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Creativity Research Journal
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Charismatic, Ideological, and Pragmatic Leaders'
Influence on Subordinate Creative Performance Across
the Creative Process
Jef f rey B. Lovelace
a
& Samuel T. Hunt er
a
a
Pennsylvania St at e Universit y
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To cite this article: Jef f rey B. Lovelace & Samuel T. Hunt er (2013): Charismat ic, Ideological, and Pragmat ic Leaders' Inf luence
on Subordinat e Creat ive Perf ormance Across t he Creat ive Process, Creat ivit y Research Journal, 25: 1, 59-74
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CREATIVITY RESEARCH JOURNAL, 25(1), 59–74, 2013
Copyright # Taylor & Francis Group, LLC
ISSN: 1040-0419 print=1532-6934 online
DOI: 10.1080/10400419.2013.752228
Charismatic, Ideological, and Pragmatic Leaders’ Influence on
Subordinate Creative Performance Across the
Creative Process
Jeffrey B. Lovelace and Samuel T. Hunter
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Pennsylvania State University
Using the charismatic, ideological, and pragmatic (CIP) model of leadership as a framework, 2 primary research questions were examined. First, when engaging in different
tasks along the creative process, does leadership style influence the creative performance
of subordinates? Second, how does the level of stress, to which subordinates are
exposed, moderate the relationship between leadership style and creative performance?
Hypotheses were tested using a laboratory-based design, where 336 participants
engaged in 3 unique creative tasks specifically designed to represent the different steps
along the creative process. The results indicate that charismatic leaders influence subordinate creative performance above and beyond pragmatic and ideological leaders on
middle-stage creative tasks. Moreover, higher levels of stress decreased individual
creative performance in terms of ratings of quality, but not originality. Additionally,
stress had the least amount of impact on those individuals with a pragmatic leader.
Implications and directions for future research are discussed.
In today’s rapidly changing and highly competitive
global environment, the ability of organizations to facilitate creative performance in their employees is critical to
organizational survival and overall success (Atwater &
Carmeli, 2009; Mumford & Licuanan, 2004; Mumford,
Hunter, Eubanks, Bedell, & Murphy, 2007; Tierney,
Farmer, & Graen, 1999; Tushman, Anderson, &
O’Reilly, 1997). As a result of this requirement for
greater creative production, organizations pay more
attention to, and place higher premiums on, innovation
in the workplace (Byrne, Mumford, Barrett, & Vessey,
2009; Hunter, Cassidy, & Ligon, 2011). To better
Portions of this project were funded by the National Science
Foundation (CMMI-0928644). Thanks to Jim Farr and Jose Soto
for their keen insights and recommendations during the execution of
this study. Additionally, thanks to the undergraduates in Pennsylvania
State University’s Leadership and Innovation Lab for their dedication
to this study from data collection to the completion of the coding
process. Last, thank you to Shanann, Vander, Pepper Lynn, Melissa,
and Celia Kate for their support.
Correspondence should be sent to Samuel T. Hunter, Psychology,
Industrial & Organizational Area, Pennsylvania State University, 111
Moore Building, State College, PA 16802. E-mail: samhunter@
psu.edu
understand the creative process, researchers have
examined multiple variables and their roles in facilitating creativity. Variables have included constructs such
as climate, team influences, and motivation (Amabile,
1996; Hunter, Bedell-Avers, & Mumford, 2007). Despite
demonstrating significant influence on the work environment and creativity, leadership has not received as much
attention as other variables (Byrne et al., 2009; Wang &
Casmir, 2007).
Facilitating and maintaining creative performance is
a significant issue for many leaders (Atwater & Carmeli,
2009). From the quickly developing technological
market place to the complex combat environments of
the war on terror, leaders are called upon to inspire
new and creative solutions to solve dynamic problem
sets. This ever-increasing responsibility on leaders
makes it all the more important to understand the process by which leaders influence the creativity of their
subordinates (Byrne et al., 2009; Redmond, Mumford
& Teach, 1993; Wang & Casmir, 2007).
Although limited, there is growing evidence that leadership behaviors, styles, and attributes influence creative
performance (Atwater & Carmeli, 2009; Elenkov &
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60
LOVELACE AND HUNTER
Manev, 2009; Oldham & Cummings, 1996; Redmond
et al., 1993; Tierney et al., 1999). Central to our study
is the idea that not all leaders use the same approach
to achieve successful creative outcomes. In particular,
an emerging model of leadership suggests that many
outstanding leaders differ not in their ability to achieve
creative outcomes, but in methods they utilize to attain
creative success (Mumford, Bedell, Hunter, Espejo, &
Boatman, 2006; Bedell-Avers, Hunter, & Mumford,
2008; Mumford, 2006). Different leaders employ and
focus on different behaviors and tactics that lead to
successful creative performance on the aggregate. These
differences in leadership style influence performance in
varying ways at different stages of the creative process.
Consequently, tasks oriented toward specific stages of
the creative process might be better suited to certain
leadership styles. As such, this study first tests whether
certain leadership styles in the charismatic, ideological,
and pragmatic (CIP) model of leadership differ in their
inspiration of higher levels of creative performance
during specific stages of the creative process.
The second focus of the study emerges from the
realization that performance is a function of both the
person and the situation (Choi, 2004; Oldham &
Cummings, 1996; Redmond et al., 1993; Tierney et al.,
1999; Woodman, Sawyer, & Griffin 1993). As an illustration, Byron, Khazanchi, and Nazarian (2010) conducted a meta-analysis examining the effect of stress
on creativity and found that the effect of stress on creative performance depends on the level of the stress
stimuli and the type of stress involved. The findings
demonstrated that low stress-inducing scenarios
increased creative performance and high stress-inducing
scenarios decreased creative performance. Additionally,
subordinates gave greater latitude to leaders and sought
greater levels of comfort and guidance during times of
stress. Accordingly, this study focuses how creative performance varies across different levels of stress and,
more centrally, whether or not these relationships different for varying styles of leadership.
CREATIVITY
Most scholars agree that creativity is defined as a
product or process that is both original and effective
(Barron, 1955; Runco & Jaeger, 2012; Stein, 1953;
Woodman et al., 1993). At the most basic level, creative
performance begins with the individual who is the key to
seeking out and manipulating knowledge and concepts
(Byrne et al., 2009; Redmond et al., 1993). Amabile,
Conti, Coon, Lazenby, and Herron (1996) explained
that creativity acts as a springboard for innovation that
requires creative ideas from internal and external
sources. Innovation, therefore, is appropriately defined
as the successful implementation of creative ideas.
Ultimately, to achieve innovative products organizations must produce creative ideas which they must transition into innovative output. Therefore, creative
performance requires success across a series of processes
to achieve innovation.
Lubart (2001) detailed the long history of the process
approach to creativity, which is heavily influenced by
the work of Dewey (1910), Wallas (1926), and later
Guilford (1950). More recently, Mumford and
colleagues have proposed the eight-step process model
for creative thinking (Baughman & Mumford, 1995;
Hunter, Freidrich, Bedell, & Mumford, 2007; Mumford,
Baughman, Maher, Costanza & Supinski, 1997;
Mumford, Mobley, Uhlman, Reiter-Palmon, & Doares,
1991). The eight core processes are problem construction, information gathering, concept selection, conceptual combination, idea generation, idea evaluation,
implementation planning, and monitoring. The processes of this model represent different stages along
the creative process meant to help with the overall
understanding of creative cognition in organizations.
Although presented as eight discrete linear stages, they
are better represented as a series of dynamic, interrelated
activities. For reasons of parsimony, some researchers
have conceptualized the eight processes using the heuristic of early, middle, and late stage activities (Hunter,
Cassidy, et al., 2011)—an approach consistent with
other process models of creativity (Amabile, 1996).
The leadership implications of viewing creativity as a
process, rather than a singular phenomenon, are noteworthy for several reasons. First, a process perspective
on creative performance implies that innovation will
require success across many different individual, team,
and organizational activities (Mumford & Hunter,
2005). That is, for innovative products to make it to
market, organizations must succeed at early processes
such as opportunity recognition, middle stage processes
such as idea generation, and late stage processes such as
implementation planning. Taken a step further, early
models of leadership express that leaders vary with
regard to their success across contexts (e.g., Fiedler,
1964, 1967; House, 1971). It stands to reason, then, that
leaders may be more or less successful in the management of these varying creative processes—a contention
observed in some studies of leading for innovation
(e.g., Mumford et al., 2006). Thus, understanding which
leadership styles are most effective for the facilitation of
varying creative processes will prove useful.
Although the creative process model provides an
indication of what activities are necessary for innovation, it is important to note that performance across
these activities is impacted by a number of organizational factors (Woodman et al., 1993). In their assessment of workplace climate for creativity, Amabile et al.
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INFLUENCING CREATIVE PERFORMANCE
(1996) found support for encouragement of creativity,
autonomy, resources, pressures, and organizational
impediments as the main conceptual categories of work
environment factors that influence creativity. Due to
their position of authority within a given organization,
leaders are uniquely placed to influence all these factors.
Therefore, leaders within organizations must react
accordingly to the perceived need for creative performance today by finding methods to supplement, maintain, and even increase the creative performance of
their employees (Atwater & Carmeli, 2009).
A limited number of studies have examined the
impact of leadership on creativity. Redmond et al.
(1993) found that leader behavior contributed to problem construction and self-efficacy which led to subordinate creativity. Choi et al. (2009) examined how leader
behavior can have detrimental effects on creativity finding that aversive leadership and unsupportive organizational climate were negatively related to creativity.
Atwater and Carmeli (2009) found that leader member
exchange had a positive relationship with an employee’s
feeling of energy which led to high involvement in creative work. Elenkov and Manev (2009) found a direct
relationship between visionary-transformational leadership and the rate of innovation adoption in companies
across 27 countries in the European Union. Although
other examples exist, these should suffice to make the
basic point: Leadership impacts creative performance.
The primary question that remains; however, is how
do leaders facilitate innovation? Therefore, it is important to discuss on leadership and its role in eliciting
creative performance.
LEADERSHIP
A main focus of this study is the examination of how
certain leadership styles influence creative performance
during specific tasks. The CIP model of leadership was
developed based on the work of Max Weber (1924),
who presented the three forms of management
authority: traditional, rational, and charisma (Hunter,
Cushenbery, Thoroughgood, Johnson, & Ligon, 2011).
Mumford and colleagues’ CIP model of outstanding
leadership used Weber’s framework to identify three
classifications of leaders: charismatic, ideological, and
pragmatic (Caughorn, 2010; Friedrich, 2010; Mumford,
2006; Mumford, Antes, Caughron, & Friedrich, 2008).
The CIP theory generally proposes that there is no single
method to be an effective leader. Rather, leadership
styles vary and individuals can be successful without,
for example, being loved or admired by their subordinates and instead achieve success via rational appeals
(Mumford, Strange, & Bedell, 2006; Strange &
Mumford, 2002).
61
Mumford, Scott, and Hunter (2006) proposed that
the three leadership styles differ in a number of
ways—ways that are most pronounced and evident during crises where sensemaking is sought by subordinates.
According to the theory, leaders apply a prescriptive
mental model that establishes the framework necessary
to direct sense-making activities. These prescriptive
mental models have seven factors that differentiate
charismatic, ideological, and pragmatic leaders: time
orientation, type of experience available, nature of outcomes sought, type of outcomes sought, focus in model
construction, locus of causation, and general controllability of causation (Mumford, Scott, et al., 2006). Each
leadership style and the specific behaviors they display
are discussed below.
Charismatic Leadership
Charismatic leaders are future-goal oriented, stressing
the importance of their vision of the future (Mumford
et al., 2004; Mumford, Scott, et al., 2006). More specifically, they help their followers understand the problems
they face by providing a sense of identity, establishing a
perception of shared experiences and a shared future,
and laying out a pathway to solve the problems,
enabling followers to make decisions in accordance with
the shared vision (Bedell, Hunter, Angie, & Vert, 2006).
Bedell-Avers et al. (2008) explained that charismatic leaders depend on a future-oriented vision, finding success
in ordered environments, stressing positive experiences,
targeting the masses, and attempting to influence followers’ actions and not necessarily their understanding
of a situation. Generally, charismatic leaders’ strengths
are identified by their ability to communicate using
follower-based appeals with well-developed engagement
skills using emotional persuasion, eloquence, and focusing on followers’ social and personal needs (Mumford,
Scott, et al., 2006).
Ideological Leadership
Bedell-Avers et al. (2008) summarizes ideological leader
behavior as typically emerging in chaotic situations,
focusing on a past vision, using negative experiences like
past failures, appealing to a core group of followers, and
attempting to influence the basic causes of a situation.
Ideological leaders, like charismatic leaders, are characterized by their ability to make strong follower-based
appeals. In some cases, ideological leaders may even
make stronger appeals than charismatic leaders because
they are based on shared beliefs and values. Ideological
leaders establish an emotionally salient vision that is
based on traditional values established on shared beliefs
(Bedell et al., 2006). The power of shared ideals for ideological leaders lies in their ability to share their direction
62
LOVELACE AND HUNTER
with key lieutenants increasing their ability to influence,
and, when skilled at problem solving, their ability to
conceptually integrate change and crisis with shared
ideals (Mumford, Scott, et al., 2006).
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Pragmatic Leadership
Pragmatic leaders create solutions based on the threats
and opportunities presented by the situation. BedellAvers et al. (2008) explained that pragmatic leaders stress
neither goals nor causes, usually arising in stable environments with local opportunities, focusing on problemsolving instead of a specific vision, using both positive
and negative experiences, and usually appealing to elites
that understand the problem. The success of pragmatic
leaders is often found in their ability to develop viable
solutions to problems (Bedell et al., 2006). They do not
have the emotional impact of charismatic and ideological
leaders, but their success in problem-solving often leads
to tremendous influence in organizations (Mumford,
Scott, et al., 2006). Pragmatic leaders depend on logic,
as opposed to emotionally evocative arguments, to
influence=develop their support base (Mumford, Antes,
et al., 2008).
CIP Model of Leadership and Creative Performance
Previous research on various other theories and models
of leadership consistently demonstrate that leadership
style has a direct effect on subordinate task performance, which includes creative task performance
(Atwater & Carmeli, 2009; Choi et al., 2009; Elenkov
& Manev, 2009; Lyons & Schneider, 2009; Tierney
et al., 1999). An essential premise of the CIP model of
leadership is that different styles of leadership can be
equally effective. Several studies examined the leadership styles of the CIP model of leadership and found evidence to support the assertion that multiple styles of
leadership have the potential to lead to outstanding
results and that the results do not differ on the aggregate
(Bedell-Avers et al., 2008; Mumford, Bedell, et al., 2006;
Mumford, Gaddis, Strange, & Scott, 2006; Mumford &
Van Doorn, 2001). Thus, it stands to reasons that
averages across tasks will show no performance differences on the quality and originality of subordinate
creative performance, leading to hypothesis 1:
Hypothesis 1:
There will not be significant difference for the overall creative performance (on quality and originality)
of individuals in different leadership
conditions.
As previously explained, there are clear differences in
the techniques and approaches used by each of the three
CIP leadership styles. Thus, although overall performance levels are not predicted to differ across the CIP
leadership styles, the types of behavior they emphasize
and engage in are theorized to differ substantially.
Establishing that CIP leadership styles have similar
overall results, Mumford, Bedell, et al. (2006) examined
the differences between charismatic, ideological, and
pragmatic leaders, as well as their creative problem solving strategies and leader performance by conducting a
thorough historiometric analysis of leader biographies.
They found that leaders apply different skills and
approaches in solving novel problems for organizations.
Charismatic leaders focused on idea generation, pragmatic leaders focused on problem analysis, and ideological leaders focused on idea evaluation. Each leader’s
ability to integrate ideas and potential solutions with
external demands was the critical determinant of performance, not leadership style.
Similarly, Bedell-Avers et al. (2008) examined individual leader’s ability to solve creative problems while evaluating quality and originality in different domains. They
found that leadership style did not impact overall
problem-solving performance. Meaning, different types
of leaders are able to solve problems successfully using
different methods. However, researchers did find that
different conditions facilitated high quality and original
solutions from charismatic, ideological, and pragmatic
leaders. Pragmatic leaders typically produced solutions
of average quality and originality across conditions;
whereas, ideological and charismatic leaders produced
high quality and original solutions contingent upon the
situation=domain. Overall, the current literature indicates that charismatic, ideological, and pragmatic leadership are not associated with different aggregate levels of
performance, but context does matter with regard to the
quality and originality of outcomes in relation to leadership style. Different types of leaders use different methods and focus on different areas=tasks that correspond
to different steps along the creative process.
Although Mumford, Bedell, et al. (2006) and BedellAvers et al. (2008) focused on leadership style and the
leader’s performance, this study aims to understand
further the influence of each leadership style on the creative performance of subordinates. Overall creative performance of leaders appears to be fairly consistent
across the CIP leadership styles based on the literature.
However, Mumford, Bedell, et al. (2006) also evaluated
leaders’ performance in regard to the eight core processes involved in creative thought and found differences
in the performance level of the leaders at specific stages
of the creative process (Hunter et al., 2007; Mumford
et al., 1991).
For our study, the eight core processes are organized
into three different stages: earlystage, middle-stage,
and late-stage creative performance. Early-stage creative
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INFLUENCING CREATIVE PERFORMANCE
performance includes problem identification, information gathering, and concept selection. Middle-stage
creative performance consists of conceptual combination and idea generation. Last, late-stage creative
performance is composed of idea evaluation, implementation planning, and monitoring. Mumford et al. (2006)
explained that pragmatic leaders focus on problem
analysis translated to higher performance on problem
identification, information gathering, and concept selection. Ideological leaders also outperformed charismatic
leaders on these processes. Results indicated that charismatic leaders focus on their future-oriented vision was
heavily dependent on idea generation, which resulted
in higher scores during the middle stage of creative
performance, compared to ideological and pragmatic
leaders. Ideological leaders’ tendency to be more evaluative led to higher scores on idea evaluation and solution
monitoring. Therefore, when specific leadership styles
are applied to specific stages of the overall creative processes, results will differ—hence the development of the
following set of hypotheses.
Hypothesis 2a:
Hypothesis 2b:
Hypothesis 2c:
Participants led by a pragmatic
leader will display the highest level
of creative performance (on quality and originality) on early stage
creative tasks, followed by ideological leaders and then charismatic leaders.
Participants led by a charismatic
leader will display the highest level
of creative performance (on quality and originality) on middle stage
creative tasks, followed by ideological leaders and then pragmatic
leaders.
Participants led by an ideological
leader will display the highest level
of creative performance (on quality and originality) on late stage
creative tasks, followed by charismatic leaders and then pragmatic
leaders.
CONTEXT
Crisis, as a contextual variable, is often associated with
emergence of, and desire for, leadership. It is generally
accepted that outstanding leadership styles emerge when
there is a crisis situation (Beyer, 1999; Mumford, Scott,
et al., 2006). Bligh, Kohles, and Meindl (2004) provided
a practical example of charismatic leadership emerging
after the attacks on the United States on September
11th, 2001. Their analysis of public speeches and the
media’s portrayal of President Bush prior to and
63
following the attacks demonstrated an increase in charismatic characteristics. It is important to understand
that the context of the situation can impact how the leader’s message is perceived by subordinates, which consequently has major implications on the influence that
leader may or may not have with their subordinates.
The influence and impact of the leader directly affects
performance outcomes.
Although Bedell-Avers et al. (2008) found that leadership style did not result in differences in overall
problem-solving performance; instead the situation mattered with respect to the production of high quality and
original problem solutions, especially for charismatic
and ideological leaders. Hunt, Boal, and Dodge (1999)
found that in the absence of a crisis condition the effects
of certain leadership styles decay faster than others. The
context of the situation influenced the length of influence for certain leadership styles. In a meta-analysis
examining the relationship of stressors and creative performance, Byron et al., Kha (2010) found that the
relationship is more complicated than simply saying
stressors increase or decrease creative performance.
Basically, low-stress conditions increase creative performance and high-stress inducing tasks decrease
performance.
In their examination of creativity, Oldham and
Cummings (1996) showed that several contextual characteristics had a significant impact on performance.
When referring to creative outcomes specifically, results
indicated that individuals demonstrated the most
creative work when they had high levels of creativityrelevant personal characteristics, worked on complex
and challenging jobs, and had supportive supervisors
that operated in a noncontrolling manner. Further,
Oldham and Cummings identified that contextual variables that limit or restrict an individual’s excitement
for a task have a negative impact on an individual’s
intrinsic motivation and subsequently their creative performance (Amabile, 1983; Amabile, Hadley, & Kramer
2002). More specifically, Shalley, Zhou, and Oldham
(2004) identified time deadlines and goals as contextual
variables that impact creative performance by lowering
an individual’s intrinsic motivation (Amabile, 1996).
Additionally, J. Andrew and Smith (2006) found that
when marketing professionals experienced time pressure
they produced less creative ideas. Also, F. M. Andrews
and Farris (1972) found that, although some time
pressure was actually associated with higher levels of
creative performance, when the time pressure reached
an undesirable level it had a negative impact on creative
performance.
Therefore, the evidence demonstrates that context of
the situation has a major impact on creative performance. Higher levels of stress influence individual intrinsic motivation and have a negative impact on creative
64
LOVELACE AND HUNTER
performance. Considering stress as a specific contextual
variable leads to the next hypothesis.
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Hypothesis 3:
There will be an overall main effect
in creative performance for task
stress such that participants in the
lower-stress condition will perform
at a higher level than those in the
higher-stress condition.
Bedell-Avers et al. (2008) explained that pragmatic
leaders show consistent performance across situations
regardless of context. Pragmatic leaders’ use of problem
solving skills and use of rational persuasion are essential
to their consistent performance. Pragmatic leaders focus
on rational ideas, and problem-solving skills are also
reasons that people do not accept a pragmatic leader
as quickly as they might accept a charismatic or ideological leader who pushes a specific vision and uses
emotional appeals. Mumford and Van Doorn (2001)
also suggested that because pragmatic leaders focus on
social utility as opposed to an overarching social vision
subordinates’ investment in the situation is limited and,
as a result, may not inspire strong affective reactions
(Bass, 1990). Therefore, there may be a range limitation
on a subordinate’s reaction to a pragmatic leader.
Although pragmatic leaders may not inspire the highest
levels of performance, they will keep their subordinates
more emotionally stable during a response to a crisis.
Additionally, pragmatic leaders often gain trust from
within the organization based on the consistency of their
performance over time. Therefore, the manipulation of
the perception of available time given for each for each
creative task may vary based on each leadership condition—hence hypothesis four.
study. The average age of the participants was 18.86.
The participants were 74.7% women and 25.3% men.
The ethnicity of the participant sample was of 76.0%
Caucasian, 9.6% Asian, 7.2% African American, 6.9%
Hispanic, and .3% Pacific Islander.
Covariates
Participants were asked to complete several questions on
personal and demographic information to control for
possible individual differences during the study. Barron
and Harrington (1981) explained that it is important to
account for differences in levels of intelligence and for
other individual demographic differences like age and
gender. Mumford, Marks, Connelly, Zaccaro, and
Johnson (1998), for example, found correlations between
intelligence and divergent thinking consequence tasks,
a method to gauge individual creative ability. As a
result, information requested from participants included
current GPA, SAT scores for math and verbal, participant gender, age, and academic major. The intent for
collecting the information on individual differences
was to account for likely sources of variance to ensure
the variance detected was a result of the study
manipulations.
METHOD
Personality. Feist (1998) pointed out that personality psychology and the study of creativity both stress
the uniqueness of the individual. Additionally, Feist
clearly demonstrated that personality variables cause
variation in creative performance. Also, in their literary
review, Barron and Harrington (1981) highlighted
numerous studies that clarified and supported the need
to account for the variance in creative performance produced by personality differences. To control for the variance produced as a result of individual differences in
personality it is important to measure personality differences. Therefore, all participants completed scales measuring the Big Five personality variables (Goldberg,
1992). The variables measured included extraversion,
agreeableness, conscientiousness, openness, and neuroticism. Each variable was measured using a 1–5 scale with
responses ranging from disagree strongly (1) to agree
strongly (5). The scale has an established Cronbach’s
alpha .79 for all five subscales.
Participants from a northeastern university were
recruited from the psychology department’s subject pool
and were randomly assigned into conditions. Conducting a power analysis using G Power (effect size ¼ .25,
error probability ¼ .05, and power ¼ .95) indicated that
a total of 251 participants were needed for the study.
There were 336 individuals that participated in the
Creative potential. Participants were evaluated on
their creative potential using two different methods.
First, they were required to complete a self-report measure of creative performance using four items on a 1–5
scale (Shalley et al., 2004). Second, participants also
completed a series of divergent thinking tasks that asked
the participant to come up with as many solutions as
possible to a unique problem (Baer, 1993). Divergent
Hypothesis 4:
There will be an interaction between
leadership condition and stress condition such that pragmatic leaders
will show the least amount of
change in creative performance followed by charismatic and ideological leaders.
Participants
INFLUENCING CREATIVE PERFORMANCE
thinking tasks are reliable and valid indicators of
creative potential (Hunter, Cassidy, et al., 2011; K. H.
Kim, 2008; Merrifield, Guilford, Christiensen, & Frick,
1962). The two tasks provide different methods of
measuring an individual’s creative ability, which ensure
that creative potential, or lack thereof, does not confound the study’s results.
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Dependent Variables
The two dependent variables were ratings of quality and
originality made on three creative tasks. Specifically, the
products generated by study participants were coded on
a 1–5 scale with separate ratings for quality and originality using benchmarks established prior to coding.
This modified Q-sort technique is based on the work
of Redmond et al. (1993). Four coders were trained with
a minimum of 20 hr to evaluate the participants’ products (ICCs of quality and originality across each of
three separate tasks were above .81).
Procedures
The participants were introduced to the study by a confederate playing the role of an experimenter, and were
randomly assigned to one of the three leadership conditions, as well as to either a low- or high-stress condition.
During each session, participants were instructed that
interaction with other participants was not permitted.
The experimenter provided a general introduction to
the participants and guided them through filling out
their initial survey. Following completion of the initial
survey, participants completed a series of divergent
thinking tasks. Participants were then introduced to
their leader, who was operating as a study confederate.
The leader provided a basic description of the situation
and the general subject matter of the three creative tasks
that the participants would be required to complete. In
the low-stress condition, it was explained that they were
allotted 10 min for each task. In the high-stress condition participants were initially told that they would
be allotted 15 min for each task. Before the task began,
however, the experimenter interrupted the leader and
asked to see the leader outside the lab room for a
moment. The leader then returned to the room and
informed the participants that due to an external error
in scheduling, they would not have as much time to
complete the three exercises. They had 5 min less per
task, but there was no change in what they were
expected to be able to accomplish. Regardless of the
stress condition, all the participants had 10 min for each
exercise. Prior to the start of each task, participants were
reminded of the time requirements.
Next, the participants were led through three creative
tasks by the leader. The leader demonstrated the
65
behaviors and characteristics of one of the three CIP
styles of leadership. The differences between leadership
styles detailed in the literature were incorporated
into the scripts for each leadership condition (Bedell
Avers et al., 2008; Hunter, Cushenberry, et al., 2011;
Mumford, 2006; Strange & Mumford, 2002). These
differences depicted the varied approaches that each
leader utilized to lead participants through the study’s
creative tasks. Each leadership manipulation is labeled
with the various mental model factors used by the
different types of leaders. The stress manipulations
are also detailed in the scripts.
The three creative tasks that the participants completed as part of the study each represented activities
that occur during a specific stage of the creative thought
process (early-, middle-, and late-stage tasks). Each task
was independent from the other tasks to allow task
order to be rotated during each session to ensure that
task order did not confound the results of the study.
After completion of the creative tasks, the experimenter
returned to the room and the participants were required
to fill out a final survey that consisted of several manipulation checks. Participants were then debriefed and
thanked for their participation.
Manipulations
Confederates were trained to execute specific manipulations for each task, leadership styles under the CIP
model, and stress condition. Only female confederates
were used to act as the leader to avoid confounding
the study results with leader gender.
Task manipulation. Participants engaged in three
main tasks. Each task was specifically designed to represent activities that occur during one of the three stages
of the creative process. The early-stage task required
participants to complete an exercise focused on problem
identification, information gathering, concept selection,
and conceptual combination. The middle-stage task
required participants to address a situation through idea
generation and idea evaluation. The late-stage task
required participants to concentrate on implementation
planning and monitoring for a specific crisis. Participants were given specific instructions detailing the
requirements and limitations of their responsibilities to
ensure they focused on only the activities related to a
specific stage described in the task. Each task was autonomous from the other tasks to enable task order to be
randomized.
Leadership style manipulation. The work by
Mumford and colleagues on the CIP model of leadership served as the basis for the leadership styles used
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66
LOVELACE AND HUNTER
in this study (Mumford, 2006). The three leadership
styles described by the CIP model (charismatic, ideological, and pragmatic) were used to exhibit three theoretically outstanding leadership styles that research
indicates are equally effective on overall ratings for creative performance. Specific behaviors, detailed in the
literature, that differentiate the leaderships styles were
integrated into the scripts developed for our study.
The behaviors used to distinguish the leaders were time
orientation of the leader (future, present, or past), types
of experiences used by the leader (only positive, only
negative, or both), types of outcomes sought by the leader (positive, transcendental, or flexible), and use of
emotions by the leader (emotional or rational). Confederates memorized the scripts to emulate each leadership
style during designated sessions with participants. Each
confederate emulating the leader’s role in the study randomly rotated between the three different leadership
styles. There were three trained confederates that led
participants throughout the study. Each participant
was only exposed to one leadership style.
Stress manipulation. Similar to the crisis manipulation in Hunt et al. (1999), the expected time available
for the completion of the required tasks was manipulated in this study. The intent behind the manipulation
was to create two stress conditions. In the lower stress
condition, participants were informed from the beginning of the study that they had 10 min to complete each
of the tasks. In the higher stress condition participants
were initially informed that they had 15 min to complete
each task. However, before they were allowed to start
the first task, the experimenter interrupted the session
and asked to see the leader. When the leader returned
to the room, they explained to the participants that
due to an external source error, there were only 10 min
for each task. It was explained to the participants that
they were still expected to perform each task to standard. Participants were reminded of time requirements
before beginning each task. The stress manipulation
check results were examined during pilot testing.
Although not statistically significant, the results showed
trending information that those in the high-stress condition found the tasks more stressful than those in the
low-stress condition.
Manipulation Checks
At this time, there are no statistically supported scales
available that use subordinate ratings to categorize
leaders under the CIP model. The available scales are
currently designed for historiometric coding of leadership style based on biographies and other historical
materials (Hunter, Cassidy, et al., 2011; Mumford,
2006). Therefore, to assist in ensuring that the desired
manipulations were successfully achieved a group of
leadership and creativity researchers were recruited. A
total of 12 researchers were consulted, all with at least
2 years of lab experience with leadership and innovation studies or with graduate level research focus
experience on leadership and innovation. Six of the
team members have published articles or book chapters
on the topics of creativity or leadership. Each
researcher was first surveyed using a questionnaire that
clearly defined the leadership styles under the CIP
model and gave examples of the specific behaviors that
differentiate each leadership style. Next, researchers
were given unlabeled sections of the scripts for each
leadership condition and asked to identify the type of
leadership style being utilized. Responses were recorded
to ensure that the intended leadership style was evident
to the panel of researchers.
The same technique was used to ensure the planned
creative task manipulations were also effective. The creative process model was reviewed by the panel of
researchers. The panel of researchers was given the three
creativity tasks and asked to classify each as early-, middle-, or late-stage tasks under the creative process
model. Results from the surveys were examined and
then used to facilitate small group discussion to make
any minor necessary changes to the scripts to more
effectively capture the intended behaviors of the script
leadership style and better represent each specific stage
of the creative process model.
To ensure that the differences in subordinate performance were due to the behaviors of the leader and not
another possible leader influence, differences in the perceptions of the leader competence and use of power were
recorded. Participants completed items that gauged perceptions of competence in task, relationship, and change
behaviors based on Yukl’s (2007) taxonomy. Using a
1–5 scale ranging from strongly disagree to strongly
agree, 31 total items were utilized. Also, the participants
were asked to answer a series of questions adapted from
the Yukl, Kim, and Falbe (1996) measuring power tactics utilized. The scale includes questions on legitimate,
reward, expert, and referent power based on a 1–4
Likert-type responses. Additionally, questions on the
importance of the task and the enjoyment of implementation were also adapted from the Yukl et al. (1996)
scale and included.
Additionally, participants completed a perceived
stress scale, designed for this study, during the final survey meant to demonstrate the increased perceptions of
stress created by the stress manipulation. Using the
manipulation check from Hunt et al. (1999) as an
example, a two-item scale was utilized to evaluate the
stress condition in the study. The 1–5 Likert scale captured perceptions of time pressure and stress.
INFLUENCING CREATIVE PERFORMANCE
RESULTS
Means, standard deviations, and intercorrelations are
presented in Table 1. Although there were moderate to
high correlations between the ratings for quality and
originality for each task (.65, .49, and .67), the literature
stipulates that they still represent unique components of
creativity and should be addressed separately (Bessemer
& O’Quin, 1999; Runco & Jaeger, 2012). The results of
this study support this concept based on differences
found between groups.
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Manipulation Checks
Several manipulation checks were incorporated into the
final survey to ensure that the leadership condition and
stress condition had the desired impact on the participants. As predicted, across four measures of power
bases, liking, willingness to follow, and perceptions of
leader competence, there were no observed statistical
differences for the three leadership styles depicted in
the study. These findings lend support to the proposition
that although the leaders behaved differently (as
observed by small group discussion in laboratory meetings) the confederate leaders were all perceived as
equally competent. Thus, differences in outcomes across
leadership conditions can be attributed to stylistic,
rather than competence or power-based, differences.
It is of note that two other variables were collected
regarding perceptions of the task itself: importance of
the task and enjoyment of the task. Although no statistical differences were observed, enjoyment of the task
approached significance. Those in the charismatic
(M ¼ 2.77, SE ¼ .06) and the ideological condition
(M ¼ 2.72, SE ¼ .07) tended to rate the tasks as more
enjoyable than those in the pragmatic (M ¼ 2.58,
SE ¼ .06) condition. These trends provide some indication regarding the mechanisms operating for the leader types. Namely, it seems plausible that charismatic
and ideological leaders enhance task enjoyment as a
means to influence followers.
Finally, a two-item scale adapted from Hunt et al.
(1999) was used to record the amount of stress induced
by the scenario. Although not statistically significant,
those in the low-stress condition (M ¼ 2.49, SE ¼ .08)
generally perceived lower levels of stress based on the
situation than those in the high-stress condition
(M ¼ 2.54, SE ¼ .07).
Covariates
Using a stepwise analysis, all covariates were examined
and it was determined that six covariates should be
included in the final analysis based on their significance
and the need to maximizes degrees of freedom. The
following covariates were retained: ethnicity was coded
67
as Caucasian versus non-Caucasian; F(2, 318) ¼ 12.70,
p .01); session leader session leader; F(2, 318) ¼
3.79, p .05; divergent thinking flexibility; F(2, 318) ¼
9.27, p .05; consequences two flexibility; F(2,
318) ¼ 5.17, p .05; and agreeableness; F(2, 318) ¼
4.06, p .05.
Tests of Hypotheses
A repeated-measures analysis of variance (RMANOVA)
was conducted to examine the effect of the leadership
condition and stress condition on the quality and originality ratings of subordinate performance on the three
creative tasks. Hypothesis 1 predicted that there would
be no significant differences between the overall ratings
of creative performance (on quality and originality).
However, there was a main effect for leadership condition for overall creative performance quality; F(2,
318) ¼ 5.68, p .00, but not for originality; F(2,
318) ¼ 2.68, p .07. The results are depicted in
Figure 1. In terms of ratings on quality, individuals in
the charismatic (M ¼ 2.73, SE ¼ .04) and ideological
(M ¼ 2.77, SE ¼ .05) leadership conditions outperformed those in the pragmatic (M ¼ 2.56, SE ¼ .04)
leadership condition. Individuals in the pragmatic condition did not perform as well in terms of quality as individuals’ with a charismatic or ideological leader.
Hypothesis 1 was not supported.
There was a significant interaction between leadership conditions by creative task; F(4, 638) ¼ 4.68,
p .01. See Table 2 for more details. Therefore, subordinate performance on each task was evaluated by
each leadership condition to determine where the interactive effect took place. Hypothesis 2a, 2b, and 2c each
predicted that there would be significant differences on
creative performance by each creative task. Hypothesis
2a focused on the early-stage task results, hypothesis 2b
focused on the middle-stage task results, and hypothesis
2c focused on the late-stage task results.
Recall that hypothesis 2a postulated that on an
early-stage creative task those in the pragmatic leadership condition would outperform both ideological and
charismatic leaders with those in the ideological condition outperforming those in the charismatic condition.
On ratings of quality, there were no significant differences between pragmatic (M ¼ 2.543, SE ¼ .06), ideological (M ¼ 2.69, SE ¼ .067), or charismatic (M ¼ 2.61,
SE ¼ .06) leadership conditions. There were also no
significant differences on ratings of originality for pragmatic (M ¼ 2.63, SE ¼ .06), ideological (M ¼ 2.69,
SE ¼ .06), or charismatic (M ¼ 2.65, SE ¼ .06) leadership conditions. Therefore, there was no support for
hypothesis 2a.
Hypothesis 2b stated that on a middle-stage creative
task, those in the charismatic leadership condition
1.00
.23
1.00
.29
.28
1.00
.29
.21
.67
Correlation is significant at the 0.01 level (2-tailed).
FIGURE 1 Estimated marginal means of quality of creative performance by leadership condition. (Figure is provided in color online.)
Note. Correlation is significant at the 0.05 level (2-tailed).
1.00
.40
.40
.65
.27
.25
1.00
.04
.24
.11
.19
.20
.20
.14
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
Leader condition
2.03
0.83 1.00
Stress condition
1.52
0.5
.02
Session leader
1.87
0.78
.11
Ethnicity—Caucasian=Other
0.24
0.42
.11
Age
2.88
1.80
.01
Gender
.25
.44 .06
SAT verbal
609.44 144.58
.03
SAT quantitative
618.14 123.31 .05
DV thinking flexibility
6.13
2.03 .11
Consequences 2 flexibility
4.62
1.61 .12
Agreeableness
4.1
0.55
.04
Task 1—Quality
2.6
0.68 .08
Task 2—Quality
2.64
0.59 .22
Task 3—Quality
2.78
0.64 .11
Task 1—Originality
2.65
0.61 .05
Task 2—Originality
2.74
0.57 .26
Task 3—Originality
2.81
0.63 .01
1.00
.06
.01
.03
.08
.05
.02
.09
.00
.13
.14
.11
.06
.01
.07
.05
1.00
.04
.00
.05
.00
.08
.12
.12
.08
.03
.05
.04
.04
.05
.08
1.00
.01
.09
.10
.01
.09
.15
.09
.24
.22
.28
.21
.10
.19
1.00
.13
.04
.02
.01
.13
.11
.11
.04
.08
.00
.09
.04
1.00
.04
.24
.09
.07
.18
.01
.00
.06
.01
.09
.05
1.00
.61
.08
.04
.01
.14
.04
.10
.09
.07
.09
1.00
.06
.06
.19
.04
.03
.08
.07
.10
.06
1.00
.24
.00
.15
.16
.13
.13
.35
.14
1.00
.10
.03
.19
.08
.07
.22
1.00
.36
.28
.49
.22
16
15
14
13
12
11
10
9
8
7
6
5
4
3
2
1
SD
M
TABLE 1
Means, Standard Deviations, and Intercorrelations for Study Variables
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1.00
LOVELACE AND HUNTER
17
68
would outperform individuals in the ideological and
pragmatic leadership conditions with those in the ideological condition outperforming individuals in the pragmatic condition. On ratings of quality, subordinates in
the charismatic (M ¼ 2.76, SE ¼ .05) and ideological
(M ¼ 2.70, SE ¼ .06) conditions significantly outperformed those in the pragmatic (M ¼ 2.48, SE ¼ .05) condition. As seen in Figure 2, in terms of originality, those
in the charismatic (M ¼ 2.95, SE ¼ .05) condition significantly outperformed subordinates in the ideological
(M ¼ 2.62, SE ¼ .05) and pragmatic (M ¼ 2.66,
SE ¼ .05) conditions. Therefore, there was partial support for hypothesis 2b.
Hypothesis 2c asserted that on a late-stage creative
task, individuals in the ideological leadership condition
would outperform those in the charismatic and pragmatic leadership conditions with subordinates in the
charismatic condition outperforming individuals in the
pragmatic condition. On ratings of quality, subordinates
in the ideological (M ¼ 2.90, SE ¼ .06) conditions significantly outperformed those in the pragmatic (M ¼ 2.67,
SE ¼ .06) condition. Individual performance in the charismatic (M ¼ 2.81, SE ¼ .06) condition was not significantly different than people in the ideological or
pragmatic conditions. On ratings of originality, there
was no difference between the ideological (M ¼ 2.84,
SE ¼ .06), charismatic (M ¼ 2.81, SE ¼ .06), or pragmatic (M ¼ 2.80, SE ¼ .06) conditions. Therefore, there
was minimal support for hypothesis 2c.
Hypothesis 3 predicted that individuals in the
low-stress condition would have higher levels of creative
performance (on quality and originality) than individuals in the high stress condition. As seen in Figure 3,
there was a main effect for stress condition for overall
creative performance for quality, F(1, 318) ¼ 3.94,
p .01, but not for originality; F(1, 318) ¼ .02, p .05.
INFLUENCING CREATIVE PERFORMANCE
69
TABLE 2
Repeated Measures Analysis of Variance for Creativity Outcomes
Quality and Originality
Quality
F
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Between subjects:
Leader condition
Stress condition
Leader condition stress
condition Task
Within subjects:
Task
Leader condition task
Stress condition task
Leader condition stress
condition task
df
p
g2
Originality
F
df
p
g2
5.84 2 .00 .035 2.38 2 .09 .015
6.90 1 .01 .021 .05 1 .83 .000
1.72 2 .18 .011 .80 2 .45 .005
1.74
1.50
.94
.46
2
4
2
4
.18
.20
.39
.76
.005 1.04 2 .35 .003
.009 4.68 4 .00 .029
.003 .88 2 .42 .003
.003 .90 4 .47 .006
2
Note. g ¼ partial eta squared. Results presented have been controlled for by ethnicity, session leader, divergent thinking ability, and
agreeableness.
FIGURE 2 Estimated marginal means of originality of creative performance by leadership condition by creative task. (Figure is provided
in color online.)
FIGURE 4 Estimated marginal means of quality of creative performance by leadership condition by stress condition. (Figure is provided
in color online.)
For quality, those in the low-stress (M ¼ 2.75, SE ¼ .04)
condition significantly outperformed individuals in the
high-stress (M ¼ 2.62, SE ¼ .03) condition. Therefore,
hypothesis 3 was partially supported.
Hypothesis 4 postulated that there would be an interactive effect between leadership conditions and stress
conditions; such that, those in the pragmatic condition
would show the least amount change from the low to
high stress condition followed by charismatic and then
ideological leaders. For the charismatic condition, those
in the low-stress (M ¼ 2.82, SE ¼ .06) condition were
significantly different than subordinates in the
high-stress (M ¼ 2.63, SE ¼ .06) condition. For the ideological condition, those in the low-stress (M ¼ 2.86,
SE ¼ .07) condition were significantly different than subordinates in the high-stress (M ¼ 2.67, SE ¼ .06) condition. Only in the pragmatic condition was there no
significant difference between the low-stress (M ¼ 2.57,
SE ¼ .06) condition and the high-stress (M ¼ 2.66,
SE ¼ .06) condition. As depicted in Figure 4, both the
charismatic and ideological conditions showed a significant amount of change although there was no significant
difference in the pragmatic condition. Therefore,
hypothesis 4 was supported.
DISCUSSION
Overall Creative Performance
FIGURE 3 Estimated marginal means of quality of creative performance by stress condition. (Figure is provided in color online.)
In this study, charismatic and ideological leaders’ subordinates performed significantly better than individuals
with a pragmatic leader in terms of ratings for quality.
There are a few possible explanations for this overall
performance difference. First, there may actually be
performance differences based on leadership condition.
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70
LOVELACE AND HUNTER
The controls built into the scripts for the study would
suggest the cause of the performance differences would
be a result of a leader’s specific behaviors. However,
an alternate explanation may be more likely. Mumford
and colleagues articulated that pragmatic leaders emerge
after having the opportunity to develop a reputation for
consistent performance over time (Mumford, Bedell,
et al., 2006). Pragmatic leaders focus on rational appeals
and gain the support and trust of others around them
once they demonstrate their ability to solve problems.
This study gauges creative performance after a short,
one-time interaction between the leader and the participant. Charismatic and ideological leaders’ ability to
engage others on a more personal level and their use
of emotional appeals may not require that same amount
of time to emerge in a given situation. Consequently, it
is reasonable to suggest that pragmatic leaders did not
have the chance to establish themselves, under the study
conditions, with their subordinates as effectively as
charismatic or ideological leaders.
Creative Performance on Specific Tasks
Although the results showed no strong differences on the
early- and late-stage tasks, there were performance differences on the middle-stage creative task. Charismatic
leaders influenced the performance of their subordinates
above and beyond ideological and pragmatic leaders on
middle-stage creative tasks. Specifically, originality, but
not quality, was greater when participants were led by
a charismatic leader. They impacted the ability of individuals to come up with more novel, but not necessarily
higher quality, output. This study replicated the results
of Mumford, Bedell, et al. (2006), which demonstrated
leader performance differences on middle-stage tasks
that extend the results from leader performance to the
creative performance of subordinates. Mumford, Bedell,
et al. (2006) suggested that charismatic leaders performed best on middle-stage creative tasks because of
their focus on the facilitation of idea generation. The
concept that charismatic leaders perform and inspire
better performance on middle-stage creative tasks has
specific implications on practical settings and future
research. Also, it supports that the idea that having both
ratings of quality and originality is useful; without this
distinction in outcome criteria observed differences
across conditions may not have been as evident.
Stress Effect
In congruence with previous results, this study found
that stress directly impacts performance levels (Byron
et al., 2010; Hunt et al., 1999). In this study, the stress
condition’s impact was isolated to ratings of creative
performance for quality. The evaluation of the quality
of the creative performance is based on whether the
output is logical, complete, and coherent (Besemer &
O’Quin, 1999; Redmond et al., 1993). In the low-stress
condition, individuals produced higher quality
responses than those in the high-stress condition.
The manipulation check indicated through trending
data that individuals found the high-stress condition
slightly more stressful. In accordance with the literature
presented in support of hypothesis 3, individuals were
manipulated to think that they were battling time pressures which, according to theory, influenced their intrinsic motivation (Amabile, 1983; Amabile et al., 2002;
Oldham and Cummings, 1996). As a result, creative performance ratings of quality were negatively impacted. It
is notable that ratings of originality were not impacted
by the manipulation. It is possible that originality is a
more internalized attribute that emerges regardless of
stress level or intrinsic motivation. Additional research
should test the impact of various levels of stress to examine if originality and intrinsic motivation might be more
significantly influenced by a much higher levels of stress.
Regardless, it was again useful to have both ratings of
quality and originality for creative performance.
Leadership by Stress Effects
Based on current findings in the literature, it was
correctly hypothesized that pragmatic leaders would
show the least amount of change based on the stress
condition (Bedell-Avers et al., 2008). Pragmatic leaders
are dependent on rational persuasion and their problemsolving skills. Although their tendencies often take them
longer to gain support within an organization, it also
causes less affective reactions to stressful conditions
(Bass, 1990; Mumford & Van Doorn, 2001). Pragmatic
leaders may not inspire the high levels of performance,
but they are able to influence those around them to
maintain more emotionally stable dispositions during
crisis situations.
Theoretical Implications
The results of this study have several implications for
leadership and creativity research. First, one of the fundamental elements of the CIP model of leadership is that
multiple forms of leadership have the potential to result
in outstanding performance (e.g., Bedell-Avers et al.,
2008; Mumford, 2006; Mumford & Van Doorn, 2001).
The indication is that no one style of leadership is better
than any other style of leadership. The main effect for
quality for creative output contradicts this portion of
theory. Pragmatic leaders inspired much lower levels
of idea quality in this study. The consistent poor performance of pragmatic leaders could simply mean that
pragmatic leaders are not as good as ideological and
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INFLUENCING CREATIVE PERFORMANCE
charismatic leaders or something not accounted for
by the study is going on. Mumford (2006) explained that
pragmatic leaders establish themselves in organizations
by showing that they are capable problem solvers over
the course of time as they build their reputation for
being able to get the job done. The leaders in this study
were not able to establish a salient reputation with the
participants of this study due to nature of the one-time
interaction and time restrictions with individuals from
a university subject pool. Further research would help
clarify if the performance differences are found in both
short-term versus long-term relationships and in an
academic versus practical settings.
The second implication of the study is that several
findings support the basic premise for using both ratings
of quality and originality when evaluating creative performance (Besemer & O’Quin, 1999). There are several
points that support rating both quality and originality
for creative performance outcomes. First, a main effect
for quality was identified for overall performance. This
same effect was not demonstrated for originality.
Second, an interactive effect for originality was present
for charismatic leaders on middle-stage creative tasks.
Charismatic leaders’ focus on idea generation during
middle-stage tasks influenced subordinates specifically
on originality, but not quality. Third, stress was found
to impact directly the quality of individual creative performance, but not the originality. Both quality and originality were impacted by manipulations in the study.
However, separate manipulations influenced them both
differently. Therefore, having both ratings enabled specific information to be identified that may otherwise
have been missed by using only one rating for creative
performance.
Practical Implications
The results of this study also have several practical
implications, as well. First, based on the poor performance of pragmatic leaders, it is important to give them
the time necessary to gain support from within the
organization by developing a reputation for consistent
performance. Pragmatic leaders gain their support over
the course of time by proving that they are capable of
solving problems. The poor performance of their subordinates during this study indicates that they are not the
right fit for short duration creative tasks. They need to
be given opportunities to prove themselves to their subordinates. This may impact how a supervisor develops
an up-and-coming pragmatic leader. Pragmatic leaders’
inability to positively impact subordinate performance
when they are new to an organization could severely
hamper the number of opportunities they are given earlier in their time within an organization. However, the
support found for the consistency of pragmatic leaders’
71
influence on subordinates’ performance, regardless of
levels of stress, could be extremely beneficial for organizations that operate in dynamic environments.
The results of this study indicate that when there is a
short duration middle-stage creative task, a charismatic
leader appears to be the best person for the job. A greater understanding of leadership styles and their influence
on subordinate creative performance may help to identify which type of leader should be selected during different stages of the creative process. Depending on the
replication of these results in future research; the study
results may be applied to the actual selection process
for choosing certain leaders to take responsibility for
specific tasks.
Limitations
There are a few limitations that should be considered
in regard to this study. First, the limited ethnic and
age diversity in the population of the subject pool
may limit the generalizability of the results. Although
lab studies often produce questions about generalizability, it is not unreasonable to suggest that undergraduates are capable of serving as surrogate subordinates
in an experimental setting. Moreover, studies of subordinate attitudes in experimental settings are fairly common and have been shown to be applicable to
practitioners (P. H. Kim, Dirks, Cooper, & Ferrin,
2006; P. H. Kim, Ferrin, Cooper, & Dirks, 2004).
Additionally, there is some indication that effects
observed in field settings and experimental settings
are highly correlated (Anderson, Lindsay, & Bushman,
1999; Cohen-Chararsh & Spector, 2001). Thus,
although generalizing to applied settings is cautioned,
it does not appear unreasonable as a starting point
for field investigations.
Second, Hunter, Friedrich, Bedell-Avers, and
Mumford (2007) pointed out that a major limitation
of many leadership studies is the inability to examine
the impact of the different leadership styles over a longer
period of time. Due to the limitations of the subject pool
used, this study is not longitudinal in nature. This limitation may have impacted the performance of those
individuals in the pragmatic condition since they did
not have the time necessary to build a reputation for
consistent performance that people grow to recognize
and respect. Additionally, research is necessary to not
only address the longitudinal nature of the study, but
to attempt to replicate the results of this study and its
predecessors in a field sample.
Last, the literature on scale development for the CIP
Model of leadership is not extremely well-developed at
this time. The majority of the research deals with coders
of historical information or self-rated tasks based on
provided scenarios. The availability of proven scales
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LOVELACE AND HUNTER
that produce reliable results are not widely available at
this time. Future research into the matter would go a
long way to assisting this specific need. To compensate
for this shortcoming, this study used a series of separate
manipulation checks to ensure difference in performance could be attributed to the study manipulations.
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Future Research
The results, limitations, and short-falls of this study
highlight particular areas in need of further research.
Mumford, Bedell, et al. (2006) explained that although
leadership styles in the CIP model may did not differ
on overall performance there may be specific difference
at different stages of the creative process model. This
study was able to partially replicate those results in a laboratory setting with subordinates’ creative performance.
However, it is clear that two research directions are
important to better understanding these results and to
ensure that the results can be applied in practical settings.
First, it is necessary to try to replicate the results in
a longitudinal study. Results for pragmatic leaders
were much lower for ratings of quality. These findings
run counter to findings observed in previous studies
(Bedell-Avers et al., 2008; Mumford, 2006; Mumford,
Bedell, et al., 2006). A longitudinal study would help
clarify if pragmatic leaders did not have time to establish themselves with the subordinates or if there really
are differences in subordinate performance on creative
tasks.
Second, it is important to test whether these results
can be replicated in an applied work sample. Much of
the literature that delineates these leadership styles
focuses on the study of historiometric data samples.
Being able to conduct a study in an active organization
would require a reliable and valid scale that could accurately and appropriately categorize leaders as charismatic, ideological, or pragmatic. The weaknesses of
current scales for this type of research were evident in
the manipulation check of perceptions of the leader in
this study.
An additional research area that would be useful to
better understand the relationship between the leader
and their influence on subordinate creative performance
should focus on ratings of quality and originality for
creative performance. In this study, several effects
demonstrated how important it was to have both ratings. However, why some manipulations impacted certain ratings and not others is not clear at this time.
Personality variables, personal needs, the type of leader,
or the type of task are all examples of possible factors in
the facilitation of quality and=or originality. There are
very specific practical implications that may develop
based on the ability to improve quality and originality
on their own or in combination.
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