Introduction Banks Operate In Business Environments
Banks operate in business environments that entail a level of inherent
risk from the products and services that they offer to customers (Abdullatif
& Kawuq, 2015). Inherent risk, also known as absolute risk, derives from
the environment without mitigating internal control effects (Van de Venter
et al., 2016). Inherent risk in the loan portfolios was the cause of five U.S.
banks failing in 2016 and another 10 banks in 2017 (Federal Deposit
Insurance Corporation, 2018). Managing risks associated with loan
portfolios is a top priority for bank managers and leaders (Bushman et al.,
2018). Unlike large banks, some small and medium-sized banks do not have
the resources and expertise to manage risk at an acceptable level (Frazer,
2015).
Background of the Problem
The U.S. banking industry is the most liquid and largest market
globally (Laeven et al., 2016). This industry supports the world’s largest
economy with the greatest diversity in banking institutions and private credit
concentration (Lundqvist & Vilhelmson, 2018). The banking sector has
awakened to risk management, especially since the 2007-2008 financial
crisis (Amarh, 2015; Jian & Zhi, 2018). The function of risk management in
banking is complicated; bank managers continue to look for the best risk
assessment tools and practices to mitigate the high level of inherent risk in
their loan portfolios (Thakor, 2018). By implementing a more robust risk
management strategy, bank managers may decrease residual risk and
increase profit and market share (Stulz,
2015).
Problem Statement
Managing risks associated with bank loan portfolios is a continuing
issue for some bank managers (Lim et al., 2017). The number of failed banks
in the United States between 2008 and 2017 was 528, with a corresponding
loss of assets totaling 750 million dollars (Federal Deposit Insurance
Corporation, 2019). The general business problem was that a high level of
inherent risk exists that negatively affects the outcome of loan portfolios of
banks in the United States. The specific business problem was that some
bank managers lack strategies to mitigate the level of inherent risk in their
retail loan portfolios.
Purpose Statement
The purpose of this qualitative multiple case study was to explore
strategies bank managers use to mitigate the level of inherent risk in their
retail loan portfolios. The targeted population included eight bank managers
from four different banks located in San Antonio, Texas, who had
implemented successful strategies in managing the risk of their retail loan
portfolios. The implication for positive social change is that improved
strategies in managing risks might benefit residents through increased access
to credit, which could empower the residents to improve and better their
communities.
Nature of the Study
McCusker and Gunaydin (2015) identified three broad methods of
inquiry available to researchers: qualitative, quantitative, and mixed
methods. Researchers use the qualitative method to understand a
phenomenon through open-ended inquiry, usually relying heavily on text
and image data gathered from study participants (Berger, 2015). A
qualitative approach enables the researcher to probe into responses and
observations to obtain detailed information about experiences, behavior, and
beliefs (Kruth, 2015). Qualitative researchers collect data primarily through
semistructured interviews to gain an understanding and meaning of a
phenomenon (Yin, 2017). I chose the qualitative method. With the
quantitative method, researchers use data to test hypotheses involving two or
more quantitative variables (Ma, 2015). I did not test hypotheses and
examine differences or the relationship among variables in this study. Mixed
method researchers combine quantitative and qualitative methods in the
same study to obtain a greater understanding of a phenomenon (Johnson,
2015). I did not use the mixed method as the quantitative aspect is not a part
of my study.
The qualitative research design I selected was a multiple case study.
Yin (2017) described a case study design as a study within the real-life
contemporary context of a setting for providing an in-depth understanding of
a case bounded by time and place. Mojtaba and Nonino (2017) suggested
that a multiple case study provides researchers a robust exploration of a
phenomenon. Another research design option was ethnography, which is a
systematic study of culture for the researcher to observe from the point of
view of the subject under review (Kruth, 2015). However, the ethnographic
design was not appropriate as I did not plan to study culture in this study.
Alternatively, a researcher uses a phenomenological design to explore the
meanings of participants’ lived experiences (Yin, 2017). A
phenomenological design was not appropriate for this study as I did not
intend to explore the meaning of participants’ lived experiences. Although
each of the alternative designs had a unique research purpose, none of them
were an optimal choice for my study. A case study design was optimal to
address my research question as my focus is to explore an in-depth situation
of a phenomenon bounded by time and place.
Research Question
What strategies do some bank managers use to mitigate the level of
inherent risk in their retail loan portfolios?
Interview Questions
1. What strategies have you used to mitigate the level of inherent risk
in your retail loan portfolios?
2. How does your organization assess the level of inherent risk in the
retail loan portfolios?
3. What were the key barriers your organization encountered when
implementing your strategies for mitigating the level of inherent
risk in your retail loan portfolios?
4. How did your organization address the key barriers to
implementing your successful strategies for mitigating the level of
inherent risk in your retail loan portfolios?
5. How has your organization assessed the effectiveness of your
strategies for mitigating the level of inherent risk in the retail loan
portfolios?
6. How does your organization develop risk assessment in the retail
loan portfolio?
7. What additional information can you share regarding strategies to
mitigate the level of inherent risk in the retail loan portfolios?
Conceptual Framework
The conceptual framework for this study was the enterprise risk
management (ERM) framework. In 1994, the Committee of Sponsoring
Organizations of the
Treadway Commission (COSO) developed a model for evaluating internal
controls (COSO, 2017). Business leaders use the ERM framework to
develop effective internal controls (Pierce & Goldstein, 2018). In 2003, the
ERM Committee of the Casualty Actuarial Society (CAS) first introduced
the framework by outlining rationale, evolution, and risk analysis from the
casualty actuarial perspective (Nocco & Stulz, 2006). Bank managers use the
ERM-COSO model for guidance when developing internal controls for the
achievement of organizational objectives. According to Altheebeh and
Sulaiman (2016), the ERM-COSO framework encompasses (a) control
environment, (b) risk assessment, (c) control activities, (d) information and
communication, and (e) monitoring. The foundation of internal controls
within an organization includes leadership, shared values, and a culture that
emphasizes accountability (Graham & Kaye, 2015). The ERM framework
was appropriate for this study as this framework includes a holistic
functional component that is applicable to address inherent risk components.
Operational Definitions
Credit risk: The possibility of borrowers defaulting on the promised
payments or the chance that assets will lose value below the recorded value
(Cohen et al., 2014).
Committee of Sponsoring Organization of the Treadway Commission
(COSO) framework: COSO provides guidance for designing, implementing,
and conducting internal control and assessing its effectiveness (Wu et al.,
2015).
Financial risk tolerance: The maximum uncertainty acceptable when
making decisions that involve financial issues (Hemrajani & Sharma, 2018).
Liquidity risk: From the perspective of a financial institution’s
leadership, liquidity risk occurs when an insufficient buffer of cash exists to
cover the gaps in cash receipts and disbursements (Toews, 2015).
Loan default: A situation where a debtor fails to meet his or her legal
obligations according to the debt contract (Cowling et al., 2018).
Risk appetite: The level of risk an organization is willing to accept
(Wu et al.,
2015).
Risk assessment (Risk analysis): The process of identifying and
analyzing potential risks, including financial, operational, strategic, and
reputational, that could negatively impact key business initiatives (Lam,
2016).
Assumptions, Limitations, and Delimitations
Assumptions
Assumptions in research refer to basic perceptions that are seemingly
true but difficult to substantiate (Nkwake & Morrow, 2016). This study
consisted of three fundamental assumptions. The first was that the qualitative
method was an appropriate method to explore the factors related to this
study. The second assumption was that the respondents would be
trustworthy and would provide honest responses. The third assumption was
that bank managers in this study were appropriate for exploring themes
involving inherent risk in retail loan portfolios.
Limitations
Limitations refer to study weaknesses beyond a researcher’s control
(Yin, 2017). The first limitation was scheduling interviews at a time that is
convenient for participants yet maintaining timely data collection. The
second limitation was the study findings might not be generalizable to other
banks outside of the specific geographic location of the study. The third
limitation was bank managers might misrepresent or present biased
responses in order to influence the study findings.
Delimitations
Delimitations are specific choices and boundaries of the study made
by the researcher (Fan, 2016). One delimitation to this case study was the
size of the sample population. I focused on the banking sector because bank
managers face increase inherent risk in the retail loan portfolios. Another
delimitation was the location. The participants for the study were selected
from one geographical area: San Antonio, Texas. Thus the result may not
reflect the banking industry worldwide. The exclusion of managers of
medium and large banks in the rest of the country could diminish the validity
and reliability of the findings
Significance of the Study
Contribution to Business Practice
Findings from the study might be of value to business leaders by
gaining new insights regarding managing inherent risks in retail loan
portfolios. Effective management of inherent risks is a valuable long-term
growth strategy (Ferro de Guimarães et al.,
2017). The findings of this study might improve business practice by
equipping bank managers with relevant strategies to mitigate inherent risk in
managing retail loan portfolios.
Implications for Social Change
Banks customers could benefit from the results of this study by
accessing loans with a lower probability of default. A lower default rate in
individual bank loans will increase the credit scores and further increase the
propensity to access more credit to boost the day-to-day standard of living of
individuals in the community. The results of this study could have
significant effects on local community residents by increasing access to
credit to build local businesses and better their communities.
A Review of the Professional and Academic Literature
A literature review is critical in a research process as researchers can
identify, evaluate, and synthesize existing literature that relates to the
research topic (Shaikh & Karjaluoto, 2015). The literature review provides
an overview of existing knowledge on the phenomenon of a study (Boell &
Cecez-Kecmanovic, 2015). Researchers conduct literature reviews to
generate new ideas related to the phenomenon of the study (Ishak & Osman,
2016). The purpose of this qualitative multiple case study was to explore
strategies bank managers use to mitigate the level of inherent risk in their
retail loan portfolios. The central research question for the study was what
strategies do some bank managers use to mitigate the level of inherent risk in
their retail loan portfolios? To answer the research questions and find the
potential solutions to the problem, I explored the literature relating to the
established framework and the topic.
In this literature review, I identified professional and academic
literature on banks’ success and related topics other researchers have
explored. A comprehensive exploration of the research question may be
useful in providing additional information for bank managers to mitigate the
level of risk in the retail loan portfolio. The literature review content in this
study was a comprehensive, critical analysis and synthesis of the literature
related to the conceptual framework of ERM. The findings of this study may
provide bank managers with information on how to develop and implement
strategies that reduce the level of inherent risk in retail loan portfolios.
Some of the databases and library materials I used to search the
literature of this study included ProQuest Central, Accounting, Tax &
Banking Collection, Dissertations & Theses at Walden University,
ABI/INFORM Collection, Emerald Management Journals, and Walden
University Library databases like EBSCOhost and ProQuest. Other sources
of literature for this study included Business Source Complete, Academic
Search Complete, ScienceDirect, Thoreau Multi-Database Search, and
SAGE Journal.
Torraco (2016) suggested that researchers should begin the search for
literature by listing keywords. The keywords I utilized to narrow online
search included banking, retail loan portfolio, risk, inherent risk, enterprise
risk management, internal control, risk management, risk assessment, risk
appetite, residual risk, risk culture, silo (traditional), and risk management.
Using these keywords, I found 279 relevant sources to use in this study,
primarily consisting of peer-reviewed articles published since 2017 (see
ERM Framework
Risk is the possibility of loss or exposure to loss, a hazard, an
uncertainty, or an opportunity (Rae et al., 2017). Bessis (2015) argued that
risk is ultimately a multilayered concept indicating that there is a great deal
at stake for entities. Sadgrove (2016) measured risk on two scales:
possibility and likelihood. Possibility refers to the intensity or magnitude of
loss or damage, whereas likelihood is the frequency of loss, damage, or a
missed opportunity. Thus, a risk might be an opportunity or a threat. The
management of risk and reward is challenging, as evidenced by the 2008-
2009 economic crisis and its related uncertainty (Graham & Kaye, 2015).
Risk management has been widely debated as institutions and entities
adopt strategic risk management. In recent times, there have been significant
changes in how risk is managed on an entity level. Previously, risk
management was in silos, where different entity units handled risk
independently (Bogodistov & Wohlgemuth, 2017).
Bessis (2015) argued that risks are interconnected and must be managed
accordingly.
Consequently, Lam (2016) argued that most failures associated with poor
risk management could often be attributed to a convergence of multiple
factors. There is not one correct approach for managing risk, but there
appears to be some consensus about the need for the institutionalization of
enterprise-wide risk management (Kamalahmadi &
Parast, 2016). Hence, risk management is emerging as a priority for most
organizations (Hopkin, 2017). The underlying premise of ERM is that every
entity exists to provide value for the stakeholder (Stulz, 2015).
ERM is a process affected by the organization’s board of directors,
management, and other personnel (Wu et al., 2015). The ERM process
applies in strategy settings across the entire organization (Wu et al., 2015).
ERM is designed to identify potential circumstances that may affect the
organization and manage risk within its risk appetite to provide reasonable
assurance regarding the achievement of objectives (Wu et al., 2015).
Baharuddin and Yusof (2018) stated ERM was born out of the realization
that banks are operating in a dynamic environment that is characterized by
constant, complex, and rapid changes; thus, it requires a more
comprehensive and integrated approach to risk management. ERM has
emerged as a best practice technique for many banks to mitigate risk and
enhance control vigorously since the 2009 financial crisis (Dorsey, 2015).
Based on information gathered from literature, other authors define ERM as
a rigorous and coordinated approach to assessing and responding to all risks
that affect the achievement of an organization’s strategic and financial
objectives (Lam, 2016). Dorsey (2015) described ERM as a discipline by
which enterprises monitor, analyze and control risk across the enterprise,
with the objective of identifying underlying correlation and optimize the
risk-taking behavior in a portfolio context.
ERM was born out of the rationalization that banks are operating in a
dynamic environment that is characterized by constant, complex, and rapid
changes and requires a more integrated approach to risk management (Grace
et al., 2015). According to Hoyt and Liebenberg (2015), ERM is a process
that takes a holistic view of risk management. Graham and Kaye (2015)
described ERM as a discipline by which enterprises monitor, analyze, and
control risks across the enterprise, with the goal of identifying underlying
correlation and further optimize the risk-taking attitude in a portfolio. Berry‐
Stölzle and Xu (2018) suggested ERM is a process that manages all risks in
an integrated, holistic manner by controlling and coordinating any offsetting
risk across the entity.
COSO's ERM integrated framework is an example of a comprehensive
framework that applies ERM in a strategic setting (Lam, 2016). Starting at
the top and supporting the organization’s mission is what differentiates
COSO from other risk frameworks (Berry‐Stölzle & Xu, 2018). According
to Prewett and Terry (2018), the ERM integrated framework describes the
connection between objectives (what the organization strives to achieve) and
the ERM components (what is needed to achieve objectives).
The ERM framework is one of the most widely recognized and
applied risk management publications and tools worldwide. The ERM
framework outlines how senior managers and executives can have greater
confidence in addressing many critical 21stcentury business challenges as
they navigate evolving markets, segments, rapid technological change, and
heightened regulatory and compliance focus (Lam, 2016). Minotra and
Burns (2016) suggested the ERM framework can turn preventative,
processbased risk monologue into a proactive, opportunistic-focused
conversation to uncover how risk management can create, preserve, and
realize quality and value.
Every business decision involves an element of risk (Wolke, 2017).
There are risks involved in making investments, hedging with derivatives, or
extending credit to retail customers or business entities (Gatzert & Martin,
2015). Over time, business decisions and risks collectively build up into
entities entire risk portfolio that constitutes the entities risk profile (Graham
& Kaye, 2015). With such a complex, interlocking system of entity-wide
risks, it is obvious that a silo-based risk management strategy is inferior to
the integrated framework of ERM (Prewett & Terry, 2018). ERM provides
integrated analyzes, integrated strategies, and integrated reporting regarding
an entity’s key risk, which addresses entities' interdependence and aggregate
exposures (Prewett & Terry, 2018). Regulators, rating agencies, business
executives, and academics have advocated an innovative approach to risk
management (Wolke, 2017). ERM proposes the integrated management of
all risks an organization faces, which inherently requires alignment of risk
management with corporate governance strategies (Bromiley et al.,
2015).
Historical Development of the ERM Framework
Since the 20th century, insurance is the primary way companies have
managed risk (Wu et al., 2015). In the 1970s and 1980s, entity managers
started to introduce quality assurance to ensure that products conformed to
their specifications (Wu et al., 2015). The ISO 9000 standards epitomize
adherence to compliance (Sadgrove, 2016). In 1995, the concept of risk
management evolved with the publication of the Australian risk management
standard AS/NZS 4360 (Sadgrove, 2016). According to Diwan et al. (2018),
ERM relates to and originates from the portfolio theory proposed by
Markowitz (1952). The goal of this theory is to minimize the overall impact
of risk through a holistic management approach (Diwan et al., 2018).
The concept of ERM was developed in the mid-1990s (Wu et al.,
2015). Risk management begins with finance, focusing on the ways to avoid
bankruptcy in dynamic environments. The field of risk management grew
with the deregulation of financial institutions, as well as issues with some
public traded companies. There exist multiple risk management frameworks,
including that of the COSO 2004. COSO is the leading accounting standards
organization in the United States. In 2004, COSO published ERM integrated
framework. ERM is a systematic, integrated approach to managing all risks
facing an entity (Gatzert & Martin, 2015). The framework allows managers
to identify, evaluate, and manage significant corporate risk from a holistic
perspective (Renn, 2017). The ERM framework was undoubtedly
encouraged by traumatic events like the 9/11 and business scandals like
Enron and WorldCom. ERM is applied in a strategic setting and across the
enterprise, and it is designed to manage risk within the entity’s risk appetite
(Graham & Kaye, 2015).
The development of an ERM program enables companies to manage
risk in a holistic manner as opposed to the silo-based perspective in
traditional risk management frameworks (Gatzert & Martin, 2015). Every
business faces parallel challenges of growing earnings and managing risks.
A striving organization needs to identify and meet customer needs with
quality services and products, recruits and retain talents, and correctly make
smart and proactive business and investment decisions that will profit
generation in the future (Lam, 2016). Therefore, the pursuit of new profit-
generating opportunities means the business must take on a variety of risks
(Lam, 2016). For the purpose of this study, it is necessary to restate that
ERM is not a theory rather a framework.
ERM Application
All entities face uncertainty, and the challenge for management is to
determine how much uncertainty to accept as it strives to improve
stakeholder value (Wu et al., 2015). Banks face a wide variety of risks that
can have an enormous impact on the outcome of their operations (De
Simone et al., 2015). The risk management process and application are well
established, although presented in a number of different standards, ways,
guides, publications, and terminologies. ERM enables management to
effectively deal with uncertainty and associated risk and opportunity,
enhancing the capacity to build value (Renn, 2017). However, the risk
management framework cannot take place in isolation (Lam, 2016). The
framework needs to be supported by other frameworks within the
organization (Frazer, 2015). Several risk management standards exist
worldwide, including the Institute of Risk Management (IRM) Standard,
British Standard 311100. There is also the American COSO ERM
framework (Renn, 2017). The well-respected and established Australian
Standard AS 4360 was withdrawn and replaced by ISO 31000.
The ISO 31000 Standard includes many features that mirror the AS 4360
Standard.
Wolke (2017) described ERM as a new paradigm for dealing with
organizational risk that allows policy makers to focus on ways to improve
corporate governance and general risk management. Global initiatives on
internal control, corporate governance, and risk management have driven the
use of ERM (King, 2016). Consolidated risk management allows entities to
overcome limitations associated with traditional silo-based risk management
practices (Wolke, 2017). Although the extant literature suggests that ERM
deployment leads to value creation, the systematic studies failed to
specifically indicate the components that lead to value creation (Pierce &
Goldstein, 2018).
ERM provides a methodology for managing the entire range of risks
and is the measurement and qualification of risk, as well as establishing
individual risk ownership (Prewett & Terry, 2018). Managers use the ERM
framework to ensure that all risks facing the organization are identified,
analyzed, and quantified (Wolke, 2017). Farrell and Gallagher (2015)
defined ERM as a discipline by which entities monitor, analyze, and control
risks across the enterprise, with the goal of identifying underlying
correlations and thus optimizing the risk-taking behavior in a portfolio. In
literature, ERM is synonymous with integrated risk management, holistic
risk management, enterprise-wide risk management, corporate risk
management, and strategic risk management (Graham, 2015). Moreover, risk
awareness carries the effects of organizational environment and reporting
processes to risk management effectiveness (Bailey et al., 2017). For the
purpose of this study, I reviewed the COSO ERM framework that is an
example of a comprehensive framework that applies ERM in a strategic
setting.
The COSO ERM Framework
COSO is an independent private sector initiative devoted to assisting
organizations to develop effective internal control, deter fraud, mitigate risk
and improve the performance of organizations (Kimbell, 2017). COSO’s
internal control integrated framework was initially intended to identify the
root cause of the financial failures of the
1980’s’ and develop a control model that reflects those root causes
(McNally, 2015).
COSO is made up of five private sponsoring organizations, namely the
American
Institute of Certified Public Accountants (AICPA), the Institute of Internal
Auditors
(IIA), the American Accounting Association (AAA), the Institute of
Management
Accountants (IMA), and Financial Executives International (Kimbell, 2017).
COSO is applicable to all industries and all types of risk (Graham,
2015). Starting at the top and supporting an organization’s mission is what
differentiates the COSO ERM framework from other risk management
frameworks (McNally, 2015). The connection between business objectives
(what the organization strives to achieve) and the ERM components (what is
needed to achieve the objectives) is the core of the COSO ERM framework
(Lam, 2016). In 1992, COSO published an integrated framework for internal
controls, which constituted five components (Kimbell, 2017). In 2013,
COSO issued a comprehensive update to its original 1992 internal control
integrated framework
(Kimbell, 2017). The COSO framework is the de facto framework utilized
by more than 99% of entities required to comply with the Section 404(b)
internal controls over financial reporting (ICFR) requirement (SOX; Bailey
et al., 2017). Section 404(b) of the
Sarbanes Oxley Act of 2002 requires that the management of public
companies assess the effectiveness of internal control of issuers of financial
reporting (Bailey et al., 2017). Public company auditors must attest to, and
report on, management’s assessment of internal control (Kimbell, 2017;
Setiyawati, 2016).
COSO broadly defines ERM as the culture, capabilities, and practices
integrated with strategy setting and its execution that entities rely on to
manage risk in creating, preserving, and realizing value (Shad et al., 2018).
COSO components of internal control include control environment, risk
assessment, control activities, information and communication systems, and
monitoring (COSO, 2013; Mukhina, 2015). The control environment
component of internal controls within an organization is the tone at the top
with respect to the effectiveness of internal control (Murphy & Free, 2016).
The tone at the top establishes a major influence on ethical business
practices (Patelli & Pedrini,
2015). The control environment component consists of (a) the organizational
structure, (b) authority and responsibility assignment, (c) the integrity and
ethical values, (d) human resources policies and procedures, (e) the financial
reporting competencies, (f) management’s philosophy and operating style,
and (g) the board of directors’ oversight (COSO, 2013; Rubino et al., 2017).
Dimitrijevic (2015) stressed the importance of a control environment in
businesses to help mitigate the risk of employees committing fraud.
The COSO published internal control, and integrated framework was a
major influence on the evolution of the internal audit and risk management
(Bogodistov &
Wohlgemuth, 2017). During the strategic planning process, an organization’s
management sets strategic objectives, selects appropriate strategies, and
establishes supporting objectives that cascade throughout the organization
(Murphy & Free, 2016). The COSO framework includes four categories of
organizational objectives. The first category is strategic objectives, which are
those high-level goals that align with the mission of the organization
(Murphy & Free, 2016). Strategic objectives are defined as critical to the
success of corporate strategy (De Simone et al., 2015). For instance, it
achieved a 60% market share over a two-year timeframe. The second
category is operations that relate to the efficiency and effective use of the
organization’s resources, for instance, striving for a less than 5% default rate
on loans issued on an annual basis (Murphy & Free, 2016). Strategic and
operational categories may be subjected to externalities that may be beyond
the control of management. The third category is reporting, which relates to
the reliability of the organization's internal and external reporting (Murphy
& Free, 2016). Internal reporting is critical to ensure the key indicators are
measured and monitored to enable managers to take action when necessary
(De Simone et al., 2015). External reporting is important to make sure the
organization meets the needs of its stakeholders (Bogodistov &
Wohlgemuth, 2017). For instance, the continuous flow of cash to meet
strategic objectives. The fourth category is compliance objectives that
conform to all applicable laws and regulations (De Simone et al., 2015).
For instance, compliance with the Sarbanes Oxley Act for public traded
companies.
Organizations' achievement of reporting and compliance objectives
are generally within the organizations' control (De Simone et al., 2015). This
is not always the case with strategic and operational objectives (De Simone
et al., 2015). ERM framework assists in providing reasonable assurance that
management, and the board in its oversight role, are made aware in a
reasonable time frame of the extent to which the entity is moving towards
achieving its objectives (De Simone et al., 2015).
In September 2017, the COSO board released an update to the 2004
ERM Integrated Framework. The framework is widely used by management
to enhance an entity’s ability to manage uncertainty and consider the level of
risk to accept as management strives to increase value (Tomas et al., 2017).
The initiative enhanced the framework’s content and relevance in an
increasingly complex business environment for entities to attain better value
from ERM (Rubino et al., 2017). The COSO internal control integrated
framework expands from five components of internal control to eight
components of ERM (Lundqvist, 2014). The components include
•Internal environment. This is the control environment with the
additional concept of risk management philosophy and risk
appetite, integrity, ethical values, and the environment in which the
entity operates (Rubino et al., 2017). This component forms the
basis for which risk and controls are understood and dealt with by
the entity’s personnel. The internal environment sets the
foundation for how risk is viewed (Tomas et al., 2017).
•Objective setting. Objectives must exist before management can
identify potential events affecting their results (Berry‐Stölzle &
Xu, 2018). ERM ensures management has put in place a process to
set objectives, and the chosen objectives support aligning with the
entity’s mission, vision, objectives and are consistent with the risk
appetite (Lundqvist, 2014).
•Event identification. Internal and external events affecting the
achievement of an entity’s objectives must be identified,
distinguished between risks and opportunities (Lundqvist, 2014).
•Risk assessment. Risks are assessed per their likelihood and impact
on both an inherent and residual basis (Berry‐Stölzle & Xu, 2018).
Risks are analyzed, considering likelihood and impact, as a basis
for determining how they should be managed (Lundqvist, 2014).
Risk assessments require proper identification, measurement,
analysis, and documentation of significant business activities,
associated risks, and existing risks (Berry‐Stölzle & Xu, 2018).
Financial risk assessment focuses on identifying control
weaknesses and material errors in financial statements such as
incomplete, inaccurate, or unauthorized transactions (Rubino et al.,
2017).
•Risk response. Risk response techniques include avoidance,
reducing, accepting, and sharing the risk (Rubino et al., 2017). The
risk response techniques should align with residual risk, risk
tolerance, and the entity’s risk appetite (Murphy & Free, 2016)
•Control activities. Policies and procedures must be established and
implemented to ensure that risk management actions are
effectively carried out (Murphy & Free, 2016). Preventive controls
are designed to deter the occurrence of undesirable events, while
detective control is designed to identify operational weaknesses
and help effect corrective actions (Tomas et al., 2017).
•Information and communication. Relevant information is
identified, captured, and communicated in a timeframe and form
that enable users of the information to make informed decisions
(Anderson, 2017). Effective communication occurs when
information flows horizontally and vertically across the entity
(COSO, 2013; Rubino et al., 2017).
•Monitoring. Ongoing monitoring is essential for the entity to
proactively reach change (Berry‐Stölzle & Xu, 2018). A separate
evaluation is necessary to provide assurance the ongoing
management activities are well designed and operate effectively
(COSO, 2013; Rubino et al., 2017).
Graham (2015) asserted that the implementation of ERM is driven by
the combination of internal and external factors (Graham, 2015). This
framework enables entities to effectively and efficiently develop systems of
internal controls that adapt to evolving business and operating environments,
mitigate risk to an acceptable level while supporting sound decision making
and governance to the entity (COSO, 2013; Rubino et al., 2017).
In September 2017, the COSO board collaborated with
PriceWaterhouseCoopers and released an update to the 2004 ERM integrated
framework. Rubino et al. (2017) asserted that the new COSO ERM
framework is the first authoritative framework to focus and provide some
guidance on the vital role of risk management in long-term value creation
and preservation. COSO is one of the most widely recognized and applied
risk management frameworks worldwide (COSO, 2013). This initiative
enhanced the framework’s content and relevance in the increasing business
environment so that entities can better attain value from a holistic and
enterprise-wide approach (Anderson, 2017). The update further highlights
the importance of ERM in strategic planning. The update emphasizes
embedded ERM throughout the entity, as risk influences strategy and
performance (Banerjee, 2016). Challenges and evolving expectations faced
by business leaders and board members require an understanding of
economic markets, evolving technologies, and changing demographics
(Anderson, 2017).
The new ERM - integrating with strategy and performance clarifies
the relevance of ERM strategic planning (Anderson, 2017). ERM is
embedded throughout the entire entity since risk influences and aligns
strategy and performance across all departments and functions (Berry‐
Stölzle & Xu, 2018). The 2017 updated COSO ERM framework consists of
five interrelated components. The components include:
•Governance and culture. Governance sets the entity’s tone and
establishes oversight responsibilities for ERM (Anderson, 2017).
Culture pertains to ethical values, desired behaviors, and the
understanding of risk in the organization (COSO, 2017).
•Strategy and objective setting. Objective setting, strategy, and
ERM work together in the strategic planning process (Berry‐
Stölzle & Xu, 2018). A risk appetite is establishing and aligned
with strategy while business objectives put the strategy into
practice that serves as a basis for identifying, assessing, and
responding to risk. (COSO, 2017)
•Performance. The board and management need to identify and
assess risks that may impact the achievement of strategy and
business objectives (BerryStölzle & Xu, 2018). Risks are
prioritized by severity in the context of risk appetite (Jing et al.,
2017). The entity manager and the board then select risk responses
and take a portfolio view of the amount of risk at stake (Jing et al.,
2017). The results of this analysis are shared with key risk
stakeholders
(COSO, 2017).
•Review and revision. Risk officers and stakeholders review entity
performance and ascertain how well the ERM components are
functioning, the substantial changes identified, and what revisions
are needed (COSO, 2017).
•Information, communication, and reporting. ERM mandates a
continuous process of obtaining and sharing necessary information
from both external and internal sources, which flows horizontally
and vertically (COSO, 2017).
The five components in the 2017 updated framework are supported by a
set of principles. These principles cover a wide range of items from
governance to monitoring (Berry‐Stölzle & Xu, 2018). These principles are
manageable in size and describe practices practitioners can apply in different
entities regardless of the size, type, or sector (COSO, 2017). Adhering to
these principles can provide bank managers and the board with the
reasonable expectation that the entity understands and strives to manage the
risks associated with its strategy and business objectives (COSO, 2017). The
20 governing principles are subdivided into five categories:
•Governance and culture. The governance and culture category
comprises of the following principles: exercise board risk oversight
establishes the organizational structure, defines desired culture,
demonstrate the commitment
to core values, and attract, develop, and retain capable individuals
(COSO, 2017).
•Strategy and objective setting. The strategy and objective setting
category comprise the following principles: analyses business
context, defines risk appetite, evaluate alternative strategies, and
formulate business objectives
(COSO, 2017).
•Performance. The performance category comprises of the
following principles: identifies risk, assesses the severity of the
risk, prioritizes risk, implement risk responses, and develop
portfolio view (COSO, 2017).
•Review and revision. The review and revision category comprises
the following principles: assess substantial change, reviews risk
performance, and pursues improvement in the ERM (COSO,
2017).
•Information, communication, and reporting. The information,
communication, and reporting category comprise the following
principles: leveraging information and technology, communicates
risk information, and report risk, culture, and performance (COSO,
2017).
Academia and scholars have no doubt that entities will continue to
face a future of volatility, complexity, and ambiguity (Murphy & Free,
2016). However, ERM will be an important part of how bank managers
make decisions in the future. Lundqvist and Vilhelmson (2018) suggested
that regardless of the type and size of the entity, strategies need to stay true
to the mission. The updated framework clarifies that ERM is not an isolated
activity (Berry‐Stölzle & Xu, 2018). An effective ERM process should
leverage the processes, functions, departments, and committees that already
manage risk (Lam, 2016). Ewers (2017) asserted that by instilling a culture
of risk awareness and transparency, organizations could create an
environment where everyone takes the role of a risk manager. An ERM
process enables entities to benefit from an integrated approach to risk
management as it looks at portfolio diversification (Lam, 2016). Although
the enterprise-wide risk management framework does not eliminate risk, it
enhances the maximization of the entity’s value (Jing et al., 2017).
The ERM Framework and Competitive Advantage
Banks can gain a competitive advantage only when they implement
strategies that create value, making it challenging for potential or current
competitors to imitate (Graham & Kaye, 2015). Managing risk from an
integrated perspective can help banks to achieve their objectives and attain
competitive advantage (Lam, 2016). Ewers (2017) asserted that the
management of inherent risk is vital towards achieving organizational goals
and competitive advantage. An entity’s potential or current competitors must
be unable to replicate the benefits of the company’s strategy to attain and
sustain a competitive advantage (Barney, 1991). The concept that firms have
different strengths and weaknesses lies in their access to and control of
strategic resources and the development of critical skills (Douglas, 2016).
When banks’ resources are economically valuable, relatively rare, difficult to
imitate, and imperfectly mobile, bank managers can explain the differences
in an entity’s performance (Douglas, 2016). Firms can attain a competitive
advantage through social capital, organizational process, and innovation
(Koroteeva et al., 2016). Firms can create agility, adaptability, and alignment
as distinct business strategies to gain sustainable competitive advantage
(Dubey et al., 2018). With such a complex, interlocking system of company-
wide risk, it is obvious that a silo-based risk management strategy is inferior
to the integrated and holistic framework of ERM (Lam, 2016). According to
Murphy and Free (2016), the level of strategic risk management
implementation in an entity is based on several contingent variables such as
board independence, firm size, ownership structure, growth rate, effective
communication, organization risk culture, regulation, and industry type.
Ewers (2017) asserted that for a risk management system to be effective, it
must be able to coordinate the various sectors responsible for risk.
According to the ERM framework, ERM is endemic in that it
considers all major risks facing an entity and an inherent part of corporate
strategy (Wu et al., 2015). Brustbauer (2016) noted that enterprise risk could
include a variety of factors with potential impact on banks' activities,
processes, and resources. The risk continues to evolve as the public changes
its views on products and services over time. Bailey et al. (2017) asserted
that a systematic approach to risk management could lead to more rational
organizational management and competitive advantage. King (2016) noted
that ERM seeks to provide means to recognize and mitigate risk and provide
the tools to address those risks. Epstein (2018) suggested that one of the
most critical factors for ERM is the integration of risk management into
business processes. ERM provides integrated analyses, integrated strategies,
and integrated reporting pertaining to the entity’s key risk, which addresses
their interdependencies and aggregate exposures
(Gatzert & Martin, 2015). According to Douglas (2016), profit maximization
entities should consider implementing ERM programs to mitigate risk and
boost competitive advantage. The applied conceptualization of ERM may
help entities adjust to changing environments to gain strategic advantage,
thus increase competitiveness and business success (Abu Hussain & Al-
Ajmi, 2017). Frazer (2016) noted ERM is the discipline by which entities
monitor, analyze, and control risks from across the organization, with the
objective of identifying underlying correlation and thus optimize the risk-
taking behavior in a portfolio context. Therefore, entities that have
successfully integrated the ERM process into both the strategic and everyday
activities display a superior ability to uncover risk dependencies and
consequently enhance value (Farrell & Gallagher, 2015).
Recommendation for Using the ERM Application
ERM incorporates a comprehensive approach to risk management,
aligning with the entity’s strategy, objectives, and mission while involving
employees at all levels of the entity (Graham, 2015). Pett et al. (2015)
argued that risk has holistic effects, creating the need for comprehensive
management. This strategic application of dealing with risk identifies and
assesses risks faced by entities and examines potential control mechanisms
(Hopkin, 2018). ERM involves a broader perspective that considers several
types of risk associated with the entity’s objectives.
The ERM framework provides a better understanding of risk appetite
and tolerance (Annamalah et al., 2018). However, more clarification is
needed on the updated framework. For instance, many entities have
struggled to find a mechanism to express risk appetite and tolerance
(Anderson, 2017). Other entities have developed a slightly more granular
risk appetite methodology (Brustbauer, 2016). However, very few entities
have succeeded at identifying helpful appetite and tolerance statements
(Cohen & Falcione, 2016). The new ERM update framework is a step in the
right direction that will facilitate good debates in the future.
The framework also focuses on strategy within the context of the
entity’s core values, vision, and mission (COSO, 2017). By focusing on the
inherent risk in carrying out strategies and achieving business objectives, an
entity can improve the likelihood of managing and mitigating risks
effectively and efficiently (Lam, 2016). Risk management is an overlay and
additional objective that complements the expected return strategy the entity
chooses (Wisutteewong & Rompho, 2015). While the framework does not
translate to strategic risk, it can provide a mechanism to evaluate strategic
options (Anderson, 2017). Risk management is all about strategy and
performance (COSO, 2017). Risk management is an integral component in
formulating better decisions (Anderson, 2017). According to Wisutteewong
and Rompho (2015), successful entities that use the ERM framework
practice the five categories and 20 categories of the strategy-focused entity
to accomplish strategic focus and alignment.
Value is also a major point of focus with the new framework. Each
entity defines value differently; however, an entity’s purpose is to provide
value to stakeholders (Hopkin, 2018). When making decisions, as part of a
risk-aware culture and opportunities are filtered through the optimized risk
management process, the entity’s performance likely trend positively (Dubey
et al., 2018). Managers assert that the most important aspect of the updated
ERM framework provides a means to assess an entity’s risk practices (Rae et
al., 2017). Jing et al. (2017) assessed the ERM maturity level by using risk
management principles. For entities to benefit from this framework, they
need to be at the maturity level, which helps facilitate a tailored assessment
that factors in the culture and complexity of the entity (Dubey et al., 2018).
The use of an ERM framework increases risk awareness and
eventually increases knowledge that leads to sound decision-making (Ogutu
et al., 2018). Bogodistov and Wohlgemuth (2017) argued that without a
holistic ERM, entities could have a higher acceptable risk level compared to
an entity with a mature enterprise-wide risk management framework where
risk is better mitigated. Whereas traditional risk management techniques
limit earnings volatility when compared to the enterprise-wide risk
management framework help reduce volatility by preventing the aggregate
of risk (Hopkin, 2017). In addition, technological advancements in computer
software and increasing sophisticated statistics and economic analytical
models have made the ERM framework more viable and robust (Setiyawati,
2016).
Limitations of the ERM Framework
Although the ERM framework provides assurances to stakeholders
that inclusive goal achievement would be at minimal risk, it has limitations
(Dubey et al., 2018). The ERM framework implemented by entities in the
past has not done well to focus on strategic value creation objectives (Lam,
2016). However, the growing empirical research on ERM is not without
limitation. Sadgrove (2016) argues that the issue of endogeneity and other
related issues, especially of methodology, make it challenging to draw
general conclusions about ERM effectiveness. Lam (2016) also argued that
even though prominent framework claims to represent “best practices,” there
appeared to be no theoretical or empirical evidence about such claim. In
addition, despite the extensive literature on ERM, practitioners have not
adequately addressed inter-firm differences in enterprise-wide risk
management.
Lundqvist (2014) observed that ERM has no defined process that
assures total management of risk or focuses on the sensational and obvious
risk while ignoring the routine. Sadgrove (2016) explained the goal of ERM
is to address risk in all areas of the companies. Murphy and Free (2016)
argued ERM is subject to interpretations and turns to be elusive rather than
descriptive. In addition, Graham (2015) stated ERM is reactive as opposed to
proactive. Graham further stated ERM framework does not take into
consideration the cost of mitigation. Therefore, management understands the
severity and likelihood with no assessment of mitigation cost. If mitigation
cost is assigned to risk assessment decisions, stakeholders will make a better
and informed decision based on the cost-benefit analysis (Graham, 2015).
ERM is a system addressed, developed, and implemented by individuals,
and the human resource system drives its success (COSO, 2017). Factors
causing technical system failures, such as misguided cultural assumptions
and values, fiscal pressures, errors, injudicious agentic decisions, and control
failure, can cause an ERM system to fail (Agarwal & Ansell, 2016).
Alternative Theories
The founding members of the COSO framework are dedicated to
providing thought leadership through the development of a comprehensive
framework and guidance on internal control, ISO 31,000, and fraud
deterrence designed to improve board oversight and entity overall
performance (Graham, 2015). Alternative business theories and frameworks
to the COSO ERM framework include; the general system theory, fraud
triangle model, and portfolio theory. These models and theories encompass
various means managers utilize to achieve organizational goals (Länsiluoto
et al., 2016).
The General System Theory von Bertalanffy introduced the general
systems theory by establishing that a system is an entity and coherently
whole (Hughes et al., 2015). According to Keynes (2018), the general
system theory is a logical-mathematical discipline applicable to all sciences
concerned with systems. von Bertalanffy (1972) noted that entities could use
the system thinking concept to understand how the different components of a
system interact and affect one another (Tittle, 2018). From the systems
theory perspective, an entity can achieve its objectives when all key tasks
form a whole system (Fang et al., 2015). Systems exist when interdependent,
but related components are achieving a valued preset objective (Hughes et
al., 2015). General systems theorists argued that an entity is a whole system
that consists of interrelated and interdependent activities (Keynes, 2018).
These activities consist of processes and techniques for investigating and
improving the entire system (Hughes et al., 2015). The performance of one
task in an entity has a direct effect on the other components (Millar & Porter,
1985).
Systems thinking provide a deeper understanding of how a dynamic
and complex system behavior contributes to firm success (Tittle, 2018).
Systems theory focuses on the interrelationships, influences, and dynamics
of business activities and how they affect the firm in achieving its objectives
and attain sustainable performance (Brown & Ulgiati, 2018). Critical
components, interdependency, relationships, and objectives represent
fundamental elements of systems theory. The key components of a firm
include its activities, which comprise a system that is critical for the firm to
operate and contributes to achieving the overall objectives (Hughes et al.,
2015). An entity’s systems and processes consist of the end-to-end
sequencing of activities required to acquire and transform resources into
products, services, and solutions that are of value to customers (Paucar-
Caceres et al., 2016). The activities are related, and their relationships affect
firm performance (Hughes et al., 2015). By observing a phenomenon with a
holistic perspective, firm managers and owners can understand and improve
firm performance and achieve sustained competitive advantage (Fang et al.,
2015).
According to the general system theory, a firm is a system that
consists of parts that are interdependent and connected (Tittle, 2018). The
activities of the firm are interconnected, and the effect in one part of a chain
can affect performance in other parts. Therefore, the performance of one
activity directly affects the cost and effectiveness of the others (Millar &
Porter, 1985). The entity’s systems and processes comprise activities
necessary to acquire and transform resources into assets that will return
value to the firm. Through these systems and processes, entities can
accumulate and leverage tangible and intangible resources that result in
value creation (Peace et al., 2018).
Bank managers can understand the relationships between different
parts of a system and how the components depend on one another as a
whole, rather than looking at one key component (von Bertalanffy, 1972).
Business owners and managers can use systems thinking to broaden
sustainability initiatives beyond optimizing efficiency by focusing on
strategy rather than tactics (Waller et al., 2015). Using systems thinking
approach, bank managers can understand how the different activities of a
bank interact and how each department affects or is affected by other
departments (Turner & Endres, 2017). Considering that bank activities are
complex and influenced by various factors, bank managers can use systems
thinking to analyze firm performance (Fang et al., 2015). Bank managers can
use systems thinking to establish accountability in bank activities, ensure fair
treatment of stakeholders, and create a sustainable impact on communities
(Tittle, 2018).
Bank managers and senior executives can use the systems thinking
approach to resolve organizational problems by establishing that the
activities of the bank are linked and interconnected (Tittle, 2018). Bank
managers can view a bank as a system comprising of different components
that are intertwined (Turner & Endres, 2017). The components include
customers, suppliers, economy, technology, cultural, physical, and the legal
environment (Więcek-Janka et al., 2016). Bank managers should view their
organizations as mental constructs to enable them to conceptualize, learn,
and improve problematic situations (Paucar-Caceres et al., 2016). Entities
can achieve their goals when all activities contribute and operate efficiently.
However, the failure of one key component may threaten or reduce firm
performance (Hughes et al., 2015). From the systems thinking perspective,
firms can attain sustainable growth, minimize risk, and performance by
understanding the relationship and interaction between the economic, social,
and environmental factors (Grayson & Hodges, 2017; Pollanen et al., 2016).
These activities work together, influence each other, and have a positive
interaction (Fang et al., 2015).
The Fraud Triangle
In the 1950s, an American criminologist, Donald R. Cressey,
developed the fraud triangle framework to illustrate the components that
cause an individual to commit fraud (Cressey, 1952). The fraud triangle
framework has evolved over time and is used to understand why employees
commit fraud, how it is detected, and the preventive measure to mitigate the
risk (Free, 2015). Marshall and Cali (2016) suggested that components of
fraud triangle theory are dynamic and could be taken into consideration
when determining why individuals commit fraud. Perceived pressure is a
motivating factor to commit fraud (Said et al., 2018); perceived opportunity
paves the path of the fraudster to commit fraud (Norazamina et al., 2018);
and rationalization helps the fraudster justify their action (Lokanan, 2015).
Norazamina et al. (2018) defined three elements that need to be present for
an employee to commit fraud. These elements included (a) non-sharable
financial problems, (b) perceived opportunity, and (c) rationalization.
Bank managers use the fraud triangle framework to understand how
and why bank employees commit fraud (Kramer, 2015). In-depth knowledge
and understanding of the fraud triangle can assist bank managers in fraud
prevention (Kramer, 2015; Lokanan, 2015). Kramer (2015) noted that bank
managers deploy the fraud triangle to address fraud risk elements
proactively. Bank managers with an understanding of the opportunity
component of the fraud triangle are quick to modify and strengthen internal
controls (Glodstein, 2015). Bank managers must ensure strong internal
control when using the fraud triangle as an instrument to detect and prevent
fraud schemes (Lokanan, 2015). To gain insight into the thinking of
individuals and provide training on codes of ethics, bank managers adapted
the fraud triangle methodology (Kramer, 2015; Verschoor, 2015).
Understanding the fraud triangle, bank managers maintain a positive work
environment to mitigate fraud occurrence (Kramer, 2015).
While regulators and practitioners utilize and support the fraud
triangle framework in the detection and prevention of fraud, the framework
is not free from limitations (Stone, 2015). Glodstein (2015) noted that every
fraud case is unique; therefore, some critics of the framework believe it has a
narrow interpretation (Murphy & Free, 2016). Other critics noted that the
fraud triangle addresses the motive of fraud from an individual’s perspective
whereas, perceived pressure and rationalization cannot be observed and
controlled by the organization (Mui & Mailley, 2015). Said et al. (2018)
noted that the theory provided inadequate motives on the actions of
individuals capable of committing and concealing fraudulent activities.
The Portfolio Theory
The rationale behind the portfolio theory before turning to ERM is the
argument that portfolio theory and holistic risk management are closely
related. According to Schied et al. (2018), organizational-wide risk
management is related to and originated from the portfolio theory proposed
by Markowitz (1952), as they both suggest that risk should be managed on a
portfolio basis. The goal of this theory is to minimize the overall impact of a
given 21 risk through a holistic management approach (Schied et al., 2018).
Another proposition of this theory is that the expected variance in the returns
of a firm is best minimized by bringing the independent, noninteractive
business units together
(Jarkas & Horner, 2015).
Researchers use the portfolio theory to determine the highest return
for a given level of risk (Madan, 2018). In other words, it enables the
determination and selection of a portfolio with the lowest risk possible
(Hwang & Pedram, 2018). The assumption of the modern portfolio theory
includes the notion that the effect of the overall portfolio risk is less than the
impact of the individual risks (Markowitz, 1952). Consistent with this
observation, Hoyt and Liebenberg (2015) observed that by implementing an
integrated risk management framework, an organization could combine its
various risks into a risk portfolio resulting in increased productivity and
profitability through cost savings. Further developments and improvements
of the portfolio theory include; postmodern portfolio theory, stochastic
portfolio theory, and fuzzy portfolio theory (Hwang &
Pedram, 2018).
Risk in the Financial Markets
Risk is the possibility of an event occurring that will have an impact
on the achievement of objectives and measures in terms of impact and
likelihood (Bilgihan & Wang, 2016). However, estimating likelihood and
impact can be difficult and challenging. Risk begins with strategy
formulation and objective setting (Tittle, 2018). Halliru (2016) suggested
that since no two entities are identical, each entity have unique strategies and
objectives and face different types of risks. Risk does not present a single
point estimate; risk represents a range of possibilities. Without a single
outcome, the range is what creates uncertainty when understanding and
evaluating risks (Campbell & Park, 2017). Risk is inherent in all aspects of
life; risks associated with conducting a form of business are considered a
business risk (Hemrajani & Sharma, 2018). Douglas (2016) asserted that
business risks are uncertainties related to the achievement of business
objectives. An entity has to take some level of risk if it wants to achieve
business objectives (Dubey et al., 2018; Schied et al., 2018). More ambitious
objectives may require that more risk be accepted; however, if the effort is
successful, the reward should also be greater.
Sadgrove (2016) stated that an entity that does not take enough risk
fails by being supposed by the company that does take the necessary risks.
While some risks should be avoided, other risks need to be accepted as a cost
for doing business (Frazer, 2015). An entity’s size, formality, management
team dynamics, industry, regulatory requirements, and other demographics
are just some of the potential influencing factors (Tittle, 2018). Business risk
is the possibility an entity will have lower than anticipated profits or
experience a loss rather than taking a profit (Schied et al., 2018). However,
frameworks for assessing and developing risk-based plans vary from
enterprise to enterprise. Bessis (2015) asserted that entities must develop
their capabilities to respond to and mitigate risks. Developed capabilities are
a strategic strength in highly competitive areas, as well as essential to the
longevity of the entity (Feinstein et al., 2017).
Types of Risk in the Financial Markets
The regulations that emerged from the global financial crisis and the
fines that were levied in its wake triggered a wave of change in risk function
(Sweeting, 2017). The inherent risk in the retail loan liquidity risk portfolio
for banks still exists despite regulations enacted by the Federal Government
post the 2008 financial crisis (Silva et al., 2017). Financial institutions such
as banks own large retail loans and other closed-end loan instruments. Big
banks like Wells Fargo, Citi Bank, and Bank of America underwrite loans or
purchase loan portfolios of other banks; these banks also sell a portion of
their own loan portfolio off to their bank competitors. Customarily, banks
continually assess and reassess the loan quality within their loan portfolio.
Quality can range from interest rate earned, FICO score of customers,
customer payment history, and type of loan (Jian & Zhi, 2018; Laeven et al.,
2016). Risk management in banks has changed substantially. Although
banks share many same risks as other entities and businesses, the major risk
that especially affect banks are liquidity risk, credit default risk, systemic
risk, and operations risk (Cohen et al., 2014).
Liquidity Risk
Khan et al. (2017) defined liquidity risk as the risk stemming from the
lack of marketability of an investment that cannot be bought or sold in due
time to prevent or minimize losses. Bessis (2015) defined liquidity risk as
the risk of not being able to raise cash when needed. Liquidity risk in banks
arises from funding or long-term assets with short-term liabilities, thereby
making the liabilities subject to rollover or refinancing risk (Waemustafa &
Sukri, 2015). Liquidity risk is closely associated with other dimensions of
the bank's financial structure, such as interest rate, market risk, profitability,
and solvency (Rahman & Banna, 2016). Liquidity risk can be sub-divided
asset and funding liquidity risk. Funding liquidity risk designates the
exposure to loss if an institution is unable to meet its cash requirements,
while asset liquidity risk designates the exposure to loss based upon the
inability to effect a transaction at a current market price due to either relative
position size (Ippolito et al., 2016). The failure or inefficiency of liquidity
management might be as a result of the strength of liquidity pressure, the
preparation of the financial institution liquidity instrument, the institution
condition at the time of liquidity pressure, and the inability of the institution
to find internal and external liquid sources (Bessis, 2015).
Systemic Risk
Systematic risk, also known as market risk, is the uncertainty inherent
to the entire market or business (Feinstein et al., 2017). This type of risk is
both unpredictable and impossible to avoid completely. Over the years,
financial markets and banks exhibited sudden and largely unforeseen
collapses at a systematic scale (Acemoglu et al., 2015). Business managers
cannot mitigate such risk through but rather hedge or utilize appropriate
asset allocation strategy (Feinstein et al., 2017). Laeven et al. (2016) argued
that systematic risk grows with bank size and is inversely related to bank
capital, and this effect exists above and beyond the effect of bank size and
capital. Estimating systematic risk in banks relies on granular data on the
financial network because of hidden business interaction s between banks on
confidentiality issues (Giglio et al., 2016). Laeven et al.
(2016) noted that large banks are riskier or create more systematic risk than
small banks. Freixas et al. (2015) suggested that the approach taken by bank
managers towards identifying systematic risk is to utilize disaggregated data,
including information on the composition of the bank assets and liabilities,
maturity, and currency mismatching, and other balance sheet and income
metrics. While enormous progress has been made in measuring and
mitigating inherent bank risk, further improvements are possible, especially
in the analysis of banks' contribution to systematic risk (Ben Salah Mehdi &
Boujelbene Abbes, 2017).
Credit Default Risk
Paligorova and Santos (2017) defined credit default risk as the
potential of a bank borrower to fail to meet its obligations in accordance with
the agreed terms and conditions. Bessis (2015) defined credit risk as the risk
of losses due to borrowers’ default or deterioration of credit standing. The
sources of credit risk include loans, acceptances, interbank transactions,
financial futures, swaps, bonds, equities, options, and the extension of
commitment and guarantees and the settlement of transactions (Banks,
2016). An entity’s default risk is a forward-looking measure of the entity’s
own probability of default or current and future risk facing its creditors
(Lundqvist & Vilhelmson, 2018). Banks mitigate credit default risk by
screening applicants, require collateral for a loan, perform a credit risk
analysis, and by diversification of risks. Baron and Xiong (2017) noted
banks could substantially reduce credit risk by lending to their customers
since they have much more information about them, thus reduce adverse
selection. Lundqvist and Vilhelmson (2018) argued that ERM should
theoretically reduce the volatility of cash flow, agency risk, and information
risk, thereby ultimately reducing an entity’s default risk. Credit ratings are a
commonly utilized proxy for default credit risk, and multiple credit rating
studies have focused on the quantifiable data, retrospective factors, like
macroeconomic factors and financial ratios, to predict credit ratings
(Cornaggia et al., 2017).
Operational Risk
According to the Bank of International Settlements (BIS), operational
risk is defined as the risk of loss resulting from inadequate or failed internal
controls processes, people, and systems of external factors. Operational risk
is fundamentally different from all other risks taken by banks. Risk is a
consideration in the activities, products, and services of an entity. In contrast
to conventional financial markets, it is difficult to measure and model
operational risk measures. Bessis (2015) argued operational risk includes
malfunctions of the information systems, reporting systems, internal risk
monitoring rules, and procedures designed to take corrective actions in a
timely manner. Due to operational risk management, bank managers can
evaluate the entire enterprise in a holistic manner to create a detailed risk
profile for senior managers and the board to make informed decisions
(DeAngelo & Stulz, 2015).
Operational risks range from compliance, credit risk, information
technology risk, transaction processing, human resource, liquidity, taxation,
and fraud. Saeed and Izzeldin (2016) noted that operational risk governance
would recognize that business line management is responsible for identifying
and managing the inherent risk in products, processes, systems, and
activities. Ames et al. (2015) suggested that bank personnel performing an
internal and independent review on bank operations must be competent and
appropriately trained with segregation from developmental projects,
implementation, and operation of risk framework. To calculated operational
risk capital, banks a required to use four data elements, internal loss data,
external loss data, scenario analysis, business environment savvy, and
internal control factors. Bessis (2015) noted banks should have a strong
control environment that utilizes policies, processes, and systems,
appropriate internal controls, and appropriate risk mitigation and transfer
strategies.
ERM Framework and Retail Loan Portfolio in Banking
In banking, ERM is a comprehensive risk-optimization process that
integrates risk management across the entity (Kimbell, 2017). Lam (2016)
stated that the board of directors ultimately makes the decisions to develop
and implement an ERM framework. The ERM framework often aligns risk
with the strategic objectives of an entity. ERM is not a process to eliminate
risk or to enforce risk limits, rather encourage banks to take a broad look at
all the risk factors, understanding the interrelationships among those factors,
define an acceptable level of risk, and continuous monitoring areas to ensure
that the risk defined threshold is achieved (Tittle, 2018).
Sadgrove (2016) asserted that the enterprise-wide aspect of ERM is
what differentiates it most fundamental from more traditional risk
management techniques. Many entities, including banks, have utilized the
services of internal auditors to perform risk assessments and report their
findings to senior executives and the audit committee (Feinstein et al., 2017).
Douglas (2016) argued that under the internal audit approach, risks are
addressed individually, sometimes without the consideration of strategic
implementation. However, the ERM reduces this sole effect and ensures
ongoing communication with all stakeholders (Halliru, 2016). There exists
no tailored ERM approach; instead, banks can meet their specific needs with
various tailored approaches that consider their complexity, resources, and
expertise (Cram & Gallupe, 2016).
Feinstein et al. (2017) argued that for the board and senior executives to
establish a risk culture to mitigate risk related to retail loan portfolios, they
provide consistent support for the ERM framework throughout the
organization, from all stakeholders. Future objectives are reasonably
achieved without exceeding a predetermined, stated risk tolerance (Banks,
2016).
Laeven et al. (2016) suggested that for each uncertainty related to
retail loan portfolios, a leading indicator is created along with parameters
that would trigger a risk management response. On a risk assessment
strategy, a risk map evolves from manager surveys to determine the priority
of risks (Tittle, 2018). Glodstein (2015) noted that management identifies the
cost and benefits for accepting each risk type prior to implementation. Bank
managers and staff must understand the differences between risk avoidance,
risk reduction, risk-sharing, and risk avoidance to better address the risk.
Top management stays abreast with ERM responsibilities with a robust and
reliable reporting regime. On monitoring, management reports performance
versus establish risk limits to assess effectiveness (Halliru, 2016).
Transition
In Section 1 of this research study, I discussed the problem statement,
purpose statement, nature of the study, conceptual framework, research
question, significance of the study, and the review of the literature. In
Section 2, I restate the purpose statement; review the role of a researcher and
participants. This section also includes an overview of the research method
and design, population and sampling method, and ethical research. The
section also describes the data collection instrument, techniques of data
organization, and data analysis. I finalize Section 2 with the reliability and
validity of the study.
Section 3 includes the research study findings, including applications to
professional practice, implications for social change, recommendations for
further study, and reflection on my experience as a researcher.
Section 2: The Project
Purpose Statement
The purpose of this qualitative multiple case study was to explore
strategies bank managers use to mitigate the level of inherent risk in their
retail loan portfolios. The targeted population included eight bank managers
from four different banks located in San Antonio, Texas, who had
implemented successful strategies in managing the risk of their retail loan
portfolios. The implication for positive social change is that improved
strategies in managing risks might benefit residents through increased access
to credit, which could empower the residents to improve and better their
communities.
Role of the Researcher
The role of a researcher is to formulate the research question, select an
appropriate research method and design, collect data, and analyze the data
(Khankeh et al., 2015). A researcher should obtain data from participants
and maintain an understanding of a study (Berger, 2015). I collected data by
telephone.
To maintain integrity, a researcher should ask relevant questions,
listen to the participants through an unbiased lens, and understand the
complex issues of the study (Yin, 2017). To minimize bias, I approached the
study as an independent observer and acted only to gather data, leaving out
my personal beliefs. I used an interview protocol (see Appendix) throughout
the study to ensure the integrity of the research and protect the
confidentiality of the participants. Bias is difficult for a researcher to avoid
during a research process (Aslanidis, 2017). Researchers should understand
ethics and integrity that relate to a study to achieve research goals and
objectives (Wilson et al., 2018). The Belmont Report underlined ethical
principles and guidelines for researchers working with human subjects (U.S.
Department of Health and Human Services, 2016). The Belmont
Report includes three basic ethical principles: (a) respect of persons, (b)
beneficence, and
(c) justice (U.S. Department of Health and Human Services, 2016). In
addition, the Belmont Report sets forth documentation about informed
consent, assessment of risk and benefits, and the selection of subjects. In this
study, to conform to the Belmont Report guidelines and principles, I
purposefully selected participants to eliminate vulnerable humans, and I
obtained a signed informed consent from each participant confirming that
each participant was willing to participate.
A researcher should reflect on prior knowledge of the issue studied
(Elbaz, 2018). The professional experience I gained as a banker in my prior
experience increased my interest to explore strategies bank managers use to
mitigate the level of inherent risk in their retail loan portfolios. I am no
longer a banker and did not have any personal or professional relationship
with participants. I asked participants open-ended questions and follow-up
questions when necessary. In qualitative studies, researchers learn how to
minimize bias and strive for a high ethical standard during the research study
(Yin, 2017).
As the researcher is the instrument in a qualitative study, the
researcher should be aware of the biases during the entire interviewing
process (Sorsa et al., 2015). For this study, I limited biases through the
technique of bracketing. Bracketing is a common technique in qualitative
analysis in which researchers identify possible personal biases and attempt to
eliminate any impact the biases may have on the research process (Sorsa et
al., 2015). I used bracketing to ensure that personal emotions and biases
would not
impact the results of the study. Additionally, after completing the interviews,
I summarized interview notes, emailed notes to participants to review,
clarified any issues, and corrected incomplete and incorrect information.
Member checking assures the validity of the data and increases the academic
rigor of the study. I recorded pertinent information from risk policy
documents, procedures, and Form 10K into qualitative notes (fieldnotes). I
uploaded all the notes in NVivo (Version 11) to help identify patterns and
themes.
Interview protocols are useful in enhancing unity, consistency, and
reliability during the entire interview process (Powney & Watts, 2018). I
followed the same interview protocol with each participant to make sure that
I did not miss or skip any vital steps in the course of the interview process.
My interview protocol comprised of an introduction, discussion purpose,
discussion guidelines, general instruction, interview questions, and
conclusion (see Appendix). Using interview protocols to establish rules and
guidelines is crucial when carrying out qualitative interviews (Dikko, 2016;
Yin,
2017).
Participants
Participants for a study need to have relevant experiences related to
the research question to offer valuable insights (Marshall & Rossman, 2016).
When carrying out a qualitative case study, researchers need to ensure the
experience of participants relates to the overarching research question (Yin,
2017). In addition, participants’ willingness to partake in the study is critical
(Yin, 2017). The researcher should engage participants about the accuracy,
fairness, and validity of the research (Latiffi et al., 2016). The primary
criterion included bank managers who have demonstrated success in
managing retail loan portfolio risk as measured by their return on investment
from investment decisions. I selected participants who met the willingness to
participate and were bank managers located in San Antonio, Texas.
Gaining access to participants requires a specific strategy (Gülmez et
al., 2016). Gatekeepers are responsible for controlling a researcher’s access
to the information within an entity (Gülmez et al., 2016). Researchers
usually seek permission from gatekeepers to perform a study (Gülmez et al.,
2016). Gatekeepers should consider their co-workers and the entities they
represent in making decisions (Whicher et al., 2015). The gatekeepers for
this study included senior leaders from banks and financial institutions who
agreed to be a part of this research. I discussed my research with my network
of bank managers, who have sufficient authority to provide approval for me
to collect data. These individuals included bank managers from four
different banks. All expressed interest in my study. I contacted individual
bank managers until I had each sign a letter of cooperation.
I sent an introductory email to eligible participants identified by the
gatekeepers after receiving Institutional Review Board (IRB) approval.
Researchers can invite eligible participants to participate in a study by
sending letters via email (Powell et al., 2016). The emailed letter to
participants contained the purpose of the study and a consent form.
Researchers use email as a tool to communicate and recruit participants to
conduct research (Lenters et al., 2014). Participants might participate in
studies if they have a good working relationship with the researcher
(Stühlinger & Hackl, 2014). The
researcher should establish a working relationship with participants by
answering questions participants might have about the research study (Grieb
et al., 2015). Thus, I explained to participants the purpose of the study, the
procedures, the risk and benefits of participating in the study, and the
confidentiality of participants. All participants who met the established
criteria and agreed to participate in the study reviewed and signed a consent
form. The signed consent form was transmitted by email. The consent form
provided the purpose of the study and confirmation that the participant’s
identity and confidentiality would not be compromised. The consent form
also contained information that the individual’s participation in the study
was voluntary.
Research Method and Design
Research Method
McCusker and Gunaydin (2015) identified three broad methods of
inquiry available to researchers: qualitative, quantitative, and mixed
methods. Once a researcher develops a research question, it is essential to
select an appropriate research method (Khankeh et al., 2015). To explore the
strategies to mitigate inherent risk in a retail loan portfolio, I chose a
qualitative research method. Qualitative researchers explore the how and
why of social events involving human experiences (Ingham-Broomfield,
2015). Using a qualitative research method, I gained a better understanding
of the issues studied from the experiences of participants. Adopting a
qualitative research methodology involves systematic textual data collection
and interpretation from interviews or observations (Adhabi & Anozie, 2017;
Khankeh et al., 2015).
Researchers use the quantitative method to examine the relationships
between variables (Ma, 2015). Quantitative researchers use quantifications
to understand the existence of a phenomenon (Bristowe et al., 2015).
Researchers use the quantitative research method to examine quantities,
support judgments, and test hypotheses (Bell et al., 2018). Contrary to the
qualitative method that synthesizes human experiences, researchers use the
quantitative method to examine the relationships among variables (Bell et
al., 2018). The quantitative research method was not suitable for this study
since I did not generate any theories or test hypotheses.
Researchers use a mixed research method to combine techniques from
quantitative and qualitative research methods (Makrakis & Kostoulos-
Makrakis, 2016). The mixed research method is more difficult to perform
(Flick, 2017). Researchers use qualitative and quantitative to understand the
phenomenon under study (Brannen, 2017). Mixed method researchers seek
to gain complex comprehension of a phenomenon (Green et al., 2016).
Hence, I did not select a mixed research method since I did not intend to
include numeric data in this study. I used the qualitative research method to
explore and interpret the experiences of participants. The qualitative method
was more suitable for this study when compared to the quantitative and
mixed methods
Research Design
The main reason for a research design is to guide the researcher in the
process of data collection, analysis, and interpretation (Yin, 2017).
Researchers choose a design that is appropriate to answer the research
question (Khankeh et al., 2015). Qualitative research designs include case
study, phenomenological, case study, and ethnographic (Kruth, 2015).
Case study designs provide an in-depth understanding of a
phenomenon and consist of rich contextual data use to study a real-life
phenomenon (Yazan, 2015; Yin, 2017). A case study design enables a
researcher to explore a single case or a small number of cases in detail by
collecting information from various sources (Nardi, 2018). Researchers use
case study designs to explore the conditions and trends of real-life situations
where the people, place, and process affect those trends and conditions
(Brannen, 2017). Researchers use the case study design to investigate and
analyze a single or collective case in depth to understand the complexity of
the case (Reinharz, 2017). Researchers use case study designs to collect and
interpret data that address the why and how questions (McCusker &
Gunaydin, 2015). Therefore, I used a qualitative multiple case study to
explore strategies to mitigate the level of inherent risk in retail loan
portfolios.
Researchers use a phenomenological design to explore the lived
experiences of a group of people by describing what and how individuals
experience a phenomenon (Bloomberg & Volpe, 2018). Using a
phenomenological design, a researcher seeks to describe the perspective and
interpretation of participants (Veal, 2017). A researcher can use the
phenomenological design to uncover unique experiences from individuals
and to gain access to a phenomenon (Chan & Walker, 2015). Researchers
use phenomenological designs to capture the essence of a phenomenon by
exploring how individuals make meaning of their experiences (Green &
Thorogood, 2018). A phenomenological approach was not suitable for this
study because the essence is not to explore how individuals situate
themselves in the world based on their lived experiences.
In an ethnographic study, researchers explore the shared pattern of a
community or cultural group through their daily lives, behaviors, and
activities (Marshall & Rossman, 2016). Using an ethnographic design,
researchers learn about a particular group of people by immersing
themselves in their lives and activities over time (Cincotta, 2015).
Ethnographic researchers seek to capture the ongoing activities and culture
of a community by engaging with the people and investigating the meaning
they attach to their lives (Bailey & Bailey, 2017). I did not select the
ethnographic design in this study because I was not exploring the culture of
people or community over time. I explored the real-world viewpoints of
bank managers and not the shared beliefs, feelings, or relationships of a
cultural group.
Data saturation depends on the issues under review, the purpose of the
study, participants, research method, and design (Viet-Thi et al., 2016). The
sample should be large enough for the researcher to obtain redundancy of
responses or saturation (Yin, 2017). The research methodology, research
question, and design will dictate when and how a researcher attains data
saturation (Viet-Thi et al., 2016). Exploration of the participants’ responses
until no new information emerged from the discussion will help me ensure
data saturation. If a researcher fails to attain data saturation in a study, the
quality and the content validity of the study may be hindered (Fusch & Ness,
2015). To attain data saturation, I interviewed bank managers until I failed to
identify any new themes, categories, insights, or perspectives from coding.
Population and Sampling
The research population consisted of eight bank managers in four
banks located in San Antonio, Texas, who have demonstrated success in
managing the risk of their retail loan portfolios. Qualitative studies do not
have a commonly putative sample size because the ideal sample is based on
the intent of the study, research questions, and productivity of the data
collected (Barton, 2017). Researchers select participants who can fulfill the
purpose of the research topic and justify the rationale for the inclusion of
participants for the study (Alvesson & Sköldberg, 2017; Robinson, 2014).
The use of selection criteria is a thoughtful decision-making process that
mitigates the risk of producing an inadequate and unmanageable volume of
data (Peace et al., 2018). Participants selected should be willing and capable
of providing relevant information that can respond to the research question
(Mohammed et al., 2016).
For this qualitative case study, I interviewed a purposive sample of
bank managers in San Antonio, Texas, who meet the eligibility criteria.
Purposive sampling used in qualitative research is for the identification and
selection of information-rich cases for the most effective use of limited
resources (Fusch & Ness, 2015). Purposive sampling comprises identifying
and selecting individuals or groups of individuals who are knowledgeable
about or experienced (Palinkas et al., 2015).
Researchers have argued that a small sample size in a study produces
a richer and deeper meaning of participants’ experiences of the problem
(Smith & Smith, 2018).
However, the use of a small sample size might generate a risk of error in the
analysis
(Zhu et al., 2015). To determine the appropriate sample size, a qualitative
researcher considers the point of data saturation (Mohammed et al., 2016).
To select participants for this study, I used purposive sampling as it enabled
me to conduct a qualitative inquiry on information-rich cases that focus on
the research questions. Researchers use sampling to maximize the efficiency
and validity of a study (Palinkas et al., 2015). Researchers use a purposive
sampling technique to select desired participants with specific criteria
(Meutia & Ismail, 2017). Purposeful sampling is a nonrandom process used
by researchers to represent categories of participants (Zhu et al., 2015).
Researchers select sample size based on participants’ knowledge and
expertise necessary to contribute to the study (Palinkas et al., 2015).
Researchers use their judgments in purposeful sampling to select participants
according to the study criteria (Meutia & Ismail, 2017). The purposive
sampling strategy enables researchers to select individuals with unique and
valuable perspectives on the phenomenon in question (Zhu et al., 2015).
Researchers use purposive sampling strategies to select potential participants
with specific criteria for inclusion in the study (Green & Thorogood, 2018).
Moonaghi et al. (2015) used purposeful sampling to select 12 participants
with rich experiences in clinical education for inclusion in their study to
explore nursing student’s experiences of factors influencing clinical
education. In this study, I used purposive sampling to select eight bank
managers of financial institutions with experience in implementing
successful strategies to mitigate the level of inherent risk in retail loan
portfolios.
The bank managers that were select for the study possessed the
knowledge necessary to understand the factors to mitigate the level of
inherent risk in their retail loan portfolios. The size of the sample needs to be
large enough for the researcher to obtain redundancy of responses or
saturation (Yin, 2017). Saturation levels can fluctuate based on elements as
the homogenous level of sampled participants (Fusch & Ness, 2015). In a
qualitative study, researchers used data saturation to determine when the data
collected from the interviews became redundant (Christenson et al., 2016).
The sample for this study consisted of eight bank managers from four
different banks located in San Antonio,
Texas, who have demonstrated success in managing the risk of their retail
loan portfolios. Where there is no required number of participants, the
researcher should be able to justify the inclusion of participants in a study
(Cleary et al., 2014). Robinson (2014) suggested a qualitative case study
sample size to be between three and 16 participants. In order to ensure data
saturation for this study, I followed an interview protocol. Interviewing
knowledgeable participants was helpful in yielding relevant information to
ensure data saturation. Researchers could facilitate saturation by ensuring
that participants selected for their study have relevant skills and knowledge
to the research topic (Fusch & Ness, 2015)
Interview settings can increase or decrease the quality of the
information provided by participants (Cairney & St Denny, 2015).
Researchers have used face-to-face and telephonic approaches to conduct
semistructured interviews (Yin, 2017). I conducted phone interviews with
participants. Each interview lasted approximately 45-60 minutes. With the
participants’ consent, I used a Sony digital voice recorder to audio record the
interviews. I took handwritten notes during the interview as a backup plan
for aiding with accurate transcription. During interviews, the session took
place in an environment that was comfortable for participants and at a
location of their choice that was comfortable
and safe. Participants share more relevant information related to the topic of
research when they feel comfortable and safe during a face-to-face interview
process (Andrades et al., 2015). Distractions can interfere with the flow of an
interview and affect participant concentration and the data collected
(O’Connor, 2015). After the interviews, all identifiable research information,
including consent forms, interview transcripts, and field notes were kept in
an accessible secure safe at my home office. After the study publication, I
will keep all participants' data for a minimum of 5 years, at which time the
paper files will be destroyed by shredding and use a three-pass-overwrite
process for electronic and digital data.
Ethical Research
The primary objective of informed consent is to enable an eligible
participant to agree to participate in a study (Beskow et al., 2015). The
informed consent form outlined a brief description of the study, policies,
procedures, privacy, confidentiality, discomforts, and benefits of being in the
study, and my contact information as the researcher. All the willing
participants read and signed the informed consent form. Researchers must
comply with the ethical standards and conform to the three basic ethical
principles for research outlined in the Belmont Report, including respect for
individuals, beneficence, and justice (U.S. Department of Health and Human
Services, 2016).
Each participant received a unique number to maintain confidentiality,
such as A1, B1. I conformed to the requirements of Walden University’s
IRB guidelines to safeguard the well-being of participants. In a situation
where the participant chooses to withdraw from the study, I provided
him/her with the interview notes and the audio recording to destroy.
Researchers must respect an individual’s decision to withdraw from a study
(LeVine, 2018). An individual’s participation in research is voluntary, and
the right to withdraw is a central tenet of research ethics (LaRossa &
Bennett, 2018). I informed participants that they are free to withdraw at any
point during the study without consequences. The invitation to participate
included the process for participants to withdraw from the study. I informed
participants to contact me by phone or email if they decided to withdraw
from the study. No participant withdrew or declined to participate in the
study.
The participants of this study did not receive any compensation for
their participation. Researchers can choose not to provide incentives to
interviewees during the data collection process (Steinmeier, 2016). I ensured
participants understood that their participation in the study was voluntary
and would receive no incentives or compensation to take part in the research.
However, I emailed the participants a summary of the results.
I provided the participants with information about the member
checking procedures that researchers use to ensure the reliability and validity
of the data. Member checking involves the researcher giving his/her
interpretation of the participants’ answers to the interview questions back to
the participants for validation purposes (Fusch & Ness, 2017). With member
checking, the researcher interprets what the participant shared and then
shares the interpretation with the participant for validation (Lub, 2015). The
member checking follow-up interview can help the researcher reach data
saturation through obtaining in-depth information and enhance academic
rigor (Thomas, 2017). A copy of the summarized interview was provided to
the participants by email for review before analyzing the data. Member
checking is an essential way that qualitative researchers can take to ensure
the credibility of a study’s findings (Fusch & Ness, 2017).
Researchers can convert the real identity of a research participant into
fake identities to protect the confidentiality of the participant (Bromley et al.,
2015; Yin,
2017). During the study, I kept the names of participants confidential as
required by the IRB. I assigned numbers and initials to participants to
maintain their privacy and confidentiality. Protecting the confidentiality of
participants was paramount at all times during the gathering, storage, and
analysis of data (Yin, 2017). I assigned numbers and initials to participants
to maintain their privacy and confidentiality. Protecting the confidentiality of
participants is paramount at all times during the gathering, storage, and
analysis of data (Yin, 2017). I labeled participants as A1, A2, B1, B2, C1,
C2, D1, and D2. Researchers should protect the rights of participants and
respect their privacy during the research process (Thomas, 2017). Thomas
(2017) noted that all data, including (a) the participant alphanumeric code
sheet, (b) voice recordings of interviews, and (c) digital and electronic files,
will remain in a secured locked location for 5 years after the completion of
this study. After the 5-year period, I will destroy all data by shredding and
use a three-pass-overwrite process for electronic and digital data. The IRB
approval number for this study is 04-10-20 0508984.
Data Collection Instruments
The researcher was the primary data gathering instrument in this case study.
Therefore, I served as the primary instrument to collect data. A case study
design encompasses the use of multiple sources of data to explore case
specifics (McKenney & Reeves, 2018). There are six potential sources of
data, including documentation, archival records, interviews, direct
observation, participant-observation, and physical artifacts (Yin, 2017). I
employed semistructured interviews, reviewed risk policy documents,
procedures, and Form 10K to explore the strategies to mitigate the level of
inherent risk in their retail loan portfolios.
Qualitative researchers collect data by conducting face-to-face
interviews using journals, voice recorders and observing participants’
behavior during the interview process (Voelkel & Henehan, 2016).
Semistructured interviews facilitate the flexibility of qualitative data
collection while at the same time offering more standardization than in
naturalistic or unstructured interviews (Green et al., 2016). Semistructured
interviews are typically exploratory, while structured interviews are more
likely to be quantitative and confirmatory (Green et al., 2016).
Researchers collect different types of data depending on the research
method. Qualitative researchers collect data through semistructured
interviews (Stevens, 2017). I collected data by conducting phone interviews
with participants and reviewed risk policy documents, procedures, and Form
10K. The interviews include open-ended interviewed questions that
encourage the exchange of follow-up questions to understand interview
questions and responses better. Qualitative researchers use semistructured
interviews to have in-depth conversations with interviewees and guided by
the participant’s perceptions, opinions, and experiences (Cridland et al.,
2014). Researchers semistructured interviews with follow-up questions and
informal conversational interviews as the primary form of data collection in
qualitative research (Hedlund et al., 2015).
Researchers using semistructured interviews have the flexibility to
focus on issues that are related to the central research purpose and
participant’s experiences (Cridland et al., 2014). I conducted phone
semistructured interviews using open-ended questions to explore strategies
bank managers use to mitigate the level of inherent risk in retail loan
portfolios. With permission from participants, I recorded the interviews to
ensure I capture and retain details of information for further analysis. Each
interview lasted between 45 to 60 minutes. In-depth individual
semistructured interviews can elicit rich information about participant’s
experiences and may lead to spontaneity, flexibility, and responsiveness to
individuals (Brannen, 2017).
The use of triangulation increases the credibility of research (Ashatu,
2015). Researchers use triangulation during research to develop a
comprehensive understanding of a phenomenon by collecting richer and
more comprehensive data (Wilson et al., 2018; Yin, 2017). Denzin (1978)
noted methodological triangulation is used to check the consistency of
findings generated by different data collection methods, thus increasing
study validity. Kern (2018) confirmed triangulation using multiple methods
of data collection, including data from interviews, reflexive journal notes,
and scientific literature. I triangulated multiple methods of data collection,
including interviews, risk policy documents, procedures, and Form 10K. I
used methodological triangulation to check for consistency of findings from
a variety of data collection methods.
Qualitative researchers use member checking as a technique to
increase the accuracy of the findings (Marshall & Rossman, 2016). In this
study, I used member checking after conducting the interviews to increase
the reliability and validity of the data collection process and to enhance the
accuracy of the findings. In member checking, a researcher asks selected
participants to review the researcher’s interpretation of what was said during
the interview (Fusch & Ness, 2017). I conducted member checking by
summarizing my interpretation of each interview and asking participants to
review my summary. I emailed my summary to participants and asked each
to review, clarify any issues, and correct incomplete and incorrect
information. I recorded pertinent information from risk policy documents,
procedures, and Form 10K into field notes. I uploaded all the notes in NVivo
to help identify patterns and themes.
The perspectives of qualitative research include credibility and
trustworthiness, given that the researcher is the primary data collection
instrument (Kern, 2018). Semistructured interviews are guided conversations
in an effort to produce consistent participant responses (Benia et al., 2015).
To gain access to reliable information and reduce bias, researchers use
reliable academic journals and databases (De Ceunynck et al., 2017; Yin,
2017). Using an interview protocol provides a researcher with a systematic
approach designed to increase the amount of relevant information that can be
obtained from the interviewee (Benia et al., 2015). By using an interview
protocol (see Appendix A) structured along the lines of strategies to mitigate
the level of inherent risk in loan portfolios, I standardized the interviews to
minimize bias and enhanced information accuracy.
Data Collection Technique
Researchers apply data collection techniques by performing related
activities to gather relevant information during the data collection phase
(Jarkas & Horner, 2015). Qualitative researchers collect data by conducting
in-person interviews and reviewing records related to the phenomenon of
interest (Noble & Smith, 2015). The data collection technique for this study
included conducting phone semistructured interviews with participants,
review risk policy documents, procedures, and Form 10K. The advantages of
semistructured phone interviews are (a) the researcher can clarify questions
that the participants may not understand, (b) less costly to the researcher, and
(c) saves time for the participants and researcher (Comi et al., 2014).
Another advantage of semistructured phone interviews has the option to
schedule or, in some cases, reschedule interviews with limited disruptions
with the participants (Agran et al., 2016). A disadvantage of semistructured
phone interviews is the difficulty in connecting and building rapport with the
participants (Agran et al., 2016). Another disadvantage of a semistructured
phone interview is that the participant could unilaterally terminate the call
without any warning by simply hanging up the phone (Topić, 2020).
Researchers use semistructured interviews to encourage follow-up
questions and responses to ensure the information gathered is accurate
(Munn et al., 2016). Researchers conduct semistructured interviews to
investigate participant’s views and perceptions on the central research topic
(Brannen, 2017). I conducted semistructured interviews using open-ended
questions to explore strategies to mitigate the high level of inherent risk in
the retail loan portfolio. Before conducting interviews, I requested
permission from participants to audio record the interviews. All participants
who met the established criteria and agreed to participate in the study
reviewed and sign a consent form. The informed consent form includes
information relating to the purpose of the study, a statement that the
researcher will not compromise the participant’s identity, and that
participation in the study is voluntary (Lieberman & Lohmander, 2016).
Semistructured interviews provide researchers with the flexibility to
focus on issues that are meaningful to participants by minimizing researcher
control over participant’s expression of their experiences (Cridland et al.,
2014). Researchers use semistructured interviews to stimulate familiarity
with participants and gain a unique understanding of the phenomenon
studied (Cridland et al., 2014). Qualitative researchers can obtain data for a
study using semistructured interview forms consisting of openended
questions (Yurdakul, 2015). Researchers use open-ended questions as a
guide to get information and to encourage participants to elaborate on
specific topics and perspectives.
Researchers use member checking as a validation technique to explore
the credibility of results (Harvey, 2015; Lub, 2015). Member checking is a
strategy researchers use to return data to participants to check for accuracy
and resonance with their experiences (Harvey, 2015). The member checking
process encompasses a range of activities, including (a) returning the
summarized interview transcript to participants, (b) a member check
interview using the interview transcript data or interpreted data, or (c)
returning analyzed synthesized data (Harvey, 2015; Lub, 2015).
Member checking is also the process in which participants can correct
inaccuracies and interpretations (Comi et al., 2014; Harvey, 2015). Through
member checking, I gained more clarity of data the participants provided. I
used member checking to confirm data dependability by comparing data
captured during and after the interviews. I received feedback and validation
from each participant about the data collected in the follow-up interviews.
Data Organization Technique
A researcher brings structure and order to the management and
organization of data from field notes, interviews, memos, and documents
(Malagon-Maldonado, 2016). Data organization refers to the separation of
data into controllable pieces that researchers can analyze for perceptiveness
related to research questions (Fusch & Ness, 2017). Qualitative researchers
use data collection techniques to reduce the risk of misinterpreting data
collected from participants (Yin, 2017). Researchers should use an easy
retrieval system to organize data for analysis and to adapt pre-defined
categories during the analysis phase if necessary (Cox, 2018).
According to Alaba et al. (2017), researchers use an organizational
process to protect the privacy of participants. Procedures that maintain data
accuracy and provide confidentiality are crucial to data organization
(Romanou, 2018). I identified and organized the assigned alphanumeric
codes from the electronic and hard files related to each participant and
organization. The first digit identified the organization, and the number will
identify the participants within the organization. During the interviews, the
organizations will be labeled A, B, C, and D and the participants assigned
the numbers 1, 2, or 3. The numeric code will be written as A1, A2, B1, B2,
C1, C2, D1, and D2. etc.
Procedures that maintain data accuracy but provide for confidentiality
are crucial to data organization (Keys, 2014). I remained the only person
with information to decipher the alphanumeric codes. I identified and
organized the assigned alphanumeric codes from the electronic and hard
copy files related to each participant. Electronic and hard copies will remain
locked in a secure location for 5-years in my home office following the
conclusion of the study. A researcher should destroy data, which includes
any electronic, digital, audio, and hard-copy data, by shredding and
conducting a threepass overwrite for electronic and digital data (White et al.,
2017). As the only individual who will have access to this secure location,
after the 5-year period, I will personally destroy all data. All the paper files
will be shredding and use a three-pass-overwrite process for electronic and
digital data.
Data Analysis
Data analysis is a process used by researchers to arrange, assess, and
interpret all data collected during the gathering process (Yin, 2017).
Qualitative data analysis stages encompass the preparation, collection,
organization, and transcribing of the information collected (Cridland et al.,
2014). Percy et al. (2015) and Saldana (2009) suggested steps for data
analysis and theme identification summarized as follows (a) carefully read
and examine each transcript, (b) highlight to identify the relevant sections to
the research questions, (c) synthesize relevant phrases and words (codes) to
form the common concepts from each transcript, (d) review the codes and
common concepts across transcripts, (e) create a matrix of the significant
common concepts, (f) compare and contrast the concepts from each
transcript, (g) analyze and interpret the significant common concepts to form
themes and subthemes, and (h) categorize the themes of the concept to
support the research question. Researchers use methodological triangulation
when collecting data from various sources such as interviews,
questionnaires, surveys, and documents (Marshall & Rossman, 2016). For
this qualitative study, I used methodological triangulation. I gathered
information from phone interviews, field notes, annual reports, risk policy
documents, procedures, and Form-10K. Based on the accumulated data, I
identified the emergent themes.
The data coding consists of keywords based on standard terms that
emerged from analyzing transcripts. The collection and analysis of data
should coincide, as one part cannot be strictly separated from the other (Cox,
2018). Qualitative researchers should analyze data systematically by
providing a clear and detailed explanation of the data analysis process
(Keith, 2017). The process of data analysis starts immediately after a
researcher conducts the first interview and continues until data saturation is
attained (Cox, 2018). Researchers should have a strategy to capture the rich
insights of qualitative interview data and make sense of the data that is
relevant to the research question (Yin, 2017). I analyzed the data collected
from interviews by reading and rereading the data collected while reflecting
on what I read to grasp the general themes from the transcripts. In the data
analysis process, I transcribed every interview along with field written notes
in Microsoft Word document and uploaded them to NVivo. I read through
the transcripts and field written notes while identifying codes and linking
significant segments to appropriate themes. To facilitate member checking, I
requested participants to correct inaccuracies and challenge incorrect
interpretations. After collecting field notes on annual reports, risk policy
documents, procedures, and Form 10K, I transcribed interviews and field
written notes. Publicly available information included yearly Form 10K. I
applied codes to the texts as concepts became apparent. Next, I combined
related concepts into categories and themes.
Qualitative researchers can combine related concepts into categories
and group them into themes to summarize key ideas and experiences
discussed by participants (Riera et al., 2015). Qualitative researchers can
derive meaning from data collected by interpreting data (Lynch et al., 2016).
The use of member checking ensured the accuracy and validity of the
research findings. Lastly, I wrote-up the results of this study.
Researchers may use computer applications to analyze data
(Sotiriadou et al., 2016). Qualitative analysis software facilitates data
organization (Riera et al., 2015). To facilitate data analysis, I used a
qualitative computer software program. The data analysis software supports
researchers in systematically coding and organizing data and managing the
development of categories and themes (De Massis & Kotlar, 2014;
Sotiriadou et al., 2016). Qualitative data analysis software includes NVivo,
HyperRESEARCH, ATLAS.ti, and Leximancer (Yin, 2017). The NVivo
software is user-friendly and supports researchers in collecting, organizing,
and analyzing different types of data for patterns and themes (Blaney et al.,
2016; Castleberry, 2016). Researchers use the NVivo software to apply text
search functions that save time in analyzing data (Blaney et al., 2016;
Brennan & Bakken, 2015). I used NVivo in this study to organize and
manage the qualitative material to help to identify themes.
Researchers may use the process of thematic analysis to describe
patterns of meaning combined into themes (Pascoal et al., 2016).
Researchers use the thematic analysis method to analyze literature and
identify important and recurrent themes (Teruel et al., 2016). By reviewing
and comparing interview transcripts, I identified key common themes. I
triangulated the common themes identified from the transcripts by reviewing
company documents supporting the themes. One popular strategy for
qualitative data analysis involves themes identification from repeated words,
phrases, signs, or symbols (Hennink & Kaiser, 2020). Researchers use the
thematic analytic process to read the data several times and to identify and
organize emerging themes related to the research question (Rohlfing &
Sonnenberg, 2016). Therefore, I used thematic analysis to detect and
organize emerging themes.
Identifying critical themes from research that are framed with a
conceptual framework is vital to qualitative research (Cridland et al., 2014).
For example, Beeton et al. (2019) linked case study results to a conceptual
framework. Data analysis involves aligning data with prior research,
including research related to the conceptual framework (Beeton et al., 2019;
Pascoal et al., 2016). In a qualitative study, researchers seek alignment
between evidence and conceptual framework used in their research
(Sotiriadou et al., 2016). In conducting a literature review, researchers can
establish a conceptual basis for supporting research evidence. I linked the
research data, literature, and the ERM framework to support the study in my
analysis. While analyzing the collected data, I continually referred to the
ERM framework, prior studies, and research published since completing my
proposal.
Reliability and Validity
Reliability and validity are the most relevant standards of research and
can be used to establish the quality of findings (Gheondea-Eladi, 2017; Yin,
2017). The validity and reliability of a study ensure that researchers achieve
the highest quality of research and peers perceive the findings as trustworthy
(Kern, 2018). In assessing the reliability and validity of a qualitative study, a
researcher can use the following criteria (a) dependability, (b) credibility,
and (c) confirmability (Kaczynski et al., 2016; Yin, 2017). Researchers can
use member checking to enhance the validity and reliability of study findings
(Thomas, 2017). Member checking is defined as a quality control process
where researchers seek to improve the validity, accuracy, and credibility of
the recorded information during a research interview (Harper & Cole, 2017).
I used member checking and methodological triangulation to establish
reliability, credibility, and validity in this study.
Reliability
Qualitative researchers incorporate strategies to ensure consistency of
the analytical procedures and personal and research biases that may
influence the study findings (Noble & Smith, 2015). Dependability is the
extent that the study could be repeated by other researchers and that the
findings would be consistent (Munn et al., 2016). A qualitative researcher
can use an inquiry audit in order to establish dependability and or an outside
person to review and examine the research process and the data analysis in
order to ensure that the findings are consistent and could be repeated
(Connelly, 2016).
To increase the confidence in the findings of a qualitative study,
researchers can establish dependability if the research process is logical,
traceable, and documented clearly (Munn et al., 2016). The concept of
dependability aligns with the quality of the study (Munn et al., 2016). I used
member checking in this study to enhance the quality of the findings. To
improve the quality of findings, I employed member checking by sending
each participant an email to validate my interpretation of the data collected
during interviews.
Theron (2015) discussed the use of member checking by researchers
to ascertain that they accurately exhibit what the participants have conveyed
to enhance the reliability of the findings. The validity and reliability of this
study increased by using the process of triangulation to develop a
comprehensive understanding of the study phenomenon. The process of
methodological triangulation enables researchers to use multiple methods or
data sources to converge information (Lee, 2018). Therefore, I utilized
multiple data sources to collect information to enhance the reliability and
validity of the study findings as multiple data collection techniques phone
interviews, annual reports, risk policy documents, procedures to collect data.
Validity
Gheondea-Eladi (2017) referred to reliability and validity as the most
significant standards for a study. Validity refers to how accurate the findings
of a study reflect the data (Noble & Smith, 2015). A researcher can establish
the validity of a research finding by maintaining reliability (Aravamudhan &
Krishnaveni, 2016). To establish the validity of a study, a researcher can
ensure credibility, transferability, and confirmability
(Connelly, 2016; Yin, 2017).
Credibility
Credibility is how confident the qualitative researcher is in the truth of
the research study’s findings (Connelly, 2016). By providing summarized
participants’ interview notes and receiving feedback, researchers can add
credibility and validity to study findings (Thomas, 2017). Since the
participants were the only ones who could legitimately judge credibility, it
was incumbent that they are able to thoroughly inspect their responses and
enhance or correct them as needed.
Qualitative researchers can use triangulation to show the research
study’s findings are credible. Researchers use member checking to enhance
the validity of findings (Thomas, 2017). Connelly (2016) proposed member
checking and reflective journaling as techniques a researcher can use to
establish credibility in a finding. The use of member checking is appropriate
to ensure the credibility of a study (Yin, 2017). A researcher can use member
checking to gain additional insight into a phenomenon of study (Kornbluh,
2015). To enhance the credibility of this study, I summarized participants’
interviews and sent my summarized notes by email to participants to validate
the accuracy of the interpretation of the interviews and adjust the themes
based on participant perspectives and feedback.
Transferability
Transferability refers to the extent to which a researcher can transfer
the findings of a study to another context, place, time, people, and setting
(Gheondea-Eladi, 2017). Transferability is how the qualitative researcher
demonstrates that the research study’s findings are applicable to other
contexts (Thomas, 2017). A researcher can facilitate transferability by
providing a detailed and precise description of the inquiry and study
participants (Anney, 2015). Readers and researchers use transferability to
determine how well a research context fits other contexts (Gheondea-Eladi,
2017). Transferability is established by keeping accurate records of the
participant’s data and the use of credible and reliable peer-reviewed sources
to ensure the research context relates to the overall scope of the study
(Anney, 2015). In this case, “other contexts” can mean similar situations,
similar populations, and similar phenomena. Qualitative researchers can use
thick description to show that the research study’s findings can be applied to
other contexts, circumstances, and situations (Gheondea-Eladi, 2017). In a
qualitative study, transferability is achieved through thick descriptions
supported with purposeful sampling to ensure representative sampling and
data saturation (Thomas, 2017). To increase transferability for this study, I
provided a valuable, rich, and exhaustive explanation of research ethics, data
collection, participant criteria, and sampling techniques, which might be
relevant to future qualitative researchers. I included a substantive review of
academic literature, the research phenomenon, and my data analysis to
ensure comparison to other possible contexts to which readers and future
researchers may contemplate a transfer.
Confirmability
Confirmability is the degree of neutrality in the research study’s
findings (Elo et al., 2016). Kaczynski et al. (2016) referred to confirmability
as the neutrality of findings in a study and not the researcher’s biases or
perspectives. This involves making sure that researcher bias does not skew
the interpretation of what the research participants said to fit a specific
narrative. To establish confirmability, qualitative researchers can provide an
audit trail, which highlights every step of data analysis that was made in
order to provide a rationale for the decisions made (Anney, 2015; Connelly,
2016). This helped to establish if the research study’s findings accurately
portray participant responses. A researcher can use multiple data collection
methods to explore a phenomenon in methodological triangulation (Fusch &
Ness, 2017). Thus, I used methodological triangulation to ensure
confirmability.
Data Saturation
Data saturation occurs when the researcher fails to identify any new
(a) themes, (b) categories, (c) insights, or (d) perspectives for coding. The
data saturation process involves the identification of (a) themes, (b) thematic
definitions, (c) categories, and (d) coding based on the participants’
responses (Fusch & Ness, 2015). Data saturation enhances the quality of a
study and the validity of the content (Barton, 2017). Where the sample size
is small, additional interviews might be necessary to ensure that the
researcher achieves data saturation (Marshall & Rossman, 2016).
Researchers can focus on data saturation to enhance the validity of a study
(Hancock et al., 2016). For this study, I achieved data saturation by asking
participants to clarify their responses during interviews and continued to
interview until the information in the transcripts became redundant.
Transition and Summary
Section 2 provided a detailed description of the methodologies and
strategies of the study. I started Section 2 with a restatement of the purpose
statement as presented in Section 1. Included in Section 2 is the role of the
researcher, data collection techniques, and data analysis. I also described the
research method, research design, and population, and sampling. Also, in
Section 2, I outlined how I established reliability and validity for this study.
In Section 3, I present the findings and the application of professional
practice. I discuss the implications for social change, recommendations for
action, further research, reflections on the research process, and a
conclusion.
Section 3: Application to Professional Practice and Implications for
Change
Introduction
The purpose of this qualitative multiple case study was to explore
strategies bank managers use to mitigate the level of inherent risk in their
retail loan portfolios. The targeted population included eight bank managers
from four different banks located in San Antonio, Texas, who had
implemented successful strategies in managing the risk of their retail loan
portfolios. Through an analysis of data collected through interviews, review
of annual reports, risk policy documents, procedures, and Form 10-K, four
themes emerged.
Presentation of the Findings
The research question for this study is: What strategies do some bank
managers use to mitigate the level of inherent risk in their retail loan
portfolios? To answer this question, I interviewed eight bank managers over
the phone from four different banks. To protect the confidentiality of the
participants, I labeled participants alphanumerically as A1, A2, B1, B2, C1,
C2, D1, and D2. The letter identified the organization, and the number
identified the participants within the organization.
Each semistructured interview consisted of seven interview questions.
Each interview lasted 40 to 50 minutes. I gathered information from phone
interviews, annual reports, risk policy documents, procedures, and Form–
10K. I analyzed the data collected from interviews by reading and rereading
the data collected while reflecting on what I read to grasp the general themes
from the transcripts. In the data analysis process, I transcribed every
interview along with field notes in a Microsoft Word document and
uploaded them to NVivo. I read through the transcripts and field notes while
identifying codes and linking significant segments to appropriate themes.
Through member checking, I requested that participants correct inaccuracies
and challenge incorrect interpretations.
After collecting field notes on annual reports, risk policy documents,
procedures, and Form-10k, I applied codes to the texts as preliminary themes
emerged. I organized the narrative segments from the documentation based
on these preliminary themes. Next, I combined related concepts into
categories and themes. I used NVivo to help organize, sort, classify, and
analyze non-numerical or unstructured data. Four themes emerged through
data analysis: (a) know your customer, (b) business knowledge and
continuous improvement, (c) enhance credit analytics, and (d) the use of
technology.
Theme 1: Know Your Customer
All participants interviewed indicated that knowing your customer is
an integral part of the credit risk management process to mitigate the level of
inherent risk in retail loan portfolios. According to Mittal et al. (2015),
financial institutions can sustain growth and profitability by knowing their
customers and delivering superior customer service in an exceptional manner
that surpasses customer needs, leads to customer satisfaction, and enhances
competitiveness. One of the most valuable business assets is consumer data
(Chen & Fong, 2015). Participants acknowledged the importance of knowing
the different segments of customers that request retail loans to manage better
and mitigate the level of inherent risk in their loan portfolios. According to
Li et al. (2018), firms can introduce a greater variety of products to attract
new consumers with heterogeneous
tastes and induce consumers to switch from competitors while maintaining
an effective control environment.
Participants noted that bank managers should work on mandatory
verification of new and existing customers’ credentials to prevent and
mitigate loan default and money laundering. A1, A2, and E2 emphasized the
importance of knowing your customers to understand better the kind of
financial advice, products, and services they need. Participant A1 stated
“Know your customer is an integral part of the risk management process and
forms the basis for all subsequent steps in the lending process.” Participant
A2 stated “It is essential to collect pertinent, accurate, and timely
information to establish a stable client relationship.” Participant E2
suggested “without a good understanding of our customer base, it will be
difficult to determine their needs.”
During the interview, A2 gave me a walkthrough of the analytical tool
used to gather personal information on their customers to make efficient and
effective loan decisions better. The participant works with credit score
companies to gather relevant information they use to upload to the analytical
tool to run algorithms and risk profiles of customers. Based on the risk level
determined by the analytical tool, management can decide to further review
loan applications or outsource the application to a third party.
Participants also emphasized that knowing the customers better
positions loan managers to understand their needs and the type of products
most suitable to them.
Participant A1 stated,
I know most customers are shopping for loans with a low interest rate
to use them to pay off other existing debt or to fund a large purchase.
Customers really want a better experience and more control over how
they manage their finances, including debt.
Similarly, E1 responded “my job gets easier when I create a personal rapport
with the customers.”
Banks can differentiate from other competitors by competing on
having the best services and quality. Banks can achieve effective control
environments by investing in products or services that offer unique qualities
desirable to customers (Bogodistov & Wohlgemuth, 2017). A1, A2, B1, B2,
and C1 admitted that they encourage bank employees to provide outstanding
customer service and dig deep to know their customers to address their
individual needs. Participant A2 stated “I encourage my employees to work
diligently to know their customers and their needs.” Participant B1
responded “I work to align our customers' profile to their needs and verify
for any anomalies by running a stress test on their profiles.” Participant B2
suggested that understanding customers' financial habits and health are very
critical to managing risk. Participant C1 stated “Incredible customer service
is key to their success.” Participant A1 responded
“the customer is king to the success and failure of a bank.”
This finding supports the ERM framework that knowing your
customers is vital to banks' control environments and the services and
products offered. Malelak and Pryscillia (2020) stated ERM helps enable the
banks to successfully grow the business and customer base in alignment with
their mission. The focus on ERM helps drive value creation by enabling
management to respond into prompt, efficient, and effective manner to
future events that create uncertainty and represent significant threats or
opportunities
(Ratri & Pangeran, 2020). No field note was used to arrive at this theme.
Theme 2: Business Knowledge and Continuous Improvement
The importance of having business knowledge in the bank industry
was prominent in interviews with all the participants. Five participants
expressed the importance of understanding the industry, including
customers, customer needs, and the products and services provided. B2
stated that “knowing the business and the products offered is critical to the
success or failure of the bank. I work continuously to improve the
knowledge of my team and emphasize continuous knowledge improvement.”
Participants’ responses supported the findings of Zhao (2016), who noted
that in the current knowledge-based economy, intangible resources of
knowledge, organizational learning, market image, and organizational
culture are some of the most valuable and competitive resources. Participants
highlighted that bank managers and senior executives could use the
knowledge gained from prior loan review experience to create value and
effectively manage risk. C1 stated “Based on the risk analysis response from
analyzing an application, bank managers can better analyze systemic risk
based on prior experience.” Otubanjo (2018) suggested that banks can
develop and implement service strategies by providing adequate training to
staff to ensure consistency in the delivery systems and enhance customer
service.
Lonial and Carter (2015) suggested that robust risk assessment
methodologies add value to a bank and are part of the organization’s base of
knowledge and information. Managers should enable access and sharing of
information across departments by establishing relationships and obtaining a
shared understanding without delay and distortion (Dubey et al., 2018).
Participants indicated that a well-written and descriptive credit policy is the
cornerstone of sound learning. A1 stated “It is essential to maintain and
continuously update credit policies to adhere and learn from the process.”
Participants acknowledged that bank managers should also clearly
articulate the vision, values, and beliefs that guide that institution’s lending
activities. C2 stated “it is critical for bank managers to emphasize their
vision, values, and objectives to guide their lending practices.” Gupta (2016)
suggested that firms can promote and reward employees that provide
exceptional quality services to customers. A good leader should know how
to use lending techniques and maintain a positive attitude in a competitive
industry (Barley, 2015; Chen & Fong, 2015). Participants discussed how
being a good role model and leading by example is essential to motivate
employees to work harder and treat customers with care and respect.
B1stated that “a strong risk management culture can only be created when
the board of directors is not afraid to challenge management and is involved
in facilitating this culture throughout the organization, without assuming
responsibility for running the bank.” A further review of participating annual
report revealed policy statements and actions which support the case for
business knowledge and continuous improvement. Bank managers continued
to emphasize the need for updated policies and continuous improvements in
the 10Ks and policy documents. On reviewing management discussion and
analysis of financial condition and results of operations in the entities 10K, I
identified them stress the importance of robust policies and continuous
improvements.
The theme of business knowledge and continuous improvement aligns
with the ERM framework. In the context of the ERM framework, continuous
improvements could reduce the inherent risk in retail loan portfolios (Berry‐
Stölzle & Xu, 2018). Delivering consistency between leadership, employees,
and alignments with other processes is essential for banks in developing risk
culture (Mohtashami & Ghiasvand, 2020).
Relationships between management and employees with coordination among
other departments on ERM implementation can develop banks' risk-averse
environments (Orabueze et al., 2020). The internal environment sets the
foundation for how risk is viewed (Tomas et al., 2017). In a work
environment, the ERM framework could include educational training and
continuous improvement for employees to understand the business and
improve its business processes (Gupta, 2016).
Theme 3: Enhance Credit Analytics
Six participants recognized that establishing a banking relationship
and granting loans is associated with various advantages and risks. Credit
risk management solutions required the ability to secure, store, categorize,
and search data based on various criteria. Participants discussed the need for
any database to be updated in real time to avoid potential outdated
information and be keyword optimized to ensure the easy location of
information. D1 stated “the accessibility with real-time information makes it
easy to decide on an application.” Participants acknowledge that a full and
comprehensive risk assessment scorecard should quickly identify strengths
and weaknesses associated with a loan. B2 stated,
Robust stress-testing capabilities and model management that spans
the entire modeling lifecycle are key to ensuring accurate risk
assessment. We use data analysis to come up with the best available
situation on each given loan application. We all work with external
vendors to run those analyses based on the information they have
collected on a customer. As the manager, I require data analysis
presented in an intuitive, clean, and clearly visualized way. Stripping
away irrelevant data, analysts and IT professionals can help zero in on
the most patent information for the decision-making process on loans.
B1 revealed that it is common to find different data definitions among
business, IT, and risk units. Users do not always follow data set naming
conventions, so it is hard to find the right data set, understand its purpose, or
be sure which is the most recent one. Data updates may be sporadic, and data
quality might be below par. In addition, D2 indicated,
A useful credit risk model is very vital to manage loan portfolios
successfully. In this digital age, we have been conditioned to produce
speed and precise business results using data analytics and big data.
Many banks still use highly manual processes for loan underwriting,
subject to human bias and inconsistency that lead to poor decisions
and underperforming loans. Banks that make more accurate credit
decisions models will maximize revenue and minimize default.
I also reviewed the 10K report for companies A, B, C, and D. Based
on my review, both companies' charge-off late payments for consumer loans
were relatively low. During my interview, A1, B2, and C1 gave
walkthroughs of their respective analytical software works. Participants
described how they get personal credit information from credit report
companies based on a prescribed criterion. This information is then entered
into a software tool that analyzes individual profiles as low, medium, or high
risk.
Dubey et al. (2018) suggested that firms operating in competitive
environments should have the ability to respond quickly to external changes
and share information effectively using technology. The participants’
responses indicated the importance of enhanced credit analysis and big data
to create and build models on customer profiles to predict their preferences,
risk level, and tolerance. D2 stated that: “enhanced credit analytics and the
use of third-party company make the loan review process fast, efficient and
effective.”
In the context of the ERM framework, enhance credit analytics such
as the ability to secure, store, categorize, and search data based on a variety
of criteria could mitigate the risk of granting loans with a higher risk of
default. ERM is not a process to eliminate risk or to enforce risk limits,
instead encourage banks to take a broad look at all the risk factors,
understanding the interrelationships among those factors, define an
acceptable level of risk, and continuous monitoring areas to ensure that the
risk defined threshold is achieved (Tittle, 2018). In other to remain relevant
and financially successful in the face of a growing competitive banking
environment, enhance systems and continuous modification in credit
analytics are vital to combat risk and uncertainty in banking activities
(Naseem et al., 2020). Jean-Jules and Vicente (2020) stated banks that
embrace ERM and enhanced credit analytics today would be positioned to
respond quickly to unforeseen circumstances in the future.
Theme 4: The Use of Technology
Participants acknowledged that leveraging technology and the internet
is essential to the success of implementing and mitigating risks in retail loan
portfolios. Participants indicated that by leveraging modern technology,
banks have made daily interactions with their customers frictionless and
effortless, from monitoring and evaluating customers’ accounts to gaining
access to valuable information. Five participants supported this theme. C2
stated “with the advent of advanced technology, interaction with clients and
understanding their needs have been effortless. We can easily monitor
customers’ accounts to understand their risk profiles and other valuable
information. All participants disclosed that cloud integration provides
immediate access to relevant data sources for credit, employment, identity,
and income verification without the burden of costly, protracted
programming. A1 stated “cloud computing technology is disruptive and a
gamechanger to the banking sector.” B2 noted “our bank is fast transitioning
to the cloud space for data management and storage.” Cloud integration
reduces the need for manual verification and results in faster application
processing (Bilgihan & Wang, 2016). Tileaga et al. (2016) suggested that
firms can gain market share, control, and competitiveness by using
information technology to market products to internet users and effectively
manage risk (Tileaga et al., 2016). Firms can use technology to enhance their
service quality and deliver superior services that improve performance and
increase profitability (Pantano et al., 2018). All participants disclosed that
cloud integration provides immediate access to relevant data sources for
credit, employment, identity, and income verification without the burden of
costly, protracted programming. A1 stated “cloud computing technology is
disruptive and a gamechanger to the banking sector.” B2 noted “our bank is
fast transitioning to the cloud space for data.” C1 stated “automation and
technology accelerate lending processes and facilitates consistency in
decisions.” C2 noted “automated decision rules enable lenders to eliminate
manual steps, replacing them with data-driven processes.” D2 stated “cloud
computing and AWS services make processing time more efficient and
effective.”
Participants noted that technology and software updates on the cloud
are fast and frequent, allowing lenders to immediately take advantage of bug
fixes and functional improvements made in response to customer requests.
Participants acknowledged that they use technology to strengthen the
enterprise and streamline the loan process to mitigate risk. A2 stated
“technological advancement plays an important role for the entire enterprise
and helps in streamlining the loan process,” Technology and application
present new opportunities for banks to increase digital engagement through
popular emerging channels (Kulathunga et al., 2020). Customers' access to
digital tools enables community banks to keep up with big banks and rivals
(Anton & Nucu, 2020). Dubey et al. (2018) suggested that firms operating in
control environments should have the ability to respond quickly to external
changes and share information effectively using technology.
Participants noted that by digitizing and automating actions within the
credit process, the solution speeds up the time it takes to process loan
applications more efficiently and effectively. Technology improves data
integrity through the integration of external and internal systems and data
sources. A1 stated “Loan officers and underwriters use standardized
analytical software to speed up the verification and approval process with the
help of data integration.”
Employing technology improves efficiency, manages credit risk, and
gains a competitive advantage. Technology helps streamline the credit
analysis process, share credit risk information efficiently among
departments, and deploy technology-based learning. During the
walkthrough, A1 explained to me a test on how the analytical tool works. A1
stated “we depend on third party credit companies’ information on loan
applicants for review and analysis.” In the ERM framework, the use of
technology plays a significant role in mitigating inherent risk in loan
portfolios. Brustbauer (2016) noted that enterprise risk could include various
factors with potential impact on banks' activities, processes, and resources.
B2 mentioned that a robust information technology infrastructure could be
very beneficial in the risk mitigation process. B2 views can be associated
with the ERM framework because a successful information technology
platform identifies, captures, and communicates in a timeframe and form
that enables users to make informed decisions. Effective communication
occurs when information flows horizontally and vertically across the entity
(COSO, 2013; Rubino et al., 2017).
This finding supports the ERM framework that new technology use
and digital information revolutionized the global business environment.
Organizations use sophisticated technologies to create a collaborative work
atmosphere by providing workers with the ability to use technology to share
information fast to manage risk and address uncertainties (Kulathunga et al.,
2020). The ERM framework outlines how managers can have greater
confidence in addressing many critical 21st-century business challenges as
they navigate evolving markets, segments, rapid technological change, and
heightened regulatory and compliance focus (Lam, 2016). The ERM
framework helps drive value creation by enabling management to use
technology to respond in a prompt, efficient, and effective manner to future
events that create uncertainty and represent significant threats or
opportunities (Anton & Nucu, 2020).
Applications to Professional Practice
The findings from this study are relevant to improved business
practice. Participants provided additional information on bank managers and
leaders' strategies to mitigate inherent risk in retail loan portfolios. First, I
found bank managers may acquire new perspectives and improved
understanding to mitigate loan default. Secondly, bank managers can foster
the principle of knowing their customers to manage inherent risk.
Bank managers can respond to market challenges to foster and sustain
competitiveness (Okeyo et al., 2018). Bank managers may consider service
quality, business knowledge, and enhanced credit analytic strategies to gain
effective internal control in the marketplace (Arshad & Su, 2015). The
finding may provide bank managers with information on developing and
implementing strategies to manage inherent risk in the retail loans portfolio.
Bank managers can reduce costs, increase productivity, and improve
customer services to satisfy customers and stakeholders (Sigalas, 2015).
Bank managers can optimize resource allocations that align with practical
strategies, improve performance, and integrate the volatility in today’s
markets and environment (Liu & Liang, 2016). This study's findings
concurred with the ERM framework to evaluate the control environment,
risk assessment, control activities, information, and monitoring. Bank
managers can use the ERM framework to analyze internal control
mechanisms to manage loan portfolios' inherent risk. The findings are
relevant to professional practice in that bank managers and leaders may
obtain useful information on effectively managing inherent risk and
improving the internal control environment to mitigate inherent risks.
This study's findings and recommendations might serve as the basis
for bank managers and leaders to change strategies and improve loan
practices. The findings showed that knowing your customer, business
knowledge, enhancing credit analytics, technology, and effective leadership
are the leading strategies of bank success in mitigating inherent risk in loan
portfolios. The study results may assist bank managers in identifying and
using the resources they need to manage risk and improve internal control.
This study is significant to business practice in that the results may provide
bank management with the knowledge to manage loan activities and enhance
growth. The results could enable bank managers to gain insights into
successful strategies and practices that may improve mitigating inherent
risks in loan portfolios. Bank managers may use this study's findings to
develop and implement strategies to reduce business losses and increase
profits.
Implications for Social Change
This study's implications for social change include the potential
development of risk management strategies that bank managers can
implement to mitigate inherent risk in loan portfolios. The study results
could help bank managers affect social change by funding small businesses,
providing jobs in the community, and providing retail loans and mortgages.
Bank managers could further effect social change by building a welcome and
inclusive work culture so that every customer could reach their financial
goals and contribute to the community. A lower default rate for individual
bank loans might increase credit scores and further increase the propensity to
access more credit to boost the day-to-day living standards of individuals in
the community (Rahman & Banna, 2016).
Positive social change may occur if educating and informing lenders
leads to fewer lenders defaulting on retail loans. Immergluck (2015)
concluded a high correlation between borrowers who had a loan and the
propensity of defaulting. Loan default can harm the individual’s financial
health and availability to access credit in the future as banks report to the
credit bureau individual who defaults on their loans. A default will lower an
individual’s credit score and making borrowing more expensive when they
need credit. Financial hardship and credit challenges can lead to negative
social consequences for individuals in the community. When individuals are
unable to access credit and face financial hardship, the burden becomes
unbearable and desperate. Banks managers might consider ways to better
support individuals in those communities through their corporate social
responsibility campaigns to elevate poverty.
Recommendations for Action
Banks and financial institution leaders may consider their strategies
against those outlined in the themes uncovered in this study. A potential
borrower looking to acquire a loan may consider the lending organization’s
offerings on interest rates and terms before deciding (Lugo, 2014).
Establishing business knowledge and taking advantage of technology might
mitigate and ensure guardrails within retail loan portfolios. Advance
technology and business knowledge will help provide in-build control to
manage risk with the loan portfolios better (Kulathunga et al., 2020). If these
efforts are not in operation within the bank or financial institutions, leaders
and managers should implement or improve similar ideas related to business
knowledge and technological advancements.
For this study, I discovered strategies to mitigate inherent risk in retail
loan portfolios. Based on the study findings, I recommend that managers
implement education and training programs to foster business knowledge
and continuous improvement initiative to better address inherent risk in loan
portfolios. A simple education and training program might be welcoming by
bank employees to better understand and deliver their services to their clients
efficiently and effectively, thereby encouraging employees at all levels of the
bank to work together to better address risks. Also, bank managers should
emphasize using advanced technology to evaluate and mitigate inherent risk
in loan portfolios. Technological advancement is critical for bank managers
to better utilize and capture relevant information for the decision-making
process. With innovation and disruptive technologies, responding to inherent
risk will be quick and readily accessible.
Findings from this study are vital to bank managers, credit officers,
and underwriters. Credit analytics, especially in the retail loan portfolio, is
essential for a bank’s ability to mitigate loan portfolios' inherent risk.
Moreover, all stakeholders involved in the mitigation of retail loan portfolios
may draw interest in the study findings. Understanding this study's results
may be particularly beneficial to current bank executives with authoritative
decisions on loan approvals. Furthermore, the need for consistent innovation
and proactive risk measures might aid in the mitigation of inherent risk in
loan portfolios while improving economic growth.
The study results could be a useful resource to bank managers in
developing and managing the inherent risk in loan portfolios. I will share a
summary of the findings with the study participants when I study is
completed. This study will be published by ProQuest and academic journals.
I am also working with my doctoral study chair and another researcher to
publish the study's results in an academic conference and peerreviewed
journal. Thus, the results of my doctoral study will be available to other
scholars, practitioners, and researchers, which could help their practice and
advancements of inherent risk research in loan portfolios.
Recommendations for Further Research
The findings from this study provide strategies for additional
exploration in retail loan portfolio risk. The reduction of loan volume may be
more substantial as the loan portfolio's riskiness increases (Pausch & Welzel,
2017). Therefore, researchers should conduct future studies to explore issues
not covered in this study to address delimitations such a credit underwriting,
risk reduction behaviors, and financial risk-sharing. I recommend exploring
those banks that offer retail loans and endured the financial ramification due
to the COVID-19 pandemic. I also recommend conducting quantitative
research on systemic risk and credit risk management.
While developing my study, I identified three limitations. The first
limitation was related to scheduling interviews. The second limitation was
that the study findings might not be generalizable to banks outside of the
study's specific geographic location. The third limitation was that bank
managers might misrepresent or present biased responses to influence the
study findings. To address potential limitations in future research, the future
researcher should be flexible when scheduling interviews. The future
researcher should develop a large enough pool of participants so that if there
are scheduling difficulties, the researcher will collect sufficient data from
other participants. The future researcher should clearly define the research
boundaries to avoid making conclusions that go beyond pre-established
boundaries. Finally, the future researcher should establish robust criteria for
participation to identify knowledgeable and unbiased participants.
Reflections
In pursuing this Doctor of Business Administration (DBA), I acquired
several skills and experiences on the academic and personal level. I
prioritized and balanced multiple responsibilities in this pursuit, including
family, school, business, and work. Time management was critical and a key
to my success. During the research process, my understanding of the
doctoral research journey evolved. I gained a better understanding of
strategies bank managers use to mitigate inherent risks in loan portfolios.
Furthermore, I developed an attitude of perseverance and dedication to
complete this study. The DBA learning process provided me skills such as
critical thinking,