1 / 151100%
Relationship between Corporate Governance and
Information Security Governance Effectiveness in
United States Corporations
Section 1: Foundation of the Study
Background of the Problem
Given the global business environment, information technology (IT) deployments
are indispensable for enabling information reliability, processing efficiency, and
communication expediency to acquire and maintain a competitive advantage (Masa’deh,
2013). Because information has measurable value (Hughes, Bon, & Rapp, 2013; Mishra
& Mohanty, 2014), data collection, processing, storage, and transmission by
organizational employees need appropriate safeguarding (Ahmad, Maynard, & Park,
2014). Safeguarding information mandates addressing information assets protection
(IAP) to ensure managerial due care and due diligence (Mohare & Lanjewar, 2012; R.
Davis, 2008).
Stemming from fiduciary responsibilities, an IT leader’s information systems
related due care is what drives appropriate information security due diligence activities
(Boyson, 2014; R. Davis, 2008; Whitman & Mattord, 2012). Instituting and sustaining
information safeguarding requires a comprehensive organizational program to address
cyber threats that can thwart organizational mission achievement (Ahmad et al., 2014;
Kushwaha, 2016; Mohare & Lanjewar, 2012). Though information security breaches can
emanate from external or internal actions (Crossler et al., 2013; Silic & Back, 2014),
enterprise IT leaders should ensure ethical behavior by every individual interacting with
the organization’s information systems through effectual information security governance
(ISG; Boyson, 2014). However, several significant information security breaches have
decreased corporate value appropriation (Clark & Harrell, 2013; Silic & Back, 2014).
Problem Statement
With cyber attackers targeting large corporations achieving a 93% success rate
during 2013 (Brewer, 2014), IT leaders needed to improve ISG practices (Silic & Back,
2014). Near the end of 2013, the average annualized cybercrime cost of globally surveyed
industry sectors was $7.22 million per organization (Brewer, 2014). The general business
problem is that many corporations are incurring financial losses due to information
security breaches. The specific business problem is that some IT leaders do not know the
relationship between strategic alignment, resource management, risk management, value
delivery, performance measurement implementations, and ISG effectiveness in United
States-based corporations.
Purpose Statement
The purpose of this quantitative correlational study was to examine the
relationship between strategic alignment, resource management, risk management, value
delivery, performance measurement implementations, and ISG effectiveness in United
States-based corporations. The targeted population consisted of strategic and tactical
leaders of the 500 largest for-profit United States headquartered corporations. The
predictor variables were strategic alignment, resource management, risk management,
value delivery, and performance measurement implementations. ISG effectiveness was
the criterion variable. The implications for positive social change include the potential to
understand the correlates of ISG effectiveness better, thus increasing the propensity for
consumer trust and reducing consumers’ costs.
Nature of the Study
I used a quantitative method for this study. Researchers use the quantitative
method to compare group differences or examine the relationship between variables
(Frels & Onwuegbuzie, 2013; Ross & Onwuegbuzie, 2014; Welford, Murphy, & Casey,
2012). The quantitative method was more appropriate than qualitative or mixed methods
because the focus of the study was to analyze numerical data and infer the results to a
larger population. A researcher’s qualitative or mixed methods analysis involves
considering words to understand the meaning of human actions (Masa’deh, Maqableh, &
Karajeh, 2014; Parylo, 2012; Turner, Balmer, & Coverdale, 2013; Welford et al., 2012).
I used a correlational research design. Correlational research enables clarifying or
discovering the relationships between variables (Turner et al., 2013). My intention was to
identify and examine factors potentially predicting effective ISG, by assessing the ISG
implementation extents within five IT Governance Institute (ITGI; 2008) ISG focus areas.
Experimental designs (true experiment and quasiexperiment approaches) were
inappropriate because I was not collecting data from more than one group, not performing
group comparisons among variables, and not seeking a cause-and-effect relationship
between variables.
Research Question
What is the relationship between strategic alignment, resource management, risk
management, value delivery, performance measurement implementations, and ISG
effectiveness in United States-based corporations?
Hypotheses
Null Hypothesis (H0): There is no significant relationship between strategic
alignment, resource management, risk management, value delivery, performance
measurement implementations, and ISG effectiveness in United States-based
corporations.
Alternative Hypothesis (H1): There is a significant relationship between strategic
alignment, resource management, risk management, value delivery, performance
measurement implementations, and ISG effectiveness in United States-based
corporations.
Theoretical Framework
To implement ISG focus areas effectively, practices for large organizations should
reflect corporate governance theoretical principles (De Haes, Grembergen, & Debreceny,
2013; Kearney & Kruger, 2013). Corporate governance by definition is the objectives,
strategies, policies, and processes for controlling and directing an enterprise (Kearney &
Kruger, 2013; Whitman & Mattord, 2012; Yaokumah, 2013). Corporate governance can
constitute a set of rules (Yaokumah & Brown, 2014) or voluntary as well as mandatory
actions (Stagliano & Sillup, 2014) governing the relationships between management and
stakeholders. Essential constructs underlying the theory are (a) strategic alignment, (b)
resource management, (c) risk management, (d) value delivery, and (e) performance
measurement (Yaokumah, 2013; Yaokumah & Brown, 2014). As applied to this study,
the corporate governance theory holds that I would expect the predictor variables
(corporate governance constructs) measured by the Yaokumah (2013) survey instruments
to forecast ISG effectiveness because ISG is a functional subset of corporate governance.
As shown in Figure 1, corporate governance theory is relevant in defining the
constructs that help evaluate ISG because corporate governance theory offers a lens for
understanding the organizational practices concerning the phenomenon (Yaokumah,
2013). Corporate governance theory application by manager-leaders can affect ISG
practices because management concepts address accountability, roles, interactions,
activities, and resource use of agents (Yaokumah, 2013). Scholars and practitioners apply
corporate governance theory to understand variations in policies, setting priorities among
goals, technological and social changes, and managerial hierarchies (Starbuck, 2014). A
contextual discussion will take place in the following literature review subsections
concerning ISG practices that support corporate governance theory and how corporate
governance theory relates to ISG effectiveness.
Figure 1. The ISG research theoretical lens. A graphical model of corporate governance
theory constructs as it applies to examining effectual ISG.
Operational Definitions
Corporate governance: Corporate governance is a system enabling firms to
strategically direct, integratively manage, and holistically control in an entrepreneurial
and ethical manner appropriate for each particular context (Hilb, 2012).
Effectual information security governance (effectual ISG): Effectual ISG is the
extent to which enterprise leaders ensure information security strategic alignment, value
delivery, risk management, performance measurement, and resource management to meet
stakeholder expectations (Yaokumah, 2014).
Information assets: Information assets are items of value that contain data (R.
Davis, 2012).
Information security: Information security is the protection of information and
information systems from unauthorized access, use, disclosure, disruption, modification,
or destruction (Da Veiga & Martins, 2015; R. Davis, 2012).
Information security governance (ISG): ISG is “a subset of enterprise governance
that provides strategic direction, ensures that objectives are achieved, manages risks
appropriately, uses organizational resources responsibly, and monitors the success or
failure of the enterprise security [program]” (ITGI, 2008, p. 18).
Performance measurement: Performance measurement involves quantifying,
monitoring, and reporting the performance of information security systems, processes,
and related activities to ensure achievement of organizational objectives (ITGI, 2008).
Resource management: Resource management represents the intention for optimal
investment in and the proper administration of information security resources by
manager-leaders (Mohare & Lanjewar, 2012; R. Davis, 2008; Yaokumah, 2013).
Risk management: Risk management reflects principles, approaches, and
processes using systematic application (Rasheed, ChangFeng, & Yaqub, 2015).
Strategic alignment: Strategic alignment centers on ensuring enterprise, IT, and
information security plan linkage; defining, maintaining, and validating the information
security value proposition; and information security operational congruence with business
and IT operations (R. Davis, 2008).
Value delivery: Value delivery represents executing the information security value
proposition throughout the delivery cycle and ensuring information security delivers
asseverated benefits against adopted enterprise strategies (R. Davis, 2008).
Assumptions, Limitations, and Delimitations
Assumptions
Assumptions represent unverified values, time, or space perceptions
(Bhattacherjee, 2012; Roy & Pacuit, 2013). Scholars and practitioners have abstracted
that information security is no longer primarily a technical issue requiring handling solely
by operational IT personnel but rather more of a governance concern (Julisch, 2013a;
Mohare & Lanjewar, 2012; Whitman & Mattord, 2012). Yaokumah (2013) recommended
addressing IAP at the governance level to mitigate organizational technology risks. I
accepted this assumption to be true and attempted to omit operational-level management
from data collection and analysis while investigating effectual ISG at the strategic and
tactical management levels.
Information security strategic planning involves some planning aspects common
to the entire organization (Whitman & Mattord, 2012). In particular, the information
security planning process should include ensuring the establishment of a mission, vision,
and values statement. Upon long-term goals and objectives creation and subsequent
strategic plans translation into tactical and operational plans, operationalization occurs
(Whitman & Mattord, 2012). Regarding strategic planning, I assumed management’s
business environment risk assessments would determine information security
implementation criticality in the United States.
Data collection occurred through the Internet for this doctoral study. Internetbased
survey use enables study participants to complete posed questions through computer
network access (Chang & Vowles, 2013). Internet-based survey use should only prevail if
the proposed study participants have access and understand the employed data collection
technologies (Yaokumah, 2013). I assumed the intended participants had access to and
familiarity with Internet.
Limitations
Limitations reflect potential study weaknesses (Bhattacherjee, 2012; Brutus,
Aguinis, & Wassmer, 2013; S. Singh, 2015). My survey response rate was extremely low
as a result of the sensitive nature of the ISG study. Previous survey-based research
evidence suggested that when collecting data of a sensitive nature, the researcher should
expect a very low response rate (Flores, Antonsen, & Ekstedt, 2014; Yaokumah, 2013).
The sample selection for the ISG study comprised broad population subcategories
(United States business sector types). As such, my research findings might be
generalizable to the target population IT leaders.
Delimitations
Delimitations are ambit restrictions in theory application (Bhattacherjee, 2012;
Denscombe, 2013). My study ambit was ISG deployments in the United States to assist
large corporation strategic- and tactical-level leaders in the enhancement of new and
existing information security programs. I focused the study on examining the level to
which IT leaders implement strategic alignment, resource management, risk management,
value delivery, and performance measurement in generating effectual ISG that prevents
and deters information security breaches.
I excluded for-profit small and medium enterprises (SMEs). However, for-profit
SMEs proportionately confront information security issues (Cholez & Girard, 2014;
Harris & Patten, 2014). Because most for-profit SMEs do not have the human and
financial resources to deploy ISG practices (Cholez & Girard, 2014; Harris & Patten,
2014), I did not include SMEs in the study. Nonetheless, for-profit SME managers who
plan to install or have implemented an ISG program may use my study findings for
understanding the correlates of ISG effectiveness and associated guidelines.
I excluded not-for-profit organizations. Because for-profit corporate
organizational formations occur to generate tangible and intangible wealth for
stakeholders while not-for-profit organizations occur to satisfy perceived societal needs
(R. Davis, 2008), nonprofit enterprises were not included in the study. Despite the
organizational formation difference, nonprofit manager-leaders who are planning
deployment or who have deployed an ISG program may use my study findings for
understanding the correlates of ISG effectiveness and associated guidelines.
I excluded operational-level management. Operational-level management
oversees the day-to-day information security related tasks in most organizations, and their
inclusion in the study might have brought some significant perspectives on the ISG
research findings (Yaokumah, 2013). However, operational-level management exclusion
from the study reflected an assumption that effectual ISG is a strategic and tactical
concern more than an operational issue (Yaokumah, 2013). As such, my random
participant sample only included strategic- and tactical-level managers.
Significance of the Study
Contribution to Business Practice
The contributions to business practice were an improvement in ISG practice areas
to protect information assets more effectively with a concomitant reduction in recovery
costs. Effectual ISG counteracts security threats through the deployment of controls
enabling ethical and legal managerial responsibilities fulfillment for IAP (R. Davis, 2008;
Tarafdar, D’Arcy, Turel, & Gupta, 2015). Scholars have specifically examined ISG
implementation maturity in developing countries (Yaokumah, 2014; Yaokumah &
Brown, 2014). However, the degree of ISG realization in developed countries has
remained an open question (Flores et al., 2014). The results of this study might help IT
leaders improve ISG practice areas to protect information assets more effectively with a
concomitant reduction in recovery costs.
Implications for Social Change
The implications for positive social change include potential increased trust and
reduced costs from electronic commerce (e-commerce) use. Information security
breaches can have a detrimental effect on stakeholder satisfaction when an incident result
in financial fraud, information tampering, or access denial (Arief, Adzmi, & Gross,
2015). Corporate IT leaders can improve trust for stakeholders in technology containing
personally identifiable information through effectual ISG (R. Davis, 2008). More secure
IT operations can benefit communities through enhanced governance quality that
consequently would increase trust and reduce costs from e-commerce use (Bahmanziari
& Odom, 2015; Ludin & Cheng, 2014; Starbuck, 2014; Yaokumah, 2014).
A Review of the Professional and Academic Literature
Similar to any other group formations, corporations reflect personal aims, values,
expectations, and sentiments that transform into a culture (Hu, Dinev, Hart, & Cooke,
2012). An enterprise’s environment represents all conditions surrounding and affecting
organizational endeavors (R. Davis, 2008). Most corporations operate in an environment
influenced by perceived stakeholder values as well as the firm’s mission, vision, and
values (Hu et al., 2012; R. Davis, 2008). Community and organizational ethics and
culture, applicable laws, regulations, and policies, as well as industry practices, affect
corporate personnel (Hu et al., 2012; R. Davis, 2008).
Managers who interact with the environment endeavor to maintain the corporate
culture while attempting to control external and internal forces affecting activities
committed to enterprise mission achievement (R. Davis, 2008; Steiger, Hammou, &
Galib, 2014). Management typically needs a governance framework that enables
organizational alignment, judicious resource allotment, adaptive risk assessments,
acceptable value delivery, and accurate performance measurements to address business
environment security issues (Mohare & Lanjewar, 2012; R. Davis, 2008). The purpose of
this quantitative correlational study was to examine the relationship between strategic
alignment, resource management, risk management, value delivery, performance
measurement, and ISG effectiveness in United States-based corporations. Considering the
above discussion led to the following central hypotheses:
H0: There is no significant relationship between strategic alignment, resource
management, risk management, value delivery, performance measurement
implementations, and ISG effectiveness in United States-based corporations.
H1: There is a significant relationship between strategic alignment, resource
management, risk management, value delivery, performance measurement
implementations, and ISG effectiveness in United States-based corporations.
Literature Review Synopsis
Corporate governance theory was an appropriate theoretical foundation to study
ISG (Hu et al., 2012; Whitman & Mattord, 2012; Yaokumah & Brown, 2014). The
method used for this research included the foundational governance theory capabilities in
providing holistic corporate ISG practices. The chosen theory was relevant in defining the
constructs that help evaluate ISG because corporate governance propositions furnish an
organizational view and understanding of the phenomenon (Yaokumah, 2013). Deriving
constructs from a previously established and proven theory also aids in measures
selection as well as furnishes a valid and comprehensive phenomenon understanding
(Yaokumah, 2013; Yaokumah & Brown, 2014).
Corporate governance scholars examined management practices, structures,
processes, and effectiveness from distinct theoretical perspectives (Yaokumah & Brown,
2014). Various combinations supporting organizational theories best describe effective
corporate governance (Htay, Salman, & Meera, 2013; Yaokumah, 2013). Scholars have
simultaneously employed institutional, resource-based, social network, and stakeholder
theories (e.g., Varsei, Soosay, Fahimnia, & Sarkis, 2014), as well as agency and
stewardship theories (e.g., Turel & Bart, 2014), to explain governance implications. Thus,
selected supporting conceptualizations have relevance in determining constructs that help
evaluate ISG effectiveness due to delineated organizational lens and phenomenon
cognitions (Yaokumah, 2013).
Scholarly researchers have referred to security program management as the ISG
focal point (Silic & Back, 2014). ISG studies typically investigate organizational
programs from any of four abstractions: strategy and information security policy,
governance structure, frameworks and standards, or information security advisory (Silic
& Back, 2014). Strategy and information security policy research has focused on
determining how organizations implement security design to protect their information
systems (Ahmad et al., 2014). Governance structure studies have centered on designed
tasks and deployed technology. Information security advisory studies offered suggestions
about the best course of action. Frameworks and standards addressed defining and
providing insights contextually related to security governance (Silic & Back, 2014).
These studies revealed abstractions considered by academia as relevant to realizing
effectual ISG.
Literature Review Sources
Researchers applied quantitative, qualitative, and mixed methods to explore,
describe, or explain information security related theories and practices (Silic & Back,
2014). I have included commentary from multiple sources, including journal articles,
throughout the literature review by comparing viewpoints while focusing on the purpose
of the study. Through scholarly bibliographic coupling (Pautasso, 2013), no more than
15% of the cited material was older than 5 years from the anticipated study completion
date. Therefore, considering the doctoral study completion date, the presented
information was recent, relevant, and credible. Table 1 summarizes the sources used in
this literature review.
Table 1
Summary of Research Sources in Literature Review
Reference type Total Less than 5
years
Total
percentage
Peer-reviewed journal articles 194 170 88
Doctoral dissertations/studies 6 5 83
Contemporary books 4 1 25
Total 204 176 86
Literature Review Organization and Strategy
A researcher gains insight into a selected topic when performing an initial
academic literature review several ways (Jaffe & Cowell, 2014). Nonetheless, the
academic literature search process is a primary study quality determinant (Jaffe &
Cowell, 2014). When writing a literature review, the goal is to reconstruct the relevant
accumulated knowledge in a particular subject domain (Schryen, 2013). A literature
search represents the first fundamental step in building the accumulated knowledge and
principally defines reconstruction in the subsequent literature analysis (Jaffe & Cowell,
2014; Wahl & Bull, 2013). My academic research for this doctoral study focused on
articles published in peer-reviewed journals, dissertations, and related doctoral studies as
well as subject-related books. The literature search strategy to obtain the best possible
periodical outcome used procedures suggested by Silic and Back (2014).
I applied a systematic literature review approach for online periodical
interrogation that consisted of a four-step process: journal, database, keywords, and
citation chaining (backward as well as forward) searches. My exploration of academic
journals included the leading periodicals in the field of information security dating back
to the early 2000s. My exploration of databases encompassed the leading digital libraries
providing access to the preeminent journals. As for keyword searches, my queries
commenced with the previously identified databases. My backward search entailed
reviewing article references generated from the keyword queries and a forward search
required examining additional sources that had cited the articles.
My literature review search for corporate ISG within the United States of America
encompassed defining various combinations of keywords. Given the topic, selected
descriptors in developing keywords included information systems (IS), information
technology (IT), as well as information and communication technology (ICT) acronyms
based on commonality of use. Thus, concerning defining keywords, my study search list
included IS security, IT security, and ICT security. Additionally, my selected search
phrases were corporate governance, information security governance, information
security, cybersecurity governance, cybersecurity, and information technology
governance.
As shown in Figure 2, I presented separate discussions on corporate governance
and ISG theories as well as practices within the doctoral study literature review.
Considering research performed by Yaokumah (2013, 2014) as well as Yaokumah and
Brown (2014), my literature review included relevant studies related to the relationship
between strategic alignment, value delivery, risk management, performance
measurement, resource management, and effectual ISG. Based on Yaokumah’s (2013)
and Yaokumah and Brown’s (2014) research, I also covered stakeholder theories, agency
theories, and resource-based theories explaining corporate governance in the literature
review. Moreover, subjects I referred to in this literature review included information
theories and decision theories linked to ISG.
Figure 2. Corporate ISG literature review organization.
Corporate Governance
Corporate governance is a significant factor influencing firm performance
(AlAzzam, Al-Qura'an, & Al-Mohameed, 2015; Alnaser, Shaban, & Al-Zubi, 2014;
Tseng, Wu, & Lin, 2013) that consequently leads to firm valuation (Mishra & Mohanty,
2014).
Corporate governance also lacks a singularly accepted theoretical foundation (Htay et al.,
2013; L'Huillier, 2014; Pande & Ansari, 2014; Sachdeva, 2014). However, most scholarly
researchers supported studies by following prominent theories to explain corporate
governance determinants (L'Huillier, 2014; Yaokumah & Brown, 2014).
Corporate governance savants examined governance structures, processes,
practices, and effectiveness using various theoretical lenses (Yaokumah & Brown, 2014).
These theoretical perspectives include stakeholder theory (e.g., Abraham, 2012; J.
Harrison & Wicks, 2013), agency theory (e.g., Heracleous & Lan, 2012; Raelin & Bondy,
2013), and resource-based theory (e.g., Turel & Bart, 2014). Notwithstanding other
theories are applicable in deriving constructs for an ISG study, the stakeholder, agency,
and resource-based theories have a significant potential influence on achieving effectual
ISG practices (Yaokumah & Brown, 2014).
Researchers presented stakeholder theory as recognizing constituencies other than
shareholders with legitimate concerns and claims regarding corporations (Heracleous &
Lan, 2012). Corporate governance theoretically furnishes internal and external control
mechanisms to protect stakeholders (Sachdeva, 2014). Miles (2012) explored whether the
lack of stakeholder theory consensus was conceptual confusion, or the stakeholder
concept was foundationally contestable. For this, Miles obtained research data through a
literature review. Miles uncovered significant evidence to classify the stakeholder
concept as both inherently contestable and essentially contested. Correspondingly, the
research benefits included demonstrating the stakeholder concept is a complex construct
(Miles, 2012).
Modern corporate governance has emphasized financial aspects of increasing
shareholder value and an integrated approach that considers the rights and interests of all
stakeholders (Hilb, 2012). Leadership, stewardship, ethics, security, vision, direction,
influence, and values are prominent corporate governance components enabling the flow
of stakeholder expectations (Flores et al., 2014; R. Davis, 2008). The integrated corporate
governance perspective focuses on stakeholder value protection as well as shareholder
value creation and enhancement (Heracleous & Lan, 2012; Hilb, 2012). Corporate
governance conceptualizations should reflect a dynamic and integrated approach
addressing financial, social, environmental, and economic concerns of all stakeholders
(Hilb, 2012). For-profit public corporation manager-leaders typically seek to optimize
stakeholder satisfaction to ensure continuity (J. Harrison & Wicks, 2013; Tashman &
Raelin, 2013). Nonetheless, scholars aligned strategic stakeholder theory with various
approaches, considering the theoretical objective and research design (Miles, 2012).
Governance helps satisfy stakeholder expectations concerning managerial
responsibilities (R. Davis, 2008). Implicit in expectations for effective governance are the
fiduciary relationship between stakeholders and executive management’s adherence to
stated values (R. Davis, 2008). Stakeholder identification (Gil-Lafuente & Paula, 2013)
and value analysis (J. Harrison & Wicks, 2013) help assess enterprise-level strategy and
organizational culture alignment. Derivatively, stakeholder and organizational values
alignment depend on the firm’s ability to pursue the defined mission effectively and
efficiently while strictly adhering to espoused organizational values. Alignment exists
and is maintainable considering the presented stakeholder values as long as an
organization can furnish products and services in a manner supporting acceptable value
creation (Chou, 2015; Di Gregorio, 2013) and value appropriation (Di Gregorio, 2013).
Deviation from the values alignment construct could result in stakeholder dissatisfaction
generating perceptions that competitors offer a stronger value proposition.
Agency theory can reflect a foundational shareholder primacy premise that owners
(principals) establish a relationship with manager-leaders (agents) through responsibilities
delegation (Heracleous & Lan, 2012; R. Davis, 2008; Yaokumah & Brown, 2014). A
tenet of this theoretical perspective is corporation shareholders are the principals who hire
the agents to perform activities (Heracleous & Lan, 2012; Tashman & Raelin, 2013;
Yaokumah & Brown, 2014). In other words, the shareholder primacy is a structure with
emphasis on shareholder ownership with manager-leaders viewed as stewards of
shareholders (Abraham, 2012). From this theoretical perspective, agents are expected to
make decisions and act in the best interest of principals (Heracleous & Lan, 2012; R.
Davis, 2008; Yaokumah & Brown, 2014). Under agency theory, boards of directors are a
means to address agency problems between managers and shareholders (Boshkoska,
2015; Feldman & Montgomery, 2015).
The board of directors can play a vital role as a corporate governance mechanism
(L. Guo, Smallman, & Radford, 2013; Misangyi & Acharya, 2014; Sachdeva, 2014).
Under the director primacy model, manager-leaders are subject to the expectations and
pressures of stakeholder constituents such as employees, suppliers, customers, and
government regulators as well as shareholders (Heracleous & Lan, 2012). The director
primacy model aligns with stewardship theory and stakeholder theory (Heracleous & Lan,
2012). Thus, manager-leaders assume the responsibilities of an organizational fiduciary
with a fiduciary duty (Heracleous & Lan, 2012; L'Huillier, 2014). Stewardship theory
assumes agents are trustworthy, with intrinsic motivation and oriented to serving the
collective rather than themselves (Glinkowska & Kaczmarek, 2015; Heracleous & Lan,
2012; Pande & Ansari, 2014). Consequently, manager-leaders must often deal with issues
that relate to organizational potency and viability while simultaneously balancing the
needs of various stakeholders (Heracleous & Lan, 2012). Accordingly, managerleaders
acquire enhanced utility when they develop a collaborative approach rather than when
they behave in a selfish and opportunistic manner (Pande & Ansari, 2014).
Researchers found not all agents adhere to making decisions in the best interest of
principals--the principal-agent agency problem (Boshkoska, 2015; Hilt, 2014; Tseng et
al., 2013). Perceptions exist that the principal-agent agency problem is a managerial
incentive issue arising when ownership is highly diffuse (Boshkoska, 2015; Heracleous &
Lan, 2012; Hilt, 2014). Other potential issues associated with corporate governance
include the principal-principal agency problem and the power of the state problem (Hilt,
2014). The principal-principal agency problem is the issue of controlling majority
shareholders from taking actions benefitting themselves at the expense of minority or
outside investors (Hilt, 2014; Mishra & Mohanty, 2014). The power of the state problem
arises from controlling the creation of corporations or expropriating existing enterprises
(Hilt, 2014; R. Davis, 2008).
Politics has been important in the evolution of corporations in the United States;
yet corporate governance evolution was nonlinear (Hilt, 2014). Deficits in the existing
corporate governance structures have contributed to the nonlinear corporate governance
evolution (Abraham, 2012). Lack of effective and efficient corporate governance can
create a business crisis (Kasum & Etudaiye-Muthar, 2014). The United States has
experienced significant episodes of corporate governance crises and governance ineptness
(Hilt, 2014). Governance crises have shown that there are serious issues with the
principal-agent relationship in particular industry sectors (Kasum & Etudaiye-Muthar,
2014). Numerous corporate governance failures have resulted from ethical commitment
lapses by manager-leaders in the form of fraud (Abraham, 2012).
Scholarly research has viewed corporate governance as a solution to agency
conflicts between management and shareholders (Kapooria, Sharma, & Kaul, 2014;
Pande & Ansari, 2014; Renders & Gaeremynck, 2012; Sachdeva, 2014; Siagian, Siregar,
& Rahadian, 2013). C. Chen, Lu, and Sougiannis (2012) revealed robust corporate
governance mitigates the positive association between the agency problem and the degree
of selling, general, and administrative cost asymmetry. In addressing the issues found in
corporate governance, United States legislators have responded by writing codes (Hilt,
2014; Mishra & Mohanty, 2014) affecting the organizational control environment (R.
Davis, 2008). The regulatory control environment has an influence on both fraudulent
workplace behaviors and counterproductive workplace behaviors (C. Chen et al., 2012).
Workplace behavioral standards and values communication typically are broadcast to a
corporation’s personnel through exemplary actions, policy statements, as well as conduct
codes (R. Davis, 2008).
The principal-principal agency problem affects corporate governance quality and
effectiveness (Renders & Gaeremynck, 2012). Renders and Gaeremynck (2012)
examined the effect of the principal-principal agency problem on the quality and
effectiveness of corporate governance structures. The authors’ sampled 1,064
observations in 14 European Union countries listed on the FTSEurofirst 300 index from
1999 to 2003 (Renders & Gaeremynck, 2012). Renders and Gaeremynck found the
constructed conflict index affects corporate governance quality and effectiveness. The
research benefits included applying a theoretical organizational governance framework to
a setting where the primary agency problem arises between majority and minority
shareholders (Renders & Gaeremynck, 2012).
Corporate governance reflects managerial power to exercise stewardship of the
firm's total resource portfolio with the objective of sustaining and enhancing shareholder
value and other stakeholders’ satisfaction while considering the corporate mission
(AlAzzam et al., 2015). Corporate business models address optimal resource deployments
(Bertels, Koen, & Elsum, 2015). Effectual corporate governance mechanisms ensure
preferable resource allocations and management (Mishra & Mohanty, 2014). Scholars
have employed resource-based theory to explain governance implications (e.g., Varsei et
al., 2014). The resource-based view of the enterprise and the resultant resource-based
theory furnish a valuable framework for explaining and predicting a corporation’s
foundational performance and competitive advantage (Kozlenkova, Samaha, & Palmatier,
2014). Resource-based theory suggests how valuable, rare and unique resources can
become for generating an organizational competitive advantage (Cui & Pan, 2015; Varsei
et al., 2014; Yaokumah & Brown, 2014).
Under the resource-based theory, resources refer to enterprise-controlled assets,
capabilities, competencies, processes and knowledge enabling deployment strategies, and
enhanced competitiveness (Tabares, Alvarez, & Urbano, 2015; Varsei et al., 2014).
Yaokumah and Brown (2014) suggested the resource-based view of organizational
resource-based theory focuses on the role of the board of directors in furnishing access to
resources needed by the enterprise. Whereas, Feldman and Montgomery (2015) advanced
the resource-based view focuses on the skills and expertise of directors as resources for
the enterprise.
Figure 3 depicts how corporate governance theories influence ISG domains
(Yaokumah & Brown, 2014). Contextually, three previously discussed corporate
governance theories map indirectly to ISG practice domains (Yaokumah & Brown,
2014). Specifically, the stakeholder theory maps to strategic alignment and value
delivery, the agency theory maps to risk management and performance measurement
while the resource-based theory maps to resource management (Yaokumah & Brown,
2014). After which, there is a one-to-one mapping correspondence between corporate
governance strategic alignment, value delivery, risk management, performance
measurement, resource management, and ISG practices.
Figure 3. Mapping of corporate governance theories to ISG domains. Adapted from “An
Empirical Examination of the Relationship Between Information Security/Business
Strategic Alignment and Information Security Governance Domain Areas,” by W.
Yaokumah and S. Brown, 2014, Journal of Business Systems, Governance & Ethics, 9(2),
p. 52. Copyright 2014 by Winfred Yaokumah and Steven Brown. Adapted with
permission (see Appendix A).
Strategic alignment. A manager-leader’s selected tactics misaligned with the
adopted corporate focal strategy can prevent performance objective realization
(Hardcopf, Goncalves, Linderman, & Bendoly, 2016). As part of corporate governance,
ISG is the most suitable path to gain control of security processes and guarantee
alignment with business strategies (Rebollo, Mellado, Fernández-Medina, & Mouratidis,
2015). ISG strategic alignment between corporate and information security functions and
strategies establishment occurs in an enterprise when strategic management ensures
information security strategies are congruent with organizational strategies (Yaokumah &
Brown, 2014). For effective strategic alignment, the corporate strategies should
encompass critical information security capabilities, future security requirements, people,
and information assets that are deployable to meet business needs (Yaokumah & Brown,
2014). Thus, effective strategic alignment must exhibit flexibility, commitment, and
adaptability attributes to meet changing business and security environments to avoid
organizational discontinuity (Yaokumah & Brown, 2014).
There are three strategy levels manager-leaders typically consider within an
organization related to alignment: corporate, business, and functional (Alsudiri,
AlKaraghouli, & Eldabi, 2013). The relationship between corporate governance, IT
governance (ITG), and ISG vary in academic literature (Williams, Hardy, & Holgate,
2013). Figure 4 depicts corporate, IT and information security functional strategic
alignment. A corporation’s information security and IT functions should align with the
organizational vision, mission, values, objectives and strategies for effective practices
(Alsudiri et al., 2013; R. Davis, 2011).
Figure 4. Functional corporate governance, ITG, and ISG strategic alignments. Adapted
from IT Auditing: Assuring Information Assets Protection (p. 54) by R. E. Davis, 2008,
Mission Viejo, CA: Pleier. Copyright 2008 by Robert E. Davis. Adapted with permission
(see Appendix A).
Nodal organizational connectivity imposes ISG alignment with enterprise-level
governance requirements (R. Davis, 2008; Yaokumah, 2013). Hierarchical node
connectivity establishment often transpires when standard attributes sharing occurs in
parent-child data relationships (Kearney & Kruger, 2013; R. Davis, 2011). In contrast,
vertical node equality defines similar data sharing perceptions (R. Davis, 2011).
Corporate executives provide the foundation for creating a legitimate governance
structure (Abraham, 2012) that permits sharing relationships. Information security nodal
connectivity enables developing and sustaining information systems strategically aligned
with the corporation’s goals and objectives (R. Davis, 2008). ISG strategic alignment
with ITG activities is also necessary for maintaining information security congruency
with corporate governance (Fenz, Heurix, Neubauer, & Pechstein, 2014; R. Davis, 2008).
ISG should reflect good corporate governance (Yaokumah & Brown, 2014). By
which, information security processes should portray good ISG. Inversely, where
consistently applied, ISG can improve corporate governance (R. Davis, 2011).
Monitoring and reporting enable information security alignment with business processes
and requirements that consequently strengthen the governance bidirectional enterprise
information security relationship (Kwon, Ulmer, & Wang, 2013; R. Davis, 2011).
Corporate IT leaders ensure strategic alignment when appropriate control deployments
occur under an effective ISG program (Mohare & Lanjewar, 2012; R. Davis, 2011).
Previous quantitative ISG survey research furnished the importance of
information security risk management, performance measurement, resource management,
and value delivery practices as organizational strategic alignment predictor variables
(Yaokumah, 2013; Yaokumah & Brown, 2014). Yaokumah (2013) as well as Yaokumah
and Brown (2014) surveyed 360 individuals within 112 Ghanaian organizations for
evaluating whether the integration of the domains generated ISG success. The Yaokumah
and Brown ISG research conferred effectual ISG realization can occur through sound
corporate governance theories while the Yaokumah ISG research presented ITG
structures, processes, and relational mechanisms applicable to generating effective ISG.
The ISG researchers’ demonstrated that organizational risk management, resource
management, performance measurement, and business value delivery practices positively
correlate to effective ISG strategic alignment (Yaokumah, 2013; Yaokumah & Brown,
2014).
Effectual ISG strategic alignment substantially enhances organizational risk
management, resource management, performance measurement, and value delivery
(Mohare & Lanjewar, 2012; Yaokumah & Brown, 2014). A cross-organizational
committee should exist to develop, implement, and monitor the corporate and ISG
strategic plans for objectives and goals synchronization (R. Davis, 2011). Once approval
of strategic plans occurs, manager-leaders must ensure direction transformation into the
right information security service and support deployments (Mohare & Lanjewar, 2012;
R. Davis, 2011). Activity alignment orientation and adaptability orientation are
complementary in strategy operationalization (Hodgkinson, Ravishankar, &
AitkenFischer, 2014). Where optimal value to customers is the adopted strategic
objective, information security realization can create a service advantage (R. Davis,
2011). Though, achieving the customer value objective through information security
realization is not riskless (Hashizume, Rosado, Fernández-Medina, & Fernandez, 2013;
R. Davis, 2011; Rebollo et al., 2015).
An ISG researcher qualitatively investigated how organizational information
systems personnel perceive the information security strategy issue. Ahmad et al. (2014)
primarily collected research data through a literature review and two focus groups (with
five participants per group) held in Korea. Ahmad et al. obtained considerable evidence
that showed security strategy is driven bottom-up rather than top-down by all study
participants representing organizations.
Stakeholder identification and salience theories assist in determining general
classes relevant to strategy development (Tashman & Raelin, 2013). However, Ahmad et
al. (2014) suggested there is a lack of knowledge and an ad-hoc approach to security
strategy development. As a potential explanation, Mohare and Lanjewar (2012) found no
ready organizational strategic roles and responsibilities framework or discussion after
conducting a literature review.
When ISG misalignment to corporate governance and ITG occurs; financial, legal,
reputational, and operational risks can escalate beyond demarcated tolerance levels (R.
Davis, 2008; Yaokumah, 2014). In fact, a functional corporation’s very existence might
depend on how well IT leaders safeguard information assets used in achieving the
adopted organizational mission (Bahl & Wali, 2014; D'Arcy, Herath, & Shoss, 2014; R.
Davis, 2008). ISG development and deployment represents how an enterprise’s
designated information security management team intends to accomplish the
organizational safeguarding mission (R. Davis, 2008; Whitman & Mattord, 2012).
Value delivery. The stakeholder perspective promotes a value-laden approach to
corporate governance as opposed to other views that are unilateral (Abraham, 2012).
Stakeholder value is derived from the relevance and quality of products as well as
services (J. Harrison & Wicks, 2013). Ascertaining the degree that manager-leaders
should give priority to competing stakeholder claims can occur through organizational-
and societal-level stakeholder power, legitimacy, and urgency assessments (Tashman &
Raelin, 2013). Given the identification of stakeholders and perceived salience, strategic
correlation occurs through satisfying what stakeholders’ value and determining valued
outcomes. Management practices ensure efficient and effective stakeholder value delivery
through good governance (Mishra & Mohanty, 2014). Investors prefer to deal with
corporations that have credible and good governance practices (Mishra & Mohanty,
2014).
Stakeholders and societies assert organizations have a responsibility to support
environmental and social sustainability efforts in a manner that is financially responsible
(Glavas & Mish, 2015). Managerial conceptual congruence nourished acceptance of the
triple bottom line (TBL; Glavas & Mish, 2015). Managers frequently used the TBL
approach to describe corporate social responsibility activities (Nalband & Kelabi, 2014).
The TBL approach places value on financial returns, human resources, and physical
environment considering fair business practices benefiting labor, the community, and the
greater common good (Sharma & Khanna, 2014).
Program management can reflect enterprise value creation that extends beyond
project portfolio performance (Rijke et al, 2014). Value creation and subsequent value
appropriation occur through efficient and effective value management. Creating value for
sustainable solutions is a means of increasing the organization’s value propositions and
remediating unsustainable business practices affecting social and ecological systems. The
stakeholder model aligns with sustainable development (Miles, 2012). However,
heterogeneity in defining stakeholders has created confusion and inadvertent failures to
address stakeholder expectations appropriately and providing optimal value delivery
(GilLafuente & Paula, 2013).
Creating optimized value for stakeholders is a responsibility of manager-leaders
(Tashman & Raelin, 2013). As commonly stated program success factors, effective value
delivery practices must engage all stakeholders and assign accountability for delivery of
expected capabilities as well as benefits realization (R. Davis, 2011; Rijke et al, 2014;
Yaokumah & Brown, 2014). ISG value delivery is a strategic alignment function of
information security strategies and business objectives (Mohare & Lanjewar, 2012;
Yaokumah & Brown, 2014). The general strategic alignment model explains the value
generated from alignment within a corporation (Flores et al., 2014). Efficient value
delivery defines and monitors key metrics and responds quickly to any changes or
deviations as well as provides continuous monitoring, evaluation, and improvement (R.
Davis, 2011; Rijke et al, 2014).
Primary information security value occurs if deployed information security assists
in meeting stated objectives of information systems (Pérez-Méndez & Machado-Cabezas,
2015; R. Davis, 2011). At the subcategory level, effective information security service
can create value (Liang-Chuan & Liang-Hong, 2015) that assists in overall ISG value
delivery. For most corporations, information security’s value is generated when requested
information is delivered within the expected timeframe and budget while satisfying
functionality requirements (R. Davis, 2011). Communicating identified data transparently
within a timeframe enabling personnel to carry out their duties is considered information
security value realization (R. Davis, 2011). However, nonfinancial barometers can
determine delivery value--such as information presentation usefulness (Hughes et al.,
2013).
Key management practices ensure effectual value delivery (R. Davis, 2011;
Yaokumah & Brown, 2014). As with links in a metal chain hoisting precious cargo,
manager-leaders must provide appropriate ISG tensile strength for the organizational
environment to achieve corporate objectives (R. Davis, 2011). Considering that acquiring
and maintaining ISG resources have costs, IAP must produce benefits from
implementation until retirement to justify expenditures (R. Davis, 2011). Unfortunately,
without adequate governance, too much tended to be promised by the organization and
contracted third party providers; while the IT end-user community assumed too much (R.
Davis, 2011). Where the expectation circumstance existed, there was the potential for
bilateral misunderstandings, resources mismanagement, poor performance, or outcomes
misalignment that invariably reduced ISG value delivery (R. Davis, 2011).
Enterprise-level business models reflect interrelated activity sets enabling value
creation, value delivery, and value appropriation (Lambert & Davidson, 2013). Business
operations rely on successful supply chain management to assist in satisfying product and
service demands (Saber, Bahraami, & Haery, 2014). Cyber security issues need
appropriate responses to achieve an acceptable cyber-resilience level for supply chains
(Boyes, 2015). Sindhuja (2014) explored the effect of information security initiatives on
supply chain performance. Resultantly, Sindhuja indicated information security initiatives
positively associated with supply chain operations that, in turn, positively influenced
supply chain performance. More recently, Boyes (2015) presented a model for securing
information across the supply chain. Using an alternative theoretical lens, Boyes explored
supply chain cyber-resilience issues considering the nature of threats and vulnerabilities
as well as the attributes of cyber security.
Arguably; IT systems, processes, activities, and tasks represent the key support
structure for effective information and communication configurations (R. Davis, 2011;
Sun & Bhattacherjee, 2014). Almost every corporate manager aspires to use technology
for integrating information, achieving process efficiencies, and transforming service
delivery into an effectiveness paragon (R. Davis, 2011). However, most corporate
managers have come to realize that emphasizing technologies and enterprise-centric
solutions will not produce the desired results; and a holistic approach is required (De
Haes et al., 2013; R. Davis, 2011). Effectual ISG value delivery practices recognize
different categories of investments that must be evaluated and managed asymmetrically
(Yaokumah & Brown, 2014).
Risk management. Extensive risk exposure can lead to failure in attaining
management’s established objectives for a corporation (Badara & Saidin, 2014). Risk
management integrates a systematic approach to identifying risk and defining the effect
on an enterprise’s ability to provide goods or services (Mohare & Lanjewar, 2012; R.
Davis, 2008). A corporation’s business risk management framework should be a strategic
axial enabled to accept diverse strategy spokes (R. Davis, 2011; Williams et al., 2013).
Business risk management should represent the proactive process by which a corporation
methodically addresses risks attached to activities with the objective of achieving
sustained benefit within each action and across the organizational portfolio (R. Davis,
2011).
An enterprise’s strategic mission as well as risk management system consideration
is necessary for achieving proper corporate performance and conformance equilibrium
(R. Davis, 2011). Corporations must establish a single control definition that serves all
organizational units to empower performance and conformance through enterprise-centric
risk management (R. Davis, 2011). Corporate risk management must also provide
standards against which organizational units can assess their control systems and
determine what improvements are necessary (Flores et al., 2014; R. Davis, 2011).
Cascading from these requirements, enterprises that execute a strong balance between
performance and conformance through appropriate value delivery risk management have
the best long-term prospects for thriving in their particular regulatory environment (R.
Davis, 2011).
Risk management is not a platitude used to demonstrate effective leadership
(Boyson, 2014, R. Davis, 2008). Those responsible for governance within an enterprise
must provide guidance dedicated to appropriately handling risks their corporation
encounters (Boyson, 2014, R. Davis, 2008). In particular, the risks associated with
information and related technology necessitates comprehensive management based on a
carefully executed impact and likelihood assessment regarding projected adverse event
occurrences (Boyson, 2014, R. Davis, 2008). Determining information asset risk
magnitudes to ensure appropriate resource allocations addressing threats, opportunities,
and vulnerabilities impacting the organization is necessary for realizing effectual ISG (R.
Davis, 2008).
Business risk management necessitates information security risk awareness by
manager-leaders (Clark & Harrell, 2013; Mohare & Lanjewar, 2012; R. Davis, 2008).
Correspondingly, there is a need for a clear understanding of the corporation’s appetite
for information security risks and information security compliance requirements (Clark &
Harrell, 2013; Mohare & Lanjewar, 2012; R. Davis, 2008). There is also a need for
transparency regarding significant organizational information security risks and
embedding management responsibilities (Clark & Harrell, 2013; Mohare & Lanjewar,
2012; R. Davis, 2008, 2011). However, Stewart and Lacey (2012) found a lack of formal
methodologies in information security awareness for systematically identifying audience
communication requirements.
Common information system security controls reduce risk to information systems
and enterprises when correctly implemented (Barton, Tejay, Lane, & Terrell, 2016).
Deployed managerial business processes and IT risk assessments can assist in
determining IAP control intensity (Flores et al., 2014; R. Davis, 2008; Rubino & Vitolla,
2014). Based on the threats, opportunities, and vulnerabilities assessment reports; an
enterprise may require IAP remediation to ensure the adequacy of the IT security control
system (R. Davis, 2008; Yaokumah & Brown, 2014). Unfortunately, it usually is
prohibitively expensive to reduce IAP risks to a tolerable level for all potential IAP
failures simultaneously (Nazareth & Choi, 2015; R. Davis, 2008). In addressing this
accepted limitation, a risk grading system assists in information asset evaluation and
prioritization (Nazareth & Choi, 2015; R. Davis, 2008; Rubino & Vitolla, 2014).
Strategic alignment practices are an organizational risk management predictor
(Yaokumah & Brown, 2014). With organizational risk management alignment, ISG can
furnish a framework for evaluating investments in information safeguarding, adequate
resource coverage, as well as enable objectives achievement (R. Davis, 2008).
Information asset managerial due care dictates consistent information security resources
administration considering a corporation’s ability to deliver business results or value at an
affordable cost--within an acceptable risk level (R. Davis, 2008; Yaokumah & Brown,
2014). Ascertaining an appropriate resource risk level prerequisites organizational risk
analyses addressing foreseeable threats, opportunities, and vulnerabilities (Mohare &
Lanjewar, 2012; R. Davis, 2008). Contextually, risk management principles and practices
are critical drivers for ISG safeguarding activities (R. Davis, 2008).
Responsibility for appropriate safeguarding activities should span the
corporation’s total tangible and intangible resources (Magdaraog-Jr, 2014; R. Davis,
2008). Risk management should be a continuous effort addressing threats, opportunities,
and vulnerabilities (Mohare & Lanjewar, 2012; R. Davis, 2008). Employing software
integrity as the research foundation, Boyson (2014) found sampled supply chain
initiatives had apparent risk management effort clustering around internally oriented
system development and core supplier-oriented sourcing. In contrast, Ahmad et al. (2014)
revealed security managers largely ignored business security risks while Magdaraog-Jr
(2014) uncovered that most enterprise manager-leaders neglect resource security
significance of some information assets.
Scholars concluded a list of significant barriers that perceivably obstruct risk
management implementation or impede risk management proficiency in programs
(Rasheed et al., 2015). Monetary constraints, schedule requirements, unstable
organizational environment, lack of executive commitment towards risk, and a deficit of
risk-aware culture are the primary barriers impeding risk management deployment in
large-scale Pakistan Telecom programs (Rasheed et al., 2015). Regarding unstable
organizational environments, supply chain risk variability and uncertainty make
predicting disruptions challenging (Chopra & Sodhi, 2014; Kumar, Himes, & Kritzer,
2014).
Concerning contextual constraints, researchers also uncovered the considered risk
management approaches do not explicitly provide mechanisms to support decision
makers in choosing an appropriate risk versus cost trade-off (Deursen, Buchanan, & Duff,
2013; Fenz et al., 2014). However, earlier research by A. Kim, Lee, and Lee (2012) found
Hacking, Incident Protection Countermeasures; IT Planning and Operating; and IT
Internal Control usable as risk management measures regarding security
countermeasures. Information security efforts should reflect coordination through
assessed risks, relevant controls development and deployment, and implemented controls
effectiveness monitoring (Flores et al., 2014).
Internal and external control systems are governance requirement projections that
may have misconceived control elements; because control construction is dependent on
the architectural frame of reference (Magdaraog-Jr, 2014; R. Davis, 2008). Internal
control systems are also enterprise-centric and may embrace mistaken assumptions
regarding required control assurance levels to satisfy stakeholders (R. Davis, 2008).
Stemming from managerialism, configured control mechanisms may only minutely affect
market inefficiencies and resulting corporate governance issues (Raelin & Bondy, 2013).
Thus, employing risk management based controls may do little to enhance stakeholder
fiduciary confidence in the corporation’s personnel because manager-leaders typically
have the ability to override deployed controls (R. Davis, 2008).
Performance measurement. Strategic alignment occurs when proper deployment
monitoring ensures success under an adopted vision (R. Davis, 2011). The essence of a
monitoring system is feedback information on the results of actions by employees (R.
Davis, 2011; Rebollo et al., 2015). Performance feedback information regularly addresses
measurement, matching, and regulation of designed processes (R. Davis, 2011, Stewart &
Lacey, 2012). The controls can be good or bad; precise or imprecise, and formal or
informal (R. Davis, 2011). Nonetheless, control has two key aspects: performance
measurement against a standard and performance remediation (if necessary) considering
the measure (R. Davis, 2011). A successful control system is one that institutes
corrections before process deviations become acute (R. Davis, 2011).
Governance control requires effective performance management (Atoum, Otoom,
& Ali, 2014). Controls are the activities increasing certainty that organizational plans are
achieving the desired objective (R. Davis, 2011). Controls can facilitate information
security implementation efficacy through influencing employee behaviors (Atoum et al.,
2014). The dispersed nature of IT limits the effectiveness of many traditional controls (R.
Davis, 2011). Nonetheless, a corporation’s products and services performance can usually
be measured quantitatively or qualitatively (R. Davis, 2011). However, selecting the
appropriate measure of the monitored performance activity is crucial for effective
performance management (Flores et al., 2014; R. Davis, 2011).
Performance management control techniques include Management by Exception,
Management by Objectives, Assurance Reporting, Network Analysis, Balanced
Scorecard Analysis (De Haes et al., 2013; R. Davis, 2011), and Budget Analysis (R.
Davis, 2011; Shaaban & Conrad, 2013). Individuals measuring performance may or may
not participate in the monitored activity (R. Davis, 2011). Nonetheless, behavioral
considerations are important in selecting who performs the measurement (Crossler et al.,
2013; Flores et al., 2014; R. Davis, 2011). Furthermore, behavioral factors are important
in what is measured, and the standards utilized for comparative analysis (Crossler et al.,
2013; Flores et al., 2014; R. Davis, 2011). Measurements should reflect the corporation’s
strategy as well as provide critical data and information about key processes, systems,
and programs (Deursen et al., 2013; R. Davis, 2011). Through analysis of data generated
by deployed tracking processes, adopted measures or indicators may be adaptively
evaluated and changed to improve managerial goals support (Flores et al., 2014; R.
Davis, 2011).
Practice and research necessitate understanding the manager-leaders’ strategic
organizational intent as an essential prerequisite for deploying an appropriate and
efficient monitoring and evaluation system (Yaokumah & Brown, 2014) ensuring
effective change management. Utilizing a maturity model can aid management in
identifying risk issues (Boyson, 2014). Procedurally, a maturity model provides a
standard means to document and evaluate the state of controls (De Haes et al., 2013;
Looy, De Backer, Poels, & Snoeck, 2013). Collectively, corporate managers can
contribute to identifying risk issues as well as rate controls through a maturity model (De
Haes et al., 2013). Some information security manager-leaders suggested that if the
system is correctly configured and appropriately monitored by trained individuals, then
breach risk minimization will prevail (Lopez, 2012).
Computer technology deployments continue to advance toward a tiered
decentralized world of distributed platforms for entering, processing, and retrieving
information (R. Davis, 2008). Given the increasing complexity of IT systems and
networks, there is a mounting information security challenge for providers and users
(Bahl & Wali, 2014; R. Davis, 2008). Where a stringent mandatory security requirement
causes a shift to outsourcing, the greater the number of clients a selected managed
security service provider has generates a corresponding increase in system
interdependency risk (Sen & Borle, 2015). For an organization’s outsourced processes,
monitoring can detect contractual risk (R. Davis, 2011). For outsourced activities,
management should have processes to govern the relationship with and the performance
of third party providers (Boyson, 2014; R. Davis, 2011).
Resource management. Business organizations face constant pressure to achieve
and maintain a competitive advantage in the marketplace (Cegielski, Bourrie, & Hazen,
2013). The resource-based theory indicates that corporations should center on
deployment and combinations of particular inputs rather than avoidance of opportunities
(Chou, 2015). Of particular importance is dynamic capabilities viewed as strategic
options that give a firm a choice to pursue new directions when opportunities arise
(Cegielski et al., 2013). Practitioners, as well as researchers, hold the opinion that a
competitive advantage derived from using IT is often temporary (Cegielski et al., 2013).
Information systems scholars have also questioned how deployed and used IT can build a
competitive advantage (Bharadwaj, El Sawy, Pavlou, & Venkatraman, 2013; Drnevich &
Croson, 2013; Seddon, 2014).
Information systems are task configurations that perform data collection,
processing, and organization for conveyance to perceived users or storage. Information
systems deployments represent the entire organization, infrastructure, elements, and
people that collect, process, store, transmit, display, disseminate, and disposition
information (Schryen, 2013). The information systems resource-based perspective
focuses on understanding what resources are most likely to contribute a competitive
advantage (Pan, Pan, & Lim, 2015). Resource Orchestration enables integrating notions
of resource management and asset orchestration (Cui & Pan, 2015; N. Wang, Liang,
Zhong, Xue, & Xiao, 2012). Resource Orchestration provides a more precise
understanding of the manager-leaders’ role in structuring a resource portfolio, bundling
resources into capabilities and leveraging the capabilities to create value for customers
(Cui & Pan, 2015; N. Wang et al., 2012). Researchers have shown that managerial IT
oversight enhances value when using a resource-based lens (Turel & Bart, 2014).
The IT architecture refers to technology priorities, and choices allowing
applications, software, networks, hardware, and data management integration into a
cohesive platform (Masa’deh, 2013). Markus and Loebbecke (2013) argued that the
digital business strategies of orchestrators have consequences beyond the boundaries of
their ecosystems when ecosystems overlap. Commonly, a disruptive IT produces a
response from the industries serving the same market (Carlo, Gaskin, Lyytinen, & Rose,
2014; Catinean & Cândea, 2013; Cui & Pan, 2015). Cross-boundary industry disruptions
may, in turn, change value networks to multisided markets (Pagani, 2013). With the
increased global competitiveness, development of platforms for IT disruptive advantage
for organizational differentiation and sustainability is a top strategic issue for business
leaders (Berman & Marshall, 2014). Disruptive changes in IT platforms have resulted in
radical and pervasive innovations in software development organizations across three
innovation types: adopted base technologies, produced services, and selected processes
(Carlo et al., 2014).
There are four classifications of ISG resources: people, information, processes,
and infrastructure (De Haes et al., 2013; R. Davis, 2011). Organizational resources use
should occur judiciously and productively to achieve management’s business objectives
while simultaneously executing control objectives (De Haes et al., 2013; R. Davis, 2011).
Control techniques for resource management include relational mechanisms, structures,
and processes (Schobel & Denford, 2013). Where applied; the best path to right-sizing
ISG controls is provisioning diligent subordinates with justified resources needed to
achieve their specific ISG IAP goals (De Haes et al., 2013; R. Davis, 2011). However,
regardless of the control techniques and automated capabilities available, the best
possible means of control is selecting high-quality employees (R. Davis, 2011).
Hiring and retaining high-quality ISG personnel is critical to sustaining IT
departmental effectiveness and efficiency (Cavusoglu, Cavusoglu, Son, & Benbasa, 2013;
R. Davis, 2011). Without competent individuals to manage or manipulate IT resources,
even a superbly designed architecture can become ineffective and inefficient (Hashizume
et al., 2013; R. Davis, 2011) in preventing or deterring an information security breach.
Corporate human resource practices can assist in ISG resource quality assurance through
legal screening processes applied to assess ISG talent competency and ethics (K. Guo &
Yuan 2012; Price, 2014; R. Davis, 2011). For instance, ethics screening is necessary
because cloud administrators typically have unrestricted access to the cloud data
(Hashizume et al., 2013). As for deployed personnel, ISG manager-leaders can enhance
service quality by ensuring superior education and training (A. Singh, Picot, Kranz,
Gupta, & Ojha, 2013; Hashizume et al., 2013; R. Davis, 2011).
Behaviorally, information security responsibility delegation must and should
occur (Posey, Roberts, Lowry, & Hightower, 2014; R. Davis, 2008). Deterministically,
the appropriate amount of authority must also transfer responsibility (R. Davis, 2008).
However, a higher direct reporting position within the corporation cannot evade ultimate
accountability for delegated responsibility and authority (R. Davis, 2008). Authority
without accountability can promote corrupt practices (Pitesa & Thau, 2013). Employee
accountability affects responsibility for meeting standards (R. Davis, 2008).
Responsibility for a standard should directly correlate to an activity responsibility
because standards become ineffective measurement tools when accountability is lacking
(R. Davis, 2008). Therefore; accountability is necessary to ensure appropriately
administered authority within the assigned responsibilities context (R. Davis, 2008).
Accountability for decision-making procedures offers a way to contain the
selfserving outcomes of power (Pitesa & Thau, 2013). As revealed by researchers,
organizational power stems from meanings, resources, process, and systems (Kolkowska
& Dhillon, 2013). Power granting to employees can occur through managerial authority,
information access, qualifications, competence, seniority, experience, reputation, or
respect (R. Davis, 2008). If information reliability is in question so is employee integrity
and corresponding controls (R. Davis, 2008). Making agents accountable for their
decision-making procedure is an effective self-serving decision restrictor under moral
hazard (Pitesa & Thau, 2013). Ultimate responsibility for conveying expectations rests
with the corporation’s manager-leaders (R. Davis, 2008). Conclusively, it is imperative
that the deployed ISG program ensure ethical employee behavior.
Information Security Governance
Just as corporate governance has been driven by the imperative to manage
organizational operations to meet stakeholder expectations for strategic alignment, value
delivery, risk management, performance measurement, and resource management, so
have ISG scholars focused on achieving similar information security accountabilities
(Yaokumah & Brown, 2014). Theories aid in conceptualizing objects and structures that
shape activities (Imenda, 2014; Scharff, 2013; Zachariadis, Scott, & Barrett, 2013).
Developed theoretical models can be generalizable and can explain cause-and-effect
relationships that enable predicting outcomes (K. Davis, 2016). Through metaanalytic
research, Silic and Back (2014) identified 164 different theories used in 684 publications
addressing information security. Silic and Back depict ISG as frameworks, standards, and
policy definitions; where appropriate strategy and security policy require contextual
deployment to protect effectually against potential risks.
Information and decision theories have convergence points when conjoined with
the binodal processes depicting organizational governance relationships (R. Davis, 2008).
Information theory practice domains include data processing systems design, organization
analysis, and advertising effectiveness; whereas decision theory practice areas encompass
organization, learning, cybernetics, and suboptimization disciplines (R. Davis, 2008). At
the application level, information theory techniques enable classification determination,
impact assessments, and technological evaluations (Hughes et al., 2013). Application-
level decision theory techniques can provide objectives determination, interaction
assessments, performance estimates, and organizational analysis (R. Davis, 2008).
Strategies and policies. ISG research encompasses strategy and policy subthemes
(Silic & Back, 2014). ISG planning allows forecasting future organizational direction and
relevant influences as well as deriving a better strategy for accomplishing objectives (R.
Davis, 2008). An extensive grasp of the corporation’s business environment, processes,
and organizational objectives enables effective information security strategies
development (Flores et al., 2014). Similar to enterprise strategic planning, the ISG
planning process translates strategy into measurable tactical and operational plans as well
as retranslating operational plans into policies, procedures, directives, standards, and rules
(R. Davis, 2008; Edwards, 2013). Ahmad et al. (2014) investigated how organizations
implemented security strategies to protect their information systems, and subsequently
found a significant proportion of the participating organizations used preventive strategies
to maintain the availability of technology services. As a preventive strategy, though
policies are necessary means to communicate expected behavior, determining the
effectiveness of adopted information security objectives is even more
critical.
Typically, safeguarding information assets translates into management ensuring
that resource acquisition, use, and disposal occurs (Boyson, 2014) through protection
mechanisms and separation-of-duties (R. Davis, 2008). These safeguarding activities
must follow policies and procedures as well as approvals because even small asset
misappropriations could cause significant losses to organizations (X. Zhao, Xue, &
Whinston, 2013). Safa et al. (2015) found a firm’s information security policy has a
positive effect on subjective norms towards performing the information security
conscious care behavior.
The effect of reward on information security policy compliance appears
inconclusive. On the one hand; Y. Chen, Ramamurthy, and Wen (2012) showed reward
plays an important part in influencing employee compliance intention. On the other hand;
Siponen, Mahmood, and Pahnila (2014) found reward does not have a significant
influence on employee compliance intention. Depending on a corporation’s technological
advancement, employer expectations transmission and reception can occur through
auditory, visual, as well as sensation activities enabling current or future processing for a
decisional application (R. Davis, 2008; Y. Chen, Ramamurthy, & Wen, 2012). The
communicated expectations list extends to acceptable business behaviors, financing
sources, as well as organizational structures (R. Davis, 2008).
Acceptable business behaviors. Governance policies are particular courses or
methods of action selected by management from alternatives to guide as well as
determine present and future decisions (R. Davis, 2008). By which, counterproductive
work behavior is an ISG policy subcategory. Categorically, counterproductive work
behavior is intentional conduct contrary to legitimate organizational interests
(ChernyakHai & Tziner, 2014; Claycomb, Huth, Flynn, McIntire, & Lewellen, 2012; H.
Zhao, Peng, & Sheard, 2013). Multilevel sanctions are designed and implemented to
prevent information security policy violations in the workplace (K. Guo & Yuan, 2012).
Regardless, scholarly information security authors have approached counterproductive
work behavior inquiry from different perspectives.
On the one hand, K. Guo and Yuan (2012) performed a quantitative study that
surveyed 2,793 Canadian organizational computer users to test a proposed mediation
model using four scenario-based questions. The scenarios used in the K. Guo and Yuan
study reflected security issues related to user authentication and access control, hardware,
software, and computer networking. The authors found personal self-sanctions and
workgroup sanctions influenced the effect of organizational sanctions regarding
employee security policy violation (K. Guo & Yuan, 2012). The researchers’ results also
revealed both personal self-sanctions and workgroup sanctions had significant negative
impact on employee intentions to violate security policies (K. Guo & Yuan, 2012).
However, organizational sanctions were nonsignificant when the personal self-sanctions
and workgroup sanctions were inclusive (K. Guo & Yuan, 2012).
On the other one hand; Claycomb, Huth, Flynn, McIntire, and Lewellen (2012)
presented data extracted from a large database of actual insider activity. The authors
obtained 15 actual cases of insider IT sabotage chosen from over 130 previously collected
cases of insider activity, covering the crimes of fraud, intellectual property theft, and
sabotage (Claycomb et al., 2012). The authors found seven of the insider cases studied
apparently became disgruntled more than 28 days before attacking (Claycomb et al.,
2012). However, nine carried out malicious act events less than a day before attacking
(Claycomb et al., 2012). The authors also found of 15 attacks, eight ended within a day
(Claycomb et al., 2012). Moreover, the authors found 12 detections occurred within a
week, and in 10 cases action was taken on the organization insider within a month
(Claycomb et al., 2012).
There are social, economic, and technological factors associated with the wrongful
use of IT (Chatterjee, Sarker, & Valacich, 2015). Comparatively, K. Guo and Yuan’s
(2012) derived assertions from a postpositivist perspective, whereas Claycomb et al.
(2012) extrapolated assertions from a social constructionist perspective. The studies have
well-presented data, yet alternative data views. In studying counterproductive work
behavior, K. Guo and Yuan’s suggested time is an important consumer behavior
determinant while Claycomb et al. considered discounting as a research affect factor.
Nonetheless, both datasets are linkable to technical, behavioral, and sociotechnical
counterproductive work behavior factors. K. Guo and Yuan communicated the practice
implications while Claycomb et al. conveyed the practice and research implications.
Financing sources. A cyber attack commonly denotes illegal activities conducted
using the Internet (Julisch, 2013a). Researchers have furnished insights concerning stock
market response to a publicly announced cyber attack on a publicly traded firm (Spanos
& Angelis, 2016). Das, Mukhopadhyay, and Anand (2012) examined the stock market
reactions to publicly declared cyber attacks on listed enterprises. For which, Das et al.
obtained data from newspaper and Internet declarations of 101 information security
breaches on firms listed in the United States or India stock exchanges. Resultantly, Das et
al. found the firm type, firm size, and attack damage potency was factors that individually
affected cumulative abnormal returns. The authors further found Denial of Service attacks
on e-commerce generated significantly negative cumulative abnormal returns (Das,
Mukhopadhyay, & Anand, 2012). Last, the authors’ research revealed information theft
attacks on financial institutions produced significantly negative cumulative abnormal
returns (Das et al., 2012).
Publicly held company manager-leaders should ensure compliance with all
regulatory disclosure requirements and guidance. However, United States Securities and
Exchange Commission (USSEC) registrants are prone to ignore or disregard the guidance
for additional information security disclosures in their regulatory filings (Stagliano &
Sillup, 2014). T. Wang, Kannan, and Ulmer (2013a) investigated how the nature of
security risk factors disclosure associated with future breach announcements. Wherefore;
T. Wang et al. (2013a) obtained data from financial reports and text-mining media
content containing a security breach announcement. Resultantly, the authors showed
disclosed security risk factors with action-oriented terms and phrases are less likely to
relate to future incidents (T. Wang et al., 2013a). The authors additionally found the
market reaction following the security breach announcement is different depending on the
nature of the disclosure (T. Wang et al., 2013a). Nonetheless, little had changed
concerning cybercrime risks disclosure over the 5 years before the published study by
Stagliano and Sillup (2014).
T. Wang, Ulmer, and Kannan (2013b) also investigated the relationship between
the textual contents of information security breach reports and the stock price. T. Wang et
al. (2013b) examined the trading volume reactions of the affected firm(s) around the
breach announcement day. For which, T. Wang et al. (2013b) obtained data from online
and offline newspaper article declarations of 89 information security breaches publicly
traded companies. Resultantly, the authors found general investors could estimate the
price and volume reactions to breach announcements based on the textual contents of the
reports (T. Wang et al., 2013b).
Organizational structures. Organizational structures are operational
segmentations, managerial layers, and constructed processes that determine how
employees accomplish work (Julisch, 2013b). Interior and exterior environmental factors
influence organizational structures (Hodgkinson et al., 2014; R. Davis, 2008; Sila, 2013).
Traditional organizational structures represent inherited, established, or conventional
business architectures (Steiger et al., 2014). Traditional organizations typically utilize the
Simple, Bureaucratic, Professional (Functional), or Divisional organizational structures
(Steiger et al., 2014). In contrast, where complexity, bureaucracy, and centralization are
excessively confining, the Adhocracy (Matrix) organizational structure supports the need
to innovate and operate situationally to overcome environmental circumstances (Steiger
et al., 2014). Less traditional corporations rely on informal organizational structures
through alliance building and boundary spanning management techniques (Foss &
Dobrajska, 2015; Steiger et al., 2014).
IT has influenced organizational formation structures (Guadalupe, Li, & Wulf,
2014). A corporation’s IT may support a myriad of users and can consist of a multitude of
individual elements connected to networks (Garba, Armarego, Murray, & Kenworthy,
2015; R. Davis, 2008). Programs or systems may perform a single task or multiple tasks
for a departmental process or the entire corporation in a centralized, decentralized, or
hybrid IT environment (R. Davis, 2008; Yaokumah, 2013). Researchers indicated
relevant knowledge and activities are the most salient factors for information systems
security in organizations (S. Kim, Yang, & Park, 2014). Within this context, knowledge
sharing and knowledge application are beneficial to employees (Findikli, Yozgat, &
Rofcanin, 2015). However, the effect of organizational structure has a slightly weaker
effect on the establishment of security knowledge sharing in organizations (Flores et al.,
2014).
Effective knowledge management supporting innovation management has become
an organizational necessity (Tseng et al., 2013). IT integration can facilitate knowledge
management using advanced IT applications to support interorganizational
communication and information processing for acquiring and sustaining a competitive
advantage (Liu, Ke, Wei, & Hua, 2013; Masa’deh, 2013). Processes to coordinate
implemented security knowledge sharing mechanisms have a significant direct influence
on the deployment of security knowledge sharing in organizations (Flores et al., 2014).
From a corporate governance lens, Kearney and Kruger (2013) showed how a security
incident could create opportunities for organizational learning. Ahmad, Maynard, and
Shank (2015) proposed a new double-loop model for incident learning to address
potential systemic corrective actions.
The knowledge barrier prevents efficient communication between information
security manager-leaders and business manager-leaders. Information security
managerleaders discerned that there is a knowledge impediment preventing efficient
communication between the two identified cohorts (Lopez, 2012). The business
managerleaders internalize the words, yet have no real understanding because of the lack
of technical information security knowledge (Lopez, 2012). Flores et al. (2014) found
business-based information security management had no significant direct effect on
security knowledge sharing. As a remedy to this knowledge sharing challenge, corporate
manager-leaders can apply Beer’s organizational cybernetics framework to ensure a
viable governance structure (Arif, 2016) for efficient communication between
information security manager-leaders and business manager-leaders.
Governance structure. Cybernetics control theory emphasizes the role of
organizational structure in information governance (Boyson, 2014). Information has been
considered a quasiphysical concept related to the degree of organization in a system
(Boyson, 2014). From a system perspective, there is a presumption that governance
structures are a process outcome (Misangyi & Acharya, 2014). Structures deployed by an
organizational governance system allocate rights and responsibilities within the
structures, and necessitates assurance that manager-leaders are operating effectively and
expectantly within the defined structures (A. Singh et al., 2013; Too & Weaver, 2014).
The role of manager-leaders is to administrate within the defined governance system
framework (Too & Weaver, 2014). Thus, ISG reflects the system through which an
organization directs and controls information security activities (Kushwaha, 2016;
Williams et al., 2013).
Although corporations exist for various reasons, the broadcasting of information
security breaches across industries is increasing public and private demands to
institutionalize ISG with program oversight (Srivastava & Kumar, 2015). Organizational
information and communication have employee responsibility and reporting structures
(Mohare & Lanjewar, 2012). Formal organizational structures often reflect constructs
associated with laws, regulations, policies, directives, procedures, standards, and rules
(Flores et al., 2014; Kearney & Kruger, 2013; R. Davis, 2008). Informal organizational
structures mirror the interlocking social makeup governing how people work together in
practice (Flores et al., 2014). Guadalupe, Li, and Wulf (2014) suggested executive team
structure is a pivotal organizational design choice.
Information security manager-leaders should have the opportunity to learn and
discuss practical ITG implementations, effective risk identification strategies, and
integration of accepted frameworks to ensure appropriately aligned IT and business
processes. Regardless, at the corporate environment detail level, organizational structures
are impacted by designed tasks and deployed technology (Guadalupe et al., 2014). Thus,
information security is both structural and technical (Boyson, 2014).
IT permits collecting and processing large data volumes as well as inspires
innovation (Soava, 2014). IT that links information systems have made
intraorganizational communication almost seamless depending on product-specificity
(Guadalupe et al., 2014). Within a corporation’s organizational structure, providing
acceptable service delivery necessitates the installation of an effective support system
(Boyes, 2015; Cegielski et al., 2013). Employed dynamic capabilities enable maintaining
competitiveness (Cui & Pan, 2015) through combining, enhancing, protecting, and
reconfiguring the corporation’s resources and abilities (Pan et al., 2015). Within the
deployed IT support system, information security service delivery and support may range
from operational protection deployment to crisis response training (R. Davis, 2008).
Concurrently, innovations may manifest in different forms that require managerial
attention (Cegielski et al., 2013).
Technological innovation adoption can raise security threats (Chou, 2015) and
presents challenges to manager-leaders that demand a shift in mindset, culture, or
operational procedures (Catinean & Cândea, 2013). As technological innovations extend
social impact, correspondingly ethical issues expand for corporate employees (Stahl,
Eden, Jirotka, & Coeckelbergh, 2014). In response, a managerial moral assessment
concerning what is sound and unsound about new devices (or methods that may emerge;
Stahl et al., 2014), and what is appropriate and inappropriate IT options use become
imperative (Stahl, Timmermans, & Flick, 2016).
Required information protection changes and maintenance can also occur through
various problems encountered by users (Safa, Solms, & Furnell, 2016) or deliberate
attacks on the established information security architecture (Safa et al., 2015). Assessing
changes in and maintenance of existing systems are critical information security service
elements contributing to value delivery (R. Davis, 2008). When assessing IT security
risks, sustained employee, as well as consumer integrity and ethics, define technology
safety (R. Davis, 2008). An essential value delivery practice for minimizing projection
versus perception risks is service-level management appropriateness (R. Davis, 2011).
For example, Ludin and Cheng (2014) surveyed 200 Malaysian young adults for online
shopping and found only electronic service quality affected customer satisfaction.
Designing and maintaining appropriate risk management requires comparative
assessments of implemented general and application IT controls (Herath & Herath, 2014;
R. Davis, 2008). As general and application security categories, significant risks to an
organization implementing and using IT are deficient logical access controls (A. Kim,
Lee, & Lee, 2012) and weak network infrastructure security (Cowley, Greitzer, &
Woods, 2015). Inappropriate environmental controls, misaligned risk responses, and
inadequate physical access controls are also significant risks to an organization
implementing and using IT (A. Kim et al., 2012). Last, inadequate confidential
information lifecycle protection is a major risk to an organization implementing and using
IT (Da Veiga & Martins, 2015; Fenz et al., 2014).
Stakeholders are a critical factor in the success or failure of computer software
(Babar, Ghazali, Jawawi, & Zaheer, 2015). Bahl and Wali (2014) investigated the effect
of ISG on information security service quality delivered to customers. The researchers
also examined the perceptions of software services provider employees regarding ISG
(Bahl & Wali, 2014). Bahl and Wali assumed that ISG as part of corporate governance
drove information security service quality. In this quantitative study, the authors found
ISG in an IT outsourcing firm providing software services has a highly significant and
predictable effect on information security service quality (Bahl & Wali, 2014). The
authors further concluded there is a positive relationship collectively between ISG and
elements of information security service quality (Bahl & Wali, 2014).
ISG frequently includes resilient security regarding the corporate IT infrastructure
and information systems supporting critical functions or business processes (Ahmad et
al., 2014). An ISG program should manage IT safeguarding (R. Davis, 2008).
Information security programs are a significant risk management element that presents
the means for preserving information assets (R. Davis, 2008). Programmatically, ISG
should control risks as an anticipated deployment advantage. With corporate risk
management alignment, ISG can provide a structure for assessing investments in data
safeguarding, adequate resource coverage, as well as allow objectives achievement
(Nazareth & Choi, 2015). IT risks can affect tangible and intangible assets, including a
firm’s: image, reputation, financial instruments, consumer confidence, proprietary
information, and competitive advantage (R. Davis, 2008; Tabares et al., 2015).
Corporations can lower risks to information through effective information systems
security (Barlow, Warkentin, Ormond, & Dennis, 2013; Barton et al., 2016).
Logical access controls are the manual and electronic policies, procedures, and
organizational structures deployed to safeguard symbolic objects (R. Davis, 2008).
Operationally adopted logical controls can ensure that only designated users with
approved authorization have access to intangible assets (R. Davis, 2008). Authorization
controls provide the ability to verify credentials granted permission to access resources
(Baltatzis, Ilioudis, & Pangalos, 2012; R. Davis, 2008). Thus, derivatively, IT
authorization empowers designation and subsequently allowed actions administration for
a given information asset (Baltatzis et al., 2012; R. Davis, 2008).
Network infrastructure facilities are the areas where IT hardware and software
reside and require access controls (R. Davis, 2008). Consistent with logical access
controls, users of the corporation’s information processing facilities should receive
authentication and authorization through a formal policy and method (R. Davis, 2008).
Physical security involves reducing technological vulnerabilities, usually by limiting
access to the buildings and rooms housing information assets, or by installing mechanical
locks on devices (R. Davis, 2008).
Organizational manager-leaders recognize the criticality of ISG as an integrative
program for achieving ITG and corporate governance success (Yaokumah, 2014). Crucial
to successful ISG program structures and processes is communication amongst all parties
based on constructive relationships, common language utilization and the shared
commitment to resolving information security related issues (R. Davis, 2008). Reflective
of characteristic organizational requirements; ISG information and communication
dissemination usually occurs at different organizational strata (Ahmad, Maynard, &
Shank, 2015; R. Davis, 2008; Williams et al., 2013). Resulting procedures are
operationally tailored, with processes linking to systems, and systems interfacing with
various programs receiving objectives from the firm’s oversight committee through
established reporting lines (R. Davis, 2008). As a corporate oversight committee
subcommittee, Audit Committee members should ensure relevant and quality cyber
security information receipt, and diffusion for devising appropriate IT risk management
strategies (Lanz, 2014).
ISG advisories. Research and practice-oriented literature offer considerable
information security advice (Ahmad et al., 2014). ISG conformance and performance
objectives were found institutionally contingent by scholars (Williams et al., 2013).
Consequently, deployed information security programs can be enterprise-centric as well
as comprehensive (Edwards, 2013; Mohare & Lanjewar, 2012; R. Davis, 2008).
Corporate manager-leaders should enhance strategic alignment attributes to achieve
effectual ISG (Yaokumah & Brown, 2014).
IT leaders usually plan, coordinate and recommend organizational information
assets deployments (R. Davis, 2008). Correspondingly, responsibility for planning IT
protection against unauthorized use and abuse should reside with the corporation's chief
information security officer (Mohare & Lanjewar, 2012; R. Davis, 2008). This
responsibility may include designing methods for preventing system attacks by external
as well as internal hackers and crackers that activate or exploit undesirable security
events (R. Davis, 2008). IT security manager-leader duties also typically include
establishing departmental policies, procedures, and standards for information assets;
based on the organizational structure (R. Davis, 2008).
IT opportunities, as well as threats, need evaluation, organization, and
management to reduce potential enterprise risks using available resources (Barrett, 2016;
Fenz et al., 2014; R. Davis, 2008). Effectual IAP technologies are valuable defense
mechanisms for combating inappropriate and malicious behavior (Claycomb et al., 2012).
Therefore, chief information security officers should assign responsibility for identifying
and evaluating deployed configuration management tools to ensure the corporate network
infrastructure maintains data integrity and availability (Boyes, 2015).
Stakeholders derive value from organizational justice cognitions, affiliation utility,
and opportunity cost perceptions (J. Harrison & Wicks, 2013). Extending agency theory
to diverse settings using a deductive approach is achievable through formally recognizing
and incorporating the institutional context encompassing the principal-agent relations into
agency-based models (Wiseman, Cuevas-Rodríguez, & Gomez-Mejia, 2012). Combined,
Stakeholder-Agency Theory explains why manager-leaders might overlook or ignore
stakeholder interests (Tashman & Raelin, 2013). As a particular, Stakeholder-Agency
Theory scholars have argued that market frictions can cause fragmentary contracting that
can misalign managerial abstractions of whom and what is significant to a corporation
(Tashman & Raelin, 2013). For instance, top management team may commit financial
resources to deploy an enterprise-wide ISG program that will ensure appropriate IAP, yet
abstains from using safeguards or other ISG program aspects (Garba et al., 2015;
Kushwaha, 2016).
Deeply embedded in employment social and physical context are security issues
(Carlson, 2014; R. Davis, 2008). Motives for information systems security
counterproductive work behavior can reflect employee organizational justice perceptions
(Willison & Warkentin, 2013). For which, organizations should focus on information
systems security awareness and moral beliefs (Vance & Siponen, 2012). Security
awareness is a process that interacts with the organizational context and with other
security management processes and elements (Tsohou, Karyda, Kokolakis, &
Kiountouzis, 2012). Monitoring of policies, user activities, network accesses, and
information security protocols can furnish opportunities to enrich training (Price, 2014).
Moreover, training improvements may occur through securing an emotional connection
or making the content especially pertinent (Price, 2014). Combined, adequate conduct
codes and training are beneficial in influencing employee conceptions of appropriate
behaviors (Vance & Siponen, 2012).
Organizational information security policies have a positive effect on subjective
norms towards information security conscious care behavior performance (Safa et al.,
2015). Nonetheless, it would serve corporations well to examine how much of their
employees’ time is spent on organizational tasks (Posey et al., 2014). High user
workloads create a conflict between assigned organizational tasks and information
security responsibilities (Posey et al., 2014). Employees who feel overburdened are more
likely to have lapses in information security vigilance (Posey et al., 2014).
According to decision theories under uncertainty, people choose an alternative
that brings the highest utility or prospect (Lee & Lee, 2012). Choice utility or prospect
consists of possible choice consequences, where each consequence has a weighted
subjective probability and utility (or value) for the decision maker (Lee & Lee, 2012). As
subcategorical decision theories, subjective expected utility theory and prospect theory
build on the same basic structure of possible outcomes and probabilities as well as
provision similar platforms (Lee & Lee, 2012).
On the other hand, subjective expected utility theory and prospect theory differ
from each other in model formulation and assumptions at the detail level (Lee & Lee,
2012). Subjective expected utility theory is a canonical decision theory that suggests a
normative decision model based on perfect rationality (Lee & Lee, 2012). The prospect
theory is a descriptive attempt to explain seemingly nonrational decisions that diverge
from canonical model predictions (Lee & Lee, 2012). Vance and Siponen (2012) found
perceived benefits had a substantial influence on employee noncompliance with
information system policies. Moreover, Ifinedo (2014) showed how social-organizational
and psychological factors might encourage or accentuate employee compliance with
information system security policies.
Employee decisions are essential to the achieving ISG goals (R. Davis, 2008).
Goal congruence influences the decision quality (R. Davis, 2008). If decision quality is
essential and if subordinates do not share the same ISG goals, manager-leaders face
losing control over expected activities (R. Davis, 2008) that may have detrimental
organizational effects. Hence, employee goal incongruence potentially suboptimizes ISG
decision quality (R. Davis, 2008). Therefore, manager-leaders must ensure employees
accept and comply with ISG goals (R. Davis, 2008). For which, manager-leaders should
acquire an in-depth understanding of the corporation’s business environment, processes,
and organizational objectives to enable provisioning information security services
congruent with organizational needs (Flores et al., 2014). Deep knowledge acquisition by
manager-leaders also permits effective coordination of information security activities
(Flores et al., 2014).
Manager-leaders should place considerable attention on risk management
(Magdaraog-Jr, 2014). Hierarchically, an organization’s control environment is an
important factor affecting IAP risk management (Mohare & Lanjewar, 2012; R. Davis,
2008). Risk management practitioners are aware of control system limitations in an
unethical control environment (R. Davis, 2008). Therefore, after completing the control
evaluation process, IAP control risk, as well as inherent risk, should be distinctively
delineated from residual risk to assist ethical manager-leaders in understanding
quantitative and qualitative control limitations (Nazareth & Choi, 2015; R. Davis, 2008).
Additionally, Kwon, Ulmer, and Wang (2013) indicated organizations need to assign
proper political influence concerning information security risks.
Stakeholders have placed pressure on corporate manager-leaders to engage in risk
management activities in supply chains (Cantor, Blackhurst, Pan, & Crum, 2014). In
response, supply chain managers should examine the technologies involved in network
configurations to assess vulnerabilities (Boyes, 2015). Organizational managers should
also refrain from performing or authorizing knowledge sharing across the supply chain
unless they are confident about protection mechanisms (Manzouri, Rahman, Nasimi, &
Arshad, 2013). Manzouri, Rahman, Nasimi, and Arshad (2013) presented a model for
securing information across the supply chain. Data collection occurred through a
literature review, investigating recent IT and conducting focus group interviews with
supply chain management and IT professionals (Manzouri et al., 2013). Resultantly, the
authors proposed Active Directory Federation Service as the best method to secure
information across the supply chain partners (Manzouri et al., 2013).
Internet-based technologies have brought organizational and customer advantages
(Safa et al., 2016). With an ever-increasing number of organizations and individuals
Internet-reliant for exchanging confidential and sensitive information, appropriate
message security is a technological management concern (Chatterjee et al., 2015; R.
Davis, 2008; Wlosinski, 2016). Researchers found security was significant for
ecommerce system quality (Homsud & Chaveesuk, 2014). Serviceable standard
ecommerce models include business-to-business (B2B) and business-to-consumer (B2C)
architectures (R. Davis, 2008; Z. Wang, Huang, & Tan, 2013). Delineated, B2B is
ecommerce between discernibly distinct organizations (R. Davis, 2008) and reflect open
standards (Sila, 2013). B2B links enable the exchange of products, services, or messages
between organizations (R. Davis, 2008; Sila, 2013). However, B2B e-commerce is more
vulnerable to security breaches when compared to legacy systems (Sila, 2013).
Electronic data interchange (EDI) methodologies are the forerunners and pillars of
Internet integrated B2B relationships (R. Davis, 2008). An analysis of business
wholesalers suggested that B2B e-commerce still relies on proprietary EDI systems (Sila,
2013). Depending on activity frequency and application, EDI control risk can become
material (R. Davis, 2008). Lack of direction, reliance on third parties, and system
dependencies potentially expose a corporation to additional legal, security, and
operational risks with an EDI system (R. Davis, 2008).
Customer loyalty determines B2C long-term success (Homsud & Chaveesuk,
2014). Regarding B2C models, Lee and Lee (2012) examined the responses of online
customers to a publicized information security incident. Lee and Lee developed and
tested a model of retreative behaviors triggered by a publicized information security
incident. The authors found an information security incident can cause a measurable
negative influence on customer behaviors although the effect seems mainly limited to that
particular website (Lee & Lee, 2012). The authors further found perceived damage, and
availability of alternative shopping sources can significantly increase retreative behaviors
of victimized customers (Lee & Lee, 2012). Last, the authors’ research revealed
perceived relative usefulness and ease-of-use of the website show limited effects in
reducing such behaviors (Lee & Lee, 2012).
Information security addresses safeguarding activities throughout information life
cycles as well as asset use within the established protection perimeter (R. Davis, 2008).
The primary objective of setting a security perimeter is provisioning an ambit for
enterprise-centric policies and protection (Konieczny, Trias, & Taylor, 2015).
Management typically designates an IAP perimeter to manage network IT security risks
programmatically (Konieczny et al., 2015). For IT-based networking, the main
improvements in protection mechanisms were e-mail user identity authentication and
email confidentiality as well as privacy transforming (Babrahem, Alharbi, Alshiky,
Alqurashi, & Kar, 2015). However, with the advent of linked information enclaves,
erecting layered protective barriers preserving IT configurations can introduce a tactical
security quagmire (Konieczny et al., 2015; H. Zhao et al., 2013). To reduce network
confounding, researchers have suggested employing usability heuristics (Jaferian,
Hawkey, Sotirakopoulos, & Velez-Rojas, 2014) and changing the IT architecture model
(Konieczny et al., 2015).
Corporate manager-leaders have a cogent incentive to identify and redress any
gaps that exist between their firm’s current access control and legal obligations.
Accessing information assets without permission is a criminally prosecutable offense (R.
Davis, 2008; Sen & Borle, 2015) as well as civilly litigable in the United States
(Romanosky, Hoffman, & Acquisti, 2014). Nonetheless, a high access control level can
decrease security flexibility (Thomson, 2012) and network performance (Hayajneh,
Mohd, Itradat, & Quttoum, 2013). To prevent, detect, or correct potential security gaps,
corporate IT leaders should voluntarily introduce formal IT related control selfassessment
procedures that assure adherence to legal obligations and organizational edicts (R. Davis,
2008).
Executives are leading the drive for bring your own device (Thomson, 2012), and
bring your own technology adoption in enterprises to achieve a competitive advantage.
Bring your own device and technology (BYODT) to the workplace trend has resulted in
security challenges (Olalere, Abdullah, Mahmod, & Abdullah, 2015). Governance is
critical to successful BYODT practices (Thomson, 2012). Governance includes
furnishing policy controls for BYODT management (Priyadarshi, 2013; Tokuyoshi,
2013). Manager-leaders are typically pursuing BYODT related policies for three reasons:
better and more costs savings, intuitive tool knowledge, and productivity gains
(Priyadarshi, 2013). However, there are security dangers that should give pause to
adopting BYODT work policies (Li & Clark, 2013; Priyadarshi, 2013; Tokuyoshi, 2013).
Specifically, resizing and integrating all organizational security requirements into a
personal device to protect work related information may present configuration challenges
(Li & Clark, 2013; Meng, Liu, Zhang, Pokluda, & Boutaba, 2015; Tokuyoshi, 2013).
Security performance measurement also becomes challenging in the cloud
computing environments (Avram, 2014; Herath & Herath, 2014; Kalloniatis, Mouratidis,
& Islam, 2013). A performance evaluation decision model allows organizations to choose
whether conducting an IT security audit is worthwhile (Herath & Herath, 2014). If
deemed beneficial, a question arises as to what additional factors need consideration
when engaging third-party assurance reporting (Herath & Herath, 2014) such as data
leakage during and after an audit as well as audit efficacy. Considering confidentiality, C.
Wang, Chow, Wang, Ren, and Lou (2013) conducted security and performance analytics
using experiment outcomes to demonstrate the proposed schemes furnish verifiable
protection and are highly efficient in a cloud computing environment. Resultantly, the
authors’ authenticator and random masking experiments generated evidence that a third
party auditor (TPA) would not obtain any stored data content knowledge on a cloud
server (C. Wang, Chow, Wang, Ren, & Lou, 2013). Additionally, regarding efficacy, the
experiments produced data that the TPA can perform various auditing tasks in a batch
manner for better efficiency (C. Wang et al., 2013).
Scholars suggested storage, virtualization, and networks are the biggest security
concerns in Cloud Computing (Hashizume et al., 2013). Complementary to the scholars’
assessment, Rai, Sahoo, and Mehfuz (2015) revealed through performing a systematic
literature review that a technical challenge when adopting Cloud Computing includes the
security architecture. As a potential technological remedy, Pfaff and Ries (2014)
emphasized using standards-based Web Single Sign-on protocols that provision
authentication requests with expressiveness and token security versatility. Subsequently,
Samanthula, Elmehdwi, Howser, and Madria (2015) suggested homomorphic encryption
and proxy re-encryption schemes can prevent the leakage of unauthorized data when a
revoked user rejoins the system. Consequently, IT leaders should deploy a comprehensive
risk assessment framework for information security to assist in the design of appropriate
employee IAP policies, procedures, standards, and rules.
Frameworks and standards. Frameworks can capture skewed model
distributions (Pagani, 2013). Frameworks can also serve as a tool for IT leaders to build
effective ISG programs (R. Davis, 2008). IT controls immersion should be transparent
throughout a corporation’s adopted ISG framework (R. Davis, 2008). As a prosecution
avoidance mechanism, deploying an exceptional ISG framework addressing every IT
resource can significantly reduce legal risks (R. Davis, 2008). ISG studies of standards, as
well as frameworks, address defining and providing contextual insights (Silic & Back,
2014).
Frameworks. Several researchers have introduced platform security frameworks.
Khalil, Khreishah, and Azeem (2014) proposed a cloud security framework that presented
the various defense lines and identified the dependency levels among them. Samanthula
et al. (2015) proposed a scheme to achieve fine-grained data sharing and access control
over the enterprise’s outsourced data in the cloud. Watfa, Khan, and Radmehr (2014)
developed and tested a proposed strategy framework for cloud single sign-on solutions
considering IT, business, and organizational domains.
Security related situations ensnaring deployed information systems have
additionally recast the way corporate employees conduct business with consumers as well
as other stakeholders (Srivastava & Kumar, 2015). Sindhuja (2014) developed and tested
an integrated information security framework that considers intra-organizational and
interorganizational activities as well as processes to strengthen the supply chain.
Similarly, Boyson (2014) developed and tested a Cyber Supply Chain Framework that
assists in determining risk governance, system integration, and operations initiative
coverage.
Properly framed, ISG supports stakeholder expectations regarding management’s
fiduciary responsibilities (R. Davis, 2008). IT application and user access multiplicity
increase the possibility of unauthorized events occurring during authorized IT sessions
(R. Davis, 2008). Information security manager-leaders can deploy a variety of
techniques to protect organizational information. Protection mechanisms are an essential
element to appropriate security (Sen & Borle, 2015). Baltatzis, Ilioudis, and Pangalos
(2012) developed and tested a proposed access control framework using a role
engineering method for collaborating organizations. Meng, Liu, Zhang, Pokluda, and
Boutaba (2015) also developed and tested a proposed collaborative framework that
enables node coordination for performing specific actions to enhance system or network
security.
Information security manager-leaders do not have the same degree of experience
with organizational information security breaches. Some information security
managerleaders have not experienced any information security breach. Other information
security manager-leaders have experienced several information security breaches.
Corporate IT leaders should establish an appropriate environment for information security
knowledge sharing (Safa & Solms, 2016). Researchers introduced frameworks that permit
securityincident managers with different trusted domains to share alarms and
countermeasures (Aguirre & Alonso, 2012). Tsohou et al. (2012) introduced a framework
that enables security awareness activities and interactions analysis with various
organizational processes and events. Similarly, Aguirre and Alonso (2012) developed and
tested a framed approach for improving the usability of security information and event
managers.
There is a perception that lack of focus and support causes information security
breaches. Organizations need a balanced approach to various technical, human and
organizational information security management challenges (A. Singh et al., 2013).
Primary punishment severity, reward significance, and control certainty effects are all
serious managerial actions with information security framework deployment (Kolkowska
& Dhillon, 2013; Y. Chen et al., 2012). Atoum et al. (2014) proposed a holistic cyber
security implementation framework to implement cyber security strategies. Williams et
al. (2013) presented a more multifaceted information protection view incorporating a
tiered technical and social features set that form and are established by governance
adaptations. Kushwaha (2016) proposed a framework for development and deployment of
an information security management system aligned with defined good governance
practices.
Organizational culture influences attitudes toward, and implementation of,
information security (D'Arcy & Greene, 2014; Edwards, 2013). The discernment of
information security manager-leaders is that organizational cultures are negative because
the information security culture is unacceptable as an operational element (Lopez, 2012).
Information security manager-leaders recognize that there is a need to improve
organizational information security. Information security manager-leaders saw the
necessity for improvement regarding how information security affects operations (Lopez,
2012). AlHogail (2015) devised a framework enabling effective information security
culture development for protecting organizational information assets.
As a cultural dimension, information security manager-leaders recognize that
there are some issues making communication with business manager-leaders difficult
(Lopez, 2012). Information security manager-leaders and business manager-leaders have
divergent views and goals making communication more demanding. There is a need for
information security manager-leaders and business manager-leaders to work together to
accomplish information security goals (Lopez, 2012). Davis (2008) constructed a practice
framework that abstracted managerial aspects permitting governance information and
communication alignment.
Standards. Ratiocinative information security standards must be designed and
implemented (Järveläinen, 2012). Evaluating the current information security state
requires comparison to accepted standards for performance measurement (R. Davis,
2008). Standards can reflect specific goals or objectives for comparison against
performance (R. Davis, 2011). IT leaders need to consider the importance of compliance
with standards for achieving effectual ISG (Lopez, 2012; Price, 2014). Effectiveness
evaluation requires measurement against established information security standards, yet
audits and standards play different roles in interorganizational IT relationships
(Järveläinen, 2012). Performance measurement point selection is critical to an effective
standard deployment (R. Davis, 2011). IT leaders should establish standards as baselines
for measuring quantity, weight, extent, value, or quality (R. Davis, 2011).
The ISO/IEC 27000 series empower information security managers with a method
for classifying and base-lining security, compliant with internationally accepted standards
(R. Davis, 2008; Sheikhpour & Modiri, 2012). Contextually, ISO/IEC 27001 provides
development and operation normative requirements regarding deployable and deployed
information security management systems (Sheikhpour & Modiri, 2012). Clauses
structure requirements for management systems that include objectives targeted by
information security controls (Sheikhpour & Modiri, 2012). The ISO/IEC 27001: 2015
version focuses on measuring and evaluating the organization’s information security
management system activities and performance. Therefore, ISO/IEC 27001 reflects a
security best practices set that permits benchmarking processes that enable governing a
corporation’s information security environment.
Effectual ISG. Information is data interpretation presented in a form that
furnishes value to a recipient (Da Veiga & Martins, 2015). Global telecommunications
services revenue was predicted to grow from $2.1 trillion USD in 2012 to $2.7 trillion
USD in 2017 at a combined average growth rate of 5.3% (Atoum et al., 2014).
Cyberattack proliferation threatens the confidentiality, integrity, and availability of IT
networks and e-commerce (Chatterjee et al., 2015). Corporate manager-leaders
worldwide are devoting significant financial resources to ensure enterprise information
security (Flores et al., 2014). For organizations in the United States, the 2014 average
total estimated cost per data breach was $5.9 million (Sen & Borle, 2015). Given cyber
attackers targeting large corporations achieved a 93% success rate during 2013 (Brewer,
2014), effectual security solutions are imperative to achieve trust relationships with
stakeholders.
Previous quantitative survey research benchmarked interindustry sector ISG
implementations and identified areas that might require improvement in developing
countries (Yaokumah, 2014). Yaokumah (2014) surveyed 360 individuals within 112
Ghanaian organizations for evaluating the ISG deployment status. The researcher found,
as a whole, the surveyed industry classifications have partially implemented ISG. The
Yaokumah ISG research revealed all surveyed Ghanaian industry sectors made marginal
efforts in aligning information security to business strategy, and performance
measurement was the least implemented ITGI ISG focus area. The research results also
revealed the ISG implementations differ significantly among the industry classifications
surveyed.
Robust corporate information security is a critical exceptional management model
factor (Stagliano & Sillup, 2014). Effectual ISG realization can occur through the
application of sound corporate governance theories (Yaokumah & Brown, 2014).
Effective ISG sustains policies, processes, personnel, and structures implemented by the
corporation’s oversight committee to inform, direct, manage, and monitor information
security activities towards objectives achievement (R. Davis, 2008). Strategic design
development typically occurs in sequential order--whether or not manager-leaders have a
formal or informal strategic planning system (R. Davis, 2011). Regarding design
operationalization, ITGI ISG practice effectiveness is evident in organizationally framed
domain outcomes (Yaokumah, 2014). Corporate IT leaders must evaluate and ensure the
quality of implemented protection mechanisms to achieve exceptional ISG performance
(Wu, Straub, & Liang, 2015).
Implicit in an aligned definition for effective ISG with corporate governance is
information security management’s fiduciary relationship with other stakeholders
(Yaokumah, 2013). The fiduciary relationship exists because there is typically an
inequality in knowledge or training (Brakewood & Poldrack, 2013) between information
security management and other stakeholders. Consequently, other stakeholders entrust
information security management to act in their best interest. Information security
management’s strategic alignment operationalization includes connection, congruence,
and participation abstractions (Schobel & Denford, 2013). Organizational information
asset valuation connection may only represent items that have the required criteria of
aiding in achieving a corporate business objective (R. Davis, 2008). However, based on
the interdependency theory, an organizational information asset unrelated to objective
achievement may compromise corporate business objective realization (R. Davis, 2008;
X. Zhao et al., 2013).
After deploying safeguarding mechanisms, critical business and ISG strategy
alignments must occur for subsequent improved firm performance (Wu et al., 2015). To
obtain an understanding of the processes and to facilitate analysis for ensuring ISG
service delivery alignment with the corporation’s strategic drive, each phase needs a
congruence appraisal to available resources (R. Davis, 2011). Through this assessment,
ISG effectiveness can reflect the proper perspective for achieving defined corporate
objectives (R. Davis, 2011). With effective ISG deployment, once ethical managerleaders
have adopted a strategic objective, courses of action by subordinates should reflect
attempts to achieve the desired end (R. Davis, 2011) through prevention and promotion
mindsets (Neubert, Wu, & Roberts, 2013). Therefore, ISG effectiveness induces doing
the right thing.
Employee engagement affects business operations, performance, and the ability to
differentiate from competitors (Brajer-Marczak, 2014). When corporate employees
develop a reputation for ensuring information confidentiality, integrity, and availability;
customers tend to exhibit electronic loyalty (Choi & Nazareth, 2014). Customers aid a
corporation in achieving value appropriation sustainability through electronic loyalty
(Price, 2014; Safa & Ismail, 2013). Manager-leaders who acquire reliable e-commerce
value appropriation can more accurately forecast organizational product and service
growth (Price, 2014). Consumer demand induced by enhanced e-commerce security can
subsequently benefit society because of the need for additional labor to support
organizational growth (Kaganer, Carmel, Hirschheim, & Olsen, 2013; Seferiadis,
Cummings, Zweekhorst, & Bunders, 2015).
Exercising effective corporate governance throughout an enterprise requires the
top-level oversight committee and management team have an unambiguous
understanding regarding what to expect from programs, systems, and processes (R.
Davis, 2008). Corporate manager-leaders should continually seek confirmation that
information security is delivering reliable services supporting the organization’s strategic
design for accomplishing adopted objectives (R. Davis, 2011). Without effectual ISG
deployment, often the information security unit is not involved in the decision-making
and approval-authorization process (R. Davis, 2011). Correspondingly, problems arise as
to who enforces standards, how manager-leaders assure their intentions are carried out
and how much autonomy users should have (R. Davis, 2011).
Empirical evidence exists that IT executive’s involvement in the top management
team relates negatively to the possibility of information security breaches (Kwon et al.,
2013). Effectual ISG necessitates information security manager-leader participation in the
decision-making process (R. Davis, 2011). Implementation decisions must reflect the
proper authority delegation to individuals responsible for acquiring, implementing,
utilizing, maintaining, as well as retiring information security systems (R. Davis, 2011).
Accordingly, an appropriate corporate control environment enhances ISG effectiveness.
Performance monitoring is enabled to ensure strategic alignment is earnestly pursued by
employees (R. Davis, 2011).
In viewing agency within an institutional framework; sufficient universality,
abstraction, and parsimony acquisition occur to aid in better understanding how, when,
and why moral hazard arises (Wiseman et al., 2012). An incentive framework for
corporate executives using contributions to IT can leverage the decision-making process
(Abraham, 2012). Kwon et al. (2013) investigated how the compensation of IT executives
relates to the risk of an information security breach. Kwon et al. found the amount of
behavior-based compensation and the pay differences of outcome-based compensation
between IT and nonIT executives associate negatively with the likelihood of information
security breaches. Kwon et al. suggested positions in the top management team need an
appropriately designed incentive scheme to motivate manager-leaders in line with
organizational goals for information security.
Strategic Alignment Variable Measurement
As a data collection tool for this study, the Yaokumah (2013) strategic alignment
survey instrument allows participants to record ISG domain implementation perceptions.
Yaokumah constructed the research strategic alignment instrument from the Australian
Trusted Information Sharing Network literature. Instrument development occurred to
measure the alignment level between ISG with business objectives and ISG effectiveness
(Yaokumah, 2013). The strategic alignment variable instrument had 13 statements that
used a 5-point Likert-like scale that gauged participant responses (Yaokumah, 2013). The
5-point Likert-like scale was as follows: 1 - not implemented (NS), 2 - planning stages
(PS), 3 - partially implemented (PI), 4 - close to completion (CC), and 5 - fully
implemented (FI; Yaokumah, 2013).
Similarly, Yaokumah (2014) developed survey items concerning strategic
alignment based on an Educause instrument that was slightly modified to include
variables defined by ITGI and the control objectives for information and related
technology (COBIT) framework. The instrument was designed to compare ISG strategic
alignment, risk management, value delivery, resource management, performance
measurement implementations among industry sectors (Yaokumah, 2014). The five
variables were measured on a 5-point Likert-like scale to gauge the responses of
participants (Yaokumah, 2014). The 5-point Likert-like scale was this: 1 - NS, 2 - PS, 3 -
PI, 4 - CC, and 5 - FI (Yaokumah, 2014).
In contrast, Yaokumah and Brown (2014) generated survey items concerning
strategic alignment based on ISG literature. The instrument was developed to evaluate
separately the relationship between ISG strategic alignment with business objectives and
ISG risk management, value delivery, resource management, as well as performance
measurement (Yaokumah & Brown, 2014). The five variables consisted of 50 items and
were measured on a 5-point Likert-like scale to gauge the responses of participants
(Yaokumah & Brown, 2014). The 5-point Likert-like scale was as follows: 1 - NS, 2 - PS,
3 - PI, 4 - CC, and 5 - FI (Yaokumah & Brown, 2014).
Value Delivery Variable Measurement
As a data collection tool for this study, the Yaokumah (2013) value delivery
survey instrument allows participants to record ISG domain implementation perceptions.
Yaokumah derived the research value delivery instrument from the ITGI. The ITGI is an
independent nonprofit research organization that guides the global business community
regarding information and technology related issues (Yaokumah, 2013). Yaokumah
developed the value delivery metric to measure the level that organizational ISG
investments deliver business value. The variable instrument consisted of five questions
and measurement on a 5-point Likert-like scale that gauged participant responses
regarding the degree of value delivery (Yaokumah, 2013). The 5-point Likert-like scale
was this: 1 - NS, 2 - PS, 3 - PI, 4 - CC, and 5 - FI (Yaokumah, 2013).
Similarly, Yaokumah (2014) developed survey items concerning value delivery
based on an Educause instrument that was slightly modified to include variables defined
by ITGI and the COBIT framework. The instrument was designed to compare ISG
strategic alignment, risk management, value delivery, resource management, performance
measurement implementations among industry sectors (Yaokumah, 2014). The five
variables were measured on a 5-point Likert-like scale to gauge the responses of
participants (Yaokumah, 2014). The 5-point Likert-like scale was as follows: 1 - NS, 2 -
PS, 3 - PI, 4 - CC, and 5 - FI (Yaokumah, 2014).
In contrast, Yaokumah and Brown (2014) generated survey items concerning
value delivery based on ISG literature. The instrument was developed to evaluate
separately the relationship between ISG strategic alignment with business objectives and
ISG risk management, value delivery, resource management, as well as performance
measurement (Yaokumah & Brown, 2014). The five variables consisted of 50 items and
were measured on a 5-point Likert-like scale to gauge the responses of participants
(Yaokumah & Brown, 2014). The 5-point Likert-like scale was as follows: 1 - NS, 2 - PS,
3 - PI, 4 - CC, and 5 - FI (Yaokumah & Brown, 2014).
Risk Management Variable Measurement
As a data collection tool for this study, the Yaokumah (2013) risk management
survey instrument allows participants to record ISG domain implementation perceptions.
Yaokumah adapted the research risk management instruments documented by Educause
and the Corporate Governance Task Force. The Corporate Governance Task Force was
formed to develop ISG frameworks, promote ISG practices at the strategic management
level, and drive effectual information security program deployments (Yaokumah, 2013).
Educause and the Corporate Governance Task Force extracted survey items from the
International Organization for Standardization/International Electrotechnical Commission
(ISO/IEC) 17799 and the Federal Information Security Management Act (Yaokumah,
2013). The variable instrument consisted of nine questions and measurement on a 5-point
Likert-like scale that gauged participant responses regarding risk management
(Yaokumah, 2013). The 5-point Likert-like scale was as follows: 1 - NS, 2 - PS, 3 - PI, 4
- CC, and 5 - FI (Yaokumah, 2013).
Similarly, Yaokumah (2014) developed survey items concerning risk management
based on an Educause instrument that was slightly modified to include variables defined
by ITGI and the COBIT framework. The instrument was designed to compare ISG
strategic alignment, risk management, value delivery, resource management, performance
measurement implementations among industry sectors (Yaokumah, 2014). The five
variables were measured on a 5-point Likert-like scale to gauge the responses of
participants (Yaokumah, 2014). The 5-point Likert-like scale was as follows: 1 - NS, 2 -
PS, 3 - PI, 4 - CC, and 5 - FI (Yaokumah, 2014).
In contrast, Yaokumah and Brown (2014) adopted survey items concerning risk
management from an Educause instrument. The instrument was used to evaluate
separately the relationship between ISG strategic alignment with business objectives and
ISG risk management, value delivery, resource management, as well as performance
measurement (Yaokumah & Brown, 2014). The five variables consisted of 50 items and
were measured on a 5-point Likert-like scale to gauge the responses of participants
(Yaokumah & Brown, 2014). The 5-point Likert-like scale was as follows: 1 - NS, 2 - PS,
3 - PI, 4 - CC, and 5 - FI (Yaokumah & Brown, 2014).
Performance Measurement Variable Measurement
As a data collection tool for this study, the Yaokumah (2013) performance
measurement survey instrument allows participants to record ISG domain implementation
perceptions. Yaokumah adapted the research performance measurement instruments
documented by Educause and the Corporate Governance Task Force. The Corporate
Governance Task Force was formed to develop ISG frameworks, promote ISG practices
at the strategic management level, and drive effectual information security program
deployments (Yaokumah, 2013). Educause and the Corporate Governance Task Force
extracted survey items from the ISO/IEC 17799 and the Federal Information Security
Management Act (Yaokumah, 2013). The variable instrument consisted of four questions
and measurement on a 5-point Likert-like scale that gauged participant responses
regarding performance management (Yaokumah, 2013). The 5-point Likertlike scale was
as follows: 1 - NS, 2 - PS, 3 - PI, 4 - CC, and 5 - FI (Yaokumah, 2013).
Similarly, Yaokumah (2014) developed survey items concerning performance
measurement based on an Educause instrument that was slightly modified to include
variables defined by ITGI and the COBIT framework. The instrument was designed to
compare ISG strategic alignment, risk management, value delivery, resource
management, performance measurement implementations among industry sectors
(Yaokumah, 2014). The five variables were measured on a 5-point Likert-like scale to
gauge the responses of participants (Yaokumah, 2014). The 5-point Likert-like scale was
as follows: 1 - NS, 2 - PS, 3 - PI, 4 - CC, and 5 - FI (Yaokumah, 2014).
In contrast, Yaokumah and Brown (2014) adopted survey items concerning
performance measurement from an Educause instrument. The instrument was used to
evaluate separately the relationship between ISG strategic alignment with business
objectives and ISG risk management, value delivery, resource management, as well as
performance measurement (Yaokumah & Brown, 2014). The five variables consisted of
50 items and were measured on a 5-point Likert-like scale to gauge the responses of
participants (Yaokumah & Brown, 2014). The 5-point Likert-like scale was as follows: 1
- NS, 2 - PS, 3 - PI, 4 - CC, and 5 - FI (Yaokumah & Brown, 2014).
Resource Management Variable Measurement
As a data collection tool for this study, the Yaokumah (2013) resource
management survey instrument allows participants to record ISG domain implementation
perceptions. Yaokumah adapted the research resource management instruments
documented by Educause and the Corporate Governance Task Force. The Corporate
Governance Task Force was formed to develop ISG frameworks, promote ISG practices
at the strategic management level, and drive the deployment of effectual information
security programs (Yaokumah, 2013). Educause and the Corporate Governance Task
Force extracted survey items from the ISO/IEC 17799 and the Federal Information
Security Management Act (Yaokumah, 2013). The variable instrument consisted of 19
questions and measurement on a 5-point Likert-like scale that gauged participant
responses regarding resource management (Yaokumah, 2013). The 5-point Likert-like
scale was as follows: 1 - NS, 2 - PS, 3 - PI, 4 - CC, and 5 - FI (Yaokumah, 2013).
Similarly, Yaokumah (2014) developed survey items concerning resource
management based on an Educause instrument that was slightly modified to include
variables defined by ITGI and the COBIT framework. The instrument was designed to
compare ISG strategic alignment, risk management, value delivery, resource
management, performance measurement implementations among industry sectors
(Yaokumah, 2014). The five variables were measured on a 5-point Likert-like scale to
gauge the responses of participants (Yaokumah, 2014). The 5-point Likert-like scale was
as follows: 1 - NS, 2 - PS, 3 - PI, 4 - CC, and 5 - FI (Yaokumah, 2014).
In contrast, Yaokumah and Brown (2014) adopted survey items concerning
resource management from an Educause instrument. The instrument was used to evaluate
separately the relationship between ISG strategic alignment with business objectives and
ISG risk management, value delivery, resource management, as well as performance
measurement (Yaokumah & Brown, 2014). The five variables consisted of 50 items and
were measured on a 5-point Likert-like scale to gauge the responses of participants
(Yaokumah & Brown, 2014). The 5-point Likert-like scale was as follows: 1 - NS, 2 - PS,
3 - PI, 4 - CC, and 5 - FI (Yaokumah & Brown, 2014).
ISG Effectiveness Variable Measurement
As a data collection tool for this study, the Yaokumah (2013) ISG effectiveness
survey instrument allows participants to record ISG domain implementation perceptions.
Yaokumah derived the ISG effectiveness instrument from practice literature documented
by Westby and Allen. ISG effectiveness was the criterion variable (Yaokumah, 2013).
Instrument development occurred to measure the relationship between ISG risk
management, value delivery, resource management, performance measurement
implementations, and ISG effectiveness (Yaokumah, 2013). The variable instrument
consisted of six statements and measurement on a 5-point Likert-like scale that gauged
participant responses regarding ISG effectiveness (Yaokumah, 2013). The ISG
effectiveness research survey instrument used a 5-point Likert-like scale that ranged from
1 strongly disagree (SD), 2 - disagree (D), 3 - not sure (NS), 4 - agree (A), and 5 -
strongly agree (SA; Yaokumah, 2013).
Transition
The purpose of this quantitative correlational study was to examine the
relationship between strategic alignment, resource management, risk management, value
delivery, performance measurement implementations, and ISG effectiveness in United
States-based corporations. Section 1 of this ISG study contains foundational research
information. The section also encompasses a meritorious presentation for conducting the
selected doctoral research domain. Topics I covered included the background of the
study, the problem and purpose statement, the nature of the study, the research question,
hypotheses; theoretical framework; operational definitions, study assumptions,
limitations, and delimitations; the significance of the study, and the literature review.
My ISG study addressed a population of the 500 largest for-profit United States
headquartered corporations using a corporate governance theory lens. The study sample
consisted of 454 strategic and tactical manager-leaders from the 500 largest for-profit
corporations headquartered within the United States geographic boundaries. The results
of my study may benefit businesses by assisting manager-leaders with improving ISG
practice areas for protecting information assets more effectively, and contribute to social
change through increased trust of IT. The study outcomes might add to the literature by
contributing to the body of knowledge related to ISG. In Section 2, I cover the purpose
statement, the role of the researcher, as well as the strategy used to select participants,
collect, validate, organize, and analyze data. In Section 3, I cover the presentation of
research outcomes, the business and social implications of the study, recommendation for
action, and recommendations for further research.
Section 2: The Project
Purpose Statement
The purpose of this quantitative correlational study was to examine the
relationship between strategic alignment, resource management, risk management, value
delivery, performance measurement implementations, and ISG effectiveness in United
States-based corporations. The targeted population consisted of strategic and tactical
leaders of the 500 largest for-profit United States headquartered corporations. The
predictor variables were strategic alignment, resource management, risk management,
value delivery, and performance measurement implementations. ISG effectiveness was
the criterion variable. The implications for positive social change include the potential to
understand the correlates of ISG effectiveness better, thus increasing the propensity for
consumer trust and reducing consumers’ costs.
Role of the Researcher
The National Commission for the Protection of Human Subjects of Biomedical
and Behavioral Research (NCPHS, 1979) wrote The Belmont Report, which provided
ethical practices guidance for research involving human subjects regarding respect for
persons, beneficence, and justice. In compliance with The Belmont Report, I treated all
participants as independent agents and sought to protect participants from any harm
related to the research process (NCPHS, 1979). I also attempted to maximize benefits and
reduce risks related to the research process, as well as conduct all research with a fair
distribution of burdens and benefits (NCPHS, 1979).
As a management audit consultant, senior audit manager, a freelance author, a
contracted trainer, as well as a university-level instructor, I reviewed, wrote, and
presented ISG subject matter. Specifically, my background encompasses more than 25
years of audit, information security, and accounting practice related to the doctoral study
subject matter. My experience also includes 12 years of writing professional practice
literature directly or indirectly related to ISG design, deployment, and assurance. Through
professional experiences and literary research, I received communications from managers
and authors indicating ISG can effectively decrease information security breaches.
Quantitative research typically reflects the postpositivist paradigm (R. Harrison,
2013). In a quantitative correlation study, a researcher examines the relationship between
variables (Frels & Onwuegbuzie, 2013). When conducting a quantitative study from a
postpositivism perspective, a researcher must remain objective regarding the research
with limited human subject involvement (K. Davis, 2016). The role I played in this
quantitative ISG study was to recruit participants and compile, organize, analyze, and
interpret data to test the hypotheses and answer the research question.
Participants
The population of interest for this study was strategic and tactical leaders
employed by the 500 largest for-profit corporations headquartered in the United States.
Specifically, the population of interest worked for the largest enterprises that obtained
articles of incorporation within United States of America territorial boundaries.
Moreover, the population of interest used IT to store, process, or transmit buyer, supplier,
or intrafunctional data (Yaokumah, 2014). The Internet-based survey of the target
population commenced after obtaining ethics clearance from the Walden University
Institutional Review Board (IRB).
I selected stratified proportional samples from within the strategic- and
tacticallevel managers who were directly or indirectly responsible for organizational IAP
and had at least 1 year of experience with ISG practices. For the purpose of this study,
strategic- and tactical-level management were persons working as upper-level or
middlelevel managers, respectively. Chief executive officers, chief information officers,
chief operations officers, chief information security officers, chief audit executives, chief
finance officers, and other upper-level as well as middle-level business managers formed
the eligible research participant list. The selected participants were comparable to other
research of a similar nature, such as Yaokumah (2013).
To enable participant recruitment for the ISG study, I sought e-mail addresses and
phone numbers of potential candidates. I did not involve organizational employees in the
recruitment process. The information sources for potential participants were publicly
available business newsletters, third-party websites, and organizational websites.
Subsequently, I randomly selected three participants from each corporation using the
compiled list of obtained e-mail addresses. Thereby, all sample frame participants had an
equal chance of selection for participation in the study. Last, the selected participants
received a personalized e-mail invitation to take part in the study. Similar to the
Yaokumah (2013) dissertation sampling procedures, I envisioned this quantitative
correlational study would include a stratified random selection of approximately 454
survey participants drawn from 1,500 candidates to collect data on ISG programs and
acquire an adequate sample size (see Appendix B).
Research Method and Design
The research question posed by an investigator impels the choice of examination
methods (Fetters, Curry, & Creswell, 2013). Based on the research question, I employed a
quantitative method with a correlational design using a survey technique to collect data
from willing participants. My study intent was to examine the relationship between
strategic alignment, resource management, risk management, value delivery, performance
measurement implementations, and ISG effectiveness in United States-based
corporations. In the following research method and design subsections, I explain why a
quantitative method and correlational design were more appropriate for my study.
Research Method
Research methodology choice affects the validity and generalizability of an
investigated phenomenon (Wahyuni, 2012), for which due care is necessary when
selecting the study methodology (Welford et al., 2012; Wester, Borders, Boul, & Horton,
2013). Considering the question and hypotheses, my quantitative research approach
aligned with the general theoretical direction available for a postpositivist paradigm. The
scientific method lens for postpositivism research is deterministic and reductionist
(Christ, 2013; Yilmaz, 2013). I used a quantitative methodology to furnish answers to the
effectual ISG question and hypotheses by examining the relationship between governance
implementations and ISG practices.
Objectively collecting and disseminating information and data directly aligns with
a postpositivist worldview, for which objectivity is essential to achieving competent
inquiry (Christ, 2013; K. Davis, 2016; Mayoh & Onwuegbuzie, 2015). Thus, my ISG
academic research findings reflected the empirical measurement of objective reality
existing in the world where the postpositive epistemology and ontology invoke a
quantitative survey as the strategy of inquiry. This scholarly investigation reflected a
theory governing corporations that permitted testing as well as verification and
refinement to gain usable understandings addressing ISG practices. In other words, this
postpositivist ISG research as a scientific method began with a theory. I subsequently
collected data to refute or support the governance theory and made any necessary
revisions before performing additional hypotheses testing.
The primary distinction between quantitative- and qualitative-based research is the
numerical value assignments to data elements (Dellis, Skolarikos, & Papatsoris, 2014;
McCusker & Gunaydin, 2015; Yilmaz, 2013). Authors of ISG-related studies previously
reported using the quantitative approach (e.g., K. Guo & Yuan, 2012; Hu et al., 2012;
Yaokumah, 2013, 2014; Yaokumah & Brown, 2014). The quantitative method was more
appropriate than qualitative or mixed methods because the study focus was to analyze
numerical data and infer the results to a larger population. The qualitative methodology
was inappropriate because the ISG problem analysis addresses numbers and the meaning
of these numbers. In qualitative and mixed methods analysis, a researcher considers
words to understand the meaning of human actions (Masa’deh et al., 2014; Parylo, 2012;
Turner et al., 2013; Welford et al., 2012).
A pragmatic abstraction level to research frames mixed methods studies (R.
Harrison, 2013; Siddiqui & Fitzgerald, 2014). The mixed methods approach combines
quantitative and qualitative methods in the same research inquiry (R. Harrison, 2013;
Ross & Onwuegbuzie, 2014; Siddiqui & Fitzgerald, 2014; Venkatesh, Brown, & Bala,
2013). Mixed methods approach application can help develop insights into various
phenomena of interest that could not be fully understood with a singular quantitative or
qualitative approach (Mayoh & Onwuegbuzie, 2015; Siddiqui & Fitzgerald, 2014;
Venkatesh et al., 2013). Researchers advanced that a mixed methods study requires
extensive data collection and analyzing the numerical data within a particular period
(Mayoh & Onwuegbuzie, 2015). The mixed methods research strategy has an
interdisciplinary view that contributes to the need for study team formations with
members having diverse scholarly interests and approaches (McKim, 2015). The mixed
method was inappropriate for this study because of the time and investigator diversity
typically required to conduct sufficient research.
Research Design
Research design links methodology and a method set to enable deducing logical
and valid constructs (Wahyuni, 2012). The appropriate research design is an essential
element in conducting a study because this element helps determine research quality
(Wahyuni, 2012). With due consideration of possible research approaches, while
pursuing a quantitative strategy, I used descriptive and explanatory designs. In other
words, for this study, I used a nonexperimental correlational research approach.
Correlational research enables clarifying or discovering the relationships between
variables (Turner et al., 2013).
A quantitative inquiry strategy is an experimental design (Turner et al., 2013),
where the choices encompass true and quasi designs (Bhattacherjee, 2012; Cokley &
Awad, 2013). Considering the control, manipulation, and randomization research tenets
(Welford et al., 2012), an experimental approach was inappropriate. Specifically, the
phenomenon under study was inappropriate for true experiment and quasiexperiment
approaches because I was not collecting data from more than one group, not performing
group comparisons among variables, and not seeking a cause-and-effect relationship
between variables.
In contrast, qualitative research stresses the socially constructed nature of reality,
the connection between the researcher and studied phenomena, as well as the situational
constraints that shape inquiry (Welford et al., 2012). There are five primary qualitative
research design classifications: narrative, ethnography, grounded theory,
phenomenological, and case studies (Parylo, 2012). On the one hand, an exploratory
qualitative approach requires the researcher to find the theory in the collected data
empirically yet inductively (Trotter, 2012). On the other hand, a confirmatory qualitative
approach necessitates applying culture theory to a research topic (Trotter, 2012). The
qualitative research design exploratory foundation (Khan, 2014; Parylo, 2012; Welford et
al., 2012) as well as using a confirmatory basis (Trotter, 2012) did not align with the ISG
research question.
Population and Sampling
Population
The population of interest was strategic and tactical managers employed by the
500 largest enterprises that obtained articles of incorporation within United States of
America’s territorial boundaries. Based on 2015 governmental agency report filings (e.g.,
USSEC, 2015), the 500 largest United States-based corporations represented 21 business
sectors (see Table 2). The listed 500 companies had $17 trillion in known market value as
of March 31, 2015. As reported by the corporations, at the end of 2014, the 500 largest
United States corporations accounted for $12.5 trillion in revenues and employed 26.8
million individuals globally. The target population for this study was 1,500 strategic and
tactical managers employed by the 500 largest for-profit corporations headquartered in
the United States. The target population used IT to store, process, or transmit buyer,
supplier, or intrafunctional data (Yaokumah, 2014).
Table 2
United States Business Sector Classifications of the 500 Largest Corporations
Business Code Business Sector Type Number of Firms Number of employees
1 Aerospace & Defense 11 875,576
2 Apparel 5 220,047
3 Business Services 16 640,455
4 Chemicals 14 404,818
5 Energy 69 1,137,078
6 Engineering & Construction 11 284,603
7 Financials 75 3,147,085
8 Food and Drugs 8 1,280,670
9 Food, Beverages, & Tobacco 25 1,081,770
10 Healthcare 39 1,862,429
11 Hotels, Restaurants, & Leisure 12 1,809,594
12 Household Products 14 582,827
13 Industrials 14 794,676
14 Materials 19 391,241
14 Media 11 421,065
16 Motor Vehicles & Parts 14 1,040,700
17 Retailing 46 5,534,684
18 Technology 41 2,814,815
19 Telecommunications 11 773,098
20 Transportation 18 1,228,579
21
Wholesale
27
467,534
Total 500 26,793,344
Note: Number of employees reflects summarization of acquired governmental reports.
See Appendix C for United States-based corporation stratification list.
Given the perceived need for centralized control of the information security
function in the United States (Flores et al., 2014), the individuals I anticipated would
participate in this study played strategic or tactical roles directly or indirectly responsible
for organizational IAP and had at least 1 year of experience with ISG practices. Strategic
and tactical corporate agents enable large supplier and buyer repositories of sensitive
business and personal information that, if compromised, would have serious
organizational and personal repercussions (R. Davis, 2008; Srivastava & Kumar, 2015;
Tarafdar et al., 2015). As strategic and tactical corporate agents, upper-level and
middlelevel business managers comprised the probabilistic stratified random sample.
Sampling
Researcher stratified subject data collection reflects dissecting and regrouping a
population into subpopulations then applying appropriate sample selection methods
(Bhattacherjee, 2012; Robinson, 2014). Stratified sampling is a probability sampling
technique where target population division into mutually exclusive, homogeneous
segments occurs first (Bhattacherjee, 2012; Walden University, 2014). In using
proportional stratified sampling, participants represented in the sample from each stratum
are proportionate to the total number of elements in the respective strata (Bhattacherjee,
2012). Subsequently, a simple random item selection occurs for each stratum
(Bhattacherjee, 2012; Walden University, 2014)--where random sampling is item
selections from within the target population list using a random selection procedure
(Robinson, 2014). I deemed proportional stratified sampling more appropriate than other
probabilistic techniques such as systematic sampling because the number of corporate
industry sectors varies by business sector within the target research population (see
Appendix C).
Probability sampling necessitates the researcher knowing the sampling frame
(Acharya, Prakash, Saxena, & Nigam, 2013; Bhattacherjee, 2012; Hitchcock,
Onwuegbuzie, & Khoshaim, 2015; Uprichard, 2013). As shown in Appendix C, 21 total
business sector types located within the United States comprised the stratum through my
stratification of 66 sampling frame industry types. I drew the sampling units from the
sampling frame of 1,500 potential participants (1,500 potential participants = 500
corporations x 3 manager-leaders) obtained through performing Internet searches based
on a publicly available list of the 500 largest corporations (i.e. Zyxware Technologies,
2016).
In alignment with proportional stratified sampling technique, I used a
proportionate allocation of business sector types to generate a sampling percentage based
on the total target population of the 500 largest United States-based corporations. I then
applied the generated sampling percentage to the eligible participants in each of the
business sector strata proportional to the 500 largest United States-based corporations.
Subsequently, I performed a simple random item selection for each business sector
stratum representing the 500 largest United States-based corporations under study.
There are advantages and a disadvantage in using proportionally based stratified
random sampling technique (Acharya et al., 2013). Advantageously, stratifying a
population offers flexibility that might lead to remedies to certain issues confronting a
survey designer (Yaokumah, 2013). Moreover, assuming limited missing data, a stratified
random sample furnishes a sample more representative of the population under study
(Acharya et al., 2013). A stratified random sample also improves the representation of
particular strata within the population (Acharya et al., 2013), as well as ensuring a
stratum is not overrepresented. Stratified random sampling also allows researchers to
make valid statistical conclusions from the collected data (Acharya et al., 2013).
On the other hand, a stratified sampling method’s disadvantage is meeting the
conditions for proper researcher use (Sekaran, 2003). Specifically, to apply the stratified
sampling technique, the researcher must identify every population element under study
and categorize each population element into a unique subpopulation (Bhattacherjee,
2012; Walden University, 2014), which can be time-consuming. Thus, the first trial is
obtaining an exhaustive and relevant list of an entire population under study (Acharya et
al., 2013). The second trial is accurately sorting each population element into mutually
exclusive strata (Acharya et al., 2013) which was business sector type.
Empirical evidence generated by researchers revealed the size of corporate
executive teams was increasing (Guadalupe et al., 2014). Thus, the risk that there were
fewer than three strategic or tactical managers per organization for the 500 largest United
States-based corporations appeared unlikely. However, had I encountered a situation
where less than three target population members met the eligibility criteria, there would
have been a firm employees’ omission from the random proportional stratified sample of
the sampling frame. Inversely, when more than three target population members met the
eligibility criteria a random selection occurred, then the firm and three associated
employees were included in the random proportional stratified sample of the sampling
frame. Resultantly, I envisioned this quantitative correlational study to include a stratified
random selection of 92 survey participants drawn from 1,500 candidates to collect data on
ISG programs and acquire an adequate sample size based on the power analysis.
Separate from the chosen enterprise size, other factors to consider when
addressing the research question are the participation sample size and the response return
rate (Yaokumah, 2013). A low response rate could indicate nonresponse bias (Barton,
2014). Researchers have revealed a relatively low response rate expectation for ISG
studies (Yaokumah, 2013, 2014; Yaokumah & Brown, 2014). A low response rate may
occur because of various issues associated with Internet use (Chang & Vowles, 2013).
The desire to be comprehensive and the oversurveying of manager-leaders may also
generate a low survey response rate (Flores et al., 2014). Flores et al., (2014) indicated
researchers should expect a very low response rate when collecting data of a sensitive
nature. For example, Yaokumah (2013, 2014) as well as Yaokumah and Brown (2014)
ISG studies resulted in 23% return rates.
Sensitive topics evoke concerns over information disclosure that may render a
study problematic for both researchers and participants (Barton, 2014; Roster, Albaum, &
Smith, 2014). Researchers advised scholars studying topics related to information
security refrain from using survey instrument mass mailings to collect data of a sensitive
nature (Yaokumah, 2013). The reasoning for the research advisory was that individuals
within an organization are typically unwilling to disclose such information when they
perceive a lack of data privacy and confidentiality (Yaokumah, 2013). The
communications conducted for this Internet-based survey occurred through the
participants’ private e-mail addresses and an Internet-based survey site. Using the
selected communication technique provides robust privacy assurance with the intent to
ensure minimal risk of harm to study participants (Yaokumah, 2013).
The strategy for this study relied on both single respondents and multirespondents
from each selected corporation, and a combined results analysis to determine industry
level ISG effectiveness. Respondent sample selection for this study proportionally
reflected the population industry sector subsets. Thus, having corporate top management
team personnel complete the survey instrument was sufficient for addressing the research
question because organizational manager-leaders deal directly with enterprise governance
(Kwon et al., 2013; Yaokumah & Brown, 2014).
Power analysis. Sample size determination is an essential consideration in
scholarly research (Hayat, 2013; Rao, 2012; Zhan, 2013). The most commonly used
sample size determination approach relies on hypothesis-based methods of power
analysis (Hayat, 2013). Researchers consider the theoretical frame, population size and
characteristics, and statistical analysis when performing power analysis (Trotter, 2012).
Statistical power is the difference of one minus the probability of incorrect null
hypothesis acceptance (1- beta error probability; Rao, 2012; Zhan, 2013). G*Power is a
statistical software package that enables a priori sample size determination (Faul,
Erdfelder, Buchner, & Lang, 2009). For country-level studies, lacking statistical power is
more severe than at the international level (Zhan, 2013). I used G*Power version 3.1.9.2
to determine the appropriate sample size for the study.
A researcher’s prior assumptions are intrinsic to sample design (Uprichard, 2013).
A priori power analysis by the researcher is necessary to ensure that Type 2 errors do not
affect statistical results interpretation (Wester et al., 2013). As shown in Figure 5, for the
a priori power analysis, I assumed a medium effect size (f 2 = 0.15) and alpha = 0.05 to
derive a minimum participant sample size of 92 with a power of 0.80. Increasing the
sample size to 138 will increase power to 0.95 (see Figure 5). Therefore, I sought to
achieve between 92 and 138 participant responses for the study using a proportional
stratified sample of corporate business sectors.
size = 0.15.
Effect size indicators are descriptive statistics that estimate relationship
magnitudes (Brooks, Dalal, & Nolan, 2014). The ratio of explained variance and error
variance (f 2) serves as the effect size measure for regression analysis (Faul et al., 2009;
Wester et al., 2013). The hypothesized medium effect size (f 2 = 0.15) reflected the
analysis of a Yaokumah (2013) study where effectual ISG was the criterion measurement.
As presented in Table 3, the stratified sample formula I used to calculate the
proportion of potential participants from each group in this study was strata sample size =
(total sample size / total population size) x strata population size. Strata sample size was
the number of sampling units for the group. Total sample size was the entire sampling
unit sample size. Total population size was the entire sampling frame. Strata population
size was the sampling frame population for the group.
Table 3
Proportional Stratification of the 500 Largest United States Corporations
Business Sector Type Number of Firms Sample Frame Response Range
Aerospace & Defense 11 33 2 – 3
Apparel 5 15 1 – 1
Business Services 16 48 3 – 4
Chemicals 14 42 3 – 4
Energy 69 207 13 – 19
Engineering & Construction 11 33 2 – 3
Financials 75 225 14 – 21
Food and Drugs 8 24 1 – 2
Food, Beverages, & Tobacco 25 75 5 – 7
Healthcare 39 117 7 – 11
Hotels, Restaurants, & Leisure 12 36 2 – 3
Household Products 14 42 3 – 4
Industrials 14 42 3 – 4
Materials 19 57 3 – 5
Media 11 33 2 – 3
Motor Vehicles & Parts 14 42 3 – 4
Retailing 46 138 8 – 13
Technology 41 123 8 – 11
Telecommunications 11 33 2 – 3
Transportation 18 54 3 – 5
Wholesale 27 81 5 – 7
Total
500
1,500
92a – 138b
aMinimum participant sample size based on power analysis at 0.80. bMinimum participant
sample size based on power analysis at 0.95.
Ethical Research
As when performing other scholarly investigations, ISG researchers are vulnerable
to ethical concerns (Yaokumah, 2013). Researchers have acknowledged ethical matters
deserve consideration when designing an Internet-based survey because of the potential
influence on study quality (Chang & Vowles, 2013). These ethical concerns include
respect for human subjects, informed consent, privacy issues, respondent anonymity,
information confidentially, and data use preventing harm or suffering because of research
participation (Yaokumah, 2013). Resultantly, a series of actions occurred to administrate
ethical issues appropriately to minimize risks and safeguard research participants.
The informed consent process in this study involved two tasks. First, the potential
respondents received an e-mail seeking their participatory consent. The informed consent
letter included a statement that there are no foreseeable risks associated with participating
in this study and that completing the study might benefit organizational practices and
enable social change. The letter also contained information addressing the role of Walden
University’s IRB and the approval process of the IRB before collecting data. Walden
University’s approval number for this study is 10-24-16-0465090.
Second, voluntary participation consent occurred before full disclosure of the
survey details are made available to enrollees. The purpose of this process was to ensure
the respondents give prior approval to receive the survey and record the expressed
intention to participate in the study (Yaokumah, 2013). Sustaining well-informed
respondents during a research project can assist in avoiding ethical dilemmas (Ward &
Pond, 2015).
An ISG researcher might confront concerns regarding privacy, confidentiality, and
anonymity of participants (Chang & Vowles, 2013; Yaokumah, 2013). The solicitation of
respondents occurred through electronic mails. Under this circumstance, participant
privacy needed adequate protection using appropriate information security (Chang &
Vowles, 2013; Yaokumah, 2013). Precautions were taken to ensure participants’ data was
not made available to individuals external to the study. I also maintained an anonymity
standard throughout the study to ensure personally identifiable information that links the
participants to the study was not available to external parties. All generated data files
were fingerprint protected on the local computer and password protected on the server
that hosted the survey instrument.
Participants were logged out of the survey website automatically upon the
respondent’s successful instrument completion to maintain privacy and confidentiality. I
sought an embedded website security feature that causes the survey pages to expire after
5 inactivity minutes. When the page expired, or the session ended, user automatic
redirection occurred to the home page. A responding participant had the ability to relogin
and complete the survey.
Downloaded data collection files from the survey application will be
cryptographically stored on my personal computer for 5 years, commencing upon the
publication of my doctoral study. Deletion of the research data collected from participants
will occur after the 5-year retention period expires through data erasure software as well
as the destruction of the personal computer hard drive containing survey participant data.
During the interim, requests for a copy of the raw collected research data require a written
personal appeal.
Data Collection Instruments
The survey instruments for this study furnished a system to examine the
relationship between strategic alignment, resource management, risk management, value
delivery, performance measurement implementations as predictor variables, and ISG
effectiveness as the criterion variable. Raw collected data distribution using the
Yaokumah (2013) instruments requires a written appeal by the requestor. The Yaokumah
(2013) instruments formulated the survey for this study that included a defined scale to
measure strategic alignment, resource management, risk management, value delivery,
performance measurement implementations, and ISG effectiveness. The instruments for
this study received validation in a Yaokumah (2013) doctoral study. Reapplied data
collection instruments replicated validity scores when using different population and
sample data (Anderson, 2015).
Instrument Appropriateness
ISG is a program with structural relationships that include systems, processes,
activities, and tasks enabling a corporation to achieve enterprise-level objectives (R.
Davis, 2008). The ITGI (2008) suggested that effectual ISG practices were evident in
their framed domain outcomes. Effectual ISG practices should emanate from effectual
ITGI ISG domains that are measurable using the previously validated instrumentation
devised by Yaokumah (2013). The Yaokumah positivist instrumentation design best
addressed the doctoral study research question and associated constructs. The Yaokumah
survey instruments measure an effective information security program relationship with
effective deployment of ISG domains. Yaokumah used multiple measures from academic
and practitioner literature to build different ISG survey instrument sections to answer
research questions (see Table 4), yet disavowed copyright ownership.
Table 4
Selected Study Instrument Development Descriptions
Study Instrument Development
Strategic alignment Yaokumah constructed the research strategic alignment instrument
from the Australian Trusted Information Sharing Network
literature. The Australian Trusted Information Sharing Network is
a government established institution providing national engagement
mechanisms for critical infrastructure owners and operators (J.
Chen, Chen, Vertinsky, Yumagulova, & Park, 2013). Instrument
development occurred to measure the alignment level between ISG
with business objectives and ISG effectiveness (Yaokumah, 2013).
Value delivery
Yaokumah derived the research value delivery instrument from the
ITGI. The ITGI is an independent nonprofit research organization
that guides the global business community regarding information
and technology related issues (Yaokumah, 2013). Yaokumah
developed the value delivery metric to measure the level that
organizational ISG investments deliver business value.
ISG effectiveness
Yaokumah derived the ISG effectiveness instrument from practice
literature documented by Westby and Allen. Instrument
development occurred to measure the relationship between ISG risk
management, value delivery, resource management, performance
measurement implementations, and ISG effectiveness (Yaokumah,
2013).
General information,
Risk management,
Performance
measurement, and
Resource management
Yaokumah adapted the General Information, Risk Management,
Performance Measurement, and Resource Management instruments
documented by Educause and the Corporate Governance Task
Force. The Corporate Governance Task Force was organized to
develop ISG frameworks, promote ISG practices at the strategic
management level, and drive the deployment of effectual
information security programs (Yaokumah, 2013). Educause was
formed to advance higher education through IT use (Yaokumah,
2013). Educause and the Corporate Governance Task Force
extracted survey items from the ISO/IEC 17799 and the Federal
Information Security Management Act (Yaokumah, 2013).
Instrument for ISG Study
Published psychometric information was not available for the original instruments
from which Yaokumah (2013) derived the study measures. Given the lack of published
psychometric information, reliability and validity of the measurement instruments used to
collect participant data were pivotal academic concerns, particularly when the researcher
sought to test relationships among constructs (Yaokumah, 2013). Consequently, the
researcher conducted field and pilot tests to establish instrument validity and reliability
(Yaokumah, 2013). Upon instrument acceptance, Yaokumah (2013) assessed ISG
implementations among major Ghanaian industry classifications with the intent of
identifying the focus areas that required improvement. Yaokumah surveyed 360
individuals within 112 Ghanaian organizations for evaluating the status of ISG
deployments. Subsequently, ProQuest published the combined study instruments with
participant responses during 2013. Table 5 shows the survey items and measurement
scales used by the Yaokumah (2013) instrument.
Table 5
Survey Scales for the ISG Research Items and Measurement
Survey section Survey item Measurement scale
General information
1.1 – 1.3
Nominal and interval
Effectual ISG
2.1 – 2.6
Interval
Strategic alignment
3.1 – 3.13
Interval
Value delivery
4.1 – 4.5
Interval
Risk management 5.1 – 5.9 Interval
Performance measurement
6.1 – 6.4
Interval
Resource management
7.1 – 7.19
Interval
Nominal and interval data was the classification for the general information scale
survey items (Yaokumah, 2013). The scale was X - response. The scale reflects industry
sector, job title, and the number of years of experience (Yaokumah, 2013). Industry
sector was the participant’s perceived business sector type from a nominal business sector
list (Yaokumah, 2013) with 21 options. The job title was the participant’s employment
category from a nominal work classification list (Yaokumah, 2013) with seven options.
The number of years of experience was the participant’s stated work familiarity interval
in 5-year increments starting at 1 (Yaokumah, 2013).
Interval data was the classification for all the effectual ISG scale survey items
(Yaokumah, 2013). The 5-point Likert-like scale was as follows: 1 - SD, 2 - D, 3 - NS, 4 -
A, and 5 - SA (Yaokumah, 2013). SD was a level at which the respondent strongly
disagrees with the parameters mentioned in the item without any cognitive reservation. D
was a level at which the respondent does not agree with the parameters described in the
item, yet there was a cognitive reservation element. NS was a level at which the
respondent takes a neutral stand between agreement and disagreement with the
parameters mentioned in the item. A was a level at which the respondent agrees with the
parameters referred to in the item, yet there was a cognitive reservation element. SA was
a level at which the respondent strongly agrees with the parameters described in the item
without any cognitive reservation.
Interval data was the classification for all the strategic alignment, resource
management, risk management, value delivery, and performance measurement
implementation scale survey items (Yaokumah, 2013). The 5-point Likert-like scale was
as follows: 1 - NS, 2 - PS, 3 - PI, 4 - CC, and 5 - FI (Yaokumah, 2013). NS was the level
at which the respondent perceived no deployment of the mentioned parameters. PS was
the level at which the respondent perceived the parameters mentioned were in the
planning stage and not deployed. PI was the level at which the respondent perceived the
partial deployment of the specified parameters. CC was the level at which the respondent
perceived the parameters mentioned were close to complete implementation. FI was the
level at which the respondent perceived the full deployment of the specified parameters.
Validity and reliability. Researchers consider field test and pilot test appropriate
for ensuring study validity and reliability (K. Guo & Yuan, 2012; Yaokumah, 2013,
2014; Yaokumah & Brown, 2014). The Yaokumah (2013) field test and pilot test
provided information for determining instrument validity and reliability. The field test
and pilot test aided Yaokumah in improving participant survey items. The field test and
pilot test also enhanced participant instructional understanding (Yaokumah, 2013).
Moreover, the field test assisted the researcher in determining whether the instrument
measured the criterion construct and whether the researcher collected scores related to
external standards (Yaokumah, 2013). In reducing bias, reliability and validity are
significant issues for researchers (Christ, 2013).
Validity. Validity is a significant issue in reducing error sources. From a
theoretical positivist perspective, the Yaokumah (2013) research focused on achieving
validity. Validity referred to the amount of systematic or inherent errors in measurement
(Yaokumah, 2013). Validity establishment in the Yaokumah (2013) dissertation occurred
by conducting a field test using a panel of experts. Yaokumah e-mailed draft survey
instruments with the research purpose to five panelists: two security practitioners and
three senior academic faculty members who had significant experience with ISG issues.
The selected experts assessed the instrument on content validity, construct
validity, criterion validity, and face validity (Yaokumah, 2013). The researcher charged
the panel with addressing whether the survey items adequately measure ISG
effectiveness, represented subject matter content, and appropriateness for the population
as well as selected sample (Yaokumah, 2013). The panel was required to assess
instrumentation comprehensiveness for collecting all the needed information addressing
the researcher’s purpose and goals, understandability, and respondent ability to complete
the survey items (Yaokumah, 2013).
Yaokumah (2013) assessed instrumentation intercorrelation for two construct
variables defined as outcome realizations from effective ISG domain practices: value
delivery and risk management. Moreover, Yaokumah assessed instrumentation
intercorrelation of strategic alignment and four construct variables defined as domain
practices. As shown in Table 6, Yaokumah’s resulting intercorrelation coefficients of the
measured variables were above 0.80 and considered acceptable by the expert panel.
Table 6
Yaokumah Reported Variable Intercorrelations
Variable 1 2 3 4 5
1. Strategic alignment
.847
.915
.849
.864
2. Value delivery
3. Risk management
4. Performance measurement
.864
.890
5. Resource management
.859
.922
Expert panel feedback resulted in revisions to the survey instruments (Yaokumah,
2013). The expert panel suggested, and Yaokumah (2013) implemented a reduction from
twelve to six items and re-wording the ISG effectiveness (criterion variable) instrument
subsection (Yaokumah, 2013). The reduction was a result of similarities and repetitions
identified among the items (Yaokumah, 2013). Amendments also occurred on the
demographic data resulting in modifying Banking Institutions to Financial Institutions,
Other Options to Other, and Public Utility Company to Public Utility Company (Water,
Electricity, Telecommunications; Yaokumah, 2013). The researcher expanded Business
Manager to Business Manager / IT Strategic Committee Member and revised the IT
Specialist category (Yaokumah, 2013). The scale on ISG effectiveness constructs was
reworded and changed from Neutral to Not Sure (Yaokumah, 2013).
Reliability testing. Pilot testing occurred to establish the reliability of the
Yaokumah (2013) measurement instruments. The pilot test sought to determine whether
the instruments consistently measured the intended measurement items (Yaokumah,
2013). For the pilot testing, the researcher sent an instrumentation Internet link to 20
participants selected from the sample frame (Yaokumah, 2013). The investigator’s pilot
testing intent was to appraise the adequacy of Internet-based survey items under
simulation conditions to ascertain the completion time and whether the technology-based
instrumentation worked correctly (Yaokumah, 2013). As shown in Table 7, the resulting
reliability coefficients of the measured variables were above 0.70 and considered
acceptable by the researcher (Yaokumah, 2013).
Table 7
Yaokumah Instrument Construct Variable Reliabilities
Construct Cronbach’s alpha
Strategic alignment
.972
Value delivery
.920
Risk management
.951
Performance measurement .979
Resource management
.975
ISG effectiveness
.870
General information. General information collection for the ISG study occurred
using three replicated items from the Yaokumah (2013) instrument pertinent to
respondent demographics (see Appendix D). The items were industry sector, job title, and
the number of years of experience (Yaokumah, 2013). The measurement scales for
industry type, and job title was nominal, and the number of years of experience was
interval, with all items having a single response option (Yaokumah, 2013). The industry
type item assisted in assessing the number of years of experience (Yaokumah, 2013).
These demographic variables measurement occurred by summing participant responses
for each survey item within the instrument subsection (Yaokumah, 2013).
Effectual ISG. I measured effectual ISG using six replicated items from the
Yaokumah (2013) instrument (see Appendix D). The measurement scale for ISG
effectiveness was interval with multiple response options (Yaokumah, 2013). Item one
measured the deployment level of the governing board’s agenda engagement. Item two
measured the level deployed security actions reflect a comprehensive risk assessment and
established risk tolerances. Item three measured the deployment level of a
crossorganizational security management team. Item four measured the deployment level
of digital assets inventory and categorization performance. Item five measured the
deployment level of active security policy monitoring and enforcement as well as
manager-leader accountability. Item six measured the deployment level of security
program review, audit, and continuous improvement processes.
Strategic alignment. I measured strategic alignment using 13 replicated items
from the Yaokumah (2013) instrument (see Appendix D). The measurement scale for
strategic alignment was interval with multiple response options (Yaokumah, 2013). The
Yaokumah instrument focused on the organization’s input from stakeholders, enterprise
mission support, achievement, training and awareness programs, investment allocation, as
well as intellectual property accounting and protection. Participants also responded to
organizational security planning (two items), enterprise information security
responsibility, project development, policies and standards, administrative support, and
security compliance items.
Value delivery. I measured value delivery using five replicated items from the
Yaokumah (2013) instrument (see Appendix D). The measurement scale for value
delivery was interval with multiple response options (Yaokumah, 2013). Participants
graded the implementation of policy analysis, risk analyses and risk assessments, third
party contracts, corporate policies compliance, and business decision consideration.
Risk management. I measured risk management using nine replicated items from
the Yaokumah (2013) instrument (see Appendix D). The measurement scale for risk
management was interval with multiple response options (Yaokumah, 2013). Participants
rated the implementation of information security and privacy program documentation,
risk assessment frequency, critical assets, vulnerabilities, and threats identification; as
well as loss cost allocation. Participants additionally assessed the implementation of
disruptive business strategies (two items), strategy review and update frequency, and state
legislation or regulation monitoring as well as applicability determination.
Performance measurement. I measured performance using four replicated items
from the Yaokumah (2013) instrument (see Appendix D). The measurement scale for
performance measurement was interval with multiple response options (Yaokumah,
2013). Participants gauged the implementation of periodic information security program
testing and evaluation, periodic independent audits, and business unit compliance audits.
Resource management. I measured resource management using 19 replicated
items from the Yaokumah (2013) instrument (see Appendix D). The measurement scale
for resource management was interval with multiple response options (Yaokumah, 2013).
Participants assessed the deployment level of information security responsibilities (four
items), qualifications and experience requirements, authority and resources, information
security staff training; as well as engagement with other critical functions. The
participants evaluated the deployment level of reporting lines, accountability, compliance
programs, stakeholder education and awareness program, and information security
architecture (three items). Participants also appraised the deployment of
preimplementation system evaluations, noncompliance change management, information
asset categorization, and configuration setting documentation.
Instrument Administration
ISG instrument administration requires performing four administrative activities.
First, the researcher seeks approval from the doctoral study review committee and IRB to
use the study instrument. Second, the researcher prenotifies participants and seeks
consent. Third, the researcher sends a Web link to participants (Yaokumah, 2013).
Fourth, the researcher re-contacts participants with an appeal to complete the survey.
Upon receiving doctoral study review committee and IRB approval, I sent a
prenotification e-mail message to all selected participants--informing selection to take
part in the study and seeking their willingness to participate. Participants who did not
want contact e-mail address use for additional correspondence had the option to forward
an alternative e-mail address to my Walden University inbox. After a week, I sent the
web link to the actual survey site to the participants’ e-mail application inbox.
Participants had 2 weeks to complete the requested survey responses before I sent first
and second reminder e-mails.
For the informed consent, two options were available; one to accept and the other
to decline research participation. When the participants clicked the web link contained in
the forwarded e-mail, acknowledgment of informed consent occurred. Participants who
agreed to respond to the survey items received a unique access code embedded in the web
link when they clicked on the application. When the participants clicked the web link
contained in the forwarded e-mail, they connected to the website hosting the ISG research
survey items. The survey website presented the survey questions in a random order.
Respondents were able to complete the research survey item on each web page. If
a respondent decided to skip a survey question or item, the computer application allowed
the respondent to proceed to the next survey page. Once the participant completed the
ISG survey, the application displayed a message thanking the respondent and
automatically logged out the respondent.
Given a low response rate, I extended the data collection period. As a follow-up
procedure, two researcher reminder notifications were sent to all selected participants
with a personalized appeal and thank you note to those who already completed the survey
based on the prior participation request. If I achieved the minimum sample power after
the third week, website blockage was planned, and the participants would be unable to
access the survey documents. Subsequently, I downloaded the collected participant
responses to my personal computer.
Data Collection Technique
A positivistic survey is point-in-time data snapshots that allow the researcher to
make relationship inferences using quantitative analytical techniques (Silic & Back,
2014). Internet-based survey use enables study participants to complete an online data
request through computer network access (Chang & Vowles, 2013; King, O’Rourke, &
DeLongis, 2014). Adoption of this data collection strategy assumes the target participants
will comprise very active and knowledgeable top management team members
(Yaokumah, 2013). Respondent data collection enables a researcher to acquire an
understanding of the perceived recent state of corporate ISG realization and provide
answers to the ISG research question. Supporting the selected research technique,
previous ISG related studies reported using Internet-based survey data collection methods
(e.g., K. Guo & Yuan, 2012; Hu et al., 2012; Yaokumah, 2014; Yaokumah & Brown,
2014). However, Internet-based surveys have unique advantages and disadvantages
related to technology characteristics (Chang & Vowles, 2013; Weigold, Weigold, &
Russell, 2013).
Data Collection Technique Advantages
Cross-national research can be less complicated when employing the Internet and
social media (King et al., 2014). King et al. (2014) contended that in combination, using
their suggested online data collection strategies can furnish advantages to social scientists
when conducting survey research. For this ISG national study, using an Internet-based
survey technique provided time efficiency and flexibility, interactivity without
interviewer bias, unrestricted geographic coverage, sensitive subject matter desensitizing,
and careless response identification.
Time efficiency and flexibility. Internet-based surveys can occur quickly and
efficiently assuming sufficient server capacity, acceptable network traffic, as well as
continuous connectivity (Chang & Vowles, 2013). Researchers revealed online survey
response returns can occur within two days (Chang & Vowles, 2013). Researchers have
also indicated the Internet provides more flexibility with how survey response
presentation occurs (Weigold et al., 2013). On the other hand, respondents can complete
an Internet-based survey at nonimmediate pace and at a convenient time (Chang &
Vowles, 2013).
Interactivity without interviewer bias. When performing a quantitative study,
Internet-based survey application ease of use can limit dialogue between researchers and
participants (King et al., 2014). Specifically, Internet-based surveys enable greater
variation in item design without additional researcher involvement (Chang & Vowles,
2013) through application configuration. A well-designed study website conveys
professionalism and credibility that can further facilitate data collection (King et al.,
2014). Thus, Internet-based survey item design typically offers researchers the option to
eliminate or reduce respondent error sources (Roster et al., 2014; Ward & Pond, 2015).
Unrestricted geographic coverage. IT networks enable research respondents to
contact participants in any corner of the world as long as there is Internet accessibility
(Chang & Vowles, 2013; King et al., 2014; Weigold et al., 2013). An Internet-based
survey advantage is the ability to reduce geographic boundary challenges (Chang &
Vowles, 2013). With cross-national research populations, an Internet-based survey may
be one of the most effective means of study data collection (King et al., 2014).
Sensitive subject matter desensitizing. Respondents can view survey items as
sensitive if considered intrusive, if the questions raise fears about information disclosure
repercussions, or if inquiries trigger social desirability issues (Roster et al., 2014). Topic
sensitivity can vary widely across cultures and countries (Roster et al., 2014). Sensitive
subject matter desensitizing can occur because stronger potential anonymity may permit
less embarrassment in answering certain confidential questions or feeling more
comfortable discussing controversial topics (Chang & Vowles, 2013; Roster et al., 2014).
Accordingly, Internet-based surveys can enhance the reporting level of sensitive
information and achieve reporting accuracy above other modes of data collection (Roster
et al., 2014).
Careless response identification. The ease and utility of online data collection
continue to improve in step with IT innovations (King et al., 2014). Another potential
advantage of Internet-based data collection is the ability to determine how long each
participant took to complete study instrumentation (King et al., 2014). This feature allows
the researcher to identify participants who race through the survey items without reading
the inquiry item response request (King et al., 2014). Resultantly, a researcher can
indicate and exclude unacceptable responses to reduce measurement error (Chang &
Vowles, 2013; King et al., 2014).
Data Collection Technique Disadvantages
Researchers have suggested that few differences exist between data acquired
online and traditional self-report collection methods (King et al., 2014). However, online
data collection presents challenges requiring appropriate researcher responses. For this
ISG study, using the Internet-based survey technique had possible shortcomings that
included access constraints, truthfulness issues, legal and ethical issues, selection bias,
and inadequate response rates.
Access constraints. Survey design choices affect research quality or quantity data
indices (Chang & Vowles, 2013). An online survey design was best for respondents who
had easy access to the Internet and felt comfortable sharing information using technology
(Chang & Vowles, 2013). Online survey restrictions can occur because the population
may lack adequate physical or mental Internet access capability (Chang & Vowles, 2013;
King et al., 2014).
Truthfulness issues. True respondent sentiments may be inaccurately recorded in
Internet-based survey items (Roster et al., 2014; Ward & Pond, 2015). Truthfulness issues
can arise because of intentional or unintentional careless responses that are difficult to
detect (Chang & Vowles, 2013). Researchers have suggested that meticulously
constructed Internet-based survey instructions may affect respondent attentiveness (Ward
& Pond, 2015).
Legal and ethical issues. Legal and ethical issues can occur when survey data are
stored online and managed by third party providers (Chang & Vowles, 2013). Under third
party provider use, the researcher cannot provide complete confidentiality, anonymity,
privacy, and security (Chang & Vowles, 2013). Accordingly, the researcher must impart
enhanced informed consent and potential deception care with Internet-based surveys
(Chang & Vowles, 2013).
Selection bias. Though very similar individuals or groups should comprise a
human subject study, population bias is an inherent issue with Internet surveys because
frequent users are likely very different from infrequent users or nonusers (Chang &
Vowles, 2013). Internet-based survey selection bias can occur using the same respondents
for both predictor variables and criterion variable that may also generate common
methods bias (CMB; N. Wang et al., 2012). As a subcategory of selection bias, sampling
bias may occur because some potential respondents might not be reachable via the
Internet (Chang & Vowles, 2013).
Inadequate response rates. Concerns about various issues associated with
Internet use can generate a higher number of nonresponses to the survey instruments
(Chang & Vowles, 2013). The survey response rate may be low as a result of the sensitive
nature of an ISG study (Yaokumah, 2013). Organizational manager-leaders are frequently
unwilling to participate in information security research due to the perceived disclosure
risks regarding system vulnerabilities and critical data (Barton, 2014). Previous survey-
based research evidence suggested that when collecting data of a sensitive nature, the
researcher should expect a very low response rate (Flores et al.,
2014).
Data Analysis
The purpose of data analysis was summarizing collected data for easier
comprehension and furnishing answers to the research question (Yaokumah, 2013, 2014).
The research question was this: What is the relationship between strategic alignment,
resource management, risk management, value delivery, performance measurement
implementations, and ISG effectiveness in United States-based corporations? The null
hypothesis was strategic alignment, resource management, risk management, value
delivery, performance measurement implementations are not significantly related to ISG
effectiveness. The alternative hypothesis was strategic alignment, resource management,
risk management, value delivery, performance measurement implementations are
significantly related to ISG effectiveness.
The choice of statistical techniques depends on the underlying functions,
assumptions, and data types of variables under study (Yaokumah, 2013). A researcher
employs more than one predictor variable when performing multiple linear regression
(MLR; Bhattacherjee, 2012; Green & Salkind, 2014). MLR enables researchers to answer
questions concerning the effect multiple predictor variables have on the variance in a
single criterion variable (Anderson, 2015; Barrett, 2016; Nathans, Oswald, & Nimon,
2012; Yaokumah, 2013). For my ISG study, there was a priori expectation that a
simultaneous multiple regression analysis would occur because Walden University
(2014) requires, at least, two predictor variables when employing a quantitative research
method in a doctoral study. I used MLR to analyze the data. MLR was employed to
establish the extent ISG domain practices relate to effectual ISG. MLR was the omnibus
analysis in this ISG study.
Regression analysis is the process of estimating regression coefficients
(Bhattacherjee, 2012). With regression analysis (also known as least squares analysis),
explanations of criterion variable attributes occur regarding one or more predictor
variables. Regression analysis determines functional relationships between quantitative
variables (Bhattacherjee, 2012). Regression analysis permits finding trend lines and
developing models based on the calculated association of variables. Regression analysis
extends subject correspondence seeking to find a linear relationship equation among
selected variables (Green & Salkind, 2014). Standard multiple regression permits the
researcher to evaluate the relationships between a predictor variable set and a criterion
variable (Yaokumah, 2013).
I considered other regression techniques such as hierarchical and stepwise
regression. Hierarchical regression enables researcher examination of the relationships
between a predictor variable set and a criterion variable, after controlling for the effects
of some other predictor variables on the criterion variable (Barrett, 2016). Stepwise
regression permits the researcher performing an exploratory investigation to identify the
predictor variable subset that has the strongest relationship to a criterion variable (Barrett,
2016; Cowley et al., 2015). This ISG doctoral study did not include any controlling
predictor variables that justified using hierarchal regression analysis. Moreover, given
this ISG doctoral study was not exploratory, and scholarly evidence was available
regarding the utility and importance of each predictor variable, using stepwise regression
analysis was inappropriate.
Data Cleaning and Screening
Researcher data cleaning is an error detection and correction process for collected
data (Smith, 2016). Data cleaning assist the researcher in preparing collected
Internetbased survey responses for analysis (Ward & Pond, 2015). A researcher should
also perform data screening to reduce the negative effect of missing data on any
subsequent analysis (Badara & Saidin, 2014). The informed consent form for this study
stated participants’ individual identities would remain confidential, and I would not
collect any names or other identifying information during the survey. Researchers can use
deidentification procedures to omit personal identifiers (Bailey, 2016) linked to study
participant supplied information. Given the ethical responsibilities concerning anonymity
and confidentiality (Brakewood & Poldrack, 2013; NCPHS, 1979; Yaokumah, 2013), I
omitted data that identified the participants and the represented corporations from the
study.
In preventing harm or suffering because of research participation, participants had
no requirement to answer survey questions before continuing to the next stages of the
study (Nosek et al., 2012). The one-at-a-time condition existed for presenting survey
instrument items to minimize the likelihood participants would choose not to convey
perceptions (Nosek et al., 2012). If a respondent decided to skip a survey question or
item, the computer application allowed the respondent to proceed to the next survey page.
Consequently, after survey research dataset transfer to a personal computer, a response
review occurred to determine whether any requested data is missing. This ISG study
necessitated a data review because researchers reported that Internet-based surveys have a
higher missing data rate than paper and pencil surveys (Weigold et al., 2013). Once
completed, I commenced goodness-of-fit data analysis.
MLR assumptions are linearity, independence of observations, constant variance,
and normality (Green & Salkind, 2014). Scatterplots, partial regression plots, and
probability-probability plots are descriptive statistics that confirm whether collected data
violated statistical assumptions associated with the investigator’s MLR research tools
(Yaokumah, 2013). I examined the assumptions underlying MLR through computing
descriptive statistics. If assumption violations occurred during my study, additional data
analysis procedures were necessary for the planned data analysis. Assumption violation
remediation encompassed using bootstrapping procedures.
Interpretation of Inferential Results
I reported suitable bootstrap 95% confidence intervals where appropriate.
Statistical Package for the Social Sciences (SPSS) version 21 served as the data analysis
tool in this ISG study. SPSS output yields various statistics requiring interpretation for
this study. The research specific parameters to interpret were (a) R2, (b) F, (c) Β, (d) SE B,
(e) β, (f) Sig. (p), and (g) t.
•R2: is a measure of how much variance in the criterion variable occurs
through the linear combination of predictor variables (Fritz, Morris, &
Richler, 2012; Green & Salkind, 2014; Nathans et al., 2012). R2 can range
from 0 to 1, where higher values represent more variance (Green & Salkind,
2014). For example,
an R2 value of 0.17 means the predictor variables account for 17% of the
variance in the criterion variable.
•F: is the mean regression sum of squares divided by the mean error sum of
squares (Green & Salkind, 2014). An F value can range from 0 to a relatively
large number, where unequal means imply the population has an abnormal
distribution (Shaffer, Kowalchuk, & Keselman, 2013). For instance, a
relatively large F value can indicate rejection of the null hypothesis when
combined with a significant p-value in deciding if the overall results are
significant.
•Β: is the coefficient weight associated with the regression equation (Green &
Salkind, 2014; Nathans et al., 2012) generated by subtracting the mean and
dividing by the standard deviation. However, unstandardized B coefficients
are not useful for comprehending the relative importance of the predictor
variables (Green & Salkind, 2014). Β coefficient standardization occurs so
that the predictor and criterion variables have a mean of 0 and standard
deviation of 1 (Green & Salkind, 2014). The standardized Β coefficient
represents the change in response to a change of 1 standard deviation in a
predictor variable (Nathans et al., 2012). For example, a statistically
significant Β coefficient of 0.90 means each unit increase in the predictor
variable will correspond to a 0.90 unit criterion variable increase.
•SE B: is the standard error (i.e. the square root of the estimated variance)
weight associated with the regression equation (Green & Salkind, 2014). The
SE B coefficient is positive, where a small value represents a more precise
estimate (Bhattacherjee, 2012). For instance, if the standard error of variable
“A” coefficient is lower than that of variable “B”, the model was able to
estimate the coefficient for “A” with greater precision.
•β: is a numerical constant defining a functional relationship in the population
(Green & Salkind, 2014). βs can range from a negative to a positive number,
where the computed value reflect the actual criterion variable scores
maximally correlated with the predicted criterion variable scores for the
sample data (Green & Salkind, 2014). Resultantly, good prediction criterion
variable scores will tend to equal actual criterion variable scores.
•Sig. (p): is the probability value for the significance level of the tested
hypothesis dependent on the sample size (Lin, Lucas Jr, & Shmueli, 2013).
Sig. (p) can range from 0 to 1, where the value is less than or equal to the
chosen α the results indicate substantial evidence against null hypothesis
acceptance (Lin et al., 2013; Rao, 2012). For instance, if the SPSS calculated
MLR results in a Sig. (p) at the 0.02 level and α = 0.05, there is sufficient
evidence against null hypothesis acceptance.
•t - t is a measure of the difference between an observed sample statistic and
the hypothesized population parameter in standard error units (Bhattacherjee,
2012; Green & Salkind, 2014). The t value can range from a negative to a
positive number, where a nonzero result indicates sample variance (Green &
Salkind, 2014). For example, if the p-value associated with the t value is less than the
α-level with an imbalance between the observed sample statistic and the hypothesized
population parameter, there is sufficient evidence against null hypothesis acceptance.
Study Validity
A researcher’s method choice affects the validity and generalizability of the
investigated phenomenon (Wahyuni, 2012). In the following study validity subsections, I
explain my procedures for ensuring statistical conclusion validity and quantitative
research generalizability. I describe the threats to statistical conclusion validity as well as
how I addressed the threats to statistical conclusion validity. I also discuss the conditions
enabling the generalizability of research findings to larger populations and settings.
Statistical Conclusion Validity
Statistical conclusion validity reflects assessing the mathematical relationships
between variables, and making inferences regarding whether the statistical formulation
correctly expresses the true covariation (Venkatesh et al., 2013). Statistical conclusion
validity addressed statistical evidence of covariation quality for this ISG study. Statistical
conclusion validity necessitates that the statistics are appropriate, and findings from the
statistical analysis are adequate to construct a narrative (Zachariadis et al., 2013). Threats
to study validity are a significant issue because they can reduce collected data
representativeness (Christ, 2013; R. Davis, 2008). Sample size, reliability of the
instrument, and data assumption violations were threats to statistical conclusion validity.
Sample size. Given an effect size and variability, the researcher’s sample size
estimate represents the required subject number to detect a variable association (Rao,
2012). I used the stratified sampling technique for generating a corporate sector sample
frame and random sampling techniques to select sample participants from the
organizations within the corporate sectors. The purpose of choosing these sampling
methods was to attain sample representativeness and adequacy within the selected
population. I assumed adequate sample size obtainment if the acceptable a priori power
range response rate occurred. A random sample response rate of 92 manager-leaders was
necessary to achieve a minimum power of 0.80.
Researchers should consider error evaluations when performing statistical testing
(Gelman & Carlin, 2014). Regarding error sources, there is the risk that the sample
indicates incorrect test hypothesis rejection (Rao, 2012). Sample size influences p-value
(Lin et al., 2013; Salibian-Barrera, Aelst, & Yohai, 2016). A Type 1 error is a frequent
violation of statistical conclusion validity. I reduced the Type 1 error risk threat by
performing a methodical hypothesis examination. Specifically, I controlled potential
Type 1 errors by requiring a p-value of less than 0.05. I also performed MLR assumptions
examination to address potential error source threats that affect statistical conclusion
validity. Selecting an appropriate sample size based on a power analysis was an attempt
to combat the sample size threat.
Data assumptions. Assumptions surrounding linear regression are sample size,
multicollinearity, outliers, normality, linearity, homoscedasticity, and independence of
residuals (Green & Salkind, 2014; Wiedermann & Eye, 2015). For MLR, I addressed
statistical assumptions concerning the multivariate independence of observations,
homoscedasticity, normality, and linearity through attempting to acquire a medium
population, random sample frame selection, and descriptive statistics examination. I
generated and examined scatterplots and probability-probability plots using SPSS to
confirm whether the collected data violated the statistical assumptions. Where these
assumption violations occurred, I intended to address the assumption violations using
bootstrapping procedures.
In determining if multicollinearity exists through a technique congruent with
previous research (i.e. Ferguson, Green, Vaswani, & Wu, 2013; Lin et al., 2013), I
computed correlation coefficients for all pairs of predictor variables. Researchers
typically consider multicollinearity a serious problem if the correlation between two
variables is greater than 0.80 (D'Arcy & Greene, 2014). If an assumption violation
occurred, I was prepared to remove one of the variables from the model in response to a
multicollinearity condition above 0.90. Removing a predictor variable from a model may
lead to specification bias (Zainodin & Yap, 2013).
Reliability of the instrument. I used the data collected from the sample
respondents to evaluate the reliability coefficient (i.e. Cronbach’s α). Moreover, I
compared my computed reliability coefficients to the reported Yaokumah (2013)
reliability coefficients in the Data Collection Instruments section. The reliability
coefficient ranges from 0 to 1, where 0 represents a low internal consistency and 1
represents a high internal consistency for the research instrument (Green & Salkind,
2014; Yaokumah, 2013, 2014; Yaokumah & Brown, 2014). Higher internal consistency
imparts better procedure measurement properties if the research measures do not diverge
in the propensity to generate systematic responding (Nosek et al., 2012). The acceptable
reliability coefficients of measured variables are values > 0.70 (Chang & Vowles, 2013;
Roster et al., 2014; Yaokumah, 2013).
Generalizability
Quantitative research generalizability is time and context-free applicability of
investigator results presented in abstracted or nomothetic statements (Yilmaz, 2013).
External validity addresses the degree that the research results generalize (Zachariadis et
al., 2013) to larger populations (Wahyuni, 2012) and settings (Venkatesh et al., 2013).
External statistical generalization stems from acquiring a representative statistical sample
(Frels & Onwuegbuzie, 2013). In this study, the targeted population consisted of strategic
and tactical leaders of the 500 largest for-profit United States headquartered corporations.
I used the stratified sampling technique for generating a corporate sector sample frame
and random sampling techniques to select sample participants from the organizations
within the corporate sectors. The purpose of choosing these sampling methods was to
attain sample representativeness and adequacy within the selected population.
Transition and Summary
With cyber attackers targeting large corporations achieving a 93% success rate
during 2013 (Brewer, 2014), IT leaders needed to improve ISG practices (Silic & Back,
2014). Grounded in corporate governance theory, the purpose of this quantitative
correlational study was to examine the relationship between strategic alignment, resource
management, risk management, value delivery, performance measurement
implementations, and ISG effectiveness in United States-based corporations. I sought to
collect survey data from a minimum of 92 strategic and tactical leaders of the 500 largest
for-profit United States headquartered corporations.
Simultaneously, I employed MLR techniques, using SPSS version 21, to assess
the relationship between the predictors and criterion variable. The implications for
positive social change include the potential to understand the correlates of ISG
effectiveness better, thus increasing the propensity for consumer trust and reducing
consumers’ costs. In Section 3, I cover the presentation of research outcomes, the
business and social implications of the study, recommendation for action,
recommendations for further research, my reflections, as well as a summary and study
conclusions.
Section 3: Application to Professional Practice and Implications for Change
Introduction
The purpose of this quantitative correlational study was to examine the
relationship between strategic alignment, resource management, risk management, value
delivery, performance measurement implementations, and ISG effectiveness in United
States-based corporations. I deployed a 59-item survey instrument to collect research data
for correlation and regression analysis. Based on the outcomes of the proportional
stratification data collection procedures (one valid response), I was unable to reject the
null hypothesis. Thus, I could not indicate the relationship between implementations of
strategic alignment, resource management, risk management, value delivery, performance
measurement, and ISG effectiveness in United States-based corporations based on test
results.
I recruited additional participants using nonprobability sampling procedures to
satisfy Walden University data collection and analysis requirements. Nonprobability
sampling affects the researcher support for knowledge assertions (Cheng, Dimoka, &
Pavlou, 2016). Nonetheless, I subsequently performed pattern recognition and MLR
analysis to test the relationship between strategic alignment, resource management, risk
management, value delivery, performance measurement implementations, and ISG
effectiveness. The predictor variables were strategic alignment, resource management,
risk management, value delivery, and performance measurement implementations. ISG
effectiveness was the criterion variable. Based on the outcomes of performed procedures,
I rejected the null hypothesis. Test results indicated that strategic alignment, resource
management, risk management, value delivery, and performance measurement
implementations were significant predictors of ISG effectiveness in United States-based
corporations.
Presentation of the Findings
MLR was employed to assess the relationship between strategic alignment,
resource management, risk management, value delivery, performance measurement
implementations, and ISG effectiveness in United States-based corporations. The null
hypothesis was that strategic alignment, resource management, risk management, value
delivery, and performance measurement implementations would not predict ISG
effectiveness. The alternative hypothesis was that strategic alignment, resource
management, risk management, value delivery, and performance measurement
implementations would predict ISG effectiveness.
Descriptive Statistics
I requested and received permission to recruit additional sample frame participants
from the Walden University IRB. The third survey response for this ISG study yielded 95
eligible participants. Table 8 depicts the means and standard deviations for the study
variables.
Table 8
Mean and Standard Deviation for Study Variables (N = 95)
Variable M SD Bootstrapped
95% CI (M)
ISG Effectiveness 3.22 0.54 [3.10, 3.32]
Strategic Alignment 3.05 0.48 [2.96, 3.15]
Value Delivery 2.99 0.71 [2.84, 3.14]
Risk Management 3.07 0.49 [2.98, 3.16]
Performance Measurement 3.03 0.73 [2.89, 3.18]
Resource Management 3.05 0.40 [2.97, 3.13]
Note. M = mean and SD = standard deviation.
Tests of MLR Assumptions
The assumptions of multicollinearity, outliers, normality, linearity,
homoscedasticity, and independence of residuals were evaluated. Bootstrapping, using
2,000 samples, enabled combating the influence of assumption violations.
Multicollinearity. Multicollinearity was evaluated by viewing the correlation
coefficients among the predictor variables. All bivariate correlations were small to
medium (Table 9); therefore, the violation of the assumption of multicollinearity was not
evident.
Table 9
Intercorrelations Among ISG Model Predictor Variables (N = 95)
Variable 1 2 3 4 5
1. Strategic alignment
1.00
0.13
0.39
0.27
0.32
2. Value delivery
0.13
1.00
0.06
-0.04
0.22
3. Risk management
0.39
0.06
1.00
0.39
0.29
4. Performance measurement
0.27
-0.04
0.39
1.00
0.20
5. Resource management
0.32
0.22
0.29
0.20
1.00
Outliers, normality, linearity, homoscedasticity, and independence of
residuals. Outliers, normality, linearity, homoscedasticity, and independence of residuals
were evaluated by examining the normal probability plot (P-P) of the regression
standardized residual (Figure 6) and the scatterplot of the standardized residuals (Figure
7). The examinations indicated there were no major violations of these assumptions. The
tendency of the points to lie in a reasonably straight line (Figure 6), diagonal from the
bottom left to the top right, provides supportive evidence the assumption of normality has
not been grossly violated (Pallant, 2010). The lack of a clear or systematic pattern in the
scatterplot of the standardized residuals (Figure 7) supports the tenability of the
assumptions being met. However, 2,000 bootstrapping samples were computed to combat
any possible influence of assumption violations, and 95% confidence intervals based
upon the bootstrap samples are reported where appropriate.
Figure 6. Normal probability plot (P-P) of the regression standardized residuals.
Dependent variable: ISG Effectiveness.
Figure 7. Scatterplot of the standardized residuals.
Inferential Statistics
Standard MLR, α = .05 (two-tailed), was employed to examine the efficacy of
strategic alignment, resource management, risk management, value delivery, performance
measurement implementations in predicting ISG effectiveness. The predictor variables
were strategic alignment, resource management, risk management, value delivery, and
performance measurement. The criterion variable was ISG effectiveness. The null
hypothesis was that strategic alignment, resource management, risk management, value
delivery, performance measurement implementations are not significantly related to ISG
effectiveness. The alternative hypothesis was that strategic alignment, resource
management, risk management, value delivery, performance measurement
implementations are significantly related to ISG effectiveness. Preliminary analyses
occurred to assess whether I met the independence of observations, independence of
residuals, normality, linearity, homoscedasticity, multicollinearity, and outliers data
assumptions using the acquired proportionally stratified and modified convenience
sample. I noted no serious data assumption violations (see Tests of MLR Assumptions).
The model as a whole was able to significantly predict ISG effectiveness, F(5, 89)
= 3.08, p = 0.01, R² = 0.15. The R2 (0.15) value indicated that approximately 15% account
for variations in ISG effectiveness by the linear combination of the predictor variables
(strategic alignment, resource management, risk management, value delivery, and
performance measurement). In the final model, strategic alignment was statistically
significant (t = 2.401, p <= 0.018). Resource management, risk management, value
delivery, and performance measurement did not explain any significant variation in ISG
effectiveness. Table 10 depicts the regression summary table, which includes the
regression analysis values for resource management, value delivery, risk management,
and performance measurement in predicting ISG effectiveness. The final predictive
equation was as follows: ISG Effectiveness = 1.542 + 0.299(Strategic Alignment) +
0.052(Resource Management) + 0.035(Risk Management) + 0.053(Value Delivery) +
0.113(Performance Measurement).
Table 10
Regression Analysis Summary for ISG Predictor Variables (N = 95)
Variable Β SE Β β t p
Bootstrapped
95% CI (B)
Strategic
Alignment 0.299 0.124 0.265 2.401 0.018 [0.008, 0.571]
Resource
Management 0.052 0.145 0.038 0.358 0.721 [-0.230, 0.335]
Risk
Management 0.035 0.126 0.031 0.274 0.785 [-0.246, 0.319]
Value
Delivery 0.053 0.077 0.069 0.685 0.495 [-0.100, 0.211]
Performance
Measurement 0.113 0.800 0.152 1.410 0.162 [-0.027, 0.257]
Strategic alignment. The positive slope for strategic alignment (0.299), as an ISG
effectiveness predictor, indicated there was approximately a 0.299 increase in ISG
effectiveness for each 1-point increase in strategic alignment. In other words, ISG
effectiveness tends to increase as strategic alignment increases. The squared semipartial
coefficient that estimated how much variance in ISG effectiveness was uniquely
predictable from strategic alignment was 0.06, indicating that 6% of the variance in ISG
effectiveness is uniquely accounted for by strategic alignment, when controlling value
delivery, resource management, risk management, and performance measurement
constructs.
Analysis summary. The purpose of this study was to examine the efficacy of
strategic alignment, resource management, risk management, value delivery, and
performance measurement in predicting ISG effectiveness in United States-based
corporations. I conducted a standard MLR test. Despite the absence of any serious data
assumption violations surrounding the multiple regressions analysis, I undertook a
bootstrapping test using 2,000 resamples and a 95% confidence interval to combat any
potential statistical assumption violations.
I concluded from the performed analysis that the combined strategic alignment,
resource management, risk management, value delivery, and performance measurement
implementations were able to predict ISG effectiveness for United States-based
corporations, F(5, 89) = 3.08, p = 0.01, R² = 0.15. Further, strategic alignment, measured
by the Yaokumah (2013) instrument, was significantly associated with ISG effectiveness
for United States-based corporations. The final predictive equation was as follows: ISG
Effectiveness = 1.542 + 0.299(Strategic Alignment) + 0.052(Resource Management) +
0.035(Risk Management) + 0.053(Value Delivery) + 0.113(Performance Measurement).
Theoretical Framework and Relationships
Researchers use a theoretical framework to synthesize and integrate cogitations
when describing, explicating, or predicting a phenomenon under study, as well as guiding
an investigation (Imenda, 2014). Corporate governance theory is an appropriate
theoretical foundation to study ISG (Hu et al., 2012; Whitman & Mattord, 2012;
Yaokumah & Brown, 2014). The method used for this research included the foundational
governance theory capabilities in providing holistic corporate ISG practices. The chosen
theory was relevant in defining the constructs that helped evaluate ISG because corporate
governance propositions furnished an organizational view and understanding of the
phenomenon. Deriving constructs from a previously established and proven theory also
helped measure selection as well as furnished a valid and comprehensive phenomenon
understanding.
The results of my research confirmed the propositions of Yaokumah (2013) as
well as Yaokumah and Brown (2014), who considered corporate governance theory as
the most appropriate theoretical framework for the study of ISG processes. This study
supported the understanding that ISG effectiveness realization can occur through sound
corporate governance descriptive and explanatory theories. As for particulars, ISG
effectiveness realization may occur when management jointly deploys stakeholder,
agency, and resource-based theories. Stakeholder theory addresses the commitment to the
corporation’s stakeholders with the purpose of aligning perceived stakeholders’ interest
with corporate, business, and functional objectives for value delivery (Yaokumah, 2013).
Agency theory describes the responsibility, accountability, and authority of
managerleaders as agents who ensure performance through monitoring and measurement
to efficiently and effectively minimize risks. Moreover, resource-based theory models
enterprise-controlled assets, capabilities, competencies, processes, and knowledge
availability with the aim of strategically orchestrating resources to achieve organizational
goals and enhanced competitiveness (Tabares et al., 2015; Varsei et al., 2014).
Yaokumah (2013), as well as Yaokumah and Brown (2014), found that
organizational value delivery, risk management, performance measurement, resource
management practices positively correlate to effective ISG strategic alignment. I
extended the Yaokumah as well as Yaokumah and Brown ISG model to the relationship
between strategic alignment, value delivery, risk management, resource management,
performance measurement implementations, and ISG effectiveness. My study outcome
indicated strategic alignment practices were the most significant predictor of ISG
effectiveness.
Yaokumah (2013) found value delivery and risk management variables are
significant predictors of ISG effectiveness. Moreover, Yaokumah (2013) found ISG value
delivery is a less significant predictor of ISG effectiveness than risk management. My
combined second and third ISG survey responses disconfirmed that the value delivery
and risk management variables are significant predictors of ISG effectiveness as found by
Yaokumah (2013). My combined second and third ISG survey responses also
disconfirmed value delivery is a less significant predictor of ISG effectiveness than risk
management as found by Yaokumah (2013).
Applications to Professional Practice
The results of my regression analysis indicated strategic alignment was the only
statically significant contributor to ISG effectiveness. Strategic and tactical leaders of the
500 largest for-profit United States headquartered corporations can achieve effectual ISG
by ensuring a tight coupling between the business and information security strategies.
For achieving this end, strategic and tactical leaders should establish the business
objective of ensuring information security effectiveness through strategically aligned
value delivery, risk management, performance measurement, and resource management
policies, procedures, as well as technology.
Security threats can hinder or reduce the possibility of business and IT objective
achievement, value creation, and value preservation (R. Davis, 2008; Srivastava &
Kumar, 2015; Tarafdar et al., 2015). Ethically, management must protect the
organization’s information assets from potential external and internal threats that can
compromise confidentiality, integrity, and availability to preserve processing,
presentation, and use value (Ahmad et al., 2014; R. Davis, 2008; Whitman & Mattord,
2012). Legally, within the information security control system, corporate managerleaders
as agents are responsible and accountable for deploying controls inhibiting security
breaches mandated by laws and regulations (Clark & Harrell, 2013; R. Davis, 2008).
Information security management should actively participate in ensuring their enterprise
has an appropriate control environment that protects information assets (Flores et al.,
2014; R. Davis, 2008).
Without regard to whether scholars view information security as a program
supporting corporate governance (e.g., Bahl & Wali, 2014; Edwards, 2013) or an IT
governance program subset (e.g., Kwon et al., 2013; Yaokumah, 2013), IAP is necessary.
An adaptive balance between sound management and applied technology reflects
effectual information security (Ahmad et al., 2014; Safa et al., 2016). Corporate
management’s development and deployment of sound information security policies and
procedures enable ensuring appropriate information assets safeguarding while
efficaciously applied technology can increase effectiveness to address potential exterior
and interior threats (Ahmad et al., 2014). My doctoral study results might assist IT
leaders with improving ISG practice areas to protect information assets more effectively
with a concomitant reduction in recovery costs.
Implications for Social Change
The implications for positive social change include potential increased trust and
reduced costs from e-commerce use. Trust is a perception desire to rely on something or
someone for security (Safa & Solms, 2016). Consumer perceptions of Internet
information security can influence trust beliefs and trusting intentions (Bahmanziari &
Odom, 2015). An e-commerce related information security incident can cause a
measurable negative influence on customer behaviors (Arief et al., 2015; Choi &
Nazareth, 2014; Lee & Lee, 2012). Effectual security solutions are imperative to
achieving trust relationships, especially with new customers (Choi & Nazareth, 2014). A
higher perceived Internet security level leads to greater intent to purchase products using
B2C e-commerce websites (Hartono, Holsapple, Kim, Na, & Simpson, 2014). The
potential exists to provision IT leaders with a better understanding of the factors related to
designing and deploying effectual ISG for B2C e-commerce that enables consumer
trust.
Corporate IT leaders can improve the trust factor for stakeholders in technology
containing personally identifiable information through effectual ISG (R. Davis, 2008).
Personal privacy and identity are among the most valuable intangible assets individuals
ever own (R. Davis, 2008). Nonetheless, technological manipulation continually enables
intentional or unintentional privacy invasions (R. Davis, 2008). Cyber attackers have
ranged from hobbyist to spies typically motivated by personal, financial, or political
factors (Arief & Adzmi, 2015). IT related identity theft had cost consumers over $5
billion yearly (Trautman, Truche, & Wetherbe, 2013). Cyber defenders were unable to
adequately address cybercrime through only implementing technical information security
solutions (Arief & Adzmi, 2015). Therefore, corporate cyber defenders needed to
consider the human factors involved in cybercrime (Arief & Adzmi, 2015). Arief and
Adzmi (2015) suggested an efficient approach for preventing cybercrime could include
cyber attacker identification as well as arrest, and profiling potential victims.
Information security breaches were a controversial concern (Safa et al., 2016; Safa
& Solms, 2016). A researcher argued that individuals engaged in cybercrime due to the
lack of deterrents as well as psychological factors (Holt & Bossler, 2014). The invasion
of privacy is only symptomatic of a critical question confronting individuals living in the
information age (R. Davis, 2008): How can corporate information security protect
citizenry rights and freedoms while simultaneously controlling criminal inclinations?
Choi and Nazareth (2014) suggested substantial investments if properly directed can
serve as an effectual information security breach deterrent. More secure IT operations can
benefit communities through enhanced governance quality that consequently would
increase trust and reduce costs from e-commerce use (Bahmanziari
& Odom, 2015; Ludin & Cheng, 2014; Starbuck, 2014; Yaokumah, 2014).
My study results support positive social change aimed at broadening the
understanding of activities that influence trust and cost through ISG practices. The
current study uncovered a predictive relationship between strategic alignment, resource
management, risk management, value delivery, performance measurement
implementations, and ISG effectiveness using my second and third survey outcomes. My
first and second ISG survey response rates revealed external security knowledge sharing
issues in United States-based corporations. The findings suggest IT leaders have the
potential to design and deploy an effective ISG program in their organization by engaging
ITGI ISG domain processes that enable consumer trust and reduce consumers’ costs.
Recommendations for Action
IT leaders should pay attention to the results, as well as evaluate which ITGI
(2008) practice implementations correlate with ISG effectiveness in United States-based
corporations. Information security breaches lead to additional costs for corporations and
significantly affect the corporate reputation (Safa et al., 2016). IT leaders should work
toward fully implementing ITGI ISG domain processes to address the challenges for
preventing and deterring information security breaches. IT leaders should also ensure
these ITGI ISG domain processes are transparent for sharing with stakeholders. The
knowledge furnished by this study can aid IT leaders in deploying measures that can
significantly improve an information security program. Corporate manager-leaders, as
well as other stakeholders, may use the constructed model for this study as an analytical
tool to assist in predicting ISG effectiveness realization.
Upon my graduation from Walden University, my ISG doctoral study will become
available through the ProQuest dissertation and thesis database for review by students,
scholars, librarians, and professionals. I will disseminate a summary of findings to
research participants interested in reviewing my study results. I will also actively pursue
publication in academic journals and practitioner workbooks with references to my
doctoral study. Moreover, potential venues for sharing my ISG study outcomes include
academic and practitioner conferences, association meetings, as well as Internetbased
webinars such as information systems conferences, professional organization meetings,
and sponsored compliance training.
Recommendations for Further Research
My study holistically employed five information security domain areas to examine
ISG correlates of United States-based corporate business sector types. The sample
selection for this ISG study comprised wide population subcategories (United States
business sector types). As such, the investigated population findings might be
generalizable to large developed country corporations. Though intercorporate ISG
business sector predictability matters, there is the need to redress ISG effectiveness at the
individual industry type because no single approach to an ISG implementation strategy
and devised tactics ensures successful realization (Silic & Back, 2014; Yaokumah, 2013).
Consequently, future studies should evaluate ISG effectiveness in corporations within the
same industry type.
My study was not without limitations. The response sample size was not large for
my first and second ISG surveys. Future researchers should pursue ISG research using a
large sample size with innovative survey techniques that generate high response rates to
verify the presented model. Alternatively, Barton (2014) suggested future researchers
consider replacing self-reported information security surveys with an investigator or
third-party assessments.
Only a few studies have specifically examined the maturity of ISG
implementations (e.g., Yaokumah, 2014). However, the degree of ISG realization in
developed countries remains an open question (Flores et al., 2014). In particular, two
subject related issues are prominent concerning developed countries deploying domain
practices to ensure effectual ISG. First, what is the ISG deployment level in United States
of America private as well as public corporations? Second, are there any differences in
the implementation level of ISG focal areas among developed and developing countries?
Through addressing these questions, future researchers will extend available academic
literature enabling potential strategic improvements necessary for reasonably ensuring
prevention and deterrence of information security threats.
Reflections
After years of serving as an IT auditor and consultant, I have extrapolated that
many of the largest organizational formations needed effective leadership in generating
consumer confidence regarding information systems management. The research project
origin stems from media reported information security breaches. Particularly, based on
recent information security debacles documented by journalists, organizational
management lacked effective ISG practices when designing, constructing, and deploying
information systems and associated technologies. Reflecting on this assessment, my
personal integrity, commitment, and reliability values for ensuring appropriate IAP
aligned with my professional motivations for pursuing scholarly research enabling
optimal strategic alignment, resource management, risk management, value delivery, and
performance measurement implementations for effective ISG of entrusted data.
The performed research improved my understanding regarding the relationship
between strategic alignment, resource management, risk management, value delivery,
performance measurement implementations, and ISG effectiveness in United Statesbased
corporations. Committee members appointed to guide me through the doctoral study
process suggested proper research construction. Continuous monitoring and feedback
from committee members and making revisions to my study strengthened the scholarly
writing in this ISG examination. Following the Walden University (2014) Doctor of
Business Administration rubric guidelines was an essential task that benchmarked and
measured study progression.
Based on the research question, I employed a quantitative research method with a
correlational research design to examine the relationship between strategic alignment,
resource management, risk management, value delivery, performance measurement
implementations, and ISG effectiveness in United States-based corporations. The
research environment is becoming increasingly complex (Ross & Onwuegbuzie, 2014),
interdisciplinary (Lunde, Heggen, & Strand, 2013), and dynamic. Researchers need a firm
understanding of multiple methods employed by other scholars to facilitate
communication, to foster collaboration, and to provide rigorous research (Lunde et al.,
2013). Thus, quantitative research methods presented through analyzing and synthesizing
resources (e.g., Yaokumah, 2013, 2014; Yaokumah & Brown, 2014) assisted in
answering the posed doctoral study research question concerning corporate information
security in the United States.
Considering the literature read and evaluated; this ISG study confirmed the
research method choice directly affects the validity and generalizability of an undertaken
research project. At the detail level, the literature read and evaluated during this ISG
study confirmed quantitative research analyses of collected data should address threats to
conclusion validity. Moreover, my first and second ISG survey response rates confirmed
the significance of culture as an Internet-based data collection factor as suggested by
Roster, Albaum, and Smith (2014), and elevated the effect of national cultural norms on
external information security knowledge sharing.
My first and second ISG survey response rates also confirmed organizational
manager-leaders are frequently unwilling to participate in information security research
as suggested by Barton (2014). There are potentially three conceptual metaphors
applicable to scholar-practitioners: connector, recycler, and translator (Kram, Wasserman,
& Yip, 2012). Within these three conceptual metaphors, I perceived my academic role to
encompass business subject matter expert, thought leader, as well as a social change
catalyst.
Summary and Study Conclusions
With cyber attackers targeting large corporations achieving a 93% success rate
during 2013 (Brewer, 2014), IT leaders needed to improve ISG practices (Silic & Back,
2014). Grounded in corporate governance theory, the purpose of this quantitative
correlational study was to examine the relationship between strategic alignment, resource
management, risk management, value delivery, performance measurement
implementations, and ISG effectiveness in United States-based corporations. There are
two data sources used when performing my doctoral study research: primary and
secondary. Preceding the primary data collection, secondary source data generation for
my ISG study included a literature review employing online periodical interrogation
consisting of a five-step process: journal, database, keywords, and backward as well as
forward searches.
Primary data collection for each predictor and criterion variable occurred through
an Internet-based survey. I sought to collect survey data from a minimum of 92 strategic
and tactical leaders of the 500 largest for-profit United States headquartered corporations.
I selected standard MLR techniques to assist in analyzing the data to answer the research
question. I applied multiple regression analysis using SPSS version 21 software in
assessing the relationship between the predictor variables and criterion variable to enable
forecasting secure IT operations. Secure IT operations can benefit communities
interfacing with corporate information systems economically and socially (Price, 2014).
Effectual security solutions are imperative to achieve trust relationships with
stakeholders.
Trust is a social commitment variable (Edwards, 2013). Enabling and maintaining
positive trust perceptions are increasingly challenging for business leaders (Kamisan &
King, 2013). A corporation lacking trust in deployed information security is an enterprise
destined to attain organizational discontinuity (Edwards, 2013). Researchers found trust
influence a consumer’s purchase decision and affect long-term loyalty through
satisfaction (Choi & Nazareth, 2014). Given information security breaches can have a
detrimental satisfaction effect (Arief et al., 2015); public and private stakeholders are
increasingly demanding ISG institutionalization with program oversight (Srivastava &
Kumar, 2015). Nonetheless, scholarly research furthering understanding the relationship
between strategic alignment, resource management, risk management, value delivery,
performance measurement implementations, and ISG effectiveness within a particular
organizational formation type is sparse. I responded to this information research
deficiency by examining prominent ITGI ISG domain practices that may have an
influence on corporate ISG effectiveness.
I attempted to demonstrate the influence ITGI ISG domain practices have on ISG
effectiveness through receiving responses from my first recruitment effort. Given the
100% nonresponse rate from my first recruitment effort, the regression model was not
tested to indicate the variance in ISG effectiveness explained by ISG domain practices.
Moreover, the second recruitment effort only generated one complete participant
response which precluded regression model testing using SPSS version 21.
My first and second Internet-based survey outcomes implied that a cultural
difference regarding ISG knowledge sharing exists between strategic and tactical
managers in developed versus developing countries. Shaaban and Conrad (2013) found
national culture influences information security in Zanzibar. Other researchers suggested
organizational cultures encapsulated within a national culture influence the information
security culture (Alnatheer, 2014; Karlsson, Åström, & Karlsson, 2015). Though my
adopted research methodology did not encompass testing why this is the case, I suspect
United States national cultural norms for nonmandatory disclosures influence corporate
management’s security culture for voluntary knowledge sharing through surveys.
Given the low response rates from my first and second surveys, I sought
additional survey participants through partnering with professional association managers.
I requested professional association managers extract and send my survey participation
requests to members who met the eligibility requirements for working in the 500 largest
United States-based corporations with at least 1 year of professional experience. I
subsequently received 94 responses through deploying my third participant recruitment
procedures. The regression model was tested using participant responses from my second
and third surveys to indicate the variance in ISG effectiveness explained by ISG domain
practices. The results implied that a significant association exists between strategic
alignment, resource management, risk management, value delivery, performance
measurement implementations, and ISG effectiveness.
My contribution to understanding the effect of ITGI domain practices extends
corporate governance theory. My doctoral study results might assist IT leaders with
improving ISG practice areas to protect information assets more effectively with a
concomitant reduction in recovery costs. However, perhaps more importantly, this study
provides corporate IT manager-leaders with the knowledge to develop and deploy an
effective ISG program that increases the propensity for consumer trust and reduces
consumers’ costs.
Students also viewed