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Chapter 1: Introduction to the Study
Ethics are a set of moral principles that derive from cultural norms and values that
sometimes turn into federal regulations or state laws (Brown et al., 2005; Gronowski et
al., 2019; Hartog et al., 2015). Unfortunately, these laws and federal rules are often found
to be ineffective when people face ethical decisions that involve the well-being of
patients and society (Datta, 2020; Gronowski et al., 2019). Ethical practices in laboratory
medicine are defined by either the law of the laboratory’s municipality or a code of
conduct regarding decision-making for clinical laboratory professionals (Wijeratne &
Benatar, 2020). Professionals recognize that there is no study on ethical leadership within
medical laboratory leaders. Additionally, there is no book on ethical leadership for
medical laboratory leaders (Bruns et al., 2015; Wijeratne & et al.,2020). This lack of
knowledge and resources on ethical leadership is due to the fact that medical laboratory
scientists rarely participate in bioethical disputes and are unaware of the vital need for
and importance of ethical leadership in medical laboratory settings, and record ethics as
an operating manual rather than moral responsibility (Afolabi et al., 2015; Madhu et al.,
2019).
Domen (2002) conducted a survey and found that 84% of medical laboratory
professionals believed that ethical issues are underrecognized, and 38% revealed that
their current ethics training is inadequate and impractical for their practice. Bruns (2015)
found that ethical leadership training and teaching is absent in both clinical and medical
laboratories. Moreover, there is no workable theory on ethical leadership that can be
served as a guide to assist medical managers in dealing with ethical dilemmas and
2
decision making (Shina et al., 2019; Wijeratne et al., 2020). Ethics is crucial in medical
laboratory medicine because medical laboratory employees have a responsibility for the
general well-being of society and members of their community (Datta, 2020).
Nyrhinen (2000) revealed that genetic testing, HIV, prenatal, autopsy, specimen
handling, and labeling are the most ethical problematic examinations in a medical
laboratory, with a range of 46% to 68.2% total errors in the pre-analytic phase (Gamble et
al., 2014). As such examination errors occur during the pre-analytical phase, the results
and interpretations from this analysis are often used for discrimination and stigmatization.
Ethics in medical laboratory settings only focus on collecting specimens, chemical
disposal, information collections, the performance of the test, medical record retention,
and storage (Aggwal et al., 2020; Cocks, 2016; Datta, 2020). While these guidelines are
acceptable for medical laboratory management, in some cases, they are inadequate due to
the lack of theoretical knowledge of ethical leadership and ethical training in medical
laboratory settings (Cocks, 2016; Gronowski et al., 2019; Wijeratne et al., 2020).
Witjeratne and Benatar (2020) stated that the most common ethical dilemmas in
medical laboratory settings are due to negligence and lack of accountability because
physicians or managers sometimes approve forms and reports without review, which
sometimes cause a patient to face life-threatening symptoms or end up in intensive care.
Additionally, employees or physicians are appointed to leadership roles based on long-
term tenancy rather than management skills or experience. They are given responsibilities
with no leadership training nor ethical leadership knowledge for managing employees
(Khalajzadeh et al., 2019). Because medical laboratory managers rely on their training
3
concerning surgery issues, chemical disposal, patient confidentiality, patient safety, and
record-keeping they have little knowledge on how to model ethical behavior in the
workplace to influence employee ethical and accountability behaviors (Bruns et al., 2015;
Gronowski et al., 2019; Wijeratne et al., 2020).
Goleman (2009) stated that a leader’s attitude can either energize or deflate an
organization. Leadership is crucial for team management, organization functions, and
directions. Health care organizations, especially medical laboratory industries, have
placed little effort in leadership development and training for their assigned management
roles (Ghiasipour et al., 2017, Wijeratne et al., 2020). Ghiasipour et al. (2017) argued that
the absence of ethical leadership research in health care is a social problem that places
stakeholders at risk impacting society's health level. From qualitative analysis, they found
that clinical managers are unfamiliar with leadership theory and lack knowledge of
organizations' behavior for managing employees. While the manager's leadership style
must align with the organization's practice and values, a leader with no ethical standard or
morals can give rise to a toxic work culture that can lead to the downfall of the entire
organization and endanger public safety (Brown et., 2005; Hartog et al., 2015).
Although research on the relationship between ethical leadership and
accountability is scarce, it has shown that leadership integrity plays a significant role in
employee accountability (Waddock, 2004). Unfortunately, in today's world, especially in
medical laboratory settings, employee accountability does not appear to be a common
trend in practice (Balderson et al., 2005; Brown, 2004; Gamble et al., 2014).
Accountability is the obligation and the willingness to accept responsibility for one's
4
actions and mistakes (Lerner & Tetlock, 1999). Over the years, demand for greater
employee has increased over the years in medical laboratory organizations (Baker et al.,
2004; Brown, 2006). Concurrently, it is believed that employee accountability was easy
to monitor without leadership guidance. However, these assumptions were proven wrong
and resulted in inaccurate laboratory results fatalities in some cases, which impacted
patient treatment due to employee negligence (Baker et al., 2004; Bourne, 2013;
Komarnicki, 2012;).
Ethical issues play a vital role in laboratory medicine. Therefore, managers who
are appointed into leadership must be fully aware of the importance of ethical leadership
in medical laboratory management and decision making (Aggarwal et al., 2021;
Witjeratne et al., 2020). To the present date, the effect of ethical leadership on employee
accountability behavior in medical laboratory settings is unknown because medical
laboratory organizations only enforce ethics through regulations (Datta, 2020). The lack
of knowledge of ethical leadership in medical employees is a social issue that cannot be
ignored and will continue to pose a significant threat to public safety.
Statement of the Problem
Medical laboratory personnel have an obligation to their patients, communities,
and society (Bhagwat & Pai, 2020). The lack of ethical leadership knowledge in medical
laboratory management can give rise to more ethical scandals and malpractice that will
endanger both patients and the public if not addressed (Ghiasipour et al., 2017; White et
al., 2019; Witjeratne et al., 2020). Although researchers have shown that ethical
leadership practice may prevent these detriments, there is a lack of understanding of the
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effectiveness of ethical leadership on employee outcomes, especially in laboratory
medicine (Afolabi et al., 2015; Brown et al., 2005). At present, there is no research
regarding the ethical behavior of leaders on employee ethical behavior of accountability
in medical laboratory organizations (Witjeratne et al., 2020). Additionally, professionals
in medical laboratory establishments have limited ethical leadership knowledge for
managing employees (Bruns et al., 2008). They are unaware of the ethical behaviors that
they are supposed to exhibit through social learning to influence the ethical behavior of
accountability in their employees, because ethical leadership studies are conducted in
other areas outside of health care (Brown et al., 2005; Bruns et al, 2008).
Accountability behavior is taking ownership of the results of one’s actions, and
the willingness to accept responsibility and be accountable for that action without
blaming others (Wang, 2016). While the need to strengthen accountability in healthcare
organizations has made its appeal in healthcare studies (Barker et al., 2004; Deber, 2010;
Deber, 2014), the fundamentals of how to influence accountability behaviors through
ethical leadership in medical laboratory organization remained under researched. The
relationship between ethical leadership and accountability behavior in medical laboratory
settings remain undetermined because medical laboratory organizations enforce
accountability only through regulations or state laws rather than ethical leadership
training and teaching (Gamble et al., 2014; Steinbauer et al., 2014). Given that little is
known of the influence of ethical leadership in laboratory medicine, a gap was be
addressed by examining the effect of ethical leadership on medical laboratory personnel
accountability behaviors. Consequently, a study was conducted to examine the effect of
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ethical leadership on employee accountability behaviors among medical laboratory
personnel.
Purpose of the Study
This focus of this quantitative study was to determine the effect of a laboratory
manager’s perceived ethical leadership on their assigned laboratory employees'
accountability behaviors. It also explored if the time working for a given medical
laboratory manager moderates the relationship between their assessed ethical leadership
in predicting their laboratory employee’s accountability behaviors. This study promotes
social change by demonstrating the impact of ethical leadership on medical laboratory
staff and increasing awareness of the need for ethics training in medical laboratories.
Research Questions and Hypotheses
The following research questions and associated hypotheses guided this study:
Research Question 1 (RQ1): Does perceived medical laboratory manager ethical
leadership predict their assigned laboratory staff’s employee accountability behaviors?
Null Hypothesis (H01): Perceived medical laboratory manager ethical leadership
does not predict their assigned laboratory staff’s employee accountability behaviors.
Alternative Hypothesis (Ha1): Perceived medical laboratory manager ethical
leadership predicts their assigned laboratory staff’s employee accountability behaviors.
Research Question 2 (RQ2): Does the total of months laboratory staff is assigned
to work for a medical laboratory manager moderate the relationship between their
perception of their managers ethical leadership and the assigned staff’s employee
accountability behaviors?
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Null Hypothesis (H02): The time laboratory staff are assigned to work for a
medical laboratory manager does not moderate the relationship between their perception
of their managers’ ethical leadership and assigned staff’s employee accountability
behaviors.
Alternative Hypothesis (Ha2): The time laboratory staff are assigned to work for a
medical laboratory manager moderates the relationship between their perception of their
manager’s ethical leadership and the assigned staff’s employee accountability behaviors.
Theoretical Framework
Social Learning Theory
Bandura's social learning theory (SLT) has been used by professionals to
understand the mechanism of unethical behavior and the influence of ethical leadership
on employee outcomes (Brown et al., 2005). SLT suggests that behavior is learned
through observation and learning (Bandura, 1977). In relationship to unethical behavior
in the workplace, employees can learn ethical or unethical behavior through observation
to determine what behaviors are expected and rewarded. When employees learn what
actions are considered acceptable by their leaders, unethical behavior is eliminated
(Brown et al., 2005). SLT is used to explain the characteristics that contribute to ethical
leadership and how ethical leaders influence ethical behaviors in their employees.
Employees look up to their leaders for ethical guidance and feedback. When the leaders
act as credible role models, the employees value the behavior and learn to model the
ethical behavior observed (Brown et al., 2005; Copeland, 2016; Trevino et al., 2014).
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Knowing this, medical laboratory managers using the SLT can learn what behavior to
follow and exhibit to influence ethical behavior of accountability in their employees.
Moral Disengagement Theory
Bandura's (1999) moral disengagement theory (MDT) is used in ethical studies
because it is used to focus on why employees engage in certain behaviors and how
employees tend to justify their unethical behaviors to avoids guilt or consequences from
their deviant behavior and maintain balance with their personnel moral standard. The
employee will try to validate a decision that results in deviance and deactivation from
their internal moral standard (Bandura, 1999; Tillman et al., 2018). For example, if an
employee makes a mistake, the employee may lie to their leader and fail to take
accountability for their actions if that employee believes that reporting their mistakes will
place their job security in jeopardy. Unlike SLT, MDT does not imply modeling; the
theory focuses on employee moral justification and leadership practice on employee
deviance (Gang, 2018). Research has shown that employees with low moral
disengagement are more sensitive to ethical leadership and that employee perception of
ethical leadership is more robust when the employee's moral disengagement is low
(Bonner at al., 2016). The MDT suggests that ethical leadership relationship with
followers goes beyond role modeling (Bandura, 1999; Moore et al., 2019). Through
cognitive processing ethical leaders can reshape how their followers form their moral
decisions to decrease deviant behaviors and organizational corruptions (Moore et al.,
2019). Given scholarly consensus that the MDT is valid in ethics studies, it was applied
in this study.
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Nature of the Study
The study delivered instruments online to examine the predictive relations of
ethical leadership and accountability behaviors of medical laboratory employees. Ethical
leadership was measured using Kalshoven et al.’s (2011) Ethical Leadership at Work
Questionnaire (ELWQ), a questionnaire proven to be reliable for measuring ethical
leadership outcomes and unethical behaviors in the workplace (Kalshoven et al., 2011;
Wijesekara et al., 2018). Accountability behavior was assessed using Wood and
Winston’s (2007) Leader Accountability Scale (LAS). The LAS is highly desirable for
leadership selection, development, and leadership effectiveness research (Khurrum, 2006;
Wood et al., 2007). A regression analysis, using SPSS, was used to examine the
predictive relations of medical laboratory managers ethical leadership influence on the
accountability behaviors of medical laboratory personnel. A moderation analysis was
conducted to test whether the time medical laboratory staff serve under a given manager
influences the relationship between a manager’s assessed ethical leadership and their
staff’s self-reported employee accountability behaviors. The population of medical
laboratory employees sampled for this study reside in Western upstate New York.
Definition of Terms
The definitions of the terms and variables presented below provide an
understanding of the concepts used throughout the study.
Accountability behavior: The ability to take ownership of one’s action without
passing the blame to someone else with the willingness to take responsibility for that
action (Deber, 2014).
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Employee engagement: The level of psychological investment and commitment
an employee has towards an organization with the willingness and ability to contribute to
its success (Yi-Jia et al., 2008).
Ethical leadership: A form of leadership, where the individual leads by example
and demonstrates appropriate behavior and applies morals standard in decision making
(Brown et al., 2005).
Health care organization: A health system organization that provides health
services such as treatment, diagnosis, cure for disease, illness, or injury, and is often the
first point of contact with health care practitioners and professionals to provide primary
care, secondary care, and public health (Cocks, 2016).
Medical laboratory employees: Individuals who worked in clinical pathology,
anatomy pathology, blood bank, chemistry, histology, pathology, genetics, microbiology,
toxicology, clinical biochemistry, cytogenetic laboratories, hospitals, clinics, and private
physician offices responsible for conducting tests that provide information on patients'
diagnostic, treatment, and prevention of disease (Cocks, 2016; Majkić-Singh,2017;
Wijeratne et al., 2020).
Medical laboratory manager: A person who is trained and understands the
effectiveness and efficiency of medical laboratory operations and functions; plans and
implements laboratory procedures, ensures staff compliance, provides administrative
support, resolves the problem, and monitors the laboratory. A medical laboratory
manager primary role is to ensure that their employees comply with the laboratory rules
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and regulations and ensure that the laboratory is well maintained to increase work
efficiency and quality (Gamble et al., 2014; Wijeratne et al., 2020).
Moral disengagement: A psychological process where the individual is convinced
that an ethical standard does not apply in a particular situation (Bandura, 1999; Bonner at
al., 2016).
Servant leadership: A form of leadership where the individual focus is to serve all
the stakeholders in the organization. Servant leaders share their powers in decision
making with their employees and encourage innovation (Greenlaf, 1970).
Social change: A way in which society develops overtime to promote better
living, create policies, make necessary changes, increase awareness, and fight against
social injustice to promote better living conditions (Sablonniere, 2017).
Transformational leadership: A leadership style where the leader inspires,
motivates their followers. The leadership style relies on leader-member exchange because
the leader does not make demands of their followers and does not require their followers
to work harder to get rewarded. Transformational leadership is comprised of four
components: charisma, motivation, inspiration, and stimulation (Bass & Avolio., 2000;
Bruns, 1978; Herold et al., 2008).
Transactional leadership: A leadership style that is based on self-interest. Leaders
with this leadership style tell their employees what is expected from them to be rewarded
while relying on reward and punishment to influence employee and rely on self-
motivated employees to accomplish the organization's goals and (Brown et al., 2005;
Kanungo & Mendonca., 1996).
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Unethical behaviors: Actions that fall outside that which is deemed morally right
and acceptable, lack moral principles, and do not adhere to moral conduct (Gang, 2018).
Assumptions
A general assumption was that the participants were honest and truthful in their
responses from the survey. Participants can often choose to give an answer that they
believed might be more desirable to the researcher (Trett et al., 2012). Another
assumption was that participants had a sincere interest in the research with no other
motives, and that the research sample represented medical laboratory employees. The
final assumptions were that the participants had enough insights and interaction with their
manager to respond the survey, and that the findings from the study are beneficial for
large medical laboratory organizations that specialized in medical testing and contribute
to promoting social change.
Scope of the Study
The study was limited to medical laboratory managers and medical laboratory
employees. Medical laboratory employees take up management roles as leaders with
minimal help from the physician and administrator of their practice and are expected to
maintain the laboratory work efficiency to increase profit (Kippist et al., 2009). Medical
laboratory employees are required to adhere to high ethical standards. Like any other area
in medicine, there are unique ethical issues that directly affect medical laboratory
practice. Consequently, there is a lack of ethics research in medical laboratory medicine
(Grotowski et al., 2019; Madhu et a., 2019). For the purposes of this study, a single
population of 55 medical laboratory employees in Western upstate New York were
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selected to focus solely on medical laboratory employees rather than more broadly on
other health care professions. Due to the nature of the population, the results from this
study are unlikely to be generalizable to other populations in health care.
Limitation of the Study
A limitation that occurred in this study was that some of respondents did not
respond to most of the survey and exited before completion. To manage this limitation,
the target audience in the Survey Monkey Target Audience collector and demographic
questionnaire was adjusted to send the survey to the right respondent who matched the
criteria of the demographic questionnaire with reminders every 2 weeks. The Survey
Monkey Target Audience collector options from SurveyMonkey also made sure that the
survey was sent to a specific population of medical laboratory personnel based on
demographics, employment status, gender identification, time assigned under current
manager, number of years of employment and age. Another limitation was that the time
under current manager may vary between participants, where employees may have
worked for a previous manager for a much more extended period. To manage this
limitation, participants were asked in the demographic questionnaire to record the time in
month that they have spent under their current laboratory manager. Another limitation
was the possibility of missing of data due to sample attrition resulting in a difference
between the initial and the ending sample (Mason, 1999). The sample size analysis from
the G* Power 3.1 software indicated that 55 participants was an appropriate sample for
the study. Therefore, to account for sample attrition, a 10% margin was added to the
sample size and total of 61 participants was sample. An additional limitation was that this
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study focuses on large medical laboratory organizations specializing in medical testing.
Therefore, the findings from this study might not reflect other specializations in small
medical laboratory settings, especially hospitals laboratories.
Quantitative research involves a structured questionnaire with close-ended
questions. Therefore, a structured questionnaire limited the outcomes of the study. The
nature of the self-report survey limits the outcomes of the research because respondents
have limited options of responses, then the additional information in-depth interview can
provide (Simon 2011; Younus 2014). Therefore, it was important that the design of the
study aligned with the population, and that the correct target group was selected to obtain
the maximum amount of reliable and valuable data.
Significance of the Study
The findings of this study support an understanding of ethical leadership on
employees' moral actions in laboratory organizations and fill the gap in current research.
Additionally, the findings can be used as a guide for medical organizations in the
fundamental effect of ethical leadership on employee behaviors in medical laboratories.
Last, the findings support the ongoing need for ethical leadership studies in medical
laboratory practice.
Ethical dilemmas are presented daily in medical laboratory settings. Although
laboratory employees do not come into direct contact with patients, the lack of ethical
practice and ethical leadership failures can cause life-threatening events that can interfere
with public safety and society (Gronowski et al., 2019; Witjeratne et al., 2020). As ethical
dilemmas continue to surface in medical laboratories, the professionals who are assigned
15
leadership roles are often left unaware of the importance of ethics in their decision
making (Khalajzadeh et al., 2019). Furthermore, they are often unaware of the behavior
that they are supposed to exhibit to their subordinates to eliminate unethical behaviors
and increase accountability in their department (Khalajzadeh et al., 2019; White et al.,
2019). The findings of this study cover a gap in ethical leadership literature in laboratory
medicine, where ethics studies are currently non-existent, and raise awareness on the
need for ethical leadership studies in medical laboratory organizations. Furthermore, the
result from this study can help promote better work environments for employees and help
create new policies and ethics training that help decrease unethical behaviors in the
workplace.
Summary and Transition
While laboratory organizations rely on studies from other health care professions
to guide their practice, managers in laboratory medicine do not have a current model on
ethical leadership to guide their practice (Gronowski et al., 2019). Furthermore, the
ethical leadership training that these managers received is inadequate and insufficient for
their management roles, and do not address the ethical issues that uniquely affect medical
laboratory practice (Bruns et al., 2015; Gronowski et al., 2019; Wijeratne et al., 2020).
Chapter 1 presented the need for ethical leadership in the medical laboratory setting. The
purpose, problem, and reference to previous literature presented the beneficial factor of
ethical leadership in organization management and practice. The presented study
addressed that gap by examining the predictive relations of ethical leadership medical
laboratory managers on the accountability behaviors of the medical laboratory personnel
16
they supervise. This study can contribute to the promotion of social change by improving
workplace conditions for medical laboratory personnel. The result of this study raised
awareness of the importance of ethical leadership in medical laboratory management.
Chapter 2 presents a literature review of the theories and fundamental concepts of
the study. The chapter focuses on the theoretical concept of leadership. Leadership
theories, including transformational, transactional, servant, and ethical leadership, are be
discussed. The concept of accountability and what is known about the relationship
between ethical leadership and accountability are addressed. Chapter 3 covers the
research design, methodology, the population, including participant selection,
instrumentation, data collections, and analysis, are discussed. Threats to validity, ethical
procedure, and participants' protections are also explored. In Chapter 4, data provided
from medical laboratory employees from Western New York are analyzed. The
assessments used for the research are the ELWQ and LAS and were distributed using
SurveyMonkey. Chapter 5 reviews the findings of the study and makes connections
between the findings to the literature and the theoretical framework. The limitations of
the study are explored, and recommendations for future research are provided.
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Chapter 2: Literature Review
This chapter contains literature on the theoretical foundations of leadership with
the definitions of the concept, including current research findings that address ethical
leadership and accountability. From a theoretical basis leadership theory, transactional
leadership, transformational leadership, servant leadership, ethical leadership,
accountability behavior and ethical leadership, SLT, and MDT are discussed. Previous
researchers have argued that ethical leadership has an impact on employee outcomes. In
this chapter, theoretical and empirical research that focuses on ethical leadership, power
and leadership, accountability behaviors, and impacts on employee accountability
behavior are reviewed. The literature review compares ethical leadership with other
leadership theories to understand concepts that appear to be similar.
Literature Search Strategy
The keywords that were used to conduct this literature search included ethical
leadership, unethical behavior, moral justification, harassment in the workplace,
deceptive behaviors, workplace and ethics, workplace accountability, ethic in laboratory
medicine, laboratory medicine management, and leader characteristic, leadership and
accountability, laboratory ethics, medical ethics, laboratory management, power and
leadership, leadership and ethics, and leadership theories. Databases that were used for
the search included ResearchGate, Emerald Insight, ProQuest, Education Source, Psych
info, Psych articles, Business Source Complete, EBSCO, ScienceDirect, Walden
University Dissertation & Theses database at Walden University, SAGE Journals, and the
Social Citation Index.
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Leadership Orientations
Leadership theory is one of the most researched and debated topics in social
psychology, management studies, and industrial/organizational psychology (Connell et
al., 2002; Pfeffer, 1993). Scholars continue to seek more information regarding what
makes a good leader (Anderson et al., 2015; Mutswa, 2016; Oludolapo et al., 2019).
According to Northhouse (2016), individuals commonly seek new information on
becoming a great and effective leader. The result of this curiosity has resulted in
increased leadership studies over the years (Brown et al., 2005; Hartog et al., 2015).
Organizations use leadership research to identify employees with leadership skills to
significantly improve organizational functions, productivity, and proficiency (Bass,1990;
Butts, 2012; Northouse, 2016).
Lussier and Achua (2010) stated that an organization's future strongly relies on its
leadership because leaders can help increase employee productivity; increase
organization revenue; promote changes; and increase positive attitude, performance,
engagement, loyalty, and job satisfaction. Throughout the years, leadership researchers
recognized that different leadership styles and approaches contribute to leadership theory
and complexity of leadership (Bass,1990; Brown et al., 2005; Burns, 1978).
Traditionally, the most common leadership approaches are autocratic, participative,
laissez-fare, transactional, and transformational leadership. In recent years, servant,
authentic, and ethical leadership have been added to that list. The following sections
provide additional context on each of these leadership styles.
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Autocratic Leadership
Autocratic leadership, also known as authoritarian leadership, is a leadership style
characterized by authority where the individual has dominance over all decisions and
allows little input from group members (Chioma et al., 2017). Individuals with this
leadership style make decisions based on their judgment without cooperation and
engagement from their followers and use reward, coercion, or punishment as tools to
motivate their subordinates (Lopez, 2014; Schoel et al., 2011). Studies reveal that
autocratic leaders can harm an organization by forcing their followers to perform tasks
based on their ideas of success rather than shared vision (Cherry, 2016; Srivastava, 2016).
As power is the dominant attribute of autocratic leadership (Schoel et al., 2011),
individuals with this leadership style show little value to employee creativity, which often
leads to low employee engagement and satisfaction, as well as lack of trust and teamwork
(Amanchukwu et al., 2015; Blomme et al., 2015; Kan et al., 2015).
Autocratic leadership is mainly preferred in intensive or critical care practice
because often, the physician is the only one in the team with the requisite skills and
knowledge to diagnose and select the appropriate treatment for patients (Yun et al.,
2005). During a surgical procedure, trauma, and acute resuscitation where there is little
time for collaborative decision making, the physician often instructs the staff on what to
do and makes decisions based on justifiable need without staff input (Samarakoon et al.,
2019; Sanftou et al., 2017). Autocratic leadership studies in healthcare primarily
examined critical care employee opinions and not employee outcomes (Sanftou et al.,
2017; Vance et al., 2002). This leadership style tends to promote diagnostic error because
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the leader is often unwilling to share information with their staff to retain power. Having
no tolerance for mistakes it may cause staff members to remain silence due to fear of
being blame even if they have critical information or have observed a behavior that the
physician overlooks (Mantous et al., 2011; Stanfou et al., 2017; Yun et al., 2005).
Participative Leadership
Participative leadership is a leadership style where team members participate in
the decision-making process (Xu, 2017). This leadership style is the total opposite of
autocratic leadership because the leaders facilitate employee engagement in the
management process and integrate their followers’ skills and knowledge into the
decision-making process before arriving at a final decision (Chioma et al., 2017;
Srivastava, 2016). As a result, employees feel more engaged, valued by their leader and
are more motivated to work efficiently (Srivastava, 2016; Xu, 2017). Studies show that
participative leadership significantly influences employee communication and
satisfaction, improves patient health, and reduces job turnover (Batti et al., 2012;
Musinguzi et al., 2018; Xu, 2017). Additionally, in health care, employees participating
in decision-making are more motivated to carry out team functions and responsibilities
(Musingisi et al., 2018; Xu, 2017).
Srivastava (2016) showed that participative leadership leads to trust development
among subordinates, he also found that the leadership style is only effective when
employees are motivated to share their knowledge (Srivastava, 2016). Despite the
positive outcomes of participative leadership on employee satisfaction and organizational
change (Pardo-del-Val et al., 2012), the leadership style is more successful in motivated
21
employees (Chery, 2016). Even when all employees contribute to the decision-making,
the leader still spends much time and effort to make even a small decision, due to
conflicts and lack of resolution during decision making (Samarakoon, 2019). Further,
disadvantages that are known to emerge in participative leadership are slow motivation,
conflicts, and loss of time during decision-making, which can be critical during an
emergency when quick decisions are needed for patient care (Chery, 2016; Mantous,
2011; Nagendra, 2016; Xu, 2017).
Laissez-faire Leadership
Laissez-faire style is a form of leadership where the leaders fail to take
responsibility for themselves and their subordinates (Allen et al., 2013; Chery, 2016).
Employees perceive individuals with this leadership style as absent and withdrawn
leaders who have no interest in their follower’s growth and show little effort to form a
relationship with their followers (Arenas et al., 2018; Bass, 1985; Northhouse, 2010).
Laissez-faire leadership involves a hands-off approach where the leader puts more of the
responsibility if not all in the hands of their followers while being available for feedback
(Gilani et al., 2014). Zareen et al. (2015) found that laissez-faire leadership can be
effective where employees are highly motivated and capable of completing tasks
independently. In these cases, the autonomy given by laissez-faire leaders increases
satisfaction and learning opportunities in employees with high intrinsic motivation
(Cilliers et al.,2008; Zareen et al., 2015).
Researchers found that laissez-faire leadership is the most ineffective and most
destructive leadership style (Avolio & Bass, 1995; Chery, 2016). Leader avoidance
22
behavior and lack of guidance causes employees to be less motivated and less productive,
due to the lack of structure, support, and lack of appreciation (Chery, 2016; Ekmekci,
2016; Samarakoon, 2019; Skogstad et al., 2014), which leads to poor group performance,
missing deadlines, avoidance in communication, lack of cohesiveness within-group,
conflicts, and deferral decision-making (Allen et al., 2013). Quantitative research reveals
that both laissez-faire and transactional leadership adversely affect job satisfaction and
weaken interpersonal relationships in health care workers (Chaudhry et al., 2012;
Madlock et al., 2008; Samarakoon, 2019). Further, laissez-faire leaders appear to have
low level of engagement with team members and lack emotional intelligence skills that
often result in lack of trust between the leader and the employee and can also result in
unethical practice (Avolio & Bass, 1995; Ekmekci, 2016; Northouse, 2010; Tosunoglu,
2016).
Transactional Leadership
A transactional leader focuses on allocating assets and using contingent rewards
to direct followers to achieve organizational goals and obtain desired behaviors (Bass,
1985; Washington et al., 2014). A transactional leader uses reinforcement, power, and
punishment to motivate employees by appealing to an individual need rather than the
group goals (Northouse, 2010). Leaders in this category set goals and expectations for
their employees and offer a reward when the standard is met (Bass, 1990; Fletcher et al.,
2018; Saros, 2001). An example of a transactional leader is a politician who looks to win
votes by promising new policies that will help their followers, which also works for
his/her interest (Paramova & Blumberg, 2017).
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Bass (1990) stated that transactional leadership style negatively affects employee
performance and development because a transactional leader does not focus on forming a
relationship with their employees and do not set the effort to increase creativity and
leadership skills. In the workplace, managers with transactional leadership style focus
more on organizational functions, sustaining status quo, and stability (Barbuto, 2005;
Sultana et al., 2015). Under a transactional leader, employee outcomes rely on reward
and the leader's ability to determine which reward will increase employee motivation,
engagement, and satisfaction (Osborne et al., 2017). Nevertheless, the reward and
incentives program used for the employee performance, and to increase motivation are
often found to be ineffective in transactional leaders because they often fail to determine
which incentive programs are best suited for their employees. Studies show that
employees who earn livable wages are less motivated by financial rewards (Aguinis et
al., 2012; Kulchmanov et al., 2014; Randall et al., 2006). Additionally, employees who
do not want leadership roles or are intrinsically motivated will not show a change of
performance because they will find the rewards unbeneficial (Aguinis et al., 2012;
Barbuto, 2005; Hay, 2013). This roadblock often causes transactional leadership to be
ineffective because the leader fails to analyze their employee's needs to increase
productivity, growth, motivation, and innovations (Bass, 10985; Northouse, 2010; Sultan
et al., 2015).
Transformational Leadership
Transformational leadership is one of the most researched leadership styles
because it focuses on charismatic behavior, followers' development, organizational
24
culture, and change (Bass & Riggio, 2006; Bryman,1992). Transformational leadership
gained popularity over the years because of its critical role in employee motivation,
workgroup performance, and employee satisfaction (Antonakis, 2012; Bass & Riggio,
2006; Herold et al., 2006). Bruns first developed the transformational leadership theory in
1978. The theory states that transformational leaders focus on satisfying the basic need of
their followers while inspiring individuals to provide new solutions and ideas to create a
better work environment (Bass, 1999; Bruns, 1978; Sfantou et al., 2017). Herold et al.
(2008) defined transformational leaders as individuals who understand the value of their
establishment and align their goals with their employees. The leadership style influences,
encourages, empowers, and motivates employees to take pride in their work and focus on
the organization's well-being (Lussier & Achua, 2010; Yi-Jia et al., 2008).
Transformational leadership has some transactional content where both the leader
and the follower work together to attain a higher level of motivation and achieve their
goals (Aviolo et al., 2004; Aviolo et al., 2011; Bass, 1990). Further, transformational
leadership is often present during organizational development and changes, making this
leadership style an essential aspect in any work setting (Yi-Jia et al., 2008).
Transformational leadership plays a crucial role in employee performance, job
satisfaction, and engagement (Yi-jia et al., 2008). A transformational leader inspires
involvement by allowing employees to be creative without micromanaging. This buy-in
also creates a healthy work relationship between the organization, the employees, and the
leader (Huang et al., 2009; Singh, 2019; Zhang & Bartol, 2010). Employees inspired by
25
their transformational leader are more likely to increase work performance, commitment,
and satisfaction (Gillet & Vandenberghe, 2104).
Charisma is one of the main components of transformational leadership, yet,
researchers found a difference between transformational leadership, which may
incorporate charismatic qualities, and charismatic leadership (Aviolo et al., 2004; Bass,
1990). Transformational leaders engage in charismatic behavior by motivating and
influencing their followers to achieve better work outcomes and influence their followers
to be committed to the organization's changes and values (Aviolo, 2004). In contrast, a
charismatic leader increases commitment and collaboration in employees and increases
work proficiency by showing confidence in their ability and capabilities (Bass, 1990;
Aviolo et al., 2004; Van Knippenberg & Sitkin, 2013). Ethics studies reveal that a
transformational leader can behave both ethically or unethically based on their moral
values, power misusage, or when decision-making is based on personal gain (Felix et al.,
2016; Keely, 1995; Krishnan et al., 2000; Muhammad et al., 2016). Koroll (1994) stated
that transformational leadership has its place in health care because medical laboratory
personnel need to have a manager who acts as a role model, projects ethical conduct, and
applies changes and resources to increase the quality of work-life, patientcare,
community satisfaction, and employees' motivation (Baqer et al., 2018; Kaluku et al.,
2018).
Servant Leadership
Servant leadership has raised significant disagreements on leadership over the
years (Eva et., 2019; Gandolfi, 2018). How can an individual be a leader and a servant at
26
the time? Greenleaf first introduced servant leadership in 1970. Servant leaders
demonstrate assertive moral behavior toward their employees and focus on their
employees and team members rather than their own needs (Chung, 2011, Hale & Field.
2007; Udani et al.,2013). Servant leaders see their leadership position as a responsibility
rather than a privilege; they are ethical and attentive to the concerns and needs of their
followers (Hale & Fields, 2007; Greenlaf, 1977). Servant leaders nurture their followers,
empower their followers to develop their full capacities and provide support to employees
to achieve tasks and goals (Greenleaf, 1970). A servant leader includes employees in
decision-making; this input increases team cohesiveness, work engagement, and trust
between employees, clients, and stakeholders (Melchart et al., 2010; Saleem et al., 2020).
Research shows that servant leadership plays a role in employee retention by
creating a sense of belonging in the employee and establishing a positive work
environment (Chen et al., 2002). One of the primary goals of servant leadership is to
create a healthy work environment, establish a platform for growth, increase
organizational performance, and create a positive impact on society (Greenleaf, 1970).
Servant leaders recognize their follower's ability and contribution and influence their
subordinates to achieve their full potential and personnel goals (Al Afeshat et al., 2019).
A servant leader positively influences work relationships and collaboration between
employees to increase a healthy work environment and culture (Burton et al., 2017; Hu &
Liden, 2011; Melcher & Bosco., 2010).
Scholars found that servant leadership significantly influences employee
performance, commitment, organizational trust, task performance of subordinates,
27
employee satisfaction, and retention (Asefat & Farida, 2019; Saleem et al., 2020). In
organizational settings, servant leadership has gained its popularity, in part, due to its
ethical component (Sousa et al.,2017). Servant leaders empower, protect their employees,
and chose professional goals based on the organization's objectives (Muhammed et al.,
2016). Servant leadership is often found to be the preferable leadership style in health
care organization because a servant leader applies ethical principles in their practice
(McMahone, 2012), focuses on their team, develops trust, and empowers team members
to increase patient satisfaction, and improve the value of patient care (Trastek et al.,
2014). Servant leaders have been shown to promote ethical work climate in health care
organization, reduce the cost of marketing for inpatient recruiting, and decrease patient
care costs to provide a more sustainable, high-quality health care system (Schwartz et al.,
200).
Authentic Leadership
The rapid increase of ethical scandals in organizations and government agencies
both nationally and internationally in recent years indicates that there is a need for
authentic leaders (Landez, 2018; Peus et al., 2012; Bagdasarov & MacDougall, 2016).
Although the knowledge of authentic leadership is still embryonic, the leadership style is
known to increase positive behavior, quality of life, work productivity, trust, and job
satisfaction (Avolio et al.,2005; Chan et al., 2005). Additionally, research shows that
authentic leadership is the biggest predictor for job satisfaction and organizational
commitment (Jensen et al., 2006). In healthcare management, the leadership style has
been shown to improve patient care, work engagement, and mental health (Al-Marri et
28
al., 2020; Coxen et a., 2016). Authentic leaders have strong moral standards and values;
they lead with purpose and possess a strong awareness of who they are as individuals and
how they behave (Avoli et al., 2005; Avoli et., 2014). According to Northouse (2015),
followers observed their authentic leaders’ behaviors based on three categories
intrapersonal, interpersonal, and development. The intrapersonal category of an authentic
leader is the internal qualities that the leader possesses, the knowledge of the leader, and
self-perception (Northouse, 2015). Authentic leaders lead with integrity and transparency
by engaging in communication with their followers to influence feedbacks and make
decisions based on internalized convictions and moral reasoning (Avolio & Gardner,
2005; Hannah et al., 2003; Leroy et al., 2015).
Authentic and ethical leadership are very similar with different concepts. Both
leadership styles have comparable fundamental frameworks: balanced processing,
relational transparency, self-awareness, and authentic behavior (Ilies et al., 2005;
Kalshoven et al., 2011). However, Authentic leaders are practical and expect their
followers to follow the same guidelines in which they operate (Saeed et al.,2020); though
the practice brings positive outcomes, it might not always be ethical base on the leader
moral values (Saeed et al., 2020; Sendjaya et al., 2016). At the same time, ethical leaders
are theoretical, and authentic whose leadership are based on ethics and morals (Saeed et
al., 2020).
Ethical Leadership
Ethical leadership falls under two categories: 1) the character of the leader, and 2)
the action of the leader (Brown et al., 2005). Ethical leaders influence their followers
29
through role modeling, interpersonal relations, communication, reinforcement, and
ethical decision-making (Brown et., 2005; Trevino et., 2006). While understanding the
influence of ethical leadership on subordinates is still on its infancy, professionals
continue to face roadblocks when conducting ethical studies base on the belief that ethics
can be thought from experience, rather than theoretical knowledge or empirical studies,
and that their knowledge on ethical leadership is sufficient any discipline (Hartog et al.,
2009; Price, 2000). Further scholar that examines the influence of ethical leadership on
subordinated only focus on the moral characteristics of the leader, not the leader’s action,
issues of ethics and ethical leadership studies, and the mediating effect in which ethical
leaders influence employee behaviors (Avolio et al., 2009; Schminke et al., 2005).
Research suggested that leaders can influence ethics through motivation (Lord et
al., 2001), unfortunately, the belief and style of practices are sometimes found to be
inadequate, and resulted misinformation, or malpractice of ethics in the workplace (Bruns
et al., 2008; Lord et al 2001; Price, 2000) Ethical leadership is about the leader's actions,
who they are as individual, how they apply ethic in decision making, including their
relationship with their followers (Brown et al., 2005; Khalshoven et al., 2011; Zang et al.,
2018). Ethical leader follows ethical values, takes his/her employee and organization into
consideration, and applies ethical principles and standards during decision making (Curtis
& O’Connell, 2011; Treviño et al., 2003).
Unethical leadership can affect lower-level employees (Brown et al, 2010). When
the leader fails to take accountability and engages in malicious behavior, it affects their
followers, and encourages their followers to engage in similar behaviors (Brown et al.,
30
2010). The aftermath from the unethical leader behavior not only affects the
organization's culture, but it also affects employee morale, decreases employee
satisfaction, and gives rise to a toxic work environment, with an increase of employee
turnover (Brown et al., 2005; De Hoogh et al., 2008; Mulki et al., 2007).
Unethical leadership often goes unrecognized because leaders sometimes foster or
ignore unethical behavior among employees without reprimand (Ashford, 1989, Brown et
al., 2010). Employees often engage in unethical behavior to increase organizational
performance, by trying to help the organization, the employees often disregard the
organization's policy or standard of operation (Brown et al., 2010). When ethical leaders
exhibit moral behavior, it has a positive effect on the employee that can also result in
positive outcomes (Brown et al., 2005; Moore et al., 2019). Thiel et al (2018) found that
through leader and member exchange ethical leadership increased employee
performance, engagement, and commitment.
Brown et al. (2005) stated that there are two ethical leadership elements: a moral
person and a moral manager. A moral person in ethical leadership focuses on the
character of the individual and traits built on fairness, honesty, respect, openness,
integrity, care, trust, and ethical principles (Brown et al., 2005; Trevino et al., 2000).
Leaders with these characteristics are found to be welcomed by their followers; they are
active listeners to their follower's concerns to identify problem in the organizations
(Brown et al., 2005). A moral manager in ethical leadership represents how the leader
uses their power and leadership position to influence ethical principles and ethical
behavior through role-modeling (Gang, 2018; Trevino et al., 2000; Zang et al., 2012), and
31
influences ethical behaviors of accountability by relating the employee's ethical behavior
to the organization's management system (Brown et al., 2005; Resick et al., 2018).
Summary of Leadership Orientations
Leadership is not always straightforward; it is not a one size fit all for all
organizations and situations. Each leadership style has advantages and impediments, as
well as an appropriate use for specific situations. Understanding the leadership style that
aligns with the organization's needs for practice can give managers a sense of control on
how to influence their employees’ behaviors and become effective leaders. The table
below provides a summary comparison of the eight common leadership based on findings
from leadership research.
Ethical Leadership Considerations
Ethical leadership is important in medical laboratories because it influences
positive collaboration between employees and helps create ethical workplace culture to
provide high-quality service that is safe for patients and society (Gamble et al., 2014).
Every day brings new ethical issues; ethical leaders can help medical laboratory
employees develop a better understanding of ethical principles and promote ethical
behavior through role modeling (Brown et al., 2014; Gamble et al., 2014; Pronovost et
al., 2018; Saxena et al., 2014). In health care industry moral disengagement have been
found to pose a serious threat to patient care, and public safety by displacing
accountability of unethical act into another source (Hyatt, 2017). For example, a
healthcare professional might disregard a patient's pain in fear of addiction or
undermining the patient's discomfort by blaming their judgment on organization policy.
32
According to Hyatt (2017), this type of justification, and displacement, may lower the
quality of care for the patient and threaten the patient's autonomy where the patient feels
pressured or coerced to participate in treatment that they were against or to remain
inpatient care for a more extended period.
Ethical leadership has been found to decrease employee moral disengagement
(Zhao et al., 2018). It is crucial in healthcare, especially in medical laboratories, because
moral disengagement behaviors do not merely occur at a personnel level but also occur at
the organization level (Hyatt. 2017). Therefore, a healthcare organization must improve
ethical education to discourage deviant behaviors.
Ethic leadership education and training are important in health care organization
because it helps create a culture of accountability that teaches employees to know when
to hold themselves accountable and speak up when they witness unethical behaviors
(Deber, 2014). In behavioral science, the SLT seeks to elucidate how behaviors are
learned and how the performance and behavior of leaders affect the work environment
(Brown et al., 2014). In medical laboratory environments, the modeling of ethical
behaviors by laboratory leaders is essential to help set high moral ground, build trust,
respect, credibility, and collaborations to create a healthy workplace culture (Pronovost et
al., 2018).
Evidence showed that more than 98,000 Americans died each year from medical
errors due to medical mistakes and limited accountability (Gamble et al., 2014; James,
2013; Pronovost et al., 2018), and further revealed that many of these fatal mistakes
could have been avoided if the employees had followed ethical and accountability
33
practice (Pronovost et al., 2018). Other evidence revealed that more than 2000 people
were ill after drinking water that was contaminated with E.coli resulting in the death of 6
individuals ( Cote et al..2017), while an investigation in the medical laboratory that is
responsible for the water monitoring showed no wrongdoing, further investigations
showed that the error of the laboratory malpractice occurs during the pre and post-
analytic phase due to inadequacy, negligence and lack of accountability resulting in a 1
billion dollar class-action lawsuit (Cote et al., 2017; Hipel et al., 2003; Walkerton
Inquiry, 2000). These unfortunate events present the need for ethical leadership and
employee accountability in medical laboratory environments.
A culture of accountability can help health organizations provide better care,
improve trust and positive work culture (Pronovost et al., 2018). However, the practice of
accountability starts with the leader, regardless of the leadership style and orientation
(Pronovost et al., 2018). The practice of accountability is essential in leadership because
it not only influences employees who have direct contact with the leader it also influences
lower-level employees to practice accountability behavior and reduce a work culture of
silence where unethical behaviors go unreported (Deber, 2014; Pronovost et al., 2018).
Employee accountability is one of the focuses of the study; therefore, a review on
accountability, and the relationship between ethical leadership, employee accountability
is important in this literature review to strengthen the case of the need for employee
accountability in medical laboratory settings.
34
Accountability
Not many studies have been conducted on ethical leadership and employee
accountability (Ghanem & Castelli, 2019). Studies that were conducted focused on
leadership accountability and the importance of accountability in ethical leadership rather
than investigating the effect of ethical leadership on employee accountability (Ghanem et
al., 2019). Accountability behavior is the ability to take ownership of one’s action and the
willingness to take responsibility, answer, and accept the consequences for that action
without shifting the blame to someone else (Tetlock, 1999; Wang, 2016). Tetlock
suggests that an employee must be aware of the accountability behaviors portrait by their
leader before they can engage in that behavior (Tetlock, 1999). Because only when an
employee is held accountable by their leaders that they become aware of the
accountability condition expected from them and more likely engage in ethical behavior
(Paolini et al., 2009).
In healthcare, accountability is crucial because it requires medical professionals to
acquire special skills and knowledge to provide better care for their patients, and to
respect legal and social standards (Batti et al., 2014). At the same time, professionals
believe that healthcare professionals will always be accountable for their actions due to
fear and legal recommendations (Gamble et al., 2014). Cox (2010) reveals that medical
professionals' accountability depends more on morals, self-accountability, leader’s
behavior, and concern for the public interest. If the employee perceived moral principles
and judgment to be absent in their leaders, it would affect employee accountability and
35
negatively affect the work culture and development (Cox, 2010; Gustafson, 2013; Lerner
& Tetlock, 1999).
Lack of accountability in any organization can lead to severe erosion of ethical
practice (Ghanem & Castelli, 2019). Therefore, the role of the leader is to ensure that
employees understand the importance of accountability and ethical decisions (Deber,
2010; Ghanem & Castelli, 2019; O'Brochta et al., 2012). Leaders should model
accountability and should learn to hold their employees accountable because lack of
accountability can severely affect an organization and pose a severe danger to society,
whether it is physical, financial, or mental (Brown et al., 2016; Deber, 2010). Medical
laboratory accountability falls under four categories: finances, regulations, information,
and incentives (Deber, 2010). Throughout these four categories, regulation was found to
be the primary approach use by medical laboratory organizations to achieve
accountability (Gamble et al.,2014). Reason for this approach is regulations are required
for high-quality laboratory practice, patient care, and because medical laboratory enforces
ethics only through laws and regulations (Gamble et al., 2014). Nevertheless, as medical
laboratories are highly regulated, there is a need to increase employee accountability
during the pre-post-analytical phase and point-of-care testing (Cote et al., 2017; Deber,
2010). While accountability continues to be of great interest in healthcare organizations,
especially medical laboratories, studies showed that the phenomenon could be
unpredictable and hard to manage without leadership and policy direction (Deber, 2014;
Gamble et al., 2014). Unfortunately, these studies were conducted in other sectors outside
36
of healthcare, leaving with the unknown of understanding the influence of ethical
leadership on medical laboratory employee accountability.
Related Theory
The moral disengagement and the social learning theory have helped
professionals understand employee behavior, leadership, and unethical practice (Brown et
al., 2005; Tillman et al., 2017). In health care, the MDT help understands how healthcare
practitioners justify unethical behaviors by switching blame or accountability on their
managers or organization policy (Hyatt,2017). Studies on ethical leadership and lack of
accountability in health care have made both the MDT and SLT great candidates for this
study. In medical settings, employees can learn ethical and unethical behavior through
observation (Brown et al., 2005). Therefore, medical laboratory managers must act
following ethical standards, and aware that they are being monitored by their employees,
and understand that how their employees perceive them determine their success in
establishing a healthy work environment where accountability is held to a high standard
(Brown et al., 2005; Brown et al., 2014; Cox, 2010)
Social Learning Theory
Over the years, professionals relied on the SLT to understand ethical leadership's
influence on employee outcomes (Brown et al., 2005). SLT provides an understanding of
why an employee perceives a particular characteristic of a manager as displaying ethical
leadership (Brown et al., 2005). SLT argues that followers perceived a leader as an
ethical role model when the leader leads with high moral values and ethical principles
(Bai et al., 2017; Bandura; 1977; Brown et al., 2005). SLT also helps to explain how
37
ethical leaders influence their followers through learning, engagement, observation, and
guidance (Bandura, 1977; Brown et al., 2005).
According to SLT, behaviors are learned through interaction, experiences,
environment, and knowledge (Bandura, 1977). While Bandura (1977) argues that a
person's behavior will never occur from these factors alone, he suggests that role
modeling plays a crucial role in influencing ethical behavior in employees (Bandura,
1977; Brown et al., 2005; Trevino et al., 2005). Bandura (1977) states that when an
individual notices something that occurs in their environment, it stimulates memories of
the noticed events. The individual, in turn, reproduces the behavior. When the individual
reproduced the behavior, the environment delivered a reinforcement or consequence for
that behavior that forced the individual to analyze if the behavior is acceptable or not
acceptable (Bandura, 1977; Brown et al., 2005).
SLT suggests that ethical leaders can influence their employees through role
modeling. The psychological process of role modeling entails observation, identification,
and anything learned through experience. Employees can learn what behavior is expected
through role modeling (Bandura, 1977; Brown et al., 2005). While studies suggest that
role modeling is an essential aspect of leader behavior, it is also essential that leaders
observe the employee behaviors to correct unwanted behaviors (Bai et al., 2017). While
an ethical leader is known to be charismatic, to promote respect, fairness, and altruism,
these behaviors might not be interpreted the same way by all employees (Bai et al., 2017;
Yussen & Levy, 1975). Therefore, being the observant ethical leader can help understand
38
how employees interpret, understand, and practice ethical behavior to illustrate and
influence ethical behavior in employees (Bai et al., 2017; Bandura, 1991).
Moral Disengagement Theory
MDT suggests that when individuals violate their moral standards, it creates
psychological imbalance and cognitive discomfort that force them to disassociate
themselves from the consequences to avoid taking accountability for their unethical
behaviors (Bandura, 1999). MDT describes why individuals often tried to justify their
unethical behaviors and why they fail to take accountability and face the consequences
for their actions (Bandura, 1999; Liu et al., 2012; Moore et al., 2015).
According to Bandura (1999), MDT involved eight components: moral
justification, euphemistic labeling, fair comparison, displacement of responsibility,
distorting consequences, and reducing identification or dehumanization. MDT discusses
moral justification as when an individual seeks to justify an action against an ethical
standard. Then engage in euphemistic labeling to reshape their emotions and cognition by
comparing their act as less harmful to another individual's actions (Bandura, 1999).
Furthermore, the individual displaced responsibility by avoiding taking accountability for
their actions and distancing themselves from the consequences (Bandura, 1999; Moore et
al., 2015). Cognition distortion occurs when the individual ignores the consequences for
their action and denies their unethical behavior by blaming another individual for actions
and believing that their victim is responsible and influences their deviant act (Bandura,
1999).
39
Research indicated that moral disengagement mediates the relationship between
ethical leadership and employee unethical pro-organizational behavior (Hsieh et al.,
2020). Through cognitive influence, ethical leaders help their employees recognize and
understand what is ethically wrong and influence their employees to abandon moral
disengagement behaviors (Hsieh et al., 2020; Tillman et al., 2018). Tillman et al. (2018)
argued individuals’ response to others' unethical practices differs from individuals.
Further, subordinates’ moral disengagement influence how they perceived their
supervisor as an ethical leader (Tillman et al., 2018). Employees with low moral
disengagement are more likely to be influenced by their leader's moral disengagement
behavior than employees with high moral disengagement (Bonner et al., 2016).
Hsieh and colleagues (2020) investigated the influence of ethical leadership and
employee ethical behavior on unethical pro-organizational behavior and evaluate the
mediating effect of the moral disengagement on the relationship between ethical
leadership and employee unethical pro-organizational behavior. They found that moral
disengagement mediates between ethical leadership and employee unethical pro-
organizational behavior. Additionally, employee ethical behavior moderates the
relationship between ethical leadership and employee unethical to organizational
behavior and found that the relationship between moral disengagement and employee
unethical pro-organizational behavior is weak when the employee ethical behavior
increases (Heish et al., 2020).
MDT suggests that individuals often separate themselves from their morals to
justify their behavior and rationalize their behavior (Bandura, 1999). The individual
40
unethical behavior often provokes guilt and shame in the individual that creates an
ongoing cycle that will not refrain the individual from engaging in unethical behavior
even if it causes mental discomfort (Bandura, 1999; Tillman et al., 2018). Therefore, the
displacement of responsibility from the individual will continue to cause that individual
to engage in post-moral disengagement as a coping mechanism to lessen their guilt and
perceives their deviant act as justifiable (Bonner et al., 2014; Tillman et al., 2018).
Power in Leadership
Power and Leadership, from the perspective of social psychology, are viewed as
having the ability to influence, modify or change the behaviors or attitudes of an
individual or a group (French & Raven, 1959; Northouse, 2001). Lunenburg states (2012)
that great leaders have common characteristics; they have the vision to achieve goals and
have the personnel power to accomplish them. At the same time, power can be perceived
as a negative attribute in both research and practice because leaders can use their power
for unethical purposes (Lunenburg, 2012). Power is universal and plays a significant role
in organizational outcomes, and employee motivation, especially in health care
(Lunenburg, 2012; Saxena et al., 2019). Power and leadership are linked; leaders use
power to accomplish organizations' goals. However, power can negatively impact
organizational functions if unproperly managed (Raven, 1993; Saxena et al., 2019).
Therefore, it is empirical that leaders understand how power operates to be more
equipped to influence subordinates and become effective leaders (Lunenburg, 2012;
Nelson et al., 2012).
41
Social psychologists French and Raven (1959) analyzed the source of power in
organizations and proposed five bases of power legitimate, reward, coercive, expert, and
referent. Six years later, Raven (1965) added information power. Connection power was
also added by other researchers (Ansari, 1979; Bhal et al., 2000; Howel et al., 2000).
French and Raven (1959) suggested that power is sorted into two categories: formal and
informal. Expert and referent power are characterized as informal power because they are
derived from personnel power sources and exist without any recognized authority or
subordinates to manage (Lunenburg, 2012; Raven et al.,1959). Legitimate, reward and
coercive power are characterized as formal power because they are generated from
positions of authority.
Individuals with formal power uphold a dominant position on subordinates
(Raven et al., 1959, Raven, 1993). Research reveals that formal and informal power can
give rise to desirable or undesirable organizational outcomes (Ansari et al., 2008; Raven,
1993; Samarakoon, 2019). Greater use of informal power in an organization is related to
higher organizational commitment, job satisfaction, and organizational citizenship
behavior (Kovach, 2020; Raven, 1993). In contrast, formal power is related to a high
level of absentees, job burnouts, and decreased organization productivity (Ansari et al.,
2008; Kovach, 2020; Raven, 1993).
Legitimate Power
Legitimate power is a person's ability to influence others’ behaviors because of
the power he/she holds in the organization (Lunenburg, 2012; Raven et al., 1959).
Individuals with legitimate power are assigned their leadership or authority position by
42
contract that defines the manager’s job characteristics, responsibilities, and organization
policies (Ansari et al., 2008; Lunenburg, 2012). In the workplace, individuals with
legitimate power can give commands and ask their subordinates to complete tasks within
the jurisdiction of their authority (Ansari et al., 2008; Kovach, 2020; Raven et al., 1959).
Furthermore, those with legitimate power have the authority to hire new or terminates
employees, conduct performance appraisals, and set goals for employees (DuBrin, 2009;
Lunenburg, 2012). Ansari et al. (2008) found that legitimate power can decrease
employee motivation, creativity, and engagement. Additionally, legitimate power can
create organizational conflict because subordinates are only influenced by the
authoritarian title the person uphold and will only comply if they perceived the use of
power as legitimate and understand the leaders right to influence (Ansari et al., 2008;
Jones et al., 2016; Samarakoon, 2019).
Reward Power
Reward power is an individual's ability to influence others' behavior by providing
a reward (Lunenburg, 2012; Raven et al., 1959). Such rewards can be a job promotion,
more responsibilities; financial incentives such as pay, raises, or bonuses; praise,
empowerment, or recognition for hard work (Lunenburg, 2012). A manager can use
rewards to motivate, influence, and control employee behavior (Raven, 1993). Reward
power has been shown to increase work performance and employee empowerment when
the manager explains the behavior that is being rewarded and creates a clear link between
the reward and the behavior (Ansari et al., 2008; Lunenburg, 2012; Raven et al., 1959).
When communication and the reward are established, it creates a positive work
43
environment and creates an optimal relationship between the employee and the manager
(Jones et al., 2016; Nelson et al., 2012; Randolph et al., 2011).
Research shows that reward power can be unstable and does not always maintain
employee motivation and satisfaction (Faiz, 2013); if the reward being offered does not
attain the employee’s need or is not valued, it can give rise to job dissatisfaction and
disengagement (Lai et al., 2011). Further, financial rewards can be inconsistent because it
does not guarantee that the employee’s behavior will remain positive after their financial
need are met (Bashman et al., 1996; Lai et al., 2011; Singh et al.,2016). Further, power
reward can give rise to unethical behavior and poor work quality because an employee
might engage in unethical behavior to earn the reward (Bachman et al., 1966; Kovach,
2020); this can create competition in the workplace, reduce teamwork, and group
productivity where the employee might switch his/her attention on the reward rather than
their work quality (Kovach, 2020; Raven et al., 1959).
Expert Power
According to French and Raven (1959), expert power is characterized as informal
because it does not rely on any formal position of authority and is derived from
individuals who possess specific skills, experience, knowledge, expert advice, and
respected information (Lunenburg, 2012; Raven, 1993). A study revealed that individuals
with expert power do not always possess leadership skills and are often assigned their
authoritarian position base on outstanding performance (Goncalves, 2013). Without
proper knowledge on how to apply leadership skills and how to exercise their power to
manage and influence their employees, these managers will never become effective
44
leaders and will never gain the respect they need to affect their subordinates’ behaviors
(Raven, 1993; Goncalves, 2013). Knowledge is power, and people always welcome
expert advice when perceived as creditable and trustworthy (Kovach, 2020; Luthans,
2011; Raven et al., 1998). In healthcare, patients follow their doctor's or medical
practitioners’ advice because they acknowledge that they have the expertise and unique
skills in the medical field (Kreitner et al., 2010). However, experts of power can be
unreliable because the person given the information must be trustworthy, and their
credibility must have relevance (Luthans, 2011). For example, a medical practitioner
advising on finance, computer science, or politics might not be perceived as relevant.
Therefore, the medical worker does not have expert power in these fields (Lunenburg,
2012; Luthans, 2011).
In the workplace, it has been shown that expert power positively influences
subordinates with internal locus, increasing motivation and satisfaction in these
employees (Ansari et al., 2008; Kovach, 2020). Additionally, these individuals are often
included in top decision-making due to their expertise, even if they are low-level
employees (Nebus, 2006). However, different findings were observed in employees with
external locus because an individual with expert power can be perceived as egocentric by
other employees and often have poor communication skills and poor face-to-face
interaction when delivering their message (Nadaee et al., 2012; Nebus, 2006).
Referent Power
Referent power is a person's ability to influence others’ behaviors based on a
positive relationship built on admiration and respect for that individual (Raven,1993). In
45
the workplace, a manger often possesses referent power over their subordinates by
influencing the employee to partake or complete a particular task because of their
friendly relationship (Bartos et al., 2009; Gabel, 2012; Lunenburg, 2012). Today social
media influencers, such as celebrities, exercise referent power over their fans and
followers based on admiration (Craig et al., 2006).
Marketing research shows that some celebrities have the power to influence
individual’s choices on the product they buy (Craig et al., 2006). For example, Lebron
James or Oprah Winfrey, who are not experts in skincare products or clothing creation,
can influence their fan base to blindly buy a product they promote because they identify
these products as their favorites (Craig et al., 2006). YouTube is one of the major
platforms for social influencers and product marketing (Hou, 2019). YouTube influencers
grow their fan base from their charismatic behaviors and positive energy and influence
others through allure disposition, approval, and admiration to purchase a product they
recommend for profit (Hou, 2019; Kovach, 2020; Vecchio,1997).
Scholars reveal that referent power is the most critical managerial tool because
managers who possess referent power continue to gain power over time by modeling
behavior they expect to see in their subordinates over a long period (Biong et al., 2010;
Lunenburg, 2012). In the workplace, referent power is found to be positively associated
with employee performance, commitment, organization climate, and growth, leader’s and
employee’s satisfaction, behavior compliance, trusting relationship between the
employee’s and the leader with the decrease of employee absentees (Bartos et al., 2008;
Kovach, 2020; Lunenburg, 2012; Raven et al.,1998)
46
Coercive Power
Coercive power is identified by French and Raven (1959) as the use of force,
public shaming, withholding information, excluding specific individuals in a meeting, not
approving time off, sexual harassment, threatening to terminate, or withholding
promotion or bonuses to punish the employee. Employees working with a manager with
coercive power often carry out projects and are forced to work in projects out of fear of
losing their job or annual bonus (Ansari et al., 2008; Raven et al., 1998). Misusage of
coercive power in the workplace should be avoided because it gives rise to employee
frustration, dissatisfaction, fear, work stress, and alienation (Biong et al., 2010; Kovach,
2020). Though coercive power may lead to compliance of employees, the compliance and
engagement are frequently found to be temporary (Tuner, 2005), and often results in a
decrease in employee performance, involuntary compliance, decrease of trust with high
turnover rates (Hoffman et al., 2017; Lunenburg, 2012; Tuner, 2005).
A manager often uses coercive power to reduce unwanted behavior and absentee
employees (Kovach, 2020). While the use of coercive power might reduce the behavior,
it often results in employee resistance with the decrease of motivation because these
employees often perceived their managers as bullies who uses their legitimate authority
to force them into submission (Raven et al., 1998; Saxena et al., 2019; Teven, 2006;
Thoresen et al., 2003). Research has shown that employees who work for a manager with
coercive power are less motivated and less proactive, they only do the bare minimum
(Taucean et al., 2016). They do not volunteer to participate in a project or additional work
(Taucean et al., 2016). Additionally, employees working with managers with coercive
47
power are reported to have increasing health issues, poor work relationships and are less
likely to succeed within the organization (Fredrickson et al., 2008; Kovach, 2020;
Taucean et al., 2016).
Information Power
Information power is the ability to provide information to enable decision-making
(Bartos et a., 2008). Information power has not been investigated thoroughly as the other
base of power associated with leaders' success but has been found to distinguish success
between successful and unsuccessful entrepreneurs (Ansari et al., 2008). Information
power is based on the perception that leaders with a high level of information power have
a greater chance of compliance from their subordinates and are more likely to succeed in
their leadership role (Erchul et al.,2001, Goncalves, 2013). Information power is an
excellent resource for entrepreneurs because they need to gather accurate information
through their social network to apply to their new business ventures and execute their
ideas (Ansari et al., 2008; Bossidy et al., 2002).
Though information and expert power have some similarities, scholars argue that
both have distinct constructs (Ansari,1990). Expert power is the entrepreneur's personnel
skills and knowledge, whereas information power is the entrepreneur's ability to secure
accurate information that contributes to the growth and success of their business (Ansari
et al., 2008). In the health care setting information, power plays a crucial role in patients
care (Bartos et al., 2008). Communicating information is vital for clinicians because they
utilize both expert and referent power to provide critical information that is perceived to
be trustworthy and persuasive by their patients (Bartos et al., 2008). In clinical settings,
48
nurses exercise a high level of information power because they spend direct contact with
patients (Lipley, 2006); this relationship causes the physician to rely on the information
they received from the nurse to make informed medical decisions for the patient care
(Paynton, 2008).
Connection Power
Connection power is about networking; it is based on the perception that
successful entrepreneurs are well connected with powerful individuals (Ansari, 1990;
Ansari et al., 2008; Bhal et al., 2000). Connection power is the ability to gain influence
from an acquaintance (Ansari, 1990). In the business world, the connection of power is
crucial because an individual can use their connection power to build a coalition with
others, to get jobs done, and serve as a mediator to secure deals between entrepreneurs
(Ansari et al., 2008). Studies reveal that an entrepreneur’s social network is crucial for
their success and can be used as a natural resource to their business (Aguinis et al., 2008;
Kilduff & Tsai, 2003).
Entrepreneurs are also perceived to have a high level of referent, information,
expert, connection, and reward power and use their connection power to promote their
ideas when dealing with constituents and influential individuals (Ansari, 1990; Ansari et
al., 2008). Appropriately used connection of power can be beneficial to employee
professional growth and can bring positive outcomes in decision making (Ansari et al.,
2008). Connection of power mainly rely on communication; when the individual shares
knowledge about their connection and professional strengths a manager can use the
information to assign the employee to a specific project and demonstrate that they value
49
their opinions during decision making (Cullen-Lester et., 2016). The benefit of
connection of power, when used effectively through awareness and communication, is
that employees can use it at all levels within the organization to promote career and
information resources (Ansari et al., 2008; Saxena, 2019).
As mentioned previously, one of the abilities of a leader is to influence others
(Northouse, 2016). Regardless of the leadership style, a leader must possess the ability to
influence employees to follow the organization's policy, mission, and value at an
individual, group, and organization level (Hartog et al., 2011; Northouse, 2016).
However, a leader’s ability to influence his/her employee depends on the type of power
the leader possesses within that organization (Haller et al., 2018; Saxena et al., 2019).
In health care environments, employees with expert power are often included in
decision-making due to their expertise. Similarly, medical professionals often possess
expert power over their patients because the patient-perceived them to be knowledgeable
in their field (Kreitner et al., 2010). Power and leadership are essential to influence
employee behavior change and influence employees to get things done (Saxena et al.,
2019). Information power is crucial in medical settings because physicians often rely on
their nurse or medical laboratory analysis to provide a proper diagnosis and treatment for
their patients (Paynton, 2008). While informant power is known to be beneficial in health
care settings (Paynton, 2008), a leader with an autocratic leadership style who shows
little value to their subordinate cooperation might choose to dismiss the employee
information and create a treatment plan without their staff cooperation (Stanfou et al.,
2017).
50
Research on power is still premature because most research conducted on power
base solely investigated leadership style rather than employee outcomes. About ethical
leadership, a study found that expert and referent power plays a crucial role in the
relationship between ethical leadership and employee outcomes through role modeling
(Haller et al., 2018; Hoogh et al., 2009), an ethical leader with referent power can
influences employees to perceive them as a role model, indicating that socially
responsible power use within the boundary of ethical leadership may be the key to help
understand ethical leadership effect on employee outcomes (Haller et al., 2018; Hoogh et
al., 2009; Vevere, 2014).
Summary and Transition
The literature presented in this chapter reinforces the importance of ethical leader
and employee accountability in a medical laboratory. Medical laboratories provide 80%
of data for diagnostic, monitoring, and treatment of patients. Additionally, they hold
responsibilities to society to use their resources efficiently to provide accurate results
useful to public health for disease control and monitoring; therefore, providing a high
quality of laboratory service should be prioritized in practice, which was one of the
critical components this study addresses. In recent years of ethical scandals in medical
laboratories severely affected public safety resulting in death, long-lasting critical illness
and some cases, and misdiagnosis. The need for ethical leadership and employee
accountability has made it appeal in healthcare studies; yet there is little evidence
regarding what measure and protocol ethical leadership should follow to increase
accountability in medical laboratory employees.
51
Power is an essential process in an organization. Getting things done and
managing employees requires power. While referent and expert power have been shown
to have a positive relationship with ethical leadership in employees’ outcomes through
role modeling (Hartog et al., 2011), very little is known about the effect of ethical
leadership and power on employee accountability and the relationship between power
and leadership style on employee outcomes, especially in medical laboratory medicine. In
this literature review, the different bases of power were discussed, and scholarly findings
on the effectiveness of each power base were presented.
There are numerous studies on autocratic, participative, laissez-faire,
transactional, transformational, servant, authentic, and ethical leadership, as well their
outcomes on employees' behaviors and organization functions. As the antecedent and
outcomes of ethical leadership on employees' accountability remained under-researched,
all of which are beneficial for medical laboratory organizations. We have yet to
understand the predictive effect of a leader’s ethical behavior on employee accountability
in medical laboratory organizations. Understanding the effect of ethical leadership on
employee ethical behavior of accountability professionals in medical laboratory settings
through the SLT and the MDT can help medical laboratory leaders understand the
behavior, leadership practice, and power ability they need to influence ethical behaviors
in their employees.
In Chapter 3, the research design, methodology, the population, including
participant selection, instrumentation, data collections, and analysis, are discussed. Treat
to validity, ethical procedure, and participants' protections are also explored. In Chapter
52
4, data provided from medical laboratory employees from Western New York are
analyzed. The assessments used for the research are the ELWQ and LAS and were
distributed using SurveyMonkey. Chapter 5 explores the findings of the study and make
connections between the findings to the literature and the theoretical framework. The
limitations and implications of the study are explored, and recommendations for future
research are provided.
53
Chapter 3: Research Methods
This quantitative study examined the influence of ethical leadership on
employees' accountability behaviors in medical laboratory settings and whether time
assigned to a manager, measured in months, moderated the relationship between the
perception of a manager’s ethical leadership and the assigned staff’s employee
accountability behaviors. Medical laboratory employees are responsible for conducting
tests, collecting samples, monitoring, treating, and diagnosing diseases. Medical
laboratory employees often work in hospitals, physician offices, clinics, or private
laboratories. As their work plays a significant part in health care and environmental
safety, medical laboratory employees are trained and educated for their positions and job
functions (Cocks, 2016; Gamble et al., 2014; Wijeratne et al., 2020). Within laboratory
settings, medical laboratory managers or supervisors often have many years of
experience, with advanced training and knowledge of laboratory functions. However,
these medical laboratory managers are often left unaware of the importance of ethical
leadership in medical laboratory practice. Additionally, they are unaware of the
importance of ethics in decision-making and the characteristics needed to influence
ethical behavior in their employees (Bruns et al., 2015; Gronowski et al., 2019;
Khalajzadeh et al., 2019).
Even though ethical leadership studies in medical laboratory organizations are
scarce, there is a plethora of research on the importance of ethical leadership in general
(Ghiasipour et al., 2017; Wijeratne et al., 2020). To date there is no current research that
examines the influence of ethical leadership in medical laboratory settings on employee
54
accountability behaviors. This study explores the effect of ethical leadership in medical
laboratories and examine the relationship between accountability behaviors and ethical
leadership.
This chapter covers the research design, explains the study's methodology, and
describes the instruments used to measure ethical leadership and accountability
behaviors. It also overviews the sampling procedures, data collection, cleaning process,
and data analysis using a multiple regression approach. The validity, ethical procedures,
and participants' protection are then presented.
Research Design and Rationale
Upon approval by Walden University’s Institutional Review Board, a quantitative
analysis to examine ethical leadership's influence on accountability behaviors in medical
laboratory employees was conducted. Walden University’s approval number for this study is
12-01-21-0786234.
The research questions and hypotheses for this study were:
Research Question 1 (RQ1): Does perceived medical laboratory manager ethical
leadership predict their assigned laboratory staff’s employee accountability behaviors?
Null Hypothesis (H01): Perceived medical laboratory manager ethical leadership
does not predict their assigned laboratory staff’s employee accountability behaviors.
Alternative Hypothesis (Ha1): Perceived medical laboratory manager ethical
leadership predicts their assigned laboratory staff’s employee accountability behaviors.
Research Question 2 (RQ2): Does the total of months laboratory staff is assigned
to work for a medical laboratory manager moderate the relationship between their
55
perception of their managers ethical leadership and the assigned staff’s employee
accountability behaviors?
Null Hypothesis (H02): The time laboratory staff are assigned to work for a
medical laboratory manager does not moderate the relationship between their perception
of their managers’ ethical leadership and assigned staff’s employee accountability
behaviors.
Alternative Hypothesis (Ha2): The time laboratory staff are assigned to work for a
medical laboratory manager moderates the relationship between their perception of their
manager’s ethical leadership and the assigned staff’s employee accountability behaviors.
Participants were surveyed to examine the influence of ethical leadership on
accountability behaviors and to examine whether the total time as measured in months,
assigned to a medical laboratory manager moderates the relationship between their
assessed ethical leadership in predicting medical laboratory personnel accountability
behaviors. This study had three primary variables: 1) The predictor variable is ethical
leadership, as measured by the ELWQ, 2) The outcome variable is accountability
behavior, as measured by the Leader Accountability Scale, and 3) The study moderator
variable is total time as measured in months assigned to a medical laboratory manager, as
identified by the medical laboratory employee’s demographic questionnaire.
In this study, medical laboratory employee, were examined to determine the
influence of ethical leadership on employees' accountability behaviors in medical
laboratory settings. A multiple regression analysis was performed to examine the
relationship between medical laboratory manager assessed ethical leadership and medical
56
laboratory personnel accountability behaviors using Statistical Package for the Social
Science software. Multiple regression analysis was used for this study based on its ability
to provide a further understanding of the nature of the variables and consistent and
effective use in ethical leadership studies (Belschack et al., 2018; Brown et al., 2005;
Bruns et al., 2015; Engelbrecht et al., 2017). A moderation analysis was performed to
examine whether the total time as measured in months assigned to a medical laboratory
manager moderates the relationship between their assessed ethical leadership and medical
laboratory personnel accountability behaviors.
In this study, participants were selected from different laboratory locations in
Western upstate New York using Survey Monkey. Consequently, the intermediary
relationships observed regarding ethical leadership influence on employees'
accountability behaviors were analyzed. The multiple regression analysis research design
chosen for this study can serve as a foundation for further ethical leadership research in
laboratory medicine. The study focused on determining the influence of ethical leadership
on employee accountability behavior by conducting quantitative research on a current
unknown subject. The outcomes from this study can contribute to knowledge in medical
laboratory organizations, where new theories can be created and tested. Additionally, this
study's groundwork can also serve as a road map for further ethical leadership study in a
broader population of medical laboratory medicine from other geographic areas and other
specialization in health care.
57
Methodology
As mentioned, the goal of this quantitative study was to determine the influence
of ethical leadership on employees' accountability behaviors in medical laboratory
settings. Qualitative research is used when the researcher does not know what to expect
and is used to answer why something is observed to develop an approach for a problem.
Qualitative research data are collected from in-depth interviews, dyads, focus groups, and
observation (Busetto et al., 2020). Quantitative research is conclusive because the
research method includes quantification to summarize the study’s data and is used in
research to generalize the result to a larger population (Busetto et al., 2020). Given the
current situation of COVID-19, a qualitative study was not beneficial for this study due to
fear of virus exposure. Further, given the nature of the study, a quantitative method was
preferable because it provided evidence on ethical leadership and employee behaviors
and helped test the relationship between medical laboratory managers perceived ethical
leadership and medical laboratory employee accountability.
Population
The target population for this study was medical laboratory employees in large
medical laboratory company that specialized in medical testing in Western New York. To
have a better understanding of the population participants were subjected to a
demographic questionnaire that focus on the participants age, months of employment,
employment status, and month under their current manager. The population was selected
since ethical leadership studies often focus on managers or executives and the employee
perception is lacking in existing research. Medical laboratory managers oversee the
58
laboratory functions, ensure a profitable business, and adhere to the laboratory
regulations and practice rules, thus are often considered to be the face of their department
(Gamble et al., 2014; Wijeratne et al., 2020). Medical laboratory employees perform
tests, collect samples that play crucial roles in patients' diagnosis and treatment (Cocks,
2016; Wijeratne et al., 2020). Therefore, this quantitative research examined the
influence of ethical leadership on employees' accountability behaviors in large medical
laboratory settings and examined whether time assigned to a manager, measured in
months moderates the relationship between their perception of their manager’s ethical
leadership and assigned staff’s employee accountability behaviors.
Sampling and Sampling Procedures
The purpose of this study was to specifically examine ethical leadership influence
on accountability behaviors in medical laboratory employees. In a quantitative study, the
researcher's role is to select participants that align with the nature and the methodology of
the study to ensure the generalization of the population being examined. Given that the
study solely focused on medical laboratory employees, a purposive sampling design was
appropriate.
Purposive sampling is when the researcher selects a sample based on their
knowledge of the population (Black, 2010). In this purposive sampling study design, the
participants were selected based on the need of the study. Therefore, participants who did
not fit the criteria and profile were rejected and excluded from the study. This sampling
design is beneficial for the study because it helped select medical employees in different
59
demographic areas, such as, years of employment, time assigned to a medical laboratory
manager, gender, and employment status.
To determine an acceptable sample size for this study, a sample size analysis was
conducted. As mentioned, a current study evaluating the influence of ethical leadership
on medical laboratory organization does not exist. Therefore, an estimation of the target
population size based on previous findings was unattainable. The sample size analysis
included statistical power, alpha level, and effect size. The purpose of conducting a
statistical power for this study was to determine the strength of the relationship between
the variables and how likely a false hypothesize could be rejected. The statistical power
determined the probability and the authenticity of the relationship that was likely to occur
between the variables. For example, an acceptable level of margin error is set at an alpha
level of a = .05 predict that there is a 95% chance that the result is be correct with a 5%
chance that the result could be wrong (Burkholder, 2013; Frankfort-Nachmias et al.,
2008;).
The G* Power 3.1 online software was used to determine the appropriate sample
size for this study. A multiple regression, fixed model, single coefficient with a t test was
used for the analysis. Cohen (1992) stated that the effect size measures the strength of the
relationship between the variables. A larger effect size indicates a strong relationship
between the variables. Cohen (1992) indicated that effect size falls under three
categories: ƒ2= 0.2 (small), ƒ2= 0.15 (medium), ƒ2= 0.35 (large). When the study's sample
size is small, the difference between the two-group means is less than 0.2 standard
deviations. A standard deviation that is less than 0.2 is be considered biased even if the
60
results are statistically significant (Cohen, 1988; Cohen, 1992). Based on a power (1-ß
error probability) of .80, a level of significance of a = .05, number of predictors 1, and
moderate size effect ƒ2= 0.15, G* Power 3.1 calculated a sample size of 55 participants
for the appropriate sample size for this study. A 10% rate was added to the sample size,
resulting in 61 participants to prevent sample attrition and missing data.
Figure 1
G* Power 3.1 Sample Size Analysis
Procedures for Recruitment
An effective sampling method enables drawing a more precise conclusion and
helped strengthen the validity and generalizability of the study. Survey Monkey Audience
tool was used to recruit participants for the study. The software allows access to millions
of participants around the world and gives flexibility to the researcher to select the target
options, target region within a country or state for their audience base on the study
(Knussen & McFayden, 2010). Because the study was conducted in Western upstate New
York, the target location and target options were adjusted in the Survey Monkey software
0.6 0.65 0.7 0.75 0.8 0.85 0.9 0.95
0
10
20
30
40
50
60
70
80
90
Total sample size
= 0.15
Effect size f²
t tests - Linear multiple regression: Fixed model. single regression coefficient
Tail(s) = Two. Number of predictors = 1. α err prob = 0.05. Effect size f² = 0.15
Power (1-β err prob)
61
to ensure that qualified participants were recruited for the study. A letter of invitation,
including a description of the goals and purpose of the study, with a welcome statement
that described the voluntary nature of the participants, confidentiality, anonymity, and the
researcher contact information was sent to the selected and qualified participants through
Survey Monkey Audience.
Instrumentation and Operationalization of Constructs
Any alterations or modifications of the scales were prohibited without permission
from the authors. To have access to both scales for the study, permission of request letter
was sent to the authors. The authors provided a brief description of the study and how the
scale was used for the study. A copy of the permission emails and authorizations to use
the scales in this study are in Appendix B.
Ethical Leadership at Work Questionnaire
Medical laboratory managers' leadership was examined using the ELWQ
developed by Kalshoven et al. (2011). The ELWQ is shown to be effective in measuring
ethical leadership outcomes, and ethical leadership behaviors. The ELWQ is a 46-items
assessment based on a 5-point Likert scale of response that range from 1 (strongly
disagree) to 5 (strongly agree) divided into seven categories: fairness, integrity, ethical
guidance, people orientation, power-sharing, role clarification, and concern for
sustainability. The ELWQ focus on ethical leader behaviors and actions. The scale was
developed based on theories interviews with managers and employees, where employees
were presented with the ELWQ questionnaire to rate how frequently their leaders display
certain behaviors and how they perceive their managers as ethical leaders (Kalshoven et
62
al., 2011). The ELWQ not only focuses on the leader’s behavior but also captures how
the leader interacts with his/her subordinates through role modeling and moral
engagement. (Kalshoven et al., 2011). To investigate the validity of ethical leaders’
behaviors as measured by the ELWQ, Kalshoven et al. (2011) evaluated the relationship
of ethical leader behavior to other leadership styles and work-related attitudes. The result
shows good psychometric properties of the ELWQ, all reliabilities for measuring ethical
leaders' behaviors were above .80 (Kalshoven et al., 2011).
Further ethical leaders’ behaviors were positively correlated with transformational
and transactional leadership, indicating good convergent validity, and negatively
correlated with passive and autocratic leadership, showing good discriminant validity
(Kalshoven et al., 2011). All seven ethical leaders’ behaviors measured by the ELWQ
were found to positively correlate with perceived leadership effectiveness, team
commitment, organizational commitment, trust, satisfaction, and negatively related to
cynicism, indicating that the ELWQ has good validity with high reliabilities for
measuring ethical leader behaviors (Kalshoven et al., 2011). The sample used for this
research was from financial, business, health care, government, construction, and
education settings (Kalshoven et al., 2011).
Leader Accountability Scale
Employees' accountability behaviors were examined using the LAS, a 10-point
Likert Scale that contains 66 items developed by Wood and Winston (2007). Six experts
in leader accountability and scale development reviewed and modified the LAS items
into three subscales and indicated that the three unidimensional scale face validity criteria
63
exist (Wood et al., 2007). The Responsibility scale measures the leader's acceptance of
the responsibilities that entailed his/her role; the Openness scale measures the leader's
public disclosure and communication, and the Answerability scale measures the leader's
answerability for his/her actions and decisions (Wood et al., 2007). The population of
leaders that were evaluated was predominately male, with a sample size of 148. The
participants were also characterized based on the length of time they had a relationship
with the leader. Those who did not fill out the demographic questionnaire were removed
(Wood et al., 2007). Eighteen items were included in the Responsibility scale and
analysis from 148 participants reveals that all the items in the scale measure the same
factor. The Cronbach coefficient for the Responsibility subscale was high with a
coefficient alpha score of 0.98, indicating that the scale was highly reliable. Twenty-five
items were included in the Openness scale and responses from 148 participants showed
that the scale had a high degree of reliability with a coefficient alpha score of 0.99 (Wood
et al., 2007). Sixteen items were included in the Answerability scale. Redundant items
were removed and showed that the Answerability scale has a high degree of reliability
with a coefficient alpha score of 0.98 (Wood et al., 2007).
To avoid fatigue, without deviating from what the scale was built to measure.
The optimization of the LAS to merge the LAS into a single-factor scale come into
question. DeVellis (2003) suggests that shortening a scale should only be done when the
researcher "has the reliability to spare." After further review, the scoring method of the
LAS scale remained the same, with a range score per item from 0 to 10, with a Cronbach
alpha score of .98 (Wood et al., 2021). The LAS was optimized into a single-factor scale
64
that contains 5 items with an accountability score ranging from 0 to 50 (Wood et al.,
2021). Therefore, the shorter version of the LAS scale was used in this study with
permission and authorization from the author to measure medical laboratory employee
accountability.
Medical Laboratory Employees Demographic Questionnaire
The medical laboratory employee demographic questionnaire allows the
researcher to have a better understanding of the population and to provide an accurate
description of the research sample (Hudges et al., 2016). The questionnaire helped gain
background information on medical laboratory employees such as age, gender, number of
months with their current employer, work status, and months working with their current
leader. The responses from the demographic survey provided a context for the survey
data and helped describe my participants and better analyzed my data. The questions that
form the demographic questionnaire were essential to the research and were created to
achieve non-discrimination and inappropriate uses of terms for sexual preference
(Hudges et al., 2016). Further, responses from the demographic questionnaire helped look
at whether the total time an employee is assigned to a manager, in months, impacts
perception of ethical leadership and influence on employee accountability behavior.
Data Collection
Participants were provided with an option to participate or decline participation in
the study. In the first page of the survey an informed of consent form was provided, as
seen in appendix C, where the participants were required to acknowledge their
participation in the study before any data can be collected. The participant privacy was
65
taking into great importance in this study; therefore, the data collection did include any
participant name, the participant medical laboratory manager’s name and laboratory
address, which was explained in the informed consent page. Once consent was received,
the Survey Monkey software directed the participant to the demographic questionnaire to
ensure that the participant meet the criteria to participate in the study, as seen in appendix
B. After the participant completed the demographic questionnaire, and if requirement
were met the participant was directed to the ELWQ and LAS surveys. Data was collected
using the SurveyMonkey cloud-based software, the participant were given an exit page
with my email address, if further contact or information was needed the participants were
thanked for their time and were reminded that their data is private, and information given
will remain confidential and only be used for the sole purpose of the study (Appendix E).
The number of completed responses needed and qualification rate was adjusted in the
SurveyMonkey Audience software; uncompleted questionnaires were excluded before
analysis, data collection, and data cleaning were completed. Responses were
automatically transferred to the IBM SPSS Statistics for analysis and interpretation.
Data Analysis Plan
Puteh and Ong (2017) state that the SPSS software is effective and preferable to
perform parametric and non-parametric analysis. It allows the researcher to check the
assumptions of a test, to identify normality problems, missing values, and is the most
efficient software for frequency, EFA, and correlation analysis (Puteh & Ong, 2017). The
data obtained was from each participant. Each participant was issued an identification
code when entered in SPSS. The data was analyzed at the group level to prevent the
66
correlation of the independent variables in the regression model and to maximize the
efficiency of the data as a function of statistical power.
Data was analyzed using a multiple regression analysis to examine the
significance of the hypothesized predictive effect of ethical leadership on employee
accountability behaviors using the IBM SPSS Statistics. A moderation analysis was
conducted to examine the influence on the total of months under management between
assessing their ethical leadership and medical laboratory employees' accountability
behaviors using the IBM SPSS Statistics.
The following section outlined this study's research questions and associated
hypotheses as well as the analysis used to address each question.
Research Question 1 (RQ1): Does perceived medical laboratory manager ethical
leadership predict their assigned laboratory staff’s employee accountability behaviors?
To address RQ 1 a multiple regression analysis using SPSS was performed to determine
the relationship between ethical leadership and employee accountability behaviors.
Research Question 2 (RQ2): Does the total of months laboratory staff is assigned
to work for a medical laboratory manager moderate the relationship between their
perception of their managers ethical leadership and the assigned staff’s employee
accountability behaviors?
To address RQ 2 a moderation analysis was performed using SPSS to examine whether
the total time assigned to a manager, measured in months moderates the relationship
between their perception of their manager’s ethical leadership and assigned staff’s
employee accountability behaviors.
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Threats to Validity
One of the study's assumptions is that this research's findings is beneficial for
medical laboratory organizations. Medical laboratory managers are expected to oversee
the laboratory's functionality. They are appointed to this management position without
any knowledge or training on ethical leadership or the importance of ethical leadership in
medical laboratory practice. Factors that might have altered this study's validity are
participants biased or lack of honesty. A potential threat to external validity that was
identified was the convenience of the sample. Only medical employees in Western New
York who fits the parameter had access to the study. Therefore, due to the small sample
size, the study's result only generalized that population and might not generalized to other
populations in health care. A second threat to external validity was each participant
completed the questionnaire online on their own. Therefore, it was unclear if any
environmental factors influenced their response.
Ethical Procedures
When conducting a study, it is essential to maintain an ethical standard. It is
important that each participant understands the need for the study and understand that
they have the right to withdraw from the study without retribution. Additionally, the
participants need to be aware of how their responses are interpreted in the study and that
participation in the study is voluntary. The role of the researcher is to ensure
confidentiality, to provide explicit informed consent in languages that the participants
understand, and to make sure that the study will not cause harm to the participants. One
of the ethical advantages of using SurveyMonkey for this study was that there was less
68
risk of invading privacy; the IP address of the respondent was not collected, which leaves
it unattainable to trace the respondent. Additionally, it was more feasible for the
respondent to understand the use of the data and other dissemination in the informed
consent form (Knussen & McFayden, 2010; Pramod et al., 2016).
Advance technology can cause potential misuse. Therefore, the researcher must
keep their data secure through the password-protected file, firewalls, and encryption to
protect their data confidentiality (Hand, 2018). Furthermore, technology keeps evolving
with new trends, new software, and new protocols for data storage; researchers must
remain updated and aware of new protocols regarding data storage sensitivity to obtain
the maximum assistance for their data security. Privacy plays a central role in data ethics.
Therefore, the researcher must be vigilant on how they store their device and should
always be cautious on the device they use when accessing their data (Hand, 2018; Fisher,
2013).
Summary and Transition
Chapter 3 discussed the usage of quantitative research to examine the influence of
ethical leadership on employees' accountability behaviors in medical laboratory settings.
Chapter 3 presented the research method for the study, how the variables were measured
were presented. The table of the G* Power 3.1 Sample size analysis that was performed
to select the sample size for the study was also presented and interpreted. The data
analysis plan, including the ethical procedures that were followed during the data
collection were presented.
69
In Chapter 4, data provided from medical laboratory managers and medical
laboratory employees from Western New York were analyzed. Multi regression analysis
was used to determine the predictive effect between ethical leadership and employee
accountability behaviors. A moderation analysis was used to examine whether the total of
months under management moderates the relationship between medical laboratory
managers assess ethical leadership in predicting employee accountability behaviors. The
assessments that were used for the research were the ELWQ and LAS and were
distributed using SurveyMonkey. The data was analyzed using SPSS. In chapter 3,
threats to validity were described, including the ethical procedures that was followed to
protect the participants' confidentiality and data. Chapter 5 explores the findings of the
study and make connections between the findings to the literature and the theoretical
framework. The limitations of the study were explored, and recommendations for future
research were be provided.
70
Chapter 4: Results
The purpose of this quantitative study was to determine the effect of a laboratory
manager’s perceived ethical leadership on their assigned laboratory employees'
accountability behaviors. It also examined if the time working for a given medical
laboratory manager moderates the relationship between their assessed ethical leadership
in predicting their laboratory employee’s accountability behaviors. In this chapter, the
findings of the data analyses are presented. Descriptive statistics were conducted to
examine the trends in the demographic factors and variables of interest. To address the
research questions, a series of linear regression models were conducted. Prior to analysis,
the assumptions of a linear regression were evaluated. Statistical significance was
evaluated at the generally accepted level, α = .05.
Study Sample
A total of 75 participants provided consent to respond to the survey questionnaire.
Six of the participants did not complete most of the survey and were subsequently
removed during the data cleaning process. Data collection took 1 month to complete,
with a 92% completion response rate. As mentioned in Chapter 3, the target population
for this study was medical laboratory employees in large medical laboratory companies.
Therefore, each participant was asked to report the number of employees working in their
laboratory. Potential outliers were examined through standardizing the values.
Tabachnick and Fidell (2019) indicated that outliers correspond to z-scores exceeding +
3.29 standard deviations from the mean are extreme values. None of the data for ethical
71
leadership and accountability behaviors exceeded the thresholds. Therefore, no outliers
were removed from the dataset. The final sample consisted of 69 participants.
Demographic Breakout
The participants of the study consisted of 16 men (23.19%) and 53 women
(76.8%) located in Western New York who specialize in medical laboratory testing. Most
of the sample were permanent full-time employees (n = 46; 66.7%). Frequencies and
percentages for gender and current employment status are presented in Table 1.
Table 1
Frequency Table for Gender and Current Employment Status
Variable
n
%
Gender
Male
16
23.19
Female
53
76.81
Current employment status
Permanent Full-Time Employee (40 or more hours per week)
46
66.67
Permanent Part-Time Employee (Less than 40 hours per week)
13
18.84
Temporary Full-Time Employee (40 or more hours per week)
3
4.35
Temporary Part-Time Employee (40 or more hours per week)
3
4.35
Per Diem (Employed by the day and work based on the laboratory needs
for staff)
2
2.90
On Call (Available to work at any time when contacted by your
employer)
2
2.90
Age of participants ranged from 18 to 70 years, with M = 35.65 years and SD =
12.00. Years with current employer ranged from 0 to 44 years, with M = 7.74 years and
SD = 8.98. Number of employees working at medical laboratory ranged from 0 to
80,000, with M = 1609.49 and SD = 9835.83. The summary statistics for age, years with
72
current employer, and number of employees working at a medical laboratory can be
found in Table 2.
Table 2
Summary Statistics Table Age, Years with Current Employer, and Number of Employees
Working at Medical Laboratory
Variable
n
Min
Max
M
SD
Age
69
18.00
70.00
35.65
12.00
Years with current employer
69
0.00
44.00
7.74
8.98
Number of employees working at
medical laboratory
67
0.00
80,000.00
1,609.49
9,835.83
Descriptive Statistics
Ethical leadership scores ranged from 1.74 to 4.89, with M = 3.52 and SD = 0.54.
Overall months assigned ranged from 0 to 300 months, with M = 49.68 months and SD =
65.29. Accountability behaviors scores ranged from 1.00 to 11.00, with M = 7.32 and SD
= 2.69. The summary statistics for the variables of interest are presented in Table 3.
Table 3
Summary Statistics Table for Variables of Interest
Variable
n
Min
Max
M
SD
Ethical leadership
69
1.74
4.89
3.52
0.54
Overall months assigned
69
0.00
300.00
49.68
65.29
Accountability behaviors
69
1.00
11.00
7.32
2.69
Correlations Among Study Variables
A series of Pearson correlations were conducted to examine the bivariate
associations between the variables of interest. The findings indicated a significant
positive relationship between ethical leadership and accountability behaviors (r = .58, p <
73
.001). There was not a significant association between overall months assigned and
ethical leadership (r = -.08, p = .525). There was also not a significant association
between overall months assigned and accountability behaviors (r = -.10, p = .402).
Table 4 presents the findings of the Pearson correlations.
Table 4
Pearson Correlations Between the Main Study Variables
Ethical
leadership
Overall months
assigned
Accountability
behaviors
Ethical leadership
1.00
Overall months assigned
-.08
1.00
Accountability behaviors
.58*
-.10
1.00
*p < .05 level.
Tests of Assumptions
Prior to analysis, the assumptions of linearity, normality, homoscedasticity, and
absence of multicollinearity were tested to ensure that the data were adequate for
inferential analysis using multiple regression.
Linearity
The assumption of linearity was tested with two scatterplots between ethical
leadership and overall months assigned with accountability behaviors. The scatterplot
between ethical leadership and accountability behaviors depicts a strong positive
association (see Figure 2). While the scatterplot between overall months assigned and
accountability behaviors depicts a relatively weak inverse association (see Figure 3).
74
Figure 2
Scatterplot Between Ethical Leadership and Accountability Behaviors
Figure 3
Scatterplot Between Overall Months Assigned and Accountability Behaviors
75
Normality
Normality was first tested visually with normal P-P scatterplots. The data did not
display deviations from the normality trend line, providing evidence of a normal
distribution (see Figures 4 and 5).
Figure 4
Normal P-P Scatterplot for Regression with Ethical Leadership Predicting
Accountability Behaviors
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Figure 5
Normal P-P Scatterplot for Regression with Ethical Leadership and Total Months
Assigned Predicting Accountability Behaviors
In addition to the visual inspection of the scatterplots, the skewness and kurtosis
statistics were examined for each of the variables of interest. According to Kline (2010),
to meet the assumption for univariate normality: skewness should fall between -2.0 and
2.0, while kurtosis should fall between -7.0 and 7.0. For ethical leadership, the skewness
was -0.57 and the kurtosis was 1.54. For overall months assigned, the skewness was 2.04
and the kurtosis was 4.16. The skewness value for overall months assigned slightly
exceeded the threshold of 2.00, which can be attributed to some participants having over
200 months assigned to work for a medical laboratory manager. For accountability
behaviors, the skewness was -0.56 and the kurtosis was -0.52. Due to the P-P plots
depicting a normal distribution, and overall months assigned slightly exceeding the
77
skewness threshold no adjustments were made to the data and the analysis was continued
as initially proposed.
Homoscedasticity
Homoscedasticity was tested with residuals scatterplots. The data in the residuals
scatterplot did not depict a recurring pattern, providing evidence that the assumption of
homoscedasticity was supported (see Figure 6 and 7). In addition, the data in the
scatterplots to test for linearity (see Figures 2 and 3) demonstrated no funneling or coning
across the fit line. Therefore, there was sufficient evidence that the assumption of
homoscedasticity was supported.
Figure 6
Residuals Scatterplot for Regression with Ethical Leadership Predicting Accountability
Behaviors
78
Figure 7
Residuals Scatterplot for Regression with Ethical Leadership and Total Months Assigned
Predicting Accountability Behaviors
Multicollinearity
The assumption for absence of multicollinearity was also tested due to the
examination of multiple independent variables. Variance inflation factors (VIFs) and
tolerance values were used to verify the absence of multicollinearity assumption. Stevens
(2010) indicated that VIFs greater than 10 and tolerance values below .40 indicate that
there is a high association among the predictors and the assumption for absence of
multicollinearity would not be supported. The VIF values were 1.01 and 1.02, while the
tolerance values were 0.99 and 0.98. Therefore, there was sufficient evidence that the
absence of multicollinearity assumption was supported. Table 6 presents the findings of
the VIFs.
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Table 5
Variance Inflation Factors for Ethical Leadership, Total Months Assigned, and Ethical
Leadership*Overall Months Assigned.
Variable
VIF
Tolerance
Ethical leadership
1.01
0.99
Overall months assigned
1.02
0.98
Ethical leadership*Total months assigned
1.02
0.98
Statistical Analysis
Research Question 1 (RQ1): Does perceived medical laboratory manager ethical
leadership predict their assigned laboratory staff’s employee accountability behaviors?
Null Hypothesis (H01): Perceived medical laboratory manager ethical leadership
does not predict their assigned laboratory staff’s employee accountability behaviors.
Alternative Hypothesis (Ha1): Perceived medical laboratory manager ethical
leadership predicts their assigned laboratory staff’s employee accountability behaviors.
To address research question one, a linear regression was conducted to examine
the predictive relationship between ethical leadership and accountability behaviors. The
predictor variable corresponded to ethical leadership and the outcome variable
corresponded to employee accountability behaviors.
The coefficient of determination, R2, was .337, indicating that 33.7% of the
variance in accountability behaviors can be explained by ethical leadership. The Durbin-
Watson statistic was utilized to examine the data for autocorrelation. The Durbin-Watson
statistic can range from 0-4, and the assumption is supported if the Durbin-Watson
statistic approaches 2.00 (Field, 2013). The Durbin-Watson statistic was 2.06, indicating
80
that there was not the presence of autocorrelation among the sample. Table 6 summarizes
the results of the regression model.
Table 6
Model Summary for Linear Regression with Ethical Leadership Predicting
Accountability Behaviors
Model
R
R2
Adjusted R2
SE of Estimate
Durbin-Watson
Regression
.580
.337
.327
2.20
2.06
The ANOVA statistics were examined to identify the significance of the
collective regression model. The results of the linear regression model were significant,
F (1, 67) = 34.03, p < .001, indicating that ethical leadership has a significant predictive
relationship with accountability behaviors. The ANOVA table for research question one
is presented in Table 7.
Table 7
ANOVA Table for Linear Regression with Ethical Leadership Predicting Accountability
Behaviors
Model
Sum of Squares
df
MS
F
p
Regression
165.47
1
165.47
34.03
<.001
Residual
325.74
67
4.86
Total
491.21
68
The coefficients statistics examine the fluctuations in accountability behavior
based on increases in ethical leadership. With every one-unit increase in ethical
leadership (B = 2.91, t = 5.83, p < .001), accountability behaviors scores increased by
approximately 2.91 units. Therefore, the null hypothesis for research question one (H01)
81
was rejected. The coefficients for the linear regression to address research question one is
presented in Table 8.
Table 8
Coefficients for Linear Regression with Ethical Leadership Predicting Accountability
Behaviors
Variable
B
SE
β
t
p
Ethical Leadership
2.91
0.50
0.58
5.83
< .001
Research Question 2 (RQ2): Does the total of months laboratory staff is assigned
to work for a medical laboratory manager moderate the relationship between their
perception of their managers ethical leadership and the assigned staff’s employee
accountability behaviors?
Null Hypothesis (H02): The time laboratory staff are assigned to work for a
medical laboratory manager does not moderate the relationship between their perception
of their managers’ ethical leadership and assigned staff’s employee accountability
behaviors.
Alternative Hypothesis (Ha2): The time laboratory staff are assigned to work for a
medical laboratory manager moderates the relationship between their perception of their
manager’s ethical leadership and the assigned staff’s employee accountability behaviors.
To address research question two, a moderation analysis was conducted using a
multiple regression to examine whether total months laboratory staff is assigned to work
for a medical laboratory manager moderates the relationship between ethical leadership
and employee accountability behaviors. The predictor variable corresponded to ethical
leadership and the outcome variable corresponded to employee accountability behaviors.
82
The moderator variable corresponded to total months assigned. To evaluate the
moderating effect, an interaction term was developed between ethical leadership*total
months assigned.
The coefficient of determination, R2, was .342, indicating that 34.2% of the
variance in accountability behaviors can be explained by ethical leadership, overall
months assigned, and ethical leadership*overall months assigned. The Durbin-Watson
statistic was 2.08, indicating that there was not the presence of autocorrelation among the
sample. Table 9 summarizes the results of the regression model.
Table 9
Model Summary for Linear Regression with Ethical Leadership, Overall Months
Assigned, and Ethical Leadership*Overall Months Assigned Predicting Accountability
Behaviors
Model
R
R2
Adjusted R2
SE of Estimate
Durbin-Watson
Regression
.585
.342
.312
2.23
2.08
The ANOVA statistics were examined to identify the significance of the
collective regression model. The results of the overall linear regression model were
significant, F (3, 65) = 11.26, p < .001, indicating that collectively ethical leadership,
total months assigned, and ethical leadership*total months assigned has a significant
predictive relationship with accountability behaviors. The ANOVA table for research
question two is presented in Table 10.
83
Table 10
ANOVA Table for Linear Regression with Ethical Leadership, Overall Months Assigned,
and Ethical Leadership*Overall Months Assigned Predicting Accountability Behaviors
Model
Sum of Squares
df
MS
F
p
Regression
167.93
3
55.98
11.26
<.001
Residual
323.27
65
4.97
Total
491.21
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The coefficients statistics were examined to identify the significance of the
interaction term. Due to the interaction term, ethical leadership*total months assigned,
not being significant in the model (B = -0.00, t = -0.41, p = .681), there was no evidence
that total months assigned moderates the relationship between ethical leadership and
accountability behaviors. The null hypothesis for research question two (H02) was not
rejected. The coefficients for the linear regression to address research question two are
presented in Table 11.
Table 11
Coefficients for Linear Regression with Total Months Assigned Moderating Relationship
between Ethical Leadership and Accountability Behaviors
Variable
B
SE
β
t
p
Ethical leadership
2.90
0.51
0.58
5.72
< .001
Total months assigned
-0.00
0.00
-0.06
-0.61
.543
Ethical leadership*total months
assigned
-0.00
0.01
-0.04
-0.41
.681
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Summary and Transition
The purpose of this quantitative study was to determine the effect of a laboratory
manager’s perceived ethical leadership on their assigned laboratory employees'
accountability behaviors. The purpose also explores if the time working for a given
medical laboratory manager moderates the relationship between their assessed ethical
leadership in predicting their laboratory employee’s accountability behaviors. In this
chapter, the findings of the data analyses were presented. Descriptive statistics were
conducted to examine the trends in the demographic factors and variables of interest. The
participants of this study consisted of 16 males and 53 females. 46 out of the 69
participants were full-time employees, with the age rage between 18 to 70 years old. The
summary statistic table shows the ranges and mean for the variables of interest: ethical
leadership range from 1.74 to 4.89, with M = 3.52, employee accountability ranges from
1.00 to 11.00, with M = 7.32, overall month assigned under a medical laboratory manger
range from 0 to 300 months, with M = 49.68 months.
To address the research questions, a series of linear regression models were
conducted. The findings for RQ1 indicated that there was a significant positive
relationship between ethical leadership and accountability behaviors. Furthermore, the
analysis showed that every one-unit increase in ethical leadership employee
accountability increased by 2.91 units. Therefore, the null hypothesis for RQ1 was
rejected. The findings for RQ2 indicated that total months assigned to work for a medical
laboratory manager does not moderate the relationship between ethical leadership and
85
employee’s accountability behaviors. The null hypothesis for research question two
(H02) was not rejected.
In Chapter 5, the research problem is again presented, and how the current
research findings cover the gap in the literature are discussed. A summary of the study
method is presented, including the interpretation of findings for RQ1 and RQ2. The
study's limitations, including the impact of COVID-19 and other recent events, are
discussed. Recommendations for future research, including investigating how different
leadership styles influence employee accountability, are made. The connection between
the theoretical framework and current findings are explored and the implications for
social change are also discussed.
86
Chapter 5: Discussion, Conclusions, and Recommendations
Ethical leadership is one of the primary key determinants for organizational
functions (Brown et al., 2005). Ethical leaders impact an organization's culture and
positively contribute to its reputation and success (Brown et al., 2005; Hartog et al.,
2015). Ethical leaders model ethical behaviors through social learning to ensure that their
employees work together to fulfill their organization's vision (Brown et al., 2005). Ethical
leaders have distinct characteristics and abilities to influence, modify, change the
behaviors and attitudes of an individual or a group, and use power to accomplish the
organization's goals (Lunenburg, 2012). Research has shown that leadership integrity
plays a significant role in employee accountability and demonstrates ethical leadership
plays a significant role in medical laboratory medicine (Waddock, 2004). Although
researchers have shown that ethical leadership practice is essential for medical laboratory
functions, there is a lack of research on the effectiveness of ethical leadership on
employee outcomes in laboratory medicine organizations (Afolabi et al., 2015; Brown et
al., 2005).
As mentioned in previous chapters in this study, to the present date, there is no
research regarding the ethical behavior of leaders on employee ethical behavior of
accountability in medical laboratory organizations (Witjeratne et al., 2020). Additionally,
managers in medical laboratory establishments have limited ethical leadership knowledge
for managing their medical laboratory employees (Witjeratne et al., 2020). Laboratory
managers are unaware of the ethical behaviors they are supposed to exhibit through social
learning and role modeling to influence their medical laboratory employees'
87
accountability behavior (Bruns et al., 2008). Therefore, the current quantitative study was
conducted to answer this gap by examining the influence of ethical leadership on
employees' accountability behaviors in medical laboratory settings and whether time
assigned to a manager, measured in months, moderates the relationship between their
perception of their manager's ethical leadership and assigned staff's employee
accountability behaviors.
Perceived ethical leadership and employee accountability were measured from
two surveys: the ELWQ and the LAS. The ELWQ measures ethical leader behaviors and
actions and measures ethical leader’s interaction with their employees through role
modeling and moral engagement (Kalshoven et al., 2011). The LAS measures leader’s
accountability and measures the leader’s expectation, and communication style during
decisions making (Wood et al., 2007). Participants who responded to the surveys were
medical laboratory employees in Western New York. The participants in this study
consisted of 16 men (23.19%) and 53 women (76.8%). The age of the participants ranged
from 18 to 70 years. Participants' years with their current employer ranged from 0 to 44
years, and 46 out of the 69 participants were full-time employees.
The results indicated that ethical leadership has a significant predictive relationship with
accountability behaviors F (1, 67) = 34.03, p < .001, and shows that when ethical
leadership increases, employee accountability also increases. Results showed no
statistical significance, B = -0.00, t = -0.41, p = .681, indicating that total months
assigned to a medical laboratory manager does not moderate the relationship between
ethical leadership and accountability.
88
Interpretation of the Findings
The current study results aligned with the theoretical frameworks and showed that
employee ethical behavior could increase through role modeling, communication, and
observation and showed that when leaders hold employees and themselves accountable,
employees are more likely to report mistakes and disengage in unethical behaviors.
Social learning and moral disengagement theory were the two theoretical frameworks
that guided this study. The SLT explains that behaviors are learned through observation,
interaction, experience, and knowledge (Bandura, 1977). SLT explains why employees
perceived specific characteristics of a manager as ethical leadership and how leaders can
influence ethical behavior in their employees through role modeling, learning,
engagement, observation, and guidance (Bandura, 1977; Brown et al., 2005).
All participants were asked how they perceived their leader's actions, behaviors,
decision-making, and interactions as ethical leaders and how this perception influenced
their behaviors. The present investigation on the views of the SLT on ethical leadership
effectiveness on employees outcomes was consistent with the current research. The SLT
suggests that employees are more likely to copy and engage in similar behavior that their
leaders portrayed (Brown et al.,2005). When the leader takes accountability, holds the
employee accountable for their actions, treats the employees fairly and respectfully, and
communicates precisely, the employee is more than likely to behave similarly (Brown et
al.,2005; Kalshoven et al., 2011; Trevino et al., 2014). The current study shows that when
ethical leadership increases, employee accountability also increases. Leaders can shape
their team's ethical climate and culture in the workplace because they have access to
89
power (Lunenburg, 2012). Power and leadership play a significant role in organizational
outcomes (Lunenburg, 2012; Saxena et al., 2019). Leaders in medical laboratory settings
can generate and influence these positive outcomes, including employee accountability in
medical laboratory organizations through their power and leadership.
The MDT suggests that employees often justify their unethical behaviors and
failure to be accountable for their actions by relating their actions to their leader's
behaviors or organization policy (Bandura, 1999; Liu et al., 2012). Accountability is a
significant component in health care, and without ethical leadership, a lack of
accountability in a medical laboratory can raise society's health level and place patients'
lives at risk (Ghiasipour et al., 2017). The current study's findings show that when leaders
hold employees accountable for their actions, clearly define their tasks, and are not afraid
to talk about their mistakes; it increases accountability behavior in their medical
laboratory employees and reduces the employee's ability to justify their unethical
behavior and displacement of responsibility.
RQ1 determined if perceived medical laboratory manager ethical leadership
predicts their assigned laboratory staff's employee accountability behaviors. The three
variables analyzed in this study where the predictor variable was ethical leadership
measured by the ELWQ, the outcome variable accountability behavior measured by the
LAS, and the moderator variable total time measured in months that the medical
laboratory employee was assigned to their manager captured using a demographic
questionnaire. An ANOVA was conducted to identify the significance of the regression
model. The results from the linear regression model were significant, F (1, 67) = 34.03, p
90
< .001, indicating that ethical leadership has a significant predictive relationship with
accountability behaviors. The research findings also show that with every one-unit
increase in ethical leadership (B = 2.91, t = 5.83, p < .001), accountability behaviors
scores increased by 2.91 units. The results prove that ethical leadership influences
accountability in medical laboratory employees and show that ethical leadership in
medical laboratory organizations is a strong predictor for increased accountability
behavior in medical laboratory employees. Although there was no current research
examining the influence of ethical leadership on medical laboratory employee
organizations, the current research aligns with current findings on ethical leadership
outcomes. The results show that ethical leadership positively influences medical
laboratory employees' behaviors.
RQ2 entailed conducting a moderation analysis using multiple regression to
determine whether the total months laboratory staff member is assigned to work for a
medical laboratory manager moderates the relationship between ethical leadership and
employee accountability behaviors. Three variables were also analyzed: the predictor
variable was ethical leadership, the outcome variable was employee accountability
behaviors, and the moderator variable was the total number of months assigned. To
evaluate the moderating effect between the predictor and outcome variables, an
interaction term was created between ethical leadership*total months assigned. An
ANOVA model was conducted to examine the significance of the collective regression
model. The result shows that ethical leadership, total months assigned, and ethical
leadership*total months assigned has a significant predictive relationship with
91
accountability behaviors F (3, 65) = 11.26, p < .001, R2 =.342, suggesting that 34.2% of
the variance accountability behavior can be explained by ethical leadership. From the
linear regression model, no statistical significance was found between ethical
leadership*total months assigned (B = 0.00, t = -0.41, p = .681), indicating that the total
month does not moderate the relationship between ethical leadership and accountability
behaviors. Signifying that time does not play a factor in ethical leadership's ability to
increase accountability in medical laboratory employees no matter the time spent with
their current medical laboratory manager; if ethical leadership is present, accountability
increases in medical laboratory personnel.
Limitations of the Study
One of the study's limitations is the lack of research on ethical leadership
outcomes in medical laboratory employees, which limited the quality of the study and
limited the ability to collect previous findings that could add value to this study. The lack
of previous findings can cause a lack of generalizability and create some difficulties
when looking for ethical leadership outcomes in a medical laboratory. Another limitation
is that the study was limited to medical laboratory employees in Western New York.
Because the study solely focuses on medical laboratory employees in Western upstate
New York, other geographic locations may have different experiences that would reflect
different results. As mentioned in the first chapter of this study, professionals in medical
laboratory establishments have limited ethical leadership knowledge for managing
employees because, there is no book on ethical leadership for medical laboratory
management, and medical laboratory organizations record ethics as an operating manual
92
rather than moral responsibility (Afolabi et al., 2015; Bruns et al., 2015; Madhu et al.,
2019).
Medical laboratories only reinforce ethical practice based on laws and regulations
within their municipality (Wijeratne & Benatar, 2020). These standards of practice may
pose a limitation when recreating this study in other geographic areas because ethics
standards and practice vary between cultures, geographics, and legal jurisdictions (Datta,
2020; Gronowski et al., 2019). Organization size is also one of the limitations of this
study. The study examines medical laboratory employees in more extensive laboratories
than small clinics and hospital laboratories. Therefore, reproducing the study in a smaller
laboratory setting may yield different results because employees in smaller settings might
have different work relationships with their managers than employees in more extensive
laboratory settings. In smaller medical laboratories, managers may have more
opportunities to create a close-knit relationship and have more opportunities to relate to
their staff than managers with a more extensive staff who does not have direct contact
with their managers daily.
Due to the minimal daily contact and interactions, medical employees in smaller
laboratories may perceive their medical manager's ethical leadership differently than
employees from larger medical laboratory organizations. Another limitation was that the
time under the current manager might vary between participants, where employees may
have worked for a previous manager for a much more extended period. Furthermore,
organization culture, how medical laboratory managers are trained, what expectations are
set for medical laboratory managers, and how the organization reinforces ethical
93
expectations, and hold their manager accountable may influence the outcomes of the
study.
World events such as COVID-19, recent political scandals, and riots due to racial
discrimination and police scandals may have limited this study. During the events of the
coronavirus, many medical laboratories did not have any protocols in place and did not
have any standing operating procedures to manage their laboratory and maintain
productivity during a pandemic (Kabanova et al., 2020). Some medical laboratories had
to reassign their staff, and managers had to learn how to maintain a positive work culture
and retain work productivity with less staff, especially during potential COVID-19
exposure between employees. These forms of events and sudden reshape of management
might also be a limitation to this study because they might have influenced how these
employees perceived their managers as ethical leaders during the crisis.
Recommendations
One recommendation for future research would include investigating the
influence of ethical leadership on employee accountability behaviors in other laboratory
settings, and organizations in both private and public sectors. Because this study only
included medical laboratory personnel in Western upstate New York, another
recommendation is to expand the participant population to another region in the United
States. Furthermore, it will also be beneficial to investigate different leadership styles'
influence on employee accountability in different organization settings. There may also
be a benefit to investigating the influence of ethical leadership and different power styles
on employee accountability in medical laboratory organizations and other organizations.
94
Medical laboratories influence ethics based on laws and regulations within their
jurisdiction; therefore, there will be a benefit to conduct a comparative analysis to
determine whether regions and different cultures also influence how medical laboratory
employee perceive their medical laboratory manager as an ethical leader. Ethics in
medical laboratory organizations follow standard operating procedures and good
manufacturing practices. A recommendation is that leaders in medical laboratory
organizations must let their medical employees know how to perform their duties and
offer coaching to prevent employees from deviating from the standard operating manuals
to reduce unethical behaviors.
Ethics might not mean management; being a good manager does not equate to
being an ethical leader. Therefore, medical laboratory organizations need to develop
ethics training and coaching on ethics standards and practices and need to have a clear
understanding of what it means to be ethical and how to be an ethical leader.
Furthermore, medical laboratory organizations need to develop a protocol that supports
ethical standards and practices when facing an ethical decision and needs to understand
the behavior they need to portray when managing employees to decrease unethical
behaviors. Previous findings show the importance of ethical leadership in organizational
functions (Brown et al.,2005). More studies on ethical leadership need to be conducted in
medical laboratory organizations. Professionals in medical laboratories and other parts of
healthcare need to participate in medical ethics studies, and the importance of ethical
leadership needs to be a trend in medical laboratory organizations and other sectors in
healthcare.
95
Another recommendation would be to repeat this study after COVID-19 COVID
protocols have become business as usual or returned to pre-COVID 19 protocols. Covid
pandemic protocols and employee management may have altered medical laboratory
manager behavior and/or influenced how medical laboratory employees perceived their
managers as ethical leaders. A mixed-method research design might benefit the study
because the quantitative study only includes close-ended questions. Therefore,
conducting in-depth interviews and observation analysis might be beneficial because it
will allow the participant to dislodge more in-depth responses and allow the researcher to
better understand and explore the research participants' behaviors with their leaders.
Implications
Social change is a deliberated process of creating and applying what is learned at
a level where differences can be made to promote better living and development that
benefits society. As a result of this study and the findings, the researcher recommends
more ethics training and coaching in medical laboratories based on the current findings.
Ethics training can help improve the workplace environment and conditions and help
diminish potential health risks in communities that could further impact society's health
level. The findings of this study will help raise awareness of the need for ethnic studies in
medical laboratory organizations and practices where ethics studies are currently non-
existent. Medical laboratories provide 80% of data for diagnostic, monitoring, and
treatment of patients and provide resources that play a significant role in disease control
and monitoring public health. Therefore, this study's recommendations and findings have
96
shown the importance of ethical leadership in medical laboratories to decrease deviant
behaviors that pose a severe threat to public safety and patient care.
At an organizational level, the findings of this study can help promote better work
environments for employees and help create new policies and ethics training. Employees
with poor work safety and poor training can often engage in deviant behaviors.
Therefore, providing safety training with clear communication between managers and
employees can reduce work tension and open the door for positive change that will
contribute to an ethical work climate. According to the social learning theory, employees
learn new behaviors through role modeling and interactions (Brown et al.,2005; Trevino
et al., 2014). The findings of this study are beneficial for medical laboratory managers
because it helps them understand the positive behaviors that they need to exhibit to
eliminate unethical behaviors and increase accountability in their employees. The
findings of this study will help strengthen the current debate on the need for more ethical
study in medical laboratory organizations and raise awareness on the importance for
medical professionals to engage in bioethics disputes and training to increase a better
work environment where employee accountability becomes a common trend in practice.
Conclusion
The findings of this study added to the current literature on ethical leadership and
covered the gap on the influence of ethical leadership on employee accountability
behaviors. This study was able to add to the literature, but it also provided new findings
on an area of ethical leadership outcomes that were previously unknown and under
research. The previous study focused on accountability as a significant component in
97
leadership, yet no study has investigated the influence of ethical leadership on employee
accountability behavior, especially in medical laboratory medicine. This study not only
covers an area that was unknown in medical laboratory organizations, but it also shows
that ethical leadership has a positive influence on employee outcomes and shows that
ethical leadership positively influences accountability behavior in medical laboratory
personnel. Furthermore, the study shows that time does not moderate the effect between
ethical leadership and employee accountability behavior, indicating that accountability
increases whenever ethical leadership is present. While this study solely focuses on
medical laboratory organizations, the significant findings show that ethical leadership can
decrease deviant behaviors in the workplace and encourage employees to report mistakes
that could cause severe damage to both the organization and society. Understanding how
ethical leadership can help increase positive work behavior through role modeling,
interaction, and social learning can help improve the relations between medical
laboratory managers and medical employees. Ethical leadership can influence how
medical laboratory organizations provide ethical training to their new hires, including the
resources that they provide to their medical managers to be effective and practical ethical
leaders.
98
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