WEEK 3
The Impact of Perceived Leader Integrity
on Subordinates in a Work Team
Environment Darin W. White
Emily Lean
ABSTRACT. Over the last decade, the increased use of
work teams within organizations has been one of the most
influential and far-reaching trends to shape the business
world. At the same time, corporations have continued to
struggle with increased unethical employee behavior.
Very little research has been conducted that specifically
examines the developmental aspects of employee ethical
decision-making in a team environment. This study
examines the impact of a team leader’s perceived integrity
on his or her subordinates’ behavior. The results, which
came from a survey of 245 MBA students functioning for
2 years in a work team environment, indicate an inter-
action between leader integrity and team member ethical
intentions.
KEY WORDS: work teams, leader integrity, ethical
decision-making, teammates
Abbreviations: PLIS: Perceived leader integrity scale;
MCSD: MC form C social desirability scale; SDRB:
Social desirability response bias
Introduction
Over the past decade, the ethical practices of cor-
porations have received increased attention.
Through mass media, the public has consistently
learned about the far-reaching effects of corporate
scandal in organizations like Enron, Adelphia Com-
munications, WorldCom, and Tyco International
(cf. Merritt, 2004). Increased public awareness of
corporate fraud has resulted in an outcry for stiffer
penalties and greater responsibility from business
leaders (Carter and Borrus, 2005). Due to consumers’
concerns related to these dishonorable practices, the
study of corrupt behavior in organizations remains an
area of great interest among academic researchers
(Loe et al., 2000). Associated with much of the dif-
ferences in the observed unethical behavior among
corporations is the integrity of the organization’s
leaders, both at the upper management level and at
the lower work team level (Sims and Brinkmann,
2002). It is our contention that, irrespective of the
level at which work is done, the ethical atmosphere
that a leader sets has a major impact on the ethical
behavior of his or her followers. Specifically, the
moral reputation of an organization may be influ-
enced at many levels by its work team leaders. As the
use of teams has grown and become one of the most
influential and far-reaching trends to shape the
business world, the ethical influence of team leaders
has increased respectively.
The term ‘‘team’’ refers to a working unit com-
posed of more than two members, with at least one
being a leader. Team members stress interdepen-
dence and cooperation with each other, pursue
common goals, and take responsibility for the success
or failure of the work (Jessup, 1990; Katzenbach and
Smith, 1993; Lewis, 1993). Teamwork has become
the basic working arrangement of most enterprises
(Drucker, 1998). Approximately 68% of the 1,000
largest U.S. companies have adopted the system of
teamwork design (Lawler et al., 1995). Teamwork
design offers numerous benefits, such as the
improvement of performance, productivity, cost
reduction, and employee satisfaction (Cohen et al.,
1996). One of the essential components of project-
related teamwork is the team’s leadership. The
leadership of a team impacts everything from the
successful accomplishment of team goals to various
behavioral determinants of team members (George
and Bettenhausen, 1990).
Journal of Business Ethics (2008) 81:765–778 � Springer 2007 DOI 10.1007/s10551-007-9546-6
To be most effective, leaders should be perceived
by followers as displaying a level of integrity consistent
with followers’ expectations and implicit leadership
theories (Craig and Gustafson, 1998). According to
Cheng (2000) and Shea (2000), a leader’s fairness in
giving rewards and punishments has a positive impact
on organizational commitment, team effectiveness,
and team and organizational performance. Research
has also shown that an individual’s ethical definitions
are learned through socialization and are acquired
from peers and managers (Zey-Ferrell et al., 1979).
Thus, any explanation of unethical behavior must take
into account that individuals do not learn values from
‘‘society’’ but rather from members of their immediate
social networks such as leaders of their work teams.
Few studies have looked at how members learn values
from their work teams.
Previous approaches to the study of ethical deci-
sion-making processes in organizations tend to address
either the individual role or the situational variables
resulting in unethical behavior. Further, there is little
empirical or theoretical research on developmental
aspects of employee ethical decision-making in a team
environment, and our knowledge of how employee
behavior is influenced by a team leader is limited. The
present study is unique in that it extends the business
ethics literature by examining the important interac-
tion between a team leader and the team members.
Specifically, we evaluate the degree to which a team
leader affects team members’ ethical intentions in an
organizational setting. By seeking to understand the
degree to which employees’ perceptions of their team
leader influence their individual ethical decision-
making, we seek to enrich our knowledge of how
employee ethical behavior is developed.
In the following sections, we discuss some of the
factors that may account for the impact of perceived
leader integrity in a team-management environment
and outline the hypotheses tested in this study.
Literature review and hypothesis
development
Over the last decade, virtually all organizations, from
production to commercial retailing to customer
service firms, have begun utilizing the work team
structure to some degree within their operations.
Due to this, the work team has emerged as a key
business concept, and unified team performance is
now regarded as crucial to corporate success (Wil-
liams, 2002). With this newfound influence on team
performance and unity, one might hope that ethical
behavior within corporations would improve since
increased accountability is inherent in team envi-
ronments. However, based on the constant stream of
corporate scandal stories saturating our media, this
obviously is not the case.
Kohlberg’s model suggests that individuals define
what is ethically appropriate based on the expecta-
tions of good behavior by others within their circle
of influence. Other scholars have suggested that the
intentions of individuals who do not believe in
universal moral rules are influenced by referent
others (Peterson, 2004), such as their organizational
team leaders. While researchers have questioned
exactly how much leaders influence the ethical
attitudes of their subordinates (Minkes et al., 1999),
most propose that the authority and power bestowed
on leaders in organizations provide them with the
means of setting the tone and ethical atmosphere of
the organization (Trevino, 1986). Results from
Peterson’s (2002) study clearly demonstrated that
deviant workplace behavior could be partially pre-
dicted from the ethical climate of an organization.
Similarly, Schminke et al. (2005) found results
indicating that the correlation between leader moral
development and ethical climate is moderated by the
degree to which the leader uses his or her moral
development as well as by the age of the organiza-
tion. They further found that the leader’s moral
development and the consistency between the lea-
der’s moral development and actions interacted to
affect ethical climate. Team leaders influence their
organizational environment through their manage-
ment techniques and their leadership abilities;
organizing assignments, tracking progress, and
rewarding performance are all under the control of
the work team leader (Thamhain, 2004). It is
through this control that team leaders define the
environment through their own actions and, thus,
build either a favorable, highly moral, team-friendly
environment, or one based on selfish, unethical
actions designed to achieve individual goals, even in
the face of conflicting team or organizational goals.
Numerous scholars have contributed to the
development of the ethical leadership literature. Vitell
and Davis (1990) found strong positive correlations
766 D. W. White and E. Lean
between employee perception of the manager’s
integrity and employee job satisfaction in a study that
linked perceptions of leader ethics with subordinate
outcomes. In their 2003 paper, VanSandt and Neck
examined the possible causes of ethical gaps between
the worker’s sense of right and wrong and the
organization’s ethical code. The findings of Weeks
et al. (2004) suggest that the ethical climate of an
organization has either a direct or indirect effect on
its sales force. Trevino and Brown (2004) recom-
mended that the ethical conduct be managed pro-
actively via explicit ethical leadership and conscious
management of the organization’s ethical culture.
One implication from Forte’s (2004) study on moral
reasoning was that managers or executive level
employees should keep in mind that gender and the
industry experience of a new employee might have
an impact on his or her moral reasoning. Sunder-
land’s theory of differential association states that
whether or not the learning process results in
unethical behavior is contingent upon the ratio of
contacts with unethical patterns to ethical patterns.
Ferrell and Gresham (1985) proposed referent others
as a determinant of whether an individual’s behavior
is ethical. Although both peers and managers fit the
role of referent others, managers have been deemed
more influential due to their greater authority
(Baumhart, 1961; Brenner and Molander, 1977;
Hunt et al., 1984). Similarly, Zey-Ferrell et al.
(1979) found that while an employee may hold a
fairly high standard of ethics individually, he or she
may still adapt his or her moral behavior to imitate
that of the primary group and/or that group’s leader.
In addition, association with co-workers who par-
ticipate in and condone unethical behavior, as well as
the opportunity to be involved in such behavior, are
thought to be major predictors of an individual’s
behavior.
A highly cited survey from Harvard Business
Review (Baumhart, 1961), updated by Brenner and
Molander (1977) and Vitell et al. (2000), found that
between the years 1960 and 2000, respondents
became significantly more skeptical regarding the
ethical conduct of their co-workers. Four-fifths of
those surveyed by Brenner and Molander (1977)
agreed that business managers should try to live up to
absolute ethical standards, and most felt that sound
ethics is good business. Approximately one-half of
the respondents, however, reported that supervisors
rarely if ever apply these ethical standards of good
business. Vitell et al. (2000) found that most
employees believe that the ethical behavior of cor-
porate leadership has the most impact on decisions in
ethical situations. Respondents offered explanations
for the decline in ethical standards as being man-
agement’s preoccupation with increased profit, lack
of reinforcement of ethical behavior, competition,
and a sense that only ‘‘results’’ are important.
Several authors have shown a positive relationship
between different dimensions of leadership and cit-
izenship-type behavior. Farh et al. (1990) reported
that, beyond the variance explained by satisfaction,
leader fairness accounted for 9% of variance in
altruism among individuals. Williams et al. (2002)
reported that leader fairness was associated with
subordinate intentions to engage in organizational
citizenship behavior. Different types of leadership
have also been found to be positively related to
citizenship-type behaviors (Pearce and Herbik,
2004). One method of categorizing ethical issues is
to classify them according to those directly affected
by the unethical behavior itself. Soutar et al. (1994)
reported that most unethical behavior in business
environments involve acts that adversely affect one
of three entities: the organization, co-workers, or
the customers. In addition, Vitell et al. (2000) found
that respondents held differing ethical responsibility
levels for these same three entities. Although man-
agers have begun increasing their ethical awareness
and, in turn, making more ethical decisions,
Premeaux (2004) reported that this is mainly due to
managers’ risk aversion.
In the current study, we theorize that three
internal entities would be impacted by potential
unethical behavior that occurs within a work team
environment: work team members, the team as a
cohesive unit, and the organization as a whole. Our
reasoning for choosing these three entities is outlined
below.
Teammates
Why unethical activity is common in some com-
panies but not in others has been a highly debated
topic among researchers (Sims and Brinkmann,
2002). The unethical behaviors found in these
organizations could be from many sources: poor
The Impact of Perceived Leader Integrity on Subordinates 767
hiring practices, societal ethical shifts, unclear goals,
etc. Numerous studies (Deluga, 1995; Schnake et al.,
1993; Wayne and Green, 1993) have shown cor-
porate leadership to be strongly associated with
employee behavior at the individual level.
Researchers have speculated that the integrity of
leaders may be the primary driving influence on
subordinates’ behaviors with regard to ethical issues
involving other individuals. Based on this theory,
managers develop into role models and, thus, are
responsible for establishing the norms for how other
individuals, such as teammates, are to be treated
(Paine, 1997; Sims and Brinkmann, 2002).
When team members perceive that their leader
has low integrity the atmosphere within the team
will become one of independent gain as opposed to
unity and progress. In this environment, we propose
that team members will be more willing to engage in
unethical behaviors regardless of the negative out-
comes to their teammates. Similarly, if a team leader
is perceived as having high integrity, his or her
subordinate team members will be less willing to
behave in a manner that would hurt individual team
members. Following this reasoning, we posit:
Hypothesis 1 As perceptions of team leader
integrity increase, team members’ intentions to
engage in unethical activity adversely affecting
other team members will decrease.
The team as a cohesive unit
A work team’s success on a project depends to a
large degree on effective interactions among the
team members responsible for the project. If team
members have positive emotional attachments to the
team and its leaders, it seems likely that they would
engage in behaviors that would be beneficial to the
team (Pearce and Herbik, 2004). Conversely, if the
situational environment is such that the emotional
attachments to the team are negative or very weak
due to poor or unethical leadership practices, it is
more likely that individuals would engage in
behaviors harmful to the team.
As previously mentioned, Williams et al. (2002)
found that leader fairness was associated with subordi-
nate intentions to engage in organizational citizenship
behavior. Team citizenship behavior is defined as
encompassing the following behaviors: altruism, civic
virtue, conscientiousness, courtesy, teamwork, and
team mindedness (Pearce and Herbik, 2004). If the
team leader exhibits unfair and unethical behaviors,
subordinates will, we theorize, be less likely to engage
in team citizenship behaviors such as civic virtue,
courtesy, teamwork, and team mindedness.
Based upon this line of reasoning, we propose that
the leader, through his or her own unethical
behavior and the resulting harmful environment,
will reduce the level of personal attachment between
the individual and the team as a cohesive unit. This
will result in individual team members being more
likely to engage in activities having adverse out-
comes to their team. If however, the manager
engages in behaviors that create positive subordinate
perceptions of his or her integrity, these subordinates
will be less likely to engage in behaviors that would
have a negative impact on the team. Accordingly,
we propose:
Hypothesis 2 As perceptions of team leader
integrity increase, team members’ intentions to
engage in unethical behavior adversely affecting
the team as a whole will decrease.
The organization
Many key functions within organizations exist in
teams of individuals. Both Hunt and Vitell (1986)
and Trevino (1986) speculated that organizational
norms are a determinant of ethical or unethical
behavior. Stated differently, organizational norms
identify what is and what is not appropriate behav-
ior, thus determining the ethical environment of the
organization itself. Theorists assert that leaders have
the ability to establish and communicate these
organizational norms as well as to offer rewards and
impose sanctions in order to ensure compliance with
these norms (Paine, 1997; Sims, 2000; Sims and
Brinkmann, 2002).
The social exchange theory (Settoon et al., 1996;
Wayne et al., 1997) suggests that when team
members perceive that they are being treated ethi-
cally, they will feel an obligation to reciprocate this
positive behavior to the organization. Therefore, if
768 D. W. White and E. Lean
the leader, who is perceived as an agent of the
organization, creates an atmosphere of trust and
loyalty through positive, personal integrity, the team
member will replicate the leader’s behavior by not
acting in ways that would cause harm to or create
negative attention for the organization. Conversely, a
team leader that is perceived as having poor integrity
implicitly communicates that the organization
approves of an unethical environment. In this situa-
tion, it is likely that team members will take no heed
of whether their actions cause adverse affects to the
organization. Therefore, we posit the following:
Hypothesis 3 As perceptions of team leader integrity
increase, team members’ intentions to engage in
unethical behavior adversely affecting the organi-
zation that the team is a part of will decrease.
Research design and methodology
Pretest
A self-report survey was used for the current study.
A pretest was conducted with 41 undergraduate
college students to assure that respondents would
properly interpret the wording in the various sce-
narios and items. Based on their feedback a few slight
revisions were made to the instrument. At this point,
the survey instrument was deemed ready to be
administered to the chosen sample frame.
Sample frame
The questionnaires were administered to MBA
students from two southeastern universities over
several months. The students completed the survey
instrument in class when they were within 2 months
of finishing the MBA program or via e-mail some-
time after they had completed the program. Each
student had been part of a work team that consisted
of the same five to seven individuals for two con-
secutive years. The teams had met twice per week
during the entire program to work together on
projects, cases, and papers. Each team had a leader
who was responsible for scheduling meetings,
developing agendas, and keeping the team on track.
These teams were designed by the MBA director to
closely reflect work teams in real organizations.
During the 8 weeks leading up to the time when
the students completed the survey instrument, the
teams were engaged in an intensive business simu-
lation game. Teams were required to function in an
environment very similar to that of the real business
world with extreme workloads, pressures, and
responsibilities. Course participants were expected
to allocate at least 8 h per week to outside-of-class
activities during which time they would meet with
their MBA work teams to make informed, strategic
business decisions for their companies. The com-
petitive nature of the simulation game, the feedback
that it provided, and the wide open challenge it
presented the students were the primary driving
forces that determined the extent of their efforts.
Thus, extreme pressure existed within each team for
each member to pull his or her own weight. Due to
the required workload, it was virtually impossible for
a team to be successful unless everyone in the group
significantly participated. Team leaders were given
complete control of their groups with both reward
power and the authority to fire poor performing
members. At the end of the 8 weeks, team leaders
were responsible for determining grade assignments
for each member of the team based on individual
and team performance measures. Team members
who received a ‘‘C’’ or lower or were fired had to
repeat the class. Insights into the culture of the class
are perhaps best provided by the following quota-
tions, which have been taken from course evalua-
tions of previous course participants:
This is the real world, fraught with real world work-
loads, satisfactions, and frustrations. A course offering a
lot of fun but little sleep... the most challenging course
I’ve taken.
I found the job interviewers were fascinated, by the
way, with the kinds of problems we were asked to
solve – especially the organizational problems. What
do you do with the free loader? How do you handle
the good friend who tries hard but really doesn’t
perform? The study group is the most real world thing
you will do here.
The scenarios
A total of 12 scenarios were written to be directly
relevant to the MBA work team groups. The ethical
dilemmas involved realistic situations that a MBA
The Impact of Perceived Leader Integrity on Subordinates 769
work team might potentially face while in the pro-
gram. In two of the scenarios, the respondents were
required to project their MBA work team group
into a different environment.
There were four scenarios that involved acts
impacting other team members. These scenarios
described a hypothetical teammate who either
engaged in financial misconduct; went into the team
leader’s office when they were not there, opened a
file marked ‘‘private’’ and read damaging informa-
tion about teammates (Conger et al., 1995); violated
the team charter in a way that impacted other team
members; or pretended to be sick resulting in more
work for other team members (Zey-Ferrell and
Ferrell, 1982).
Four scenarios involved actions negatively
impacting the team as a whole. These four scenarios
described a team member who abruptly resigned
without advance notice (Abratt and Penman, 2002);
a team member who used group equipment without
obtaining approval from the team leader (Zey-Fer-
rell and Ferrell, 1982); a team member who took a
trip and then lied on the reimbursement documen-
tation, thus leaving the team less budget money for
the year (Zey-Ferrell and Ferrell, 1982); and a team
member who decided to lie to an external party, thus
negatively impacting the team.
The remaining four scenarios involved acts
affecting an organization of which the team is a part.
These scenarios described a team member who fre-
quently made derogatory comments about the
organization to friends and acquaintances (Peterson,
2004); a team member who drove away potential
customers from the organization through unsavory
conduct; a team member who falsely reported
information to a regulatory agency, resulting in
potential negative consequences for the organiza-
tion; and a team member who hired an employee
with a reputation of poor integrity, resulting in
negative media coverage for the organization.
The ordering of the 12 scenarios on the survey
instrument was random. Following Peterson’s
(2004) example, three questions followed each sce-
nario to access (1) the extent to which society in
general is perceived to agree that the act in question
was morally repugnant; (2) the degree of damage
caused by the act; and (3) the behavioral intentions
of the respondent (‘‘I might take the same action’’ as
the individual in the scenario). As a result of the
pretest, a few of the scenarios were slightly changed
to ensure respondents would view the acts as
‘‘causing damage’’ and ‘‘morally wrong.’’ Each of
the questions was answered using a Likert scale
(1 = strongly agree and 7 = strongly disagree). For
each participant, three average behavioral intention
scores were calculated relating to intended ethical
behavior in teammate situations, team situations, and
organizational situations. Higher values indicated
lower intentions to engage in unethical behavior.
Additional measures
In addition to the scenarios and various demographic
questions, the survey instrument included two well-
established, highly reliable and valid measurement
scales: Craig and Gustafson’s (1998) 31-item per-
ceived leader integrity scale (PLIS) and Andrews and
Meyer’s (2003) MC Form C social desirability scale
(MCSD) originally developed by Crowne and Mar-
lowe (1960). According to Reynolds (1982), the
shortened version of the MCSD is comparable to the
full version with only a slight reduction in internal
consistency. For both scales, a seven point, strongly
agree/strongly disagree, Likert scale was used, and
responses were averaged across all items to create a
mean value for each participant. Higher values indi-
cate higher perceived leader integrity and a higher
social desirability response bias (SDRB). To mini-
mize the effect of common rater bias, we undertook
numerous precautions.
On the survey instrument, we strongly assured
participants of the anonymity of their responses,
promised them that no identifying marks were on
the survey, assured them that there was no right or
wrong answer, and encouraged them to be honest
with their responses. According to Podsakoff et al.
(2003) these procedures can greatly reduce or even
eliminate common rater effects. Second, we in-
cluded the MCSD scale on our survey instrument
and utilized it to control for SDRB. Social desir-
ability response bias is the tendency of respondents
to answer questions in the perceived socially
acceptable way rather than with their true feelings. It
is one of the most prevalent common rater effects
impacting ethics research. To determine if SDRB
was a problem, we utilized a Harman’s one-factor
test as well as a partial correlation procedure
770 D. W. White and E. Lean
described below. Finally, we physically distanced the
MBA work team leaders from the respondents by
asking them to leave the room while the survey was
being completed. According to Scott (1982), this
procedure has been shown to reduce social desir-
ability bias in some situations. Respondents who
completed the survey instrument via e-mail were
assumed to be in a similar condition. Indeed, Booth-
Kewley et al. (1992) found no SDRB difference
between computer-administered and paper and
pencil modes when precautions were taken with the
face-to-face group.
Analysis and results
Demographics and response rate
About 249 MBA students completed the survey over
the course of several months. A final sample of 245
was established after rejecting four unusable, partially
completed responses. Of the respondents, 58.8%
were male and 41.2% were female. The average age
was 24 with a standard deviation of 2.41. Ages
ranged from 21 years to 34 years old. The majority
of the respondents (96%) was from the United States
and was currently employed on a full-time basis
(93%). The primary industries of employment in-
cluded healthcare, manufacturing, services, sales,
transportation, and consumer products.
The total sample frame for the in-class condition
was 174, of which 169 provided us with completed
usable surveys (one was incomplete and four de-
clined to participate). This resulted in a response rate
of 97.1%. Team leaders were asked to leave the class
(before we announced what was going to happen)
and were not included in the sample. This was done
to ensure honest responses and to guard against
potential unwanted leader influence regarding the
leader integrity scale.
The total sample frame for the e-mail condition
was 138, of which 76 provided us with completed
usable surveys (three were incomplete). A total of
three e-mails were sent out to each respondent over
the course of 10 days. This resulted in a response rate
of 55.1%. The excellent response rate was due in
part to a strong relationship with the professor, high
levels of involvement in the simulation course, and a
general interest in the topic.
To test for possible difference between the two
conditions, the 169 questionnaires received from the
in-class respondents were compared to the 76 ques-
tionnaires received from the e-mail respondents. A
total of 11 separate t-tests were conducted to com-
pare the mean values of every scale for the two
conditions. The 11 scales included three average
behavioral intention scores for teammate, team, and
organizational situations, three agreement with
society scores, three degree of damage caused scores,
perceived leader integrity scores, and the social
desirability scores. None of the constructs were dif-
ferent between the two groups at the p < 0.05 level.
Scale reliabilities
The general psychometric characteristics of the
constructs used to evaluate the hypothesized rela-
tionships are described in this section. For the 12
ethical scenario scales, we followed a traditional scale
development procedure. The first step was to
investigate the internal consistency of the construct
items by calculating a Cronbach’s alpha. The next
step involved an analysis of the correlation matrix
and the item-to-total correlations. This was done to
identify potential scale contaminants. Items with low
item-to-total correlations (below 0.3) were deleted
from the scales as the low correlations suggested that
the items might not fit the construct or might tap
into another dimension of the construct (Churchill,
1979). The third step involved an analysis of the
factor structure of each scale by carrying out a
principal component analysis. An eigenvalue of one
was used as a criterion for creating the dimensions
(cf. Green, 1978; Hair et al., 1992). Emergence of a
single factor indicates the unidimensionality of a
scale (Churchill, 1979). Items that loaded on more
than one factor were deleted. After all split loading
items were deleted, a final principal components
factor analysis was conducted to assure scale unidi-
mensionality. Items with communality of 0.4 or
greater remained in the factor solution (cf. Green,
1978). The final step was to calculate a concluding
Cronbach’s alpha. Ideally, the coefficient alpha for a
purified scale should exceed 0.7 (Nunnally, 1978).
For the ethical scenarios, we utilized the behav-
ioral intention of the respondent question for scaling
purposes. In the literature review section, it was
The Impact of Perceived Leader Integrity on Subordinates 771
predicted that a three-factor solution would result.
We theorized that respondents would view situa-
tions involving teammates, the team, and the orga-
nization differently. Three scenarios, one from each
group, had to be deleted because of cross loadings.
The deleted teammate scenario dealt with a violation
of the team charter in a way that impacted other
team members. The deleted team scenario con-
cerned a team member who decided to lie to an
external party thus negatively impacting the team.
The deleted organization scenario dealt with a team
member who frequently made derogatory comments
about the organization to friends and acquaintances.
The remaining nine scenarios loaded on their pre-
dicted factor. As Table I demonstrates, the coeffi-
cient alpha of two of the scales was above the 0.70
threshold recommended by Nunnally (1978). The
organization ethical scenario scale fell just shy with a
coefficient alpha of 0.65.
Following Parry and Proctor-Thomson (2002), a
principal component analysis was conducted on the
PLIS to verify dimensionality. It found that a four-
factor solution best fit the data. These four factors
accounted for 55.89% of the variance. Similar to
Craig and Gustafson (1998) and Parry and Proctor-
Thomson (2002), the first factor produced an
eigenvalue five times larger than the second eigen-
value, indicating a latent one-factor construct. In
addition, the high Cronbach’s alpha (0.97) for the
complete scale supports the finding of a latent one-
factor construct.
As noted by Parry and Proctor-Thomson (2002),
the potential negative effect of heteroscedasticity
caused by highly skewed means is a weakness of the
PLIS scale. However, they recognized that the scale
is useful for measuring ‘‘a level of global perceived
integrity’’ but that a ceiling effect on the positive end
of the scale limits its usefulness to other types of
analyses. In line with Parry and Proctor-Thomson’s
suggestion, we utilized the PLIS in the current study
as a global measure of perceived integrity. By con-
verting the data from Likert scale data into nominal
categorical data, we minimized the impact of the
ceiling effect. Individuals who rated their leader
above the PLIS mean of 6.09 were placed into the
high-perceived leader integrity group. Individuals
who rated their leader below the mean but still
within one standard deviation of the mean were
placed into the medium perceived leader integrity
group. Those who rated their leader more than one
standard deviation below the mean were placed into
the low perceived leader integrity group. This
approach is logical given the characteristics of PLIS.
Since the PLIS utilizes items that describe clear,
unambiguous unethical acts, the presence of uneth-
ical behavior is detected when respondents rate their
leader lower than the highest end of the scale.
However, if all unethical behavior is completely
absent, then the leader is said to act ethically and
posses integrity (Parry and Proctor-Thomson, 2002).
Factor analysis was not conducted on the ten-item
social desirability response scale (MCSD) because its
factor structure has been confirmed many times in
the literature. Similar to Andrews and Meyer’s
(2003), the scale produced a final Cronbach’s alpha
of 0.88.
TABLE I
Summary Statistics, Correlation Coefficients, & Scale Reliabilities
Variable Mean S 1 2 3 4 5
1. MCSD 4.821 1.432 (0.880)
2. PLIS 6.091 1.114 0.146 (0.970)
Dependent Measures
3. Teammates 5.090 1.192 0.389** 0.201* (0.764)
4. Team 5.559 1.279 )0.122* 0.318** 0.073 (0.757)
5. Organization 5.137 1.419 )0.134* 0.194* 0.278** 0.207* (0.653)
Note: Cronbach’s alpha coefficients are in parentheses
*p < 0.10; **p < 0.05
772 D. W. White and E. Lean
Preliminary analyses
Before hypothesis testing could begin, two series of
tests were conducted to assure that respondents be-
lieved the situations described in the scenarios would
be viewed as (1) unethical by society in general and
(2) harmful to the affected individual or group.
Three means were calculated for the social consensus
items relating to teammates (2.22), the team (2.41),
and the organization (2.40). All three were below
the neutral value of four, which indicates that
respondents believe the situations would be viewed
as unethical by society in general. In addition, three
means were calculated for the magnitude of conse-
quence items – teammates (5.39), the team (4.92),
and the organization (5.16). The mean values were
all above 4 indicating that respondents viewed the
situations as harmful to the affected individual or
group.
Hypotheses testing
The three hypotheses predicted a positive relation-
ship would exist between a team members’ percep-
tion of his leader’s integrity and his own ethical
intentions. To test these hypotheses, it was first nec-
essary to identify those team members who were
characterized as having very high perceptions of the
team leader’s integrity and those team members who
were characterized as having low perceptions of the
team leader’s integrity. As was described above, a
frequency distribution of all respondents was con-
ducted on the mean scores of the PLIS. We then
divided the respondents into one of three groups
based on the PLIS mean and standard deviation: low
perceived team leader integrity (PLIS-LG) – more
than one standard deviation below the mean; mod-
erate perceived team leader integrity (PLIS-MG) –
less than one standard deviation below the mean yet
not above the mean; and high perceived team leader
integrity (PLIS-HG) – above the mean. The 128
respondents in the high group had a mean PLIS of
6.98. The 77 respondents in the middle group (PLIS-
MG) had a mean PLIS of 6.41, and the 40 respondents
in the low group (PLIS–LG) had a mean PLIS of 5.10.
To test the hypotheses we needed to determine
whether or not each population (PLIS-HG, PLIS-
MG, and PLIS-LG) had a statistically different ethical
intention mean in the three different situations. To
achieve this, we conducted an ANOVA test for each
of the three situational scenarios. An ANOVA test
was used to find out if there was a significant dif-
ference between the three group means. The
ANOVA analysis, however, simply indicated there
was a difference between two or more group means;
it did not indicate which means were significantly
different. Thus, we performed a post hoc pairwise
multiple comparison Scheffe’s test to determine
which means differed. Scheffe’s test was selected
since we had unequal group sizes.
For H1 (ethical situations impacting specific
teammates), the overall relationship was significant
(F = 14.12, p < .001). The PLIS-HG exhibited a
stronger tendency toward ethical behavior with a
mean of 4.94 than did the PLIS-LG with a mean of
3.71. The PLIS-MG also had a statistically lower
ethical intention score of 4.49 from that of PLIS-
HG. The PLIS-LG and PLIS-MG ethical intention
means were not statistically different. Overall these
findings lend support for H1.
For H2 (ethical situations impacting the overall
team), the overall relationship was again significant
(F = 21.44, p < .001). The PLIS-HG exhibited a
stronger tendency toward ethical behavior with a
mean of 6.38 than did the PLIS-LG with a mean of
4.94. The PLIS-MG had a statistically lower ethical
intention score of 5.11 from that of PLIS-HG. The
PLIS-LG and PLIS-MG ethical intention means
were not statistically different. Overall these findings
lend support for H2.
For H3 (ethical situations impacting the organi-
zation of which the team is a part), the overall
relationship was significant (F = 12.94, p < .001).
The PLIS-HG exhibited a stronger tendency toward
ethical behavior with a mean of 5.69 than did the
PLIS-LG with a mean of 4.46. The PLIS-MG also
had a statistically lower ethical intention score of
5.23 from that of PLIS-HG. The PLIS-LG and
PLIS-MG ethical intention means were also statis-
tically different. Overall these findings lend support
for H3.
Social desirability response bias
Previous research that has sought to study the rela-
tionship between the ethical attitudes of leaders and
The Impact of Perceived Leader Integrity on Subordinates 773
subordinates has produced confusing results (Akaah
and Riordan, 1989; Murphy et al. 1992; Trevino
et al., 1999; Zey-Ferrell et al., 1979). Peterson
(2004) suggests that SDRB could be partially to
blame. To test for SDRB in the present study, we
first performed a Harman’s single-factor test. We
loaded all of the variables in the study into an
exploratory factor analysis and examined the unro-
tated factor solution. The first factor explained
45.34% of the variance which seemed to indicate the
presence of one general factor that accounted for the
majority of the covariance among the measures
(Iverson and Maguire, 2000). Next we calculated
partial correlations between the PLIS and respondent
ethical intentions while controlling for MCSD.
These scores were 0.186, 0.289, and 0.186 for
teammates, team, and the organization scenarios
respectively. We then compared these scores to the
Pearson correlations of the same variables found in
Table I. MCSD was not controlled for when cal-
culating the Pearson correlations in Table I. These
scores were 0.201, 0.318, and 0.194 for teammates,
team, and the organization scenarios respectively.
When not controlling for MCSD, the correlations
were larger for all three scenario conditions. From
this comparison, it appeared that SDRB might have
inflated the simple correlations, which is indicative
of the potential spurious impact of the SDRB
(Peterson, 2004).
Discussion and conclusions
As Trevino (1986) noted in her manuscript,
understanding the ethical decision-making process in
organizations is significant to the development of
organizational science. With the structure of tradi-
tional organizations shifting in reaction to changes in
the local and global economy, it is becoming
increasingly important to understand the determi-
nants of ethics within corporations and, more
importantly, in the work team environment. The
contingent thesis that is proposed by this study is
perceived leader integrity will influence subordinate
ethical intentions in a work team environment.
More specifically, it was theorized that team mem-
bers who serve under a leader who is perceived as
having strong integrity would be less likely to engage
in unethical conduct than would team members
who serve under a leader who is perceived as having
weak integrity. It was also thought that ethical
intentions of team members might vary depending
on who was being impacted by the unethical
behavior. Three salient, internal entities were iden-
tified in the literature as: (1) team members, (2) the
team as a cohesive unit, and (3) the organization as a
whole.
The findings confirm that perceived leader
integrity does indeed have an impact on the ethical
intentions of team members in all three situations.
The relationship was strongest in ethical situations
impacting the team itself and the organization as a
whole. This is significant in light of current events in
the business world. As corporations are searching for
ways to decrease unethical employee activity, it is
important to note that team members who perceived
their team leader to have high integrity were less
likely to commit unethical acts that impact the team
itself and the organization.
Most of the previous work researching the effects
of leadership on subordinate behavior looked at the
effects of CEO or top management ethical behavior
rather than at the team level, as in the present study.
By increasing the use of work teams, corporations
can create a stronger sense of identity within their
employees and foster an environment where
employees feel they are part of something larger than
themselves. In addition, work teams tend to produce
accountability between team members which may
help to improve ethical conduct. It was found that
respondents who perceived their team leader to have
high integrity reported lower intentions of com-
mitting unethical acts directed at other team mem-
bers. Interestingly, however, the relationship was not
as strong as it was in situations impacting the team
and the organization. Only leaders who were per-
ceived as having extremely high integrity were
found to positively impact the ethical intentions of
team members toward each other. This seems to
lend support to Robinson and Bennett’s (1995)
argument that unethical acts that affect co-workers
may be more explicable in terms of individual,
personal factors rather than in terms of situational
factors such as leader influence.
As with all empirical research, there were several
limitations associated with this study. First and fore-
most was that a team leader’s integrity was assessed
strictly through a single participant’s perceptions. In
774 D. W. White and E. Lean
order to obtain the most accurate moral reading of a
team leader, it would be preferable to survey an
entire team. However, in such a case, the anonymity
perceived by participants may begin to diminish.
Further, the actual integrity of a team leader may not
be properly assessed by surveys of his or her imme-
diate subordinates. A related issue would be that
leaders are not likely to allow their integrity to be
directly observed or measured. The purpose in our
study, however, was to assess the relationship
between the team member’s ethical intentions and
that member’s perception of his leader’s integrity
as opposed to his leader’s actual integrity. Thus, it is
the team member’s perception of his leader that is
expected to influence his behavioral intentions
(Vidaver-Cohen, 1998). Since all research designs
contain limitations, we must caution against potential
implications of this study until further inquiries can
confirm our results.
No attempt was made to determine the impact
that leaders external to the work team have on group
members. It is likely that other leaders (spiritual,
work, athletic, etc.) have significant impact as well.
In the future, it would be valuable to determine the
degree of influence external leaders have as com-
pared to the internal group leader.
Another potential limitation of our study relates
to the fact that the respondents provided the measure
for both the PLIS and their own ethical intentions.
According to Podsakoff et al. (2003), a common
rater effect bias can be produced when the predictor
and criterion variable measures are provided by the
same individual. This type of self-report bias or
‘‘artificial covariance between the predictor and
criterion variable’’ is a potential weakness of the
current study. In an effort to reduce the possibility of
these types of method biases, we followed proce-
dures recommended by Podsakoff et al. (2003).
They state that by following two procedural reme-
dies, researchers can greatly minimize, if not totally
eliminate, the potential effects of common rater
variance on the findings of their studies. First, we
promised the respondents that their answers would
be completely anonymous multiple times through-
out the survey instrument. Second, we assured
respondents that there were no wrong or right an-
swers and encouraged them to answer the items as
honestly as possible. Finally, we pointed out that no
markings were used to identify the respondents on
the survey instrument. According to Podsakoff et al.
(2003), these procedures ‘‘should reduce people’s
evaluation apprehension and make them less likely
to edit their responses.’’ In addition, we physically
distanced the respondents from the work team
leaders (Scott, 1982).
The findings that emerged from this study, though
consistent with previous studies regarding the rela-
tionship between the ethical attitudes of leaders and
their subordinates, raise several questions worthy of
additional research. Future research should investigate
how a belief in universal moral rules by team members
impacts the perceived leader integrity/ethical inten-
tions relationship. Individuals join organizations with
an individual level of cognitive moral development as
well as other personal characteristics. A personal
characteristic likely to moderate the influence of sit-
uational variables, such as perceived leader integrity, is
the degree to which an individual believes in universal
moral rules. For example, one team member may
believe that certain behaviors are always unethical
regardless of the situation while another team member
may reject the idea of universal moral rules and believe
that morality depends on situational variables or the
outcome. Assessing a subordinate’s level of universal
moral rules may help researchers to understand exactly
how much of an impact the team leader has on the
subordinate’s ethical intentions.
As was stated earlier, the PLIS has a tendency to
produce extremely high means due to the fact that it
only uses negative items. This limits the potential
usefulness and the analyses it can provide. In the
future, researchers should seek to deal with the po-
tential effects of heteroscedasticity caused by the
highly skewed means (Parry and Proctor-Thomson,
2002).
An implication of these results, as Craig and
Gustafson (1998) studied, is that researchers do not
yet fully understand how a follower’s impressions of
leader integrity develop, how those impressions
change over time, or even which leader behaviors
are most influential in the perception formation
process. Studying each of these issues would greatly
expand the literature with regard to team members’
ethical intentions as a result of their perceived leader
integrity.
In summary, the present study provides needed
research on the relationship between perceived lea-
der integrity and its effect on employee behavior.
The Impact of Perceived Leader Integrity on Subordinates 775
Rather than focusing on the impact of the ethical
influences of top management and CEOs, as much
of the previous literature has done, the present study
examined how leaders of work teams affect the
ethical intentions of their subordinates. It is hoped
that the findings from this study can add to the
conceptual base needed to develop a research agenda
for future investigations of the integrity of team
leaders and its effect on work team groups.
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Darin W. White
McAfee School of Business Administration,
Union University,
1050 Union University Dr, Jackson, TN, 38305,
U.S.A.
E-mail: [email protected]
Emily Lean
Walton College of Business,
University of Arkansas,
Business Building 402, Fayetteville, AR, 72701,
U.S.A.
778 D. W. White and E. Lean
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/GrayImageAutoFilterStrategy /JPEG /GrayACSImageDict << /QFactor 0.76 /HSamples [2 1 1 2] /VSamples [2 1 1 2] >> /GrayImageDict << /QFactor 0.15 /HSamples [1 1 1 1] /VSamples [1 1 1 1] >> /JPEG2000GrayACSImageDict << /TileWidth 256 /TileHeight 256 /Quality 30 >> /JPEG2000GrayImageDict << /TileWidth 256 /TileHeight 256 /Quality 30 >> /AntiAliasMonoImages false /DownsampleMonoImages true /MonoImageDownsampleType /Bicubic /MonoImageResolution 600 /MonoImageDepth -1 /MonoImageDownsampleThreshold 1.50000 /EncodeMonoImages true /MonoImageFilter /CCITTFaxEncode /MonoImageDict << /K -1 >> /AllowPSXObjects false /PDFX1aCheck false /PDFX3Check false /PDFXCompliantPDFOnly false /PDFXNoTrimBoxError true /PDFXTrimBoxToMediaBoxOffset [ 0.00000 0.00000 0.00000 0.00000 ] /PDFXSetBleedBoxToMediaBox true /PDFXBleedBoxToTrimBoxOffset [ 0.00000 0.00000 0.00000 0.00000 ] /PDFXOutputIntentProfile (None) /PDFXOutputCondition () /PDFXRegistryName (http://www.color.org?) /PDFXTrapped /False /Description << 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>> >> setdistillerparams << /HWResolution [2400 2400] /PageSize [5952.756 8418.897] >> setpagedevice