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SYMPOSIUM CONCLUSION: FUTURE RESEARCH
ON THE DIMENSIONS OF COLLABORATION
JOY A. CLAY
University of Memphis
As the research findings in this symposium
demonstrate, public and nonprofit managers in health and
human service agencies continue to collaborate with
multiple goals in mind. As would be anticipated, the
collaborations described in the symposium generally
addressed service gaps, enhanced services, improved
access, and expanded programs. A common underlying
expectation was that participation in the collaboration
would further an agency’s mission (Goodsell, 2011). As
cautioned by Word in her commentary, however, making
joint decisions and sharing power does not come easy when
agencies also must respond to countervailing pressures that
inherently flow from the agency’s political, social, and
economic contexts.
Overall, the symposium examines levels of
linkages, decision-making, hierarchy, autonomy, shared
administration, governance, outcomes, and more.
Reflecting their various research questions, the authors use
a variety of methods to examine the multiple dimensions of
collaboration. Clearly, the symposium’s researchers are
building on and adding to our knowledge about
cooperation, coordination, and collaboration (Keast,
Brown, & Mandell, 2007; Keast, Mandell, Brown, &
Woolcock, 2004) as well as how to assess the multiple
dimensions of collaboration. The authors effectively used
existing instruments and models to understand
collaboration dimensions but also propose new models and
test metrics/variables.
140 JHHSA SUMMER 2012
RESEARCH DIRECTIONS
The case authors and practitioner commentaries
respectively offer interesting suggestions for potentially
fruitful research directions. In reacting to the symposium,
key research directions appear to have some urgency.
Clearly, an important area of research should include a
fuller examination of collaboration impacts, beyond the
outcomes of a specific collaborative effort to community-
wide issues of equity, diversity, fairness, and
responsiveness. Mayhew’s research draws attention to the
need for more attention to how end users, not just the
collaboration participants, assess the effectiveness of the
collaboration and whether the resulting programming
actually yields innovation and effectiveness. Similarly,
Wrobel comments that assessing additional stakeholders,
especially parents, is needed to assess the impact on the
children and families served by a collaborative. These
researchers convincingly argue that there has been
insufficient attention to measure end user perceptions of
outcomes from collaborations.
Especially relevant to health and human services
sectors, research directed at improving our capacity to
identify specific indicators that pinpoint cultures of
competition vs. collaboration could enable participants and
policymakers to build more effective collaboration
structures and processes. This issue appeared relevant
throughout the symposium. Similarly, concrete measures to
analyze how the diversity of professional cultures and
norms affect collaboration dynamics and structures could
help practitioners be strategic about collaboration practice
and leadership. Very importantly, research attention to how
organizations learn effective collaboration practices could
also be rewarding and insightful and help funders set better
benchmarks for expectations.
JHHSA SUMMER 2012 141
Both practice and theory would benefit from more
researcher attention to the role of local government,
especially counties, in affecting collaboration dynamics,
structures and outcomes, positively and negatively. As
mentioned by Knepper, further examination of the role of
county government in network analysis as well as more
comparative studies of networks would be beneficial.
Sullivan’s rich description of SPARC highlights how the
same program resulted in an enduring collaboration in one
county but not in another nearby county. What indicators
predict the barriers? In his commentary, Mirvis notes many
barriers to county involvement. With counties playing such
an important role in health and human services
collaborations, a better understanding of the counites as
intermediaries, facilitators, and/or participants could be a
productive area of research. Again, more comparative
studies of counties and counties within regions also would
be beneficial to build our knowledge base about
collaboration.
Given the importance of intergovernmental
relationships and the increased role of government or
nonprofit agencies serving as intermediaries, deeper
examination their role(s) on outcomes could help build and
sustain more effective collaboration practice. Although the
Head Start collaboration increased access to funding,
reduced duplication, and served more children, Wrobel
notes that policy constraints made collaboration difficult
for each agency. Consequently, further research into local,
state and federal constraints on collaboration seems
justified. Leslie calls for additional research on state and
federal dynamics, noting that where one is in the system
affects problem definition, accountability demands, and the
building of trust and performance. More insight into these
dynamics would provide very usable insights. Sakran
convincingly argues for more examination of the dynamics
142 JHHSA SUMMER 2012
of merging funding streams and regulatory differences, and
how these dynamics affect interagency collaboration.
NEXT STEPS
The interconnection of government and nonprofit
sectors continues to be important in serving our
communities (Roberts, 2011; Crosby, 2010; Weber, 2009;
Bryer, 2009; Dawes, Cresswell, & Pardo, 2009; Agranoff,
2008; Keast, Brown, & Mandell, 2007; Keast, Mandell,
Brown, & Woolcock, 2004; Minkler & Wallerstein, 2003;
Schulz, Israel, & Lantz, 2004). As noted by Goodsell
(2011), agencies are not acting in silos but seek
collaborative relationships to further their missions, what
he labels as “dispersed public action” (p. 270). However,
questions about the degree and quality of the collaboration
approach remains. For example, does the collaboration
result in more than superficial, instrumental approach to
collaboration? Does the collaboration yield the
programming improvements and enhancements only
minimally expected? Alternatively, does the collaboration
approach yield a shared relationship that drives innovation,
quality, and effectiveness? Does the collaboration
effectively engage the investment of the community, key
stakeholders, and concerned citizens not affiliated in
agencies in ways that sustain their involvement and
commitment? As Lubin and Esty (2010) note, gaining
advantage for organizations caught in an emerging
megatrend requires “leadership, methods, strategy,
management, and reporting” and thus the need to
“transition from tactical, ad hoc, and siloed approaches to
strategic, systematic, and integrated ones” (p. 47). The
pressure to coordinate, partner, and collaborate shows no
sign of diminishing. Consequently, research into how to do
this more strategically and systematically appears justified.
JHHSA SUMMER 2012 143
Although the policy-area literature often uses
qualitative research from case analysis, the sophistication
level of methodology needs to continue to increase as
researchers compare multiple cases to identify patterns or
test frameworks (Welsh, 2004; Agranoff, 2008; Vogel,
Ransom, Wai, & Luisi, 2007; Simo & Bies, 2007; Chen,
2008). Our understanding of the dynamics and multiple
dimensions of collaboration would benefit from more
research that examines large-scale collective impact.
Complaining about the approach that has nonprofits
chasing grants and attempting specifically to measure their
individual influence, Kania and Kramer (2011)
convincingly argue that isolated initiatives will not likely
solve large-scale social problems. Instead, they call for a
more systematic approach to collaboration that supports
and drives social impact from collective action.
The research in the symposium contributes to our
knowledge base as the researchers have focused on
unpacking collaboration and partnering dynamics and the
evolution of these dynamics. This research also describes
the breadth of interests involved in the collaboration, the
goals and priorities that attracted the various agencies to
join together, and the variety of structures that were
designed for the collaboration. The cases and commentaries
also provide insights into factors that may yield successful
or unsuccessful collaborative efforts. Clearly, more
research from a multi-level, multi-dimensional approach
remains to be done.
REFERENCES
Agranoff, R. (2008). Enhancing performance through
public sector networks: Mobilizing human capital in
communities of practice. Public Performance &
Management Review, 31 (1), 320-347.
144 JHHSA SUMMER 2012
Bryer, T. (2009). Explaining responsiveness in
collaboration: Administrator and citizen role
perceptions. Public Administration Review, 69 (2),
271-83.
Chen, B. (2008). Assessing interorganizational networks
for public service delivery: A process-perceived
effectiveness framework. Public Performance &
Management Review, 31 (3), 348-363.
Crosby, B. (2010). Leading in the shared-power world of
2020. Public Administration Review, 70
(Supplement), S69-S77.
Dawes, S., Cresswell, A., & Pardo, T. (2009). From “Need
to Know” to “Need to Share”: Tangled problems,
information boundaries, and the building of public
sector knowledge networks. Public Administration
Review, 69 (3), 392-402.
Goodsell, C. (2011). Mission mystique: Belief systems in
public agencies. Washington, D.C.: CQ Press.
Kania, J., & Kramer, M. (2011). Collective impact.
Stanford Social Innovation Review, 37 (Winter), 36-
41.
Keast, R., Brown, K., & Mandell, M. (2007). Getting the
right mix: Unpacking integration meanings and
strategies. International Public Management
Journal, 10 (1), 9-33.
Keast, R., Mandell, M., Brown, K., & Woolcock, G.
(2004). Network structures: Working differently
and changing expectations. Public Administration
Review, 64 (3), 363-371.
JHHSA SUMMER 2012 145
Minkler, M., & Wallerstein, N. (2003). Community based
participatory research for health. San Francisco:
Jossey-Bass.
Roberts, N. (2011). Beyond smokestacks and silos: Open-
source, web-enabled coordination in organizations
and networks. Public Administration Review,71 (5),
677-693.
Schulz, A., Israel, B., & Lantz, P. (2004). Assessing and
strengthening characteristics of effective groups in
community-based participatory research
partnerships. In C. D. Garvin, L. M. Gutierrez, &
M. J. Galinsky (Eds.), Handbook of Social Work
with Groups (pp. 332-349). New York: Guilford.
Simo, G., & Bies, A. (2007). The role of nonprofits in
disaster response: An expanded model of cross-
sector collaboration. Public Administration Review,
67 (Supplement), 125-142.
Vogel, A., Ransom, P., Wai, S., & Luisi, D. (2007).
Integrating health and social services for older
adults: A case study of interagency collaboration.
Journal of Health and Human Services
Administration, 30 (2), 199-228.
Weber, E. (2009). Explaining institutional change in tough
cases of collaboration: "Ideas" in the Blackfoot
Watershed. Public Administration Review, 69 (2),
314-327.
Welsh, M. (2004). Fast-forward to a participatory norm:
Agency response to public mobilization over oil and
gas leasing in Pennsylvania. State and Local
Government Review, 36 (3), 186-197.
146 JHHSA SUMMER 2012
Joy A. Clay is a professor in the Division of Public and
Nonprofit Administration and Associate Dean for
Interdisciplinary Studies, College of Arts and Sciences at
the University of Memphis. Her research interests include
collaboration and community-based evaluation as well as
maternal and infant health policy.
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REFLECTION PAPER TWO
Reflection Paper #2 ASSIGNMENT
Objective: Understand and apply the concept of meaningful
work using your current job. You may also refer to a past job or
use school if you are currently unemployed.
Chalofsky states that the interplay of self, work and balance are
key to achieving meaningfulness. Reflect on your current job
and answer the following questions.
To what degree are you able to bring your whole self (mind,
body, emotion, spirit) to your work and the workplace? What
constraints, either external or created by you, are there to
bringing any/all of these to the work environment? Consider the
culture of your organization as discussed in your previous
reflection paper. See reflection paper #1 BELOW
What is the emotional labor (Ciulla) required of your job?
What social and personal requirements exist beyond the
economic transaction for which you were hired?
To what degree are you able to exercise autonomy and control
in your work environment and in what ways do you feel
empowered?
Do you exhibit a learning orientation or a performance
orientation and what are the reasons that prompt this
orientation?
How does your job fit into what you consider to be your life’s
purpose?
What practical changes can you make in any of these areas to
achieve more meaning at work and greater life balance?
Instructions:
1. Describe your organization in paragraph format in 1500-2000
words. Answer each bullet point above.
2. Use subheadings. There should be a centered subheading for
each bullet point listed above (e.g. Whole Self, Emotional
Labor, etc.). This helps ensure that you address each required
item and shows me that you covered them all.
3. Format using double-spaced, Times New Roman, 12-point
font.
4. Submit this as a Word document by the due date posted in
your syllabus.
5. Please remember to follow the rules of academic integrity as
every paper is automatically submitted to Turnitin.com when it
is submitted to D2L.
REFLECTION PAPER # 1, Use to relate and continue to new
reflection paper #2
Reflection Report one
The organization relationship to its environment.
I choose to write about a church that I am acquainted with let’s
call it “Shiloh”. Upon first accepting the invitation to become a
member I was greeted with smiles and I believe genuine
politeness. This sentiment was mutual for I felt like an
enormous burden had finally been removed from my back. I felt
free and along with this freedom there was a desire to learn as
much as I could about Jesus. I had a voracious appetite for
anything that would assist in my learning and growing into his
stature. The attraction intensified as I started to get answers to
long dormant uncomfortable questions. Why are you here? What
is your Purpose? What happens when you die? What is life all
for or about? As I read and studied the blinders were removed
and all I saw was light. Light in passages of scripture I have
read before but at that time there was no light. No connection
just an Intellectual ascent. This brings me to our first question.
1, Does the organization perceive itself to be dominate,
submissive, harmonizing, searching out a niche.
I would say do to my experiences that in the United States most
Christian churches seem to be dominate. There is very little
acceptance of other faith into today’s society. Due to many
negative associations and activities from individuals from other
faiths in particular the Muslim faith: As well as a failure on the
part of the Christian community to put their own selfish and
self-interest aside many have put religion aside. So how is it
dominate? Even though a large number of people have turn
away from the faith in practice many still claim to be Christian.
Or worse they claim they can be good of themselves. Not so at
Shiloh. It is a place where the bible is studied. Also you are
welcomed for who you are and not just what you are or have.
Also unlike some that are in the spotlight today advocating the
reemergence of separatism and cast system and also claiming to
be a Christian; Shiloh is all about tearing down walls not
reestablishing them. Therefore If you look at it from the
perspective of Christianity you may say dominate. If you look at
from a more personal perspective I would say Shiloh is filling a
niche and hopefully, and prayerfully a niche that will someday
transform the whole.
The nature of human activity
2, Is the “correct” way for human to behave to be dominate
/pro-active, harmonizing, or passive/fatalistic?
I don’t believe its one size fits all scenario. I believe because
we are human. We were created the highest moral creatures on
the earth, and because we can reason and have the power of
choice we may find ourselves fluctuating between the choices. I
try to be balance in my decision making moving from principle
not just emotions or feelings. This hasn’t always been the case,
it wasn’t until what I discussed earlier that that this mindset
came to be. The world teaches that you have to be the best.
From early childhood games like musical chairs. The music
plays and when it stops everyone must sit down. However there
isn’t enough chairs for everyone. The game continues until you
have two children and one chair. The music stops and you have
one winner and one loser. Why? It’s just a game you may say. I
say look at what it teaches. Look how earlier the self-interest
or survival of the fittest mindset is developed. By my answer I
will say that I’m leaning towards Harmonizing.
The nature of reality and truth
3, How do we define what is true and what is not true: and how
is truth ultimately determined both in the physical and social
world? By pragmatic test, reliance on wisdom, or social
consensus?
A lot of what we determine to be truth has been either proven
by one own personal experience or by another’s. However this
doesn’t mean just because it may be truth to me you will agree
or that it will be truth to you as well. You see the concept of
truth must be defined and agreed upon by all who are looking to
base their beliefs on it. For a long time many thought that the
earth was flat. It was their truth. Was it true? No, someone came
along and proved that the earth was round. Did they accept that
truth? No. My point is that you must have a foundation and we
as individuals as well as society choose what that will be. I
believe truth may be arrived at by test but I also hope that for
some question I would rely on another wisdom or experience so
that I may not have to have a negative experience to verify.
“The stove is hot do not touch”.
The nature of human relationships
6, what is the “correct” way for people to relate to each other.
To distribute power and affection? Is life competitive or
cooperation? Is the best way to organize society on the basis of
individualism or groupism? Is the best authority system
autocratic/paternalistic or collegial/participative?
I believe the biblical model is well suited to answer this
question first “Do unto others as you would have them do unto
you”. When raising my children one needed a whooping and the
others I could look at or talk to and the corrected there
behavior. I’m saying you can’t go wrong with showing and
giving affection when it is warranted. But there will be times
when you must be firm. Hopefully you will lead with affection.
By nature I am very competitive. It hasn’t always serve me
well. I learned that when I feed into my competitive nature I
really don’t care about my opponent. Therefore, I’m trying to
practice to be more cooperative. Think about the big picture or
to put other individuals I care for first.
We are all going to be judged individual so that is my
preference. Even though there can be a lot of good done when
we pull together. History testifies that the majority can and has
led many astray. Not sure on the last part of the question.
Hopefully insight will come as we proceed through the
semester.
Homogeneity vs, Diversity
7, Is this group best off if it is highly diverse or if it is highly
homogeneous, and should individual in a group be encouraged
to innovate or conform?
Oh how I love diversity. I believe the more the merrier.
Different insights viewpoints experiences all go into what we
discussed earlier about truth and human activity. To work
together but at the same time be different is great. It is a goal
that many have tried to achieve and haven’t. I for one will
embrace diversity and encourage its development. Diversity
doesn’t harm the individual it enriches them. If I just had my
own inclinations and thoughts where would I be? Where would
you be if left to yourself? No we need each other and shouldn’t
be threaten by that necessity.
Along with the need of diversity there is the need to be
innovative. Again this shouldn’t be looked at negatively for
without innovation we wouldn’t have many of the scientific
marvels we have today. It may be cliché but “if you can dream
it you can achieve it”.
Leading to Make a Difference: A Field
Experiment on the Performance Effects of
Transformational Leadership, Perceived
Social Impact, and Public Service Motivation
Nicola Bellé
Bocconi University
ABSTRACT
Scholars have recently begun to investigate job design as one of
the contingencies that mod-
erates1 the performance effects of transformational leadership
in public sector organizations.
Drawing on this stream of research, we used a completely
randomized true experimental
research design to explore the potential of two extra-task job
characteristics—beneficiary
contact and self-persuasion interventions—to enhance the
effects of transformational lead-
ership on public employee performance. The participants in our
field experiment were
138 nurses at a public hospital in Italy. Whereas participants
who were exposed to trans-
formational leadership manipulation alone marginally
outperformed a control group, the
performance effects of transformational leadership were much
greater among nurses who
were also exposed to either beneficiary contact or self-
persuasion interventions. Follower
perceptions of pro-social impact partially mediated2 the
positive interaction of transforma-
tional leadership and each of the two job design features on job
performance. Moreover,
the performance effects of transformational leadership and the
interaction effects of trans-
formational leadership and each of the two job design features
were greater among partici-
pants who self-reported higher levels of public service
motivation. The implications of the
experimental findings for public administration research and
theory are discussed.
InTRoDuCTIon
Transformational leadership has often been referenced as one of
the most power-
ful factors motivating purposeful action and high public
employee performance (e.g.,
Paarlberg and Lavigna 2010; Park and Rainey 2008; Trottier,
Van Wart, and Wang
This study is part of a joint research project with the Italian
National School of Public Administration
(Scuola Superiore della Pubblica Amministrazione – SSPA).
Address correspondence to the author at
[email protected]
1 A moderator is a variable that affects the strength or
direction of the relationship between a predictor and
an outcome. In other words, the effect of the predictor on the
outcome depends on the level of the moderator.
2 A mediator is a variable that accounts for all or some of the
observed relationship between a predictor and
an outcome.
JPART 24:109–136
doi:10.1093/jopart/mut033
Advance Access publication June 13, 2013
© The Author 2013. Published by Oxford University Press on
behalf of the Journal of Public Administration Research
and Theory, Inc. All rights reserved. For permissions, please e-
mail: [email protected]
mailto:[email protected]
Journal of Public Administration Research and Theory 110
2008; Wright, Moynihan and Pandey 2012; Wright and Pandey
2010). However,
despite nonexperimental evidence that suggests that
transformational leadership is
positively correlated with follower performance, experimental
and quasi-experimental
studies have shown that transformational leaders are not
unconditionally successful
(Barling, Weber, and Kelloway 1996; Dvir, Eden, Avolio, and
Shamir 2002; Grant
2012; Kirkpatrick and Locke 1996).
Scholars have recently begun to investigate job design as one of
the contingen-
cies that may moderate the performance effects of
transformational leadership (Grant
2012). This study aims to link this highly promising stream of
literature with public
administration research and theory. Using a completely
randomized true experimen-
tal research design, we explored whether, how and under what
contingencies two
job design features—that is, beneficiary contact and self-
persuasion interventions—
enhanced the performance effects of transformational
leadership on a group of nurses
at a public hospital in Italy. In the following sections, we begin
by situating our research
within the relevant literature and illustrating our hypotheses.
We then go on to describe
the experiment that we conducted to test these hypotheses, and
we conclude with a
discussion of our findings and their implications for research
and theory.
THEoRETICAL BACKGRounD AnD RESEARCH QuESTIonS
Transformational Leadership in the Context of Public
Administration
The conventional conceptualization of transformational
leadership encompasses
four behavioral dimensions: inspirational motivation, idealized
influence, intellectual
stimulation and individualized consideration (Bass 1985; Burns
1978). Inspirational
motivation involves articulating a vision of the future that is
appealing and inspiring
to followers. Idealized influence is associated with charismatic
actions and modeling
behavior that causes followers to identify with their leader.
Intellectual stimulation
involves soliciting followers’ ideas and challenging them to
question old assump-
tions and analyze problems from new perspectives. Finally,
individual consideration
entails attending to each follower’s needs through mentoring,
coaching and other
similar activities.
At its core, transformational leadership involves motivating
followers to tran-
scend their immediate self-interest “for the sake of the team,
the organization or
the larger polity” (Shamir, House, and Arthur 1993, 579). As
noted by Wright and
Pandey (2010), this emphasis on the mission may make
transformational leadership
naturally suited to the public sector, whose employees are
inherently required to see
beyond self-interest to the well-being of the larger community.
Wright and Pandey
(2010) note that the mainstream leadership literature is
pessimistic regarding the
potential for transformational leadership behavior in public
organizations compared
to private ones. These negative predictions are based on the fact
that public organi-
zations rely heavily on bureaucratic control systems (Bass and
Riggio 2006; Howell
1997; Pawar and Eastman 1997; Shamir and Howell 1999),
which are expected to
inhibit transformational leadership behaviors (Lowe, Kroeck,
and Sivasubramaniam
1996). However, empirical research has contradicted the
expectations of mainstream
leadership theory in this regard (Dumdum, Lowe, and Avolio
2002). Wright and
Belle Transformational Leadership, Perceived Social Impact,
and Public Service Motivation 111
Pandey (2010) provide two alternative explanations for the
discrepancy between the
theoretical predictions and the empirical evidence: either public
organizations are
not as bureaucratic as is commonly thought (Boyne 2002;
Pandey and Wright 2006;
Wright 2004), or bureaucratic control mechanisms do not inhibit
transformational
leadership behavior.
Performance Effects of Transformational Leadership in Public
Sector organizations
Abundant observational research has shown that
transformational leadership
predicts higher levels of job performance among followers
(e.g., Bass and Riggio
2006; Judge and Piccolo 2004; Jung and Avolio 2000). Public
administration stud-
ies on this topic have generally reached the same conclusion.
For instance, a cross-
sectional empirical study that was conducted using more than
6,900 responses to
the Merit Principles Survey 2000 has shown that federal
employees who perceive
their supervisors as displaying more transformation-oriented
leadership tend to
self-report higher levels of performance and work quality along
with higher job
satisfaction and lower turnover intentions (Park and Rainey
2008). Another cross-
sectional survey of senior managers working in local US
governments has shown
that transformational leadership is positively correlated with
mission valence—
identified as a predictor of higher job satisfaction and work
motivation (Wright
2007)—through the mediators of public goal clarity and public
service motiva-
tion (PSM) (Wright, Pandey, and Moynihan 2012). A different
study based on the
same cross-sectional data (Moynihan, Pandey, and Wright
2012b) concluded that
transformational leaders enhance the use of performance
information by their fol-
lowers—which is “a form of behaviour that is a logical
contributor to both higher
individual and organizational performance” (Moynihan and
Pandey 2010, 859)—
through the mediators of goal clarity and organizational
culture. Employing the
same survey data, Moynihan, Wright, and Pandey (2012) found
that perceptions
of red tape were lower among agency heads who rated their
supervisor, the city
manager, as more transformational and that transformational
leadership altered
perceptions of red tape through the mediators of goal clarity,
political support, and
internal communication.
Despite this nonexperimental evidence suggesting that
transformational lead-
ership is positively correlated with job performance,
experimental studies on this
topic have provided mixed results. Both field experimental work
(Barling, Weber, and
Kelloway 1996; Dvir, Eden, Avolio, and Shamir 2002; Grant
2012) and laboratory
experiments (Kirkpatrick and Locke 1996) have shown
inconsistent evidence of the
effectiveness of transformational leaders in motivating higher
performance among
their followers. To our knowledge, apart from a field
experiment in the Israeli military
(Dvir, Eden, Avolio, and Shamir 2002), no true experimental
work on the perfor-
mance effects of transformational leadership in public sector
organizations has ever
been published. Our study takes a step toward filling this gap by
testing the following
hypothesis using a randomized control group study:
H1 Transformational leadership has a positive effect on public
employee performance.
Journal of Public Administration Research and Theory 112
Influence of Transformational Leadership and Job Design
on the Performance of Public Employees
One possible explanation for the inconclusive results of
previous experimental stud-
ies of the performance effects of transformational leadership is
that transformational
leaders are not unconditionally successful in motivating their
followers. The contrary
has been proposed: that transformational leaders can be
effective only insofar as they
succeed in moving beyond rhetoric and turning their visions
into a tangible reality
(Kirkpatrick and Locke 1996). How can leaders reify their
vision? Research has shown
that an effective method is to heighten their followers’
awareness of making a positive
difference in other people’s lives (Thompson and Bunderson
2003).
At its core, transformational leadership entails motivating
followers to go beyond
their immediate self-interest by linking an inspiring vision to
core values (Shamir, Zakay,
Breinin, and Popper 1998). Research in several disciplines has
shown that doing good for
others is a fundamental human value across cultures,
employment sectors, and typologies
of workers. In particular, cultural psychological research has
demonstrated that benevo-
lence is at the top of the hierarchy of values in many cultures
worldwide (Schwartz and
Bardi 2001). Similarly, three related fields of study that have
blossomed during the last
20 years—that is, pro-social motivation (e.g., Brief and
Motowidlo 1986), PSM (e.g.,
Perry and Wise 1990), and altruism (e.g., Piliavin and Charng
1990)—all emphasize the
centrality of other-regarding motives (Perry, Hondeghem, and
Wise 2010).
If orientation toward the other is a relevant determinant of
organizational
behavior in general (De Dreu 2006; Grant 2007; Meglino and
Korsgaard 2004),
the perception of benefiting others plays an even more relevant
role for workers
who provide public services (Grant 2008a; Perry and Wise
1990). Consequently, for
public leaders who want to make their inspiring messages more
concrete in the eyes
of their followers, emphasizing the pro-social effects of their
vision is particularly
important.
Recent experimental research has shown that beneficiary
contact (Bellé 2013;
Grant 2007; Grant 2008a; Grant et al. 2007) and self-persuasion
interventions (Bellé
2013) may nurture the belief among employees that they make
a positive difference in
other people’s lives. In light of this evidence, we investigated
the moderating effect that
beneficiary contact and self-persuasion interventions may have
on the performance
effects of transformational leadership.
(a) Beneficiary Contact
Relational job design research has shown that giving employees
the opportunity to
meet the individuals who benefit from their efforts can greatly
enhance their motiva-
tion and performance (Bellé 2013; Grant 2008a; Grant et al.
2007) by heightening
their perception of themselves as making a difference in other
people’s lives (Grant
2007). Using quasi-experimental and observational research
designs, Grant (2012) has
recently demonstrated that giving employees the opportunity to
interact with the ben-
eficiaries of their efforts—and thus tangibly illustrating how
the leader’s vision bene-
fits other people—strengthens the performance effects of
transformational leadership.
To corroborate both the external and the internal validity of
these findings, we
tested the following hypothesis adapted from Grant (2012) in a
different country
Belle Transformational Leadership, Perceived Social Impact,
and Public Service Motivation 113
using a different typology of workers and a completely
randomized true experimental
research design.
H2a Beneficiary contact strengthens the effect of
transformational leadership on public
employee performance.
(b) Self-Persuasion
Self-persuasion is an indirect persuasion technique that entails
“placing people in situ-
ations where they are motivated to persuade themselves to
change their own attitudes
or behavior” (Aronson 1999, 875). Research on role-playing has
long demonstrated
the persuasive effect of self-generated arguments: while trying
to convince another
person, individuals may end up convincing themselves in the
process (Janis and King
1954; King and Janis 1956). In a now-classic experiment by
Elms (1966), cigarette
smokers who were assigned the role of nonsmokers trying to
convince a friend to
stop smoking found cigarettes more distasteful than did those
who received the same
information passively.
Wright and Grant (2010) have recently urged public
administration scholars to
examine techniques that have proven effective in inducing self-
persuasion, such as
idea reflection (e.g., Gregory, Cialdini, and Carpenter 1982) and
advocacy (e.g., Gordijn,
Postmes, and de Vries 2001; Miller and Wozniak 2001). In a
recent randomized control
group experiment with nurses working at a public hospital, a
self-persuasion manipula-
tion had a positive effect on the persistence, output,
productivity and vigilance of the
participants (Bellé 2013). In light of this research, we
investigated if putting followers in
situations in which they were compelled to persuade themselves
of the pro-social influ-
ence of the vision of their leaders could strengthen the
performance effects of trans-
formational leadership. We therefore formulated and tested the
following hypothesis:
H2b Self-persuasion interventions strengthen the effect of
transformational leadership on
public employee performance.
Mediating Role of Perceived Pro-Social Impact
Several studies have suggested that nurturing the perception of
task significance
among employees—that is, the employees’ belief that they are
making a positive dif-
ference in other people’s lives—can enhance their motivation
and effort. These studies
identify two possible mediators that may explain the effect of
task significance on job
performance. On the one hand, research that draws from social
information process-
ing theory (Salancik and Pfeffer 1978) and from traditional
models of job design that
are focused on the task structures of jobs (Hackman and
Oldham 1976; Hackman
1980) posits that nurturing employee perceptions of task
significance makes them
experience their jobs as more meaningful (Zalesny and Ford
1990). This perceived
meaningfulness, in turn, can motivate employees to exert more
effort (Fried and Ferris
1987; Parker and Wall 1998).
On the other hand, contemporary research on job design (Grant
2007) focuses
on perceived pro-social impact as mediating the impact of task
significance on job
performance (Grant 2008b). Adopting the latter theoretical
perspective, we expected
Journal of Public Administration Research and Theory 114
that both beneficiary contact and self-persuasion would
strengthen the relationship
between transformational leadership and follower-perceived
positive influence on oth-
ers, which, in turn, would positively affect job performance. To
examine beneficiary
contact, we experimentally tested the following hypothesis
adapted from Grant (2012):
H3a Public employee perceptions of pro-social impact mediate
the moderating effects
of beneficiary contact on the relationship between
transformational leadership and
public employee performance.
For the self-persuasion intervention, we formulated and tested
the following
hypothesis:
H3b Public employee perceptions of pro-social impact mediate
the moderating effect
of self-persuasion interventions on the relationship between
transformational
leadership and public employee performance.
Moderating Role of PSM
During the last two decades, PSM research has thoroughly
investigated the unique-
ness of “motives grounded primarily or uniquely in public
institutions and organiza-
tions” (Perry and Wise 1990, 368). Vandenabeele describes
PSM as “the belief, values
and attitudes that go beyond self-interest and organizational
interest, that concern
the interest of a larger political entity” (2007, 547). This
conceptualization is closely
linked to the construct of transformational leadership, which
entails motivating fol-
lowers “to transcend their own self-interests for the sake of the
team, the organization
or the larger polity” (Shamir, House, and Arthur 1993, 579).
Transformational leadership rests on an assumption regarding
employees that
contradicts agency theory (Moynihan, Pandey, and Wright
2012a; Van Wart 2005)—the
assumption that, in the terms proposed by Le Grand (2006),
individuals are altruistic
“knights.” Whereas transaction-based approaches conflict with
the other-regarding val-
ues of many public employees—and have the potential to turn
“knights” into “knaves”
by crowding out intrinsic or pro-social motivations (Le Grand
2006; Moynihan 2010;
Weibel, Rost, and Osterloh 2010)—transformational leadership
may represent a supe-
rior fit for a workforce with high levels of PSM. This is
particularly the case for public
organizations because their employees tend to be motivated by a
greater desire to
serve others than private sector workers exhibit (e.g., Pandey
and Stazyk 2008; Steijn
2008).
Based on previous theoretical work by Paarlberg and Lavigna
(2010) and the limited
empirical evidence that is available to date (Park and Rainey
2008; Wright, Moynihan,
and Pandey 2012), we expected that transformational leadership
would be more likely
to increase job performance for employees with stronger PSM
than for employees with
weaker PSM. The rationale governing this hypothesis is that
employees with greater
PSM care more about doing work that has a positive impact on
others (Perry and Wise
1990). The inspiring messages that transformational leaders
deliver to motivate their
followers to go beyond their own self-interest convey to
employees with strong PSM
that their jobs have the potential to express and fulfill their
values for the benefit of
others. Literature on needs-supplies fit posits that workers are
more willing to expend
Belle Transformational Leadership, Perceived Social Impact,
and Public Service Motivation 115
the effort that is necessary for them to perform effectively when
their jobs match their
values (Edwards et al. 2006). As a result, we expected that
employees with stronger PSM
would be more likely to improve their job performance in
response to transformational
leadership—alone or enhanced by job design interventions—to
express and fulfill their
aim of helping others. We therefore formulated and tested the
following hypotheses:
H4 Transformational leadership has a greater performance
effect on public employees
with stronger public service motivation.
H5a The positive interaction between transformational
leadership and beneficiary
contact has a greater performance effect on public employees
with stronger public
service motivation.
H5b The positive interaction between transformational
leadership and self-persuasion
interventions has a greater performance effect on public
employees with stronger
public service motivation.
METHoD
Participants and Design
The participants were 138 nurses from a group of public
hospitals belonging to the
same local health authority (LHA) in Italy. The 138 nurses had
been hired by the LHA
during the two previous years and were attending mandatory
training for recent hires.
At the beginning of 2011, the LHA joined an international
cooperation project that
was intended to strengthen the healthcare system in a former
war zone. The LHA was
contributing to the project by collecting surgical tools and drugs
donated by several
organizations (e.g., pharmaceutical companies, other hospitals,
nongovernmental
organizations) and assembling surgical kits that were ready for
shipment to health prac-
titioners operating in the target area. The 138 recent hires were
required to spend four
hours on the project as part of their mandatory training.
Procedures
Participants were randomly assigned to one of six equal-sized
groups of 23 nurses
each: control (group 1), transformational leadership (group 2),
beneficiary contact
(group 3), combined transformational leadership and beneficiary
contact (group 4),
self-persuasion (group 5), and combined transformational
leadership and self-persua-
sion (group 6).3 The six groups attended six separate sessions
that were led by the
Director of Nursing at the LHA and by her assistant. The
Director knew that we were
conducting a research project on the performance effects of
leadership; however, she
was unaware of the specific research hypotheses and
experimental procedures.
3 Grant (2012) used a similar experimental design with
unequal-sized groups ranging from 12 to 26
participants. Power calculations indicated that the size of our
groups was adequate to detect effect sizes similar
to those found in previous studies in this research area (Bellé
2013; Grant 2012) with statistical power greater
than the conventional threshold of .80 at a significance level of
.05 (Murphy and Myors 2004).
Journal of Public Administration Research and Theory 116
Group 1 (Control)
The Director of Nursing and her assistant welcomed the
participants and showed them a
short video that provided basic information about the project’s
aims along with informa-
tion on how to perform the assigned task. This task consisted of
retrieving a list of items
(including surgical tools and pharmaceuticals) from shelves and
boxes, checking shelf-life
labels and verifying product integrity, storing the items inside a
case in a specific order
and putting a label on each completed case with a signature and
the completion time.
Group 2 (Transformational Leadership)
In addition to showing the tutorial video, the Director of
Nursing, who initiated the
project and was its main sponsor, talked for approximately 15
min at our instruction,
explaining why the project was meaningful to her and
communicating her enthusiasm
for the project by telling vivid stories of successful operations
performed thanks to the
surgical kits that had been assembled during the previous
phases. Based on her direct
experience assembling the surgical kits, the Director also gave
the participants some
practical tips and encouraged them to identify ways to improve
the assembly process.
She also urged the participants to contact her directly with any
feedback or to suggest
ideas for improvements.
Group 3 (Beneficiary Contact)
In addition to receiving the same treatment as the control group,
the participants in
the beneficiary contact condition were given the chance to have
a 15-min meeting
with a former patient from the target area, one who had
benefited from the surgical
kits a few years prior after being injured by an antipersonnel
mine. At the time of the
experiment, this person was collaborating with the project staff
by serving as a liaison
with health practitioners operating in the target area thanks to
his fluency in Italian.
The beneficiary explained how surgical tools similar to those
included in the kits had
saved his life.4
Group 4 (Transformational Leadership × Beneficiary Contact)
In addition to receiving the same treatment as the control group,
the participants first
heard the Director’s speech and then received a visit from the
beneficiary. While deliv-
ering her speech, the Director was unaware that participants
would also receive a visit
from a former patient from the target area.
Group 5 (Self-Persuasion)
In addition to receiving the same treatment as the control group,
the nurses in the
self-persuasion condition participated in a 30-min individual
brainstorming session
(e.g., Furnham and Yazdanpanahi 1995) that was designed and
led by a psycholo-
gist who was unaware of the research hypotheses. These
participants were first asked
to write a short essay which they were told would be included in
a presentation that
would be used to campaign for the project. The assignment was
to describe how the
4 Before meeting the experiment participants, the beneficiary
signed an informed consent form that stated
that his participation in the study was voluntary. The consent
form specified that no information identifying
him would be disclosed at any time by the researchers. To
provide his consent, the beneficiary had to check
an opt-in box.
Belle Transformational Leadership, Perceived Social Impact,
and Public Service Motivation 117
participants thought their efforts would make a concrete
difference in the lives of
those who received the kits. The nurses were then invited to
silently generate and write
down a list of arguments and ideas that might convince other
hospitals and phar-
maceutical companies to participate in the project. We designed
this self-persuasion
manipulation following Wright and Grant (2010), who have
suggested asking public
employees to reflect on the importance of their work and then
to explain “why it is
critical for each person to engage in public service” (696).
Group 6 (Transformational Leadership × Self-Persuasion)
In addition to receiving the same treatment as the control group,
the nurses in the
combined transformational leadership and self-persuasion
condition first heard the
Director’s speech and were then asked to do the same things as
the nurses in group
5 to induce the process of idea reflection. While delivering her
speech, the Director
was unaware that participants would also participate in the
individual brainstorming
session.
Except for the Director’s speech, the beneficiary’s visit and the
interventions
intended to induce reflection, the six sessions were identical.
The nurses in the various
sessions had exactly the same net amount of time (i.e., three
hours) to actually perform
the assigned task. The nurses were not assigned any specific
target number of surgical
kits to assemble and were informed that their performance
would not be subject to
evaluation. The participants in all of the groups answered a
pre-experiment question-
naire at the beginning of their session and a postexperiment
questionnaire at the end
of their shift.
Measures
Performance
We measured performance as the number of surgical kits that
each participant cor-
rectly assembled during his or her three-hour shift (Bellé 2013).
This metric was
meant to capture both participant effort (e.g., Blumberg and
Pringle 1982; Gneezy
and Rustichini 2000; Grant 2007, 2008a, 2008b; Schmidt and
Hunter 1983) and the
participants’ ability to maintain attention and accuracy while
performing their jobs
(e.g., Brewer and Brewer 2011).
Whenever possible, we measured variables using multiple-item
scales that had
been tested and validated in previous studies. Appendix 1
reports the items included in
the scales that were employed in our analyses. Unless otherwise
indicated, all items used
7-point Likert-type scales with anchors of 0 (disagree strongly)
and 6 (agree strongly).
Perceived Pro-Social Impact
As a measure of perceived pro-social impact, the
postexperiment questionnaire fea-
tured three items that had been previously tested and validated
by Grant (2008a).
Public Service Motivation
We measured participant PSM using a popular five-item version
of Perry’s (1996)
original scale (Alonso and Lewis 2001; Brewer and Selden
2000; Kim 2005; Pandey,
Journal of Public Administration Research and Theory 118
Wright, and Moynihan 2008; Wright and Pandey 2008; Wright,
Moynihan, and
Pandey 2012; Wright, Christensen, and Pandey forthcoming)
that has recently been
validated as a multi-item unidimensional measure of PSM
(Wright, Christensen, and
Pandey forthcoming). We measured PSM levels as reported by
the participants in the
pre-experiment questionnaire.
Manipulation Checks
The postexperiment questionnaire featured manipulation checks
for transformational
leadership, beneficiary contact and self-persuasion (see
appendix 1).
Controls
In addition to asking questions regarding age, gender and job
experience, we con-
trolled for conscientiousness (Donnellan, Oswald, Baird, and
Lucas 2006) and intrin-
sic motivation (Ryan and Connell 1989).
RESuLTS
We conducted a confirmatory factor analysis using Lisrel 8.80
to construct the latent
variables from their respective questionnaire items and assess
the validity and reli-
ability of the study measures (Jöreskog and Sörbom 2006).5
Appendix 1 reports the
standardized factor loading of each item on its expected latent
variable (λ). Appendix
1 also shows the Cronbach’s alpha (α), the construct reliability
estimate (ρ), and the
average variance extracted (AVE) by each construct.
Standardized loadings ranged
from .64 to .87, and AVE estimates ranged from .62 to .74.
These values indicated
that the individual scale items converged on their respective
latent variables.6 All of
the construct reliability estimates were well above .7, which is
usually accepted as
the threshold for having good construct reliability. The
discriminant validity of the
measures appeared to be high because all construct AVE
estimates were larger than
the corresponding squared interconstruct correlation estimates
(SIC). Inferential χ2
statistics and descriptive goodness-of-fit indices suggested that
all of the scales used
were a reasonable fit for our data (χ2(303) = 284.37, p > .10;
root mean square error of
approximation = .06; comparative fit index = .93; Tucker-Lewis
index = .92).
The six groups did not differ at the .05 level with respect to
participant age, gen-
der, years of experience in nursing, PSM, conscientiousness or
intrinsic motivation
(table 1). To evaluate the effectiveness of the experimental
interventions, we con-
ducted analyses of the manipulation checks reported in table 1.
Participants who had
heard the Director’s speech (groups 2, 4, and 6) rated her as
significantly more trans-
formational (M = 4.98, Standard deviation [SD] = 1.37) than did
those who had not
(M = 3.84, SD = 1.02), p < .05. Nurses who had had the
opportunity to meet the
beneficiary (groups 3 and 4) perceived themselves as having
greater beneficiary con-
tact (M = 5.90, SD = .40) than did those who had not (M = 1.62,
SD = .65), p < .05.
Finally, participants who had participated in the individual
brainstorming session
(groups 5 and 6) reported higher levels of reflection on the
importance and positive
5 Due to the ordinal nature of the data at the item level, we
used weighted least squares estimation.
6 To suggest adequate convergent validity, standardized
loadings estimates should be .5 or higher, and ideally
.7 or higher, and the average variance extracted should be .5 or
higher (Jöreskog and Sörbom 2006).
Belle Transformational Leadership, Perceived Social Impact,
and Public Service Motivation 119
Ta
b
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.
Journal of Public Administration Research and Theory 120
pro-social impact of the project (M = 5.68, SD = .87) than
did those who did not
(M = 2.88, SD = 1.16), p < .05. These results indicate the
validity of our experimental
manipulations.
Table 2 displays the means and SD for the number of surgical
kits assembled
correctly by condition. A series of two sample t-tests
correcting for unequal variance
indicated that all treatment groups but one outperformed the
control group at the .05
level of significance. The only exception was the group that
was exposed to the trans-
formational leadership manipulation alone (group 2), for which
the difference in per-
formance with respect to the control group was only marginally
significant (p = .069).
This result only partially supports hypothesis 1.
A 2 (transformational leadership: yes, no) × 2 (beneficiary
contact: yes, no) fac-
torial analysis of variance (ANOVA) indicated that the
performance effect of trans-
formational leadership was significantly stronger for nurses who
also met a prior
beneficiary of such efforts than it was for nurses who did not
meet the beneficiary
(F(1,88) = 4.63, p = .034). This result provides evidence that
supports hypothesis 2a.
The positive interaction between transformational leadership
and beneficiary contact
and their joint influence on participant performance are
apparent in the divergence
between the two lines in figure 1.
Unlike in a previous quasi-experimental study by Grant (2012),
both transforma-
tional leadership (F(1,88) = 13.59, p < .001) and beneficiary
contact (F(1,88) = 25.49,
p < .001) had a positive main effect7 on participant performance
in this study.
Another 2 (transformational leadership: yes, no) × 2 (self-
persuasion interven-
tion: yes, no) ANOVA showed that the performance effect of
transformational leader-
ship was greater for nurses who also received the self-
persuasion intervention than it
was for their colleagues who did not (F(1,88) = 4.43, p = .038).
This result supports
hypothesis 2b. The positive two-way interaction between the
transformational leader-
ship and self-persuasion conditions is indicated by the
difference in slope between the
two lines in figure 2.
Table 2
Average Number of Surgical Kits Assembled Correctly by
Condition
Group Condition n Mean SD ∆ w.r.t Control
1 Control 23 38.26 8.11 —
2 Transformational leadership (TL) 23 42.91 9.01 4.65*
3 Beneficiary contact (BC) 23 47.04 10.60 8.78***
4 TL × BC 23 64.74 14.20 26.48****
5 Self-persuasion (SP) 23 45.78 10.47 7.52***
6 TL × SP 23 63.43 13.91 25.17****
*p < .10; **p < .05; ***p < .01; ****p < .001.
7 A main effect is the effect of an experimental manipulation
on a dependent variable on average across the
levels of the other conditions being experimentally
manipulated. A simple effect is the effect of an experimental
manipulation on a dependent variable at a single level of the
other conditions being experimentally
manipulated.
Belle Transformational Leadership, Perceived Social Impact,
and Public Service Motivation 121
Both transformational leadership (F(1,88) = 13.04, p = .001)
and self-persuasion
manipulation (F(1,88) = 20.62, p < .001) had positive main
effects on participant
performance.
We tested hypotheses 3a and 3b using a three-step moderated
mediation proce-
dure suggested by Edwards and Lambert (2007). Both
hypotheses posited first-stage
moderation; that is, we expected that both the beneficiary
contact condition and the
self-persuasion intervention would strengthen the relationship
between transforma-
tional leadership and perceived pro-social impact, and in turn,
perceived pro-social
impact would positively affect job performance. For both
interaction effects—that
is, for transformational leadership × beneficiary contact and
transformational lead-
ership × self-persuasion—perceived impact may be considered a
mediator if (1) the
interaction generates an increase in perceived impact, (2) the
interaction significantly
affects job performance when perceived impact is not controlled
for, (3) perceived
impact has a significant, unique effect on job performance, and
(4) the effect of the
interaction on job performance becomes insignificant when
perceived impact is added
to the model (MacKinnon and Dwyer 1993; MacKinnon, Warsi,
and Dwyer 1995;
Preacher and Hayes 2004).
Figure 1
Interaction of Transformational Leadership and Beneficiary
Contact on Job Performance
Journal of Public Administration Research and Theory 122
We began the three-step moderated mediation analysis for the
beneficiary con-
tact condition (hypothesis 3a) by fitting a regression model that
predicts perceived
pro-social impact. The first column of table 3 indicates the
statistically significant
interaction between transformational leadership and beneficiary
contact as predictors
of perceived pro-social impact (p = .025). In step 2, we fitted a
regression model that
would predict the number of surgical kits that the participants
assembled correctly.
Although the interaction between transformational leadership
and beneficiary con-
tact was positive and significant at the .05 level (table 3, middle
column), the interac-
tion was no longer significant once we had added perceived
social impact in step 3
(table 3, right column). Instead, perceived social impact
significantly predicted (p <
.001) the number of surgical kits assembled by the participants
when transformational
leadership, beneficiary contact and their interaction were all
controlled for. We con-
ducted further analyses to investigate whether the decrease in
the coefficient of the
interaction between transformational leadership and beneficiary
contact was signifi-
cant. Sobel-Goodman tests allowed us to confirm the indirect
effect of the interaction
between transformational leadership and beneficiary contact on
performance through
Figure 2
Interaction of Transformational Leadership and Self-Persuasion
on Job Performance
Belle Transformational Leadership, Perceived Social Impact,
and Public Service Motivation 123
Ta
b
le
3
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ed
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o
f
th
e
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te
ra
ct
io
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b
et
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rm
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al
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ry
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al
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:
p
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**
**
n
92
92
92
F
(d
f)
16
.5
1
(3
,
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)
9.
92
(
3,
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2
(4
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)
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ro
b
>
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tr
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al
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Journal of Public Administration Research and Theory 124
the mediator of perceived pro-social impact (p < .001). To
reduce concerns about the
standard error of the indirect effect, we constructed 95% bias-
corrected confidence
intervals around the indirect effect by drawing (with
replacement) 1,000 random sam-
ples from 92 observations from the full sample. The indirect
effect of the interaction
between transformational leadership and beneficiary contact
through the mediator of
perceived social impact was significant at the .05 level because
the 95% bias-corrected
confidence interval (8.66, 18.76) did not include zero (Edwards
and Lambert 2007;
MacKinnon, Fairchild, and Fritz 2007). These results support
hypothesis 3a.
A three-step moderated mediation analysis that we conducted to
test hypothesis
3b (self-persuasion) yielded results that were similar to those
that we obtained for
the beneficiary contact condition. The interaction between
transformational leader-
ship and self-persuasion, which significantly predicts job
performance in the step 2
model (table 4, middle column), becomes insignificant after
perceived social impact
is controlled for in the step 3 model (table 4, right column).
Sobel-Goodman tests
confirmed the indirect effect of the interaction between
transformational leadership
and self-persuasion on performance through the mediator of
perceived social impact
(p < .001), and the 95% bias-corrected confidence interval
(7.85, 17.85) for this indi-
rect effect did not include zero. These results support
hypothesis 3b.
To test hypothesis 4, we investigated whether the performance
effect of transfor-
mational leadership varied across the levels of PSM that
participants self-reported
in the pre-experiment questionnaire. In figure 3, we plotted the
simple slopes at one
SD above (dotted line) and below (solid line) the mean for PSM
(Aiken and West
1991). As indicated by the divergence between the two lines,
the transformational
leadership manipulation positively interacted with the levels of
PSM of the followers
in predicting the number of surgical kits that the participants
correctly assembled
(F(1,42) = 5.61, p = .023). In other words, the performance
effect of transforma-
tional leadership was stronger for participants who had self-
reported higher PSM
levels in the pre-experiment questionnaire. This result provides
evidence in support
of hypothesis 4.
To test hypothesis 5a, we investigated whether the two-way
interaction between
transformational leadership and beneficiary contact varied
across levels of PSM. We
conducted an analysis of covariance (ANCOVA) with two
between-subject factors
(i.e., transformational leadership and beneficiary contact)
predicting the number of
surgical kits assembled correctly by the participants and a
single covariate (mean-
centered PSM score). The ANCOVA showed that the positive
joint influence of ben-
eficiary contact and transformational leadership on job
performance was greater for
participants who had higher self-reported levels of PSM than it
was for nurses who
had reported lower levels of PSM (F(1,84) = 5.71, p = .019).
This result supports
hypothesis 5a. Figure 4 depicts the three-way interaction effect
of transformational
leadership, beneficiary contact and PSM on job performance.
The two lines with hol-
low markers represent participants who reported high PSM (one
SD above the mean),
whereas the two lines with solid symbols represent participants
with low PSM (one
SD below the mean). It can be noted that the divergence
between the two lines—which
indicates a two-way interaction between transformational
leadership and beneficiary
contact—is greater for participants with high PSM than it is for
participants with
low PSM.
Belle Transformational Leadership, Perceived Social Impact,
and Public Service Motivation 125
Ta
b
le
4
.
M
ed
ia
ti
o
n
o
f
th
e
In
te
ra
ct
io
n
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n
92
92
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(d
f)
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(3
,
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)
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27
(
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ro
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00
1.
Journal of Public Administration Research and Theory 126
To test hypothesis 5b, we conducted an analysis of covariance
(ANCOVA) with
two between-subject factors (i.e., transformational leadership
and self-persuasion
interventions) predicting performance and a single covariate
(mean-centered PSM
score). The ANCOVA showed that the positive interaction
effect of the transforma-
tional leadership and self-persuasion conditions on job
performance was greater for
participants who had higher self-reported levels of PSM than it
was for nurses who
had reported lower levels of PSM (F(1,84) = 4.66, p = .034).
Figure 5 depicts the three-
way interaction effect of transformational leadership, self-
persuasion interventions
and PSM on performance. As in the previous case, the two lines
with hollow markers
represent participants who reported higher levels of PSM (one
SD above the mean),
whereas the two lines with solid symbols represent participants
with lower levels of
PSM (one SD below the mean). Again, the divergence between
the two lines—which
indicates the two-way interaction between transformational
leadership and self-per-
suasion—is greater for participants with high PSM than for
participants with low
PSM. This result supports hypothesis 5b.
Figure 3
Interaction of Transformational Leadership and Public Service
Motivation (PSM) on Job
Performance
Belle Transformational Leadership, Perceived Social Impact,
and Public Service Motivation 127
ConCLuSIon
This study advances our understanding of whether
transformational leadership can
boost job performance in public sector organizations and of the
contingencies that
may affect this relationship. In a randomized control group
experiment with nurses
working at a large public hospital in Italy, we found that the
performance effects
of transformational leadership were greatly enhanced by two
job design manipula-
tions—that is, beneficiary contact and self-persuasion
interventions—both of which
were intended to heighten the awareness of the participants that
they were making
a positive difference in other people’s lives. Whereas the group
of nurses who were
exposed to the transformational leadership manipulation alone
marginally outper-
formed the control group, the performance effects of
transformational leadership
were much greater among participants who were also exposed to
one of the two job
design manipulations. The followers’ sense that they were
making a positive difference
in other people’s lives mediated the positive interaction of
transformational leadership
Figure 4
Three-Way Interaction of Transformational Leadership,
Beneficiary Contact, and Public Service
Motivation (PSM) on Job Performance
Journal of Public Administration Research and Theory 128
and of each of the two job design conditions on performance.
Moreover, the perfor-
mance effects and the interaction effects of transformational
leadership and each of
the two job design manipulations were greater among
participants who self-reported
higher levels of PSM.
Theoretical Contributions
The first contribution of this study is the additional empirical
evidence that it has
added to the ongoing debate about the performance effects of
transformational
leadership. Taken together, in the context of public
administration, the results
of our field experiment corroborate previous mainstream
management research
that suggests that leaders can be effective only insofar as they
succeed in making
their messages credible. We identify two specific job design
interventions—that is,
beneficiary contact and self-persuasion interventions—that
public sector leaders
can effectively use to turn their visions into a tangible reality.
Moreover, we
Figure 5
Three-Way Interaction of Transformational Leadership, Self-
Persuasion, and Public Service Motivation
(PSM) on Job Performance
Belle Transformational Leadership, Perceived Social Impact,
and Public Service Motivation 129
illuminate the mechanisms through which these interventions
may enhance the
performance effects of transformational leadership. Our data
provide evidence
that supports our hypotheses of first-stage moderation: both
beneficiary contact
and self-persuasion strengthened the relationship between
transformational lead-
ership and perceived pro-social impact, and in turn, perceived
pro-social impact
positively affected job performance. These results contribute to
a nascent and
highly promising field of study that focuses on job design as
one of the contin-
gencies that may moderate the performance effects of
transformational leader-
ship. Our contribution to this stream of research is two-fold.
First, our findings
corroborate the results of recent empirical work by Grant
(2012) that has dem-
onstrated the interaction between transformational leadership
and beneficiary
contact. Our study achieves this by replicating Grant’s results
using a completely
randomized, true experimental research design in a different
country and a dif-
ferent industry. Second, to our knowledge, our study is the first
to demonstrate
that self-persuasion interventions may play a leadership-
enhancing role similar to
that of beneficiary contact.A second contribution of our
research is the evidence
that it provides about the moderating role of PSM (Perry and
Wise 1990) in the
performance effects of transformational leadership. PSM has
this effect indepen-
dently and when compounded by structural job features that
heighten employees’
perception that they are making a difference in other people’s
lives. To our knowl-
edge, this study has been the first to date that has
experimentally investigated the
relationship between PSM and transformational leadership.
An additional contribution of our research is of a
methodological nature and
lies in the fact that our study is based on a randomized
experiment with real public
employees performing a task that was part of their ordinary
job. Empirical research
in the field of public administration has traditionally relied on
correlational designs,
which are well suited to testing theoretical predictions in a
broad range of popu-
lations but fall short with regard to internal validity (McGrath
1981). Although
not completely immune to limitations (e.g., external threats to
validity, maturation
effects and researcher bias), randomized true experimental
research is best suited
to achieving high levels of internal validity (Shadish, Cook,
and Campbell 2002).
A recent review found only a handful of true experimental
studies published in jour-
nals that are directly associated with the field of public
administration (Brewer and
Brewer 2011). Most of these studies were laboratory
experiments on decision-mak-
ing and used students as surrogates for public sector workers
despite of the mixed
evidence regarding the external validity of this method (e.g.,
Fuchs and Sarstedt
2010; Peterson 2001; Remus 1986, 1989). Our study departs
from previous experi-
mental research in public administration because it was
conducted with real workers
performing a task that was part of their ordinary job. Field
experiments have the
virtue of establishing internal validity while maintaining more
generalizability and
contextual realism than laboratory experiments do, although the
latter have other
virtues stemming from their artificiality (Henshel 1980). To
date, the use of rand-
omized field experimental research is almost unprecedented in
public administration
(Bellé 2013). Our study takes a small step toward filling this
gap, and we hope that
our research design serves as a model for other public
management scholars consid-
ering field experiments.
Journal of Public Administration Research and Theory 130
Limitations and Future Directions
Our findings should be interpreted in light of several
limitations that identify ave-
nues for future research. First and foremost, the use of
temporary and experimentally
induced manipulations of transformational leadership,
beneficiary contact and self-
persuasion does not allow our findings to be generalized to
more enduring, naturally
occurring variations in these conditions. The peculiar
professional nature of nurs-
ing constitutes an additional threat to the generalizability of
our findings from the
nurses who took part in the experiment to other public sector
employees. Regarding
the external validity of our results, we should also note that the
participants were
recent hires, and thus, our findings cannot be generalized to
employees who have been
employed by the organization for a longer period of time.
Future research might tri-
angulate our results using nonexperimental designs such as
longitudinal studies and
case studies. Although they are inferior to experiments in terms
of internal valid-
ity, observational designs may be superior in terms of external
validity because they
examine intact groups and do not disrupt the preexisting
research setting (Dimitrov
and Rumrill 2003).
Regarding construct validity and measurement issues, we should
note that for some
of the study variables, there is no single widely accepted
measure. This was especially
true for PSM, for which several measures have been used in
earlier studies. We opted
for a widely used, five-item version of Perry’s (1996) original
scale that was recently
validated as a multi-item unidimensional measure of PSM
(Wright, Christensen, and
Pandey forthcoming). Future research may test whether our
results are robust to the
use of multidimensional scales (e.g., Kim et al. 2013; Perry
1996) that may provide a
more nuanced understanding of the interplay among
transformational leadership, per-
ceived pro-social impact and individual subdimensions of the
PSM construct.
APPEnDIx 1
Variables and Measurements
Variable (source) Measurements
Performance Number of surgical kits assembled correctly
Age Years of age
Gender 0 = male, 1 = female
Job experience Years of experience in the field of nursing
Likert-type scales (0 = disagree strongly, 6 = agree strongly) λ
Perceived pro-social
impact (grant 2008a)
α = .83; ρ = .87; AVE = .68
− I am very conscious of the positive impact that my work
has on others
.79***
− I am very aware of the ways in which my work is
benefiting others
.81***
− I feel that I can have a positive impact on others through
my work
.88***
Continued
Belle Transformational Leadership, Perceived Social Impact,
and Public Service Motivation 131
Public service
motivation (e.g.
Alonso and Lewis
2001; Brewer and
Selden 2000)
α = .75; ρ = .89; AVE = .64
− Meaningful public service is very important to me .77***
− I am often reminded by daily events about how
dependent we are on one another
.81***
− Making a difference in society means more to me than
personal achievements
.86***
− I am prepared to make enormous sacrifices for the good
of society
.82***
− I am not afraid to go to bat for the rights of others even
if it means I will be ridiculed
.85***
Tranformational
ledership (Avolio,
Bass, and Jung 1999;
Northouse 2009)
α = .89; ρ = .93; AVE = .62
− . . . (inspirational motivation) .78***
− . . . (inspirational motivation) .84***
− . . . (idealized influence) .70***
− . . . (idealized influence) .78***
− . . . (intellectual stimulation) .81***
− . . . (intellectual stimulation) .74***
− . . . (individualized consideration) .85***
− . . . (individualized consideration) .81***
Beneficiary contact
(Grant 2008c)
α = .81; ρ = .85; AVE = .72
− The project gave me the opportunity to meet the people
who benefit from my work
.87***
− The project provided me with contact with the people
who benefit from my work
.85***
Self-persuasion
(Gregory, Cialdini,
and Carpenter 1982;
Gordijn, Postmes and
de Vries 2001)
α = .77; ρ = .82; AVE = .69
− Before performing the task, I carefully reflected on the
ways in which my effort would benefit others
.83***
− Before performing the task, I carefully reflected on why
it is critical for other hospitals and pharmaceutical
companies to join the project
.83***
Conscientiousness
(Donnellan, Oswald,
Baird, and Lucas
2006)
α = .85; ρ = .87; AVE = .62
− I get chores done right away .64***
− I often forget to put things back in their proper place (R)
.80***
− I like order .85***
− I make a mess of things (R) .84***
Intrinsic motivation
(Ryan and Connell
1989)
α = .88; ρ = .83; AVE = .63
− My job is fun .73***
− I find my job engaging .82***
− I enjoy my work .82***
α = cronbach’s alpha; ρ = composite reliability values;
AVE = average variance extracted.
*p < .05, **p < .01, ***p < .001.
APPEnDIx 1 (continued)
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SYMPOSIUM CONCLUSION FUTURE RESEARCH ON THE DIMENSIONS OF.docx

  • 1. SYMPOSIUM CONCLUSION: FUTURE RESEARCH ON THE DIMENSIONS OF COLLABORATION JOY A. CLAY University of Memphis As the research findings in this symposium demonstrate, public and nonprofit managers in health and human service agencies continue to collaborate with multiple goals in mind. As would be anticipated, the collaborations described in the symposium generally addressed service gaps, enhanced services, improved access, and expanded programs. A common underlying expectation was that participation in the collaboration would further an agency’s mission (Goodsell, 2011). As cautioned by Word in her commentary, however, making joint decisions and sharing power does not come easy when
  • 2. agencies also must respond to countervailing pressures that inherently flow from the agency’s political, social, and economic contexts. Overall, the symposium examines levels of linkages, decision-making, hierarchy, autonomy, shared administration, governance, outcomes, and more. Reflecting their various research questions, the authors use a variety of methods to examine the multiple dimensions of collaboration. Clearly, the symposium’s researchers are building on and adding to our knowledge about cooperation, coordination, and collaboration (Keast, Brown, & Mandell, 2007; Keast, Mandell, Brown, & Woolcock, 2004) as well as how to assess the multiple dimensions of collaboration. The authors effectively used existing instruments and models to understand collaboration dimensions but also propose new models and test metrics/variables.
  • 3. 140 JHHSA SUMMER 2012 RESEARCH DIRECTIONS The case authors and practitioner commentaries respectively offer interesting suggestions for potentially fruitful research directions. In reacting to the symposium, key research directions appear to have some urgency. Clearly, an important area of research should include a fuller examination of collaboration impacts, beyond the outcomes of a specific collaborative effort to community- wide issues of equity, diversity, fairness, and responsiveness. Mayhew’s research draws attention to the need for more attention to how end users, not just the collaboration participants, assess the effectiveness of the collaboration and whether the resulting programming actually yields innovation and effectiveness. Similarly, Wrobel comments that assessing additional stakeholders,
  • 4. especially parents, is needed to assess the impact on the children and families served by a collaborative. These researchers convincingly argue that there has been insufficient attention to measure end user perceptions of outcomes from collaborations. Especially relevant to health and human services sectors, research directed at improving our capacity to identify specific indicators that pinpoint cultures of competition vs. collaboration could enable participants and policymakers to build more effective collaboration structures and processes. This issue appeared relevant throughout the symposium. Similarly, concrete measures to analyze how the diversity of professional cultures and norms affect collaboration dynamics and structures could help practitioners be strategic about collaboration practice and leadership. Very importantly, research attention to how organizations learn effective collaboration practices could also be rewarding and insightful and help funders set better
  • 5. benchmarks for expectations. JHHSA SUMMER 2012 141 Both practice and theory would benefit from more researcher attention to the role of local government, especially counties, in affecting collaboration dynamics, structures and outcomes, positively and negatively. As mentioned by Knepper, further examination of the role of county government in network analysis as well as more comparative studies of networks would be beneficial. Sullivan’s rich description of SPARC highlights how the same program resulted in an enduring collaboration in one county but not in another nearby county. What indicators predict the barriers? In his commentary, Mirvis notes many barriers to county involvement. With counties playing such an important role in health and human services collaborations, a better understanding of the counites as intermediaries, facilitators, and/or participants could be a
  • 6. productive area of research. Again, more comparative studies of counties and counties within regions also would be beneficial to build our knowledge base about collaboration. Given the importance of intergovernmental relationships and the increased role of government or nonprofit agencies serving as intermediaries, deeper examination their role(s) on outcomes could help build and sustain more effective collaboration practice. Although the Head Start collaboration increased access to funding, reduced duplication, and served more children, Wrobel notes that policy constraints made collaboration difficult for each agency. Consequently, further research into local, state and federal constraints on collaboration seems justified. Leslie calls for additional research on state and federal dynamics, noting that where one is in the system affects problem definition, accountability demands, and the building of trust and performance. More insight into these
  • 7. dynamics would provide very usable insights. Sakran convincingly argues for more examination of the dynamics 142 JHHSA SUMMER 2012 of merging funding streams and regulatory differences, and how these dynamics affect interagency collaboration. NEXT STEPS The interconnection of government and nonprofit sectors continues to be important in serving our communities (Roberts, 2011; Crosby, 2010; Weber, 2009; Bryer, 2009; Dawes, Cresswell, & Pardo, 2009; Agranoff, 2008; Keast, Brown, & Mandell, 2007; Keast, Mandell, Brown, & Woolcock, 2004; Minkler & Wallerstein, 2003; Schulz, Israel, & Lantz, 2004). As noted by Goodsell (2011), agencies are not acting in silos but seek collaborative relationships to further their missions, what he labels as “dispersed public action” (p. 270). However,
  • 8. questions about the degree and quality of the collaboration approach remains. For example, does the collaboration result in more than superficial, instrumental approach to collaboration? Does the collaboration yield the programming improvements and enhancements only minimally expected? Alternatively, does the collaboration approach yield a shared relationship that drives innovation, quality, and effectiveness? Does the collaboration effectively engage the investment of the community, key stakeholders, and concerned citizens not affiliated in agencies in ways that sustain their involvement and commitment? As Lubin and Esty (2010) note, gaining advantage for organizations caught in an emerging megatrend requires “leadership, methods, strategy, management, and reporting” and thus the need to “transition from tactical, ad hoc, and siloed approaches to strategic, systematic, and integrated ones” (p. 47). The pressure to coordinate, partner, and collaborate shows no
  • 9. sign of diminishing. Consequently, research into how to do this more strategically and systematically appears justified. JHHSA SUMMER 2012 143 Although the policy-area literature often uses qualitative research from case analysis, the sophistication level of methodology needs to continue to increase as researchers compare multiple cases to identify patterns or test frameworks (Welsh, 2004; Agranoff, 2008; Vogel, Ransom, Wai, & Luisi, 2007; Simo & Bies, 2007; Chen, 2008). Our understanding of the dynamics and multiple dimensions of collaboration would benefit from more research that examines large-scale collective impact. Complaining about the approach that has nonprofits chasing grants and attempting specifically to measure their individual influence, Kania and Kramer (2011) convincingly argue that isolated initiatives will not likely solve large-scale social problems. Instead, they call for a
  • 10. more systematic approach to collaboration that supports and drives social impact from collective action. The research in the symposium contributes to our knowledge base as the researchers have focused on unpacking collaboration and partnering dynamics and the evolution of these dynamics. This research also describes the breadth of interests involved in the collaboration, the goals and priorities that attracted the various agencies to join together, and the variety of structures that were designed for the collaboration. The cases and commentaries also provide insights into factors that may yield successful or unsuccessful collaborative efforts. Clearly, more research from a multi-level, multi-dimensional approach remains to be done. REFERENCES Agranoff, R. (2008). Enhancing performance through public sector networks: Mobilizing human capital in
  • 11. communities of practice. Public Performance & Management Review, 31 (1), 320-347. 144 JHHSA SUMMER 2012 Bryer, T. (2009). Explaining responsiveness in collaboration: Administrator and citizen role perceptions. Public Administration Review, 69 (2), 271-83. Chen, B. (2008). Assessing interorganizational networks for public service delivery: A process-perceived effectiveness framework. Public Performance & Management Review, 31 (3), 348-363. Crosby, B. (2010). Leading in the shared-power world of 2020. Public Administration Review, 70 (Supplement), S69-S77. Dawes, S., Cresswell, A., & Pardo, T. (2009). From “Need
  • 12. to Know” to “Need to Share”: Tangled problems, information boundaries, and the building of public sector knowledge networks. Public Administration Review, 69 (3), 392-402. Goodsell, C. (2011). Mission mystique: Belief systems in public agencies. Washington, D.C.: CQ Press. Kania, J., & Kramer, M. (2011). Collective impact. Stanford Social Innovation Review, 37 (Winter), 36- 41. Keast, R., Brown, K., & Mandell, M. (2007). Getting the right mix: Unpacking integration meanings and strategies. International Public Management Journal, 10 (1), 9-33. Keast, R., Mandell, M., Brown, K., & Woolcock, G. (2004). Network structures: Working differently and changing expectations. Public Administration
  • 13. Review, 64 (3), 363-371. JHHSA SUMMER 2012 145 Minkler, M., & Wallerstein, N. (2003). Community based participatory research for health. San Francisco: Jossey-Bass. Roberts, N. (2011). Beyond smokestacks and silos: Open- source, web-enabled coordination in organizations and networks. Public Administration Review,71 (5), 677-693. Schulz, A., Israel, B., & Lantz, P. (2004). Assessing and strengthening characteristics of effective groups in community-based participatory research partnerships. In C. D. Garvin, L. M. Gutierrez, & M. J. Galinsky (Eds.), Handbook of Social Work with Groups (pp. 332-349). New York: Guilford. Simo, G., & Bies, A. (2007). The role of nonprofits in
  • 14. disaster response: An expanded model of cross- sector collaboration. Public Administration Review, 67 (Supplement), 125-142. Vogel, A., Ransom, P., Wai, S., & Luisi, D. (2007). Integrating health and social services for older adults: A case study of interagency collaboration. Journal of Health and Human Services Administration, 30 (2), 199-228. Weber, E. (2009). Explaining institutional change in tough cases of collaboration: "Ideas" in the Blackfoot Watershed. Public Administration Review, 69 (2), 314-327. Welsh, M. (2004). Fast-forward to a participatory norm: Agency response to public mobilization over oil and gas leasing in Pennsylvania. State and Local Government Review, 36 (3), 186-197.
  • 15. 146 JHHSA SUMMER 2012 Joy A. Clay is a professor in the Division of Public and Nonprofit Administration and Associate Dean for Interdisciplinary Studies, College of Arts and Sciences at the University of Memphis. Her research interests include collaboration and community-based evaluation as well as maternal and infant health policy. Copyright of Journal of Health & Human Services Administration is the property of Southern Public Administration Education Foundation and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. REFLECTION PAPER TWO Reflection Paper #2 ASSIGNMENT
  • 16. Objective: Understand and apply the concept of meaningful work using your current job. You may also refer to a past job or use school if you are currently unemployed. Chalofsky states that the interplay of self, work and balance are key to achieving meaningfulness. Reflect on your current job and answer the following questions. To what degree are you able to bring your whole self (mind, body, emotion, spirit) to your work and the workplace? What constraints, either external or created by you, are there to bringing any/all of these to the work environment? Consider the culture of your organization as discussed in your previous reflection paper. See reflection paper #1 BELOW What is the emotional labor (Ciulla) required of your job? What social and personal requirements exist beyond the economic transaction for which you were hired? To what degree are you able to exercise autonomy and control in your work environment and in what ways do you feel empowered? Do you exhibit a learning orientation or a performance orientation and what are the reasons that prompt this orientation? How does your job fit into what you consider to be your life’s purpose? What practical changes can you make in any of these areas to achieve more meaning at work and greater life balance? Instructions: 1. Describe your organization in paragraph format in 1500-2000 words. Answer each bullet point above. 2. Use subheadings. There should be a centered subheading for each bullet point listed above (e.g. Whole Self, Emotional Labor, etc.). This helps ensure that you address each required item and shows me that you covered them all. 3. Format using double-spaced, Times New Roman, 12-point font. 4. Submit this as a Word document by the due date posted in your syllabus.
  • 17. 5. Please remember to follow the rules of academic integrity as every paper is automatically submitted to Turnitin.com when it is submitted to D2L. REFLECTION PAPER # 1, Use to relate and continue to new reflection paper #2 Reflection Report one The organization relationship to its environment. I choose to write about a church that I am acquainted with let’s call it “Shiloh”. Upon first accepting the invitation to become a member I was greeted with smiles and I believe genuine politeness. This sentiment was mutual for I felt like an enormous burden had finally been removed from my back. I felt free and along with this freedom there was a desire to learn as much as I could about Jesus. I had a voracious appetite for anything that would assist in my learning and growing into his stature. The attraction intensified as I started to get answers to long dormant uncomfortable questions. Why are you here? What is your Purpose? What happens when you die? What is life all for or about? As I read and studied the blinders were removed and all I saw was light. Light in passages of scripture I have read before but at that time there was no light. No connection just an Intellectual ascent. This brings me to our first question. 1, Does the organization perceive itself to be dominate, submissive, harmonizing, searching out a niche. I would say do to my experiences that in the United States most Christian churches seem to be dominate. There is very little acceptance of other faith into today’s society. Due to many negative associations and activities from individuals from other faiths in particular the Muslim faith: As well as a failure on the part of the Christian community to put their own selfish and self-interest aside many have put religion aside. So how is it dominate? Even though a large number of people have turn away from the faith in practice many still claim to be Christian. Or worse they claim they can be good of themselves. Not so at
  • 18. Shiloh. It is a place where the bible is studied. Also you are welcomed for who you are and not just what you are or have. Also unlike some that are in the spotlight today advocating the reemergence of separatism and cast system and also claiming to be a Christian; Shiloh is all about tearing down walls not reestablishing them. Therefore If you look at it from the perspective of Christianity you may say dominate. If you look at from a more personal perspective I would say Shiloh is filling a niche and hopefully, and prayerfully a niche that will someday transform the whole. The nature of human activity 2, Is the “correct” way for human to behave to be dominate /pro-active, harmonizing, or passive/fatalistic? I don’t believe its one size fits all scenario. I believe because we are human. We were created the highest moral creatures on the earth, and because we can reason and have the power of choice we may find ourselves fluctuating between the choices. I try to be balance in my decision making moving from principle not just emotions or feelings. This hasn’t always been the case, it wasn’t until what I discussed earlier that that this mindset came to be. The world teaches that you have to be the best. From early childhood games like musical chairs. The music plays and when it stops everyone must sit down. However there isn’t enough chairs for everyone. The game continues until you have two children and one chair. The music stops and you have one winner and one loser. Why? It’s just a game you may say. I say look at what it teaches. Look how earlier the self-interest or survival of the fittest mindset is developed. By my answer I will say that I’m leaning towards Harmonizing. The nature of reality and truth 3, How do we define what is true and what is not true: and how is truth ultimately determined both in the physical and social world? By pragmatic test, reliance on wisdom, or social consensus? A lot of what we determine to be truth has been either proven by one own personal experience or by another’s. However this
  • 19. doesn’t mean just because it may be truth to me you will agree or that it will be truth to you as well. You see the concept of truth must be defined and agreed upon by all who are looking to base their beliefs on it. For a long time many thought that the earth was flat. It was their truth. Was it true? No, someone came along and proved that the earth was round. Did they accept that truth? No. My point is that you must have a foundation and we as individuals as well as society choose what that will be. I believe truth may be arrived at by test but I also hope that for some question I would rely on another wisdom or experience so that I may not have to have a negative experience to verify. “The stove is hot do not touch”. The nature of human relationships 6, what is the “correct” way for people to relate to each other. To distribute power and affection? Is life competitive or cooperation? Is the best way to organize society on the basis of individualism or groupism? Is the best authority system autocratic/paternalistic or collegial/participative? I believe the biblical model is well suited to answer this question first “Do unto others as you would have them do unto you”. When raising my children one needed a whooping and the others I could look at or talk to and the corrected there behavior. I’m saying you can’t go wrong with showing and giving affection when it is warranted. But there will be times when you must be firm. Hopefully you will lead with affection. By nature I am very competitive. It hasn’t always serve me well. I learned that when I feed into my competitive nature I really don’t care about my opponent. Therefore, I’m trying to practice to be more cooperative. Think about the big picture or to put other individuals I care for first. We are all going to be judged individual so that is my preference. Even though there can be a lot of good done when we pull together. History testifies that the majority can and has led many astray. Not sure on the last part of the question. Hopefully insight will come as we proceed through the semester.
  • 20. Homogeneity vs, Diversity 7, Is this group best off if it is highly diverse or if it is highly homogeneous, and should individual in a group be encouraged to innovate or conform? Oh how I love diversity. I believe the more the merrier. Different insights viewpoints experiences all go into what we discussed earlier about truth and human activity. To work together but at the same time be different is great. It is a goal that many have tried to achieve and haven’t. I for one will embrace diversity and encourage its development. Diversity doesn’t harm the individual it enriches them. If I just had my own inclinations and thoughts where would I be? Where would you be if left to yourself? No we need each other and shouldn’t be threaten by that necessity. Along with the need of diversity there is the need to be innovative. Again this shouldn’t be looked at negatively for without innovation we wouldn’t have many of the scientific marvels we have today. It may be cliché but “if you can dream it you can achieve it”. Leading to Make a Difference: A Field Experiment on the Performance Effects of Transformational Leadership, Perceived Social Impact, and Public Service Motivation Nicola Bellé Bocconi University ABSTRACT Scholars have recently begun to investigate job design as one of the contingencies that mod-
  • 21. erates1 the performance effects of transformational leadership in public sector organizations. Drawing on this stream of research, we used a completely randomized true experimental research design to explore the potential of two extra-task job characteristics—beneficiary contact and self-persuasion interventions—to enhance the effects of transformational lead- ership on public employee performance. The participants in our field experiment were 138 nurses at a public hospital in Italy. Whereas participants who were exposed to trans- formational leadership manipulation alone marginally outperformed a control group, the performance effects of transformational leadership were much greater among nurses who were also exposed to either beneficiary contact or self- persuasion interventions. Follower perceptions of pro-social impact partially mediated2 the positive interaction of transforma- tional leadership and each of the two job design features on job performance. Moreover, the performance effects of transformational leadership and the interaction effects of trans- formational leadership and each of the two job design features were greater among partici- pants who self-reported higher levels of public service motivation. The implications of the experimental findings for public administration research and theory are discussed. InTRoDuCTIon Transformational leadership has often been referenced as one of the most power- ful factors motivating purposeful action and high public
  • 22. employee performance (e.g., Paarlberg and Lavigna 2010; Park and Rainey 2008; Trottier, Van Wart, and Wang This study is part of a joint research project with the Italian National School of Public Administration (Scuola Superiore della Pubblica Amministrazione – SSPA). Address correspondence to the author at [email protected] 1 A moderator is a variable that affects the strength or direction of the relationship between a predictor and an outcome. In other words, the effect of the predictor on the outcome depends on the level of the moderator. 2 A mediator is a variable that accounts for all or some of the observed relationship between a predictor and an outcome. JPART 24:109–136 doi:10.1093/jopart/mut033 Advance Access publication June 13, 2013 © The Author 2013. Published by Oxford University Press on behalf of the Journal of Public Administration Research and Theory, Inc. All rights reserved. For permissions, please e- mail: [email protected] mailto:[email protected] Journal of Public Administration Research and Theory 110 2008; Wright, Moynihan and Pandey 2012; Wright and Pandey 2010). However, despite nonexperimental evidence that suggests that transformational leadership is positively correlated with follower performance, experimental
  • 23. and quasi-experimental studies have shown that transformational leaders are not unconditionally successful (Barling, Weber, and Kelloway 1996; Dvir, Eden, Avolio, and Shamir 2002; Grant 2012; Kirkpatrick and Locke 1996). Scholars have recently begun to investigate job design as one of the contingen- cies that may moderate the performance effects of transformational leadership (Grant 2012). This study aims to link this highly promising stream of literature with public administration research and theory. Using a completely randomized true experimen- tal research design, we explored whether, how and under what contingencies two job design features—that is, beneficiary contact and self- persuasion interventions— enhanced the performance effects of transformational leadership on a group of nurses at a public hospital in Italy. In the following sections, we begin by situating our research within the relevant literature and illustrating our hypotheses. We then go on to describe the experiment that we conducted to test these hypotheses, and we conclude with a discussion of our findings and their implications for research and theory. THEoRETICAL BACKGRounD AnD RESEARCH QuESTIonS Transformational Leadership in the Context of Public Administration The conventional conceptualization of transformational
  • 24. leadership encompasses four behavioral dimensions: inspirational motivation, idealized influence, intellectual stimulation and individualized consideration (Bass 1985; Burns 1978). Inspirational motivation involves articulating a vision of the future that is appealing and inspiring to followers. Idealized influence is associated with charismatic actions and modeling behavior that causes followers to identify with their leader. Intellectual stimulation involves soliciting followers’ ideas and challenging them to question old assump- tions and analyze problems from new perspectives. Finally, individual consideration entails attending to each follower’s needs through mentoring, coaching and other similar activities. At its core, transformational leadership involves motivating followers to tran- scend their immediate self-interest “for the sake of the team, the organization or the larger polity” (Shamir, House, and Arthur 1993, 579). As noted by Wright and Pandey (2010), this emphasis on the mission may make transformational leadership naturally suited to the public sector, whose employees are inherently required to see beyond self-interest to the well-being of the larger community. Wright and Pandey (2010) note that the mainstream leadership literature is pessimistic regarding the potential for transformational leadership behavior in public organizations compared to private ones. These negative predictions are based on the fact
  • 25. that public organi- zations rely heavily on bureaucratic control systems (Bass and Riggio 2006; Howell 1997; Pawar and Eastman 1997; Shamir and Howell 1999), which are expected to inhibit transformational leadership behaviors (Lowe, Kroeck, and Sivasubramaniam 1996). However, empirical research has contradicted the expectations of mainstream leadership theory in this regard (Dumdum, Lowe, and Avolio 2002). Wright and Belle Transformational Leadership, Perceived Social Impact, and Public Service Motivation 111 Pandey (2010) provide two alternative explanations for the discrepancy between the theoretical predictions and the empirical evidence: either public organizations are not as bureaucratic as is commonly thought (Boyne 2002; Pandey and Wright 2006; Wright 2004), or bureaucratic control mechanisms do not inhibit transformational leadership behavior. Performance Effects of Transformational Leadership in Public Sector organizations Abundant observational research has shown that transformational leadership predicts higher levels of job performance among followers (e.g., Bass and Riggio 2006; Judge and Piccolo 2004; Jung and Avolio 2000). Public administration stud-
  • 26. ies on this topic have generally reached the same conclusion. For instance, a cross- sectional empirical study that was conducted using more than 6,900 responses to the Merit Principles Survey 2000 has shown that federal employees who perceive their supervisors as displaying more transformation-oriented leadership tend to self-report higher levels of performance and work quality along with higher job satisfaction and lower turnover intentions (Park and Rainey 2008). Another cross- sectional survey of senior managers working in local US governments has shown that transformational leadership is positively correlated with mission valence— identified as a predictor of higher job satisfaction and work motivation (Wright 2007)—through the mediators of public goal clarity and public service motiva- tion (PSM) (Wright, Pandey, and Moynihan 2012). A different study based on the same cross-sectional data (Moynihan, Pandey, and Wright 2012b) concluded that transformational leaders enhance the use of performance information by their fol- lowers—which is “a form of behaviour that is a logical contributor to both higher individual and organizational performance” (Moynihan and Pandey 2010, 859)— through the mediators of goal clarity and organizational culture. Employing the same survey data, Moynihan, Wright, and Pandey (2012) found that perceptions of red tape were lower among agency heads who rated their supervisor, the city
  • 27. manager, as more transformational and that transformational leadership altered perceptions of red tape through the mediators of goal clarity, political support, and internal communication. Despite this nonexperimental evidence suggesting that transformational lead- ership is positively correlated with job performance, experimental studies on this topic have provided mixed results. Both field experimental work (Barling, Weber, and Kelloway 1996; Dvir, Eden, Avolio, and Shamir 2002; Grant 2012) and laboratory experiments (Kirkpatrick and Locke 1996) have shown inconsistent evidence of the effectiveness of transformational leaders in motivating higher performance among their followers. To our knowledge, apart from a field experiment in the Israeli military (Dvir, Eden, Avolio, and Shamir 2002), no true experimental work on the perfor- mance effects of transformational leadership in public sector organizations has ever been published. Our study takes a step toward filling this gap by testing the following hypothesis using a randomized control group study: H1 Transformational leadership has a positive effect on public employee performance. Journal of Public Administration Research and Theory 112 Influence of Transformational Leadership and Job Design
  • 28. on the Performance of Public Employees One possible explanation for the inconclusive results of previous experimental stud- ies of the performance effects of transformational leadership is that transformational leaders are not unconditionally successful in motivating their followers. The contrary has been proposed: that transformational leaders can be effective only insofar as they succeed in moving beyond rhetoric and turning their visions into a tangible reality (Kirkpatrick and Locke 1996). How can leaders reify their vision? Research has shown that an effective method is to heighten their followers’ awareness of making a positive difference in other people’s lives (Thompson and Bunderson 2003). At its core, transformational leadership entails motivating followers to go beyond their immediate self-interest by linking an inspiring vision to core values (Shamir, Zakay, Breinin, and Popper 1998). Research in several disciplines has shown that doing good for others is a fundamental human value across cultures, employment sectors, and typologies of workers. In particular, cultural psychological research has demonstrated that benevo- lence is at the top of the hierarchy of values in many cultures worldwide (Schwartz and Bardi 2001). Similarly, three related fields of study that have blossomed during the last 20 years—that is, pro-social motivation (e.g., Brief and Motowidlo 1986), PSM (e.g., Perry and Wise 1990), and altruism (e.g., Piliavin and Charng
  • 29. 1990)—all emphasize the centrality of other-regarding motives (Perry, Hondeghem, and Wise 2010). If orientation toward the other is a relevant determinant of organizational behavior in general (De Dreu 2006; Grant 2007; Meglino and Korsgaard 2004), the perception of benefiting others plays an even more relevant role for workers who provide public services (Grant 2008a; Perry and Wise 1990). Consequently, for public leaders who want to make their inspiring messages more concrete in the eyes of their followers, emphasizing the pro-social effects of their vision is particularly important. Recent experimental research has shown that beneficiary contact (Bellé 2013; Grant 2007; Grant 2008a; Grant et al. 2007) and self-persuasion interventions (Bellé 2013) may nurture the belief among employees that they make a positive difference in other people’s lives. In light of this evidence, we investigated the moderating effect that beneficiary contact and self-persuasion interventions may have on the performance effects of transformational leadership. (a) Beneficiary Contact Relational job design research has shown that giving employees the opportunity to meet the individuals who benefit from their efforts can greatly enhance their motiva- tion and performance (Bellé 2013; Grant 2008a; Grant et al.
  • 30. 2007) by heightening their perception of themselves as making a difference in other people’s lives (Grant 2007). Using quasi-experimental and observational research designs, Grant (2012) has recently demonstrated that giving employees the opportunity to interact with the ben- eficiaries of their efforts—and thus tangibly illustrating how the leader’s vision bene- fits other people—strengthens the performance effects of transformational leadership. To corroborate both the external and the internal validity of these findings, we tested the following hypothesis adapted from Grant (2012) in a different country Belle Transformational Leadership, Perceived Social Impact, and Public Service Motivation 113 using a different typology of workers and a completely randomized true experimental research design. H2a Beneficiary contact strengthens the effect of transformational leadership on public employee performance. (b) Self-Persuasion Self-persuasion is an indirect persuasion technique that entails “placing people in situ- ations where they are motivated to persuade themselves to change their own attitudes or behavior” (Aronson 1999, 875). Research on role-playing has
  • 31. long demonstrated the persuasive effect of self-generated arguments: while trying to convince another person, individuals may end up convincing themselves in the process (Janis and King 1954; King and Janis 1956). In a now-classic experiment by Elms (1966), cigarette smokers who were assigned the role of nonsmokers trying to convince a friend to stop smoking found cigarettes more distasteful than did those who received the same information passively. Wright and Grant (2010) have recently urged public administration scholars to examine techniques that have proven effective in inducing self- persuasion, such as idea reflection (e.g., Gregory, Cialdini, and Carpenter 1982) and advocacy (e.g., Gordijn, Postmes, and de Vries 2001; Miller and Wozniak 2001). In a recent randomized control group experiment with nurses working at a public hospital, a self-persuasion manipula- tion had a positive effect on the persistence, output, productivity and vigilance of the participants (Bellé 2013). In light of this research, we investigated if putting followers in situations in which they were compelled to persuade themselves of the pro-social influ- ence of the vision of their leaders could strengthen the performance effects of trans- formational leadership. We therefore formulated and tested the following hypothesis: H2b Self-persuasion interventions strengthen the effect of transformational leadership on
  • 32. public employee performance. Mediating Role of Perceived Pro-Social Impact Several studies have suggested that nurturing the perception of task significance among employees—that is, the employees’ belief that they are making a positive dif- ference in other people’s lives—can enhance their motivation and effort. These studies identify two possible mediators that may explain the effect of task significance on job performance. On the one hand, research that draws from social information process- ing theory (Salancik and Pfeffer 1978) and from traditional models of job design that are focused on the task structures of jobs (Hackman and Oldham 1976; Hackman 1980) posits that nurturing employee perceptions of task significance makes them experience their jobs as more meaningful (Zalesny and Ford 1990). This perceived meaningfulness, in turn, can motivate employees to exert more effort (Fried and Ferris 1987; Parker and Wall 1998). On the other hand, contemporary research on job design (Grant 2007) focuses on perceived pro-social impact as mediating the impact of task significance on job performance (Grant 2008b). Adopting the latter theoretical perspective, we expected Journal of Public Administration Research and Theory 114
  • 33. that both beneficiary contact and self-persuasion would strengthen the relationship between transformational leadership and follower-perceived positive influence on oth- ers, which, in turn, would positively affect job performance. To examine beneficiary contact, we experimentally tested the following hypothesis adapted from Grant (2012): H3a Public employee perceptions of pro-social impact mediate the moderating effects of beneficiary contact on the relationship between transformational leadership and public employee performance. For the self-persuasion intervention, we formulated and tested the following hypothesis: H3b Public employee perceptions of pro-social impact mediate the moderating effect of self-persuasion interventions on the relationship between transformational leadership and public employee performance. Moderating Role of PSM During the last two decades, PSM research has thoroughly investigated the unique- ness of “motives grounded primarily or uniquely in public institutions and organiza- tions” (Perry and Wise 1990, 368). Vandenabeele describes PSM as “the belief, values and attitudes that go beyond self-interest and organizational interest, that concern
  • 34. the interest of a larger political entity” (2007, 547). This conceptualization is closely linked to the construct of transformational leadership, which entails motivating fol- lowers “to transcend their own self-interests for the sake of the team, the organization or the larger polity” (Shamir, House, and Arthur 1993, 579). Transformational leadership rests on an assumption regarding employees that contradicts agency theory (Moynihan, Pandey, and Wright 2012a; Van Wart 2005)—the assumption that, in the terms proposed by Le Grand (2006), individuals are altruistic “knights.” Whereas transaction-based approaches conflict with the other-regarding val- ues of many public employees—and have the potential to turn “knights” into “knaves” by crowding out intrinsic or pro-social motivations (Le Grand 2006; Moynihan 2010; Weibel, Rost, and Osterloh 2010)—transformational leadership may represent a supe- rior fit for a workforce with high levels of PSM. This is particularly the case for public organizations because their employees tend to be motivated by a greater desire to serve others than private sector workers exhibit (e.g., Pandey and Stazyk 2008; Steijn 2008). Based on previous theoretical work by Paarlberg and Lavigna (2010) and the limited empirical evidence that is available to date (Park and Rainey 2008; Wright, Moynihan, and Pandey 2012), we expected that transformational leadership would be more likely
  • 35. to increase job performance for employees with stronger PSM than for employees with weaker PSM. The rationale governing this hypothesis is that employees with greater PSM care more about doing work that has a positive impact on others (Perry and Wise 1990). The inspiring messages that transformational leaders deliver to motivate their followers to go beyond their own self-interest convey to employees with strong PSM that their jobs have the potential to express and fulfill their values for the benefit of others. Literature on needs-supplies fit posits that workers are more willing to expend Belle Transformational Leadership, Perceived Social Impact, and Public Service Motivation 115 the effort that is necessary for them to perform effectively when their jobs match their values (Edwards et al. 2006). As a result, we expected that employees with stronger PSM would be more likely to improve their job performance in response to transformational leadership—alone or enhanced by job design interventions—to express and fulfill their aim of helping others. We therefore formulated and tested the following hypotheses: H4 Transformational leadership has a greater performance effect on public employees with stronger public service motivation. H5a The positive interaction between transformational
  • 36. leadership and beneficiary contact has a greater performance effect on public employees with stronger public service motivation. H5b The positive interaction between transformational leadership and self-persuasion interventions has a greater performance effect on public employees with stronger public service motivation. METHoD Participants and Design The participants were 138 nurses from a group of public hospitals belonging to the same local health authority (LHA) in Italy. The 138 nurses had been hired by the LHA during the two previous years and were attending mandatory training for recent hires. At the beginning of 2011, the LHA joined an international cooperation project that was intended to strengthen the healthcare system in a former war zone. The LHA was contributing to the project by collecting surgical tools and drugs donated by several organizations (e.g., pharmaceutical companies, other hospitals, nongovernmental organizations) and assembling surgical kits that were ready for shipment to health prac- titioners operating in the target area. The 138 recent hires were required to spend four hours on the project as part of their mandatory training. Procedures
  • 37. Participants were randomly assigned to one of six equal-sized groups of 23 nurses each: control (group 1), transformational leadership (group 2), beneficiary contact (group 3), combined transformational leadership and beneficiary contact (group 4), self-persuasion (group 5), and combined transformational leadership and self-persua- sion (group 6).3 The six groups attended six separate sessions that were led by the Director of Nursing at the LHA and by her assistant. The Director knew that we were conducting a research project on the performance effects of leadership; however, she was unaware of the specific research hypotheses and experimental procedures. 3 Grant (2012) used a similar experimental design with unequal-sized groups ranging from 12 to 26 participants. Power calculations indicated that the size of our groups was adequate to detect effect sizes similar to those found in previous studies in this research area (Bellé 2013; Grant 2012) with statistical power greater than the conventional threshold of .80 at a significance level of .05 (Murphy and Myors 2004). Journal of Public Administration Research and Theory 116 Group 1 (Control) The Director of Nursing and her assistant welcomed the participants and showed them a short video that provided basic information about the project’s aims along with informa-
  • 38. tion on how to perform the assigned task. This task consisted of retrieving a list of items (including surgical tools and pharmaceuticals) from shelves and boxes, checking shelf-life labels and verifying product integrity, storing the items inside a case in a specific order and putting a label on each completed case with a signature and the completion time. Group 2 (Transformational Leadership) In addition to showing the tutorial video, the Director of Nursing, who initiated the project and was its main sponsor, talked for approximately 15 min at our instruction, explaining why the project was meaningful to her and communicating her enthusiasm for the project by telling vivid stories of successful operations performed thanks to the surgical kits that had been assembled during the previous phases. Based on her direct experience assembling the surgical kits, the Director also gave the participants some practical tips and encouraged them to identify ways to improve the assembly process. She also urged the participants to contact her directly with any feedback or to suggest ideas for improvements. Group 3 (Beneficiary Contact) In addition to receiving the same treatment as the control group, the participants in the beneficiary contact condition were given the chance to have a 15-min meeting with a former patient from the target area, one who had benefited from the surgical kits a few years prior after being injured by an antipersonnel
  • 39. mine. At the time of the experiment, this person was collaborating with the project staff by serving as a liaison with health practitioners operating in the target area thanks to his fluency in Italian. The beneficiary explained how surgical tools similar to those included in the kits had saved his life.4 Group 4 (Transformational Leadership × Beneficiary Contact) In addition to receiving the same treatment as the control group, the participants first heard the Director’s speech and then received a visit from the beneficiary. While deliv- ering her speech, the Director was unaware that participants would also receive a visit from a former patient from the target area. Group 5 (Self-Persuasion) In addition to receiving the same treatment as the control group, the nurses in the self-persuasion condition participated in a 30-min individual brainstorming session (e.g., Furnham and Yazdanpanahi 1995) that was designed and led by a psycholo- gist who was unaware of the research hypotheses. These participants were first asked to write a short essay which they were told would be included in a presentation that would be used to campaign for the project. The assignment was to describe how the 4 Before meeting the experiment participants, the beneficiary signed an informed consent form that stated that his participation in the study was voluntary. The consent form specified that no information identifying
  • 40. him would be disclosed at any time by the researchers. To provide his consent, the beneficiary had to check an opt-in box. Belle Transformational Leadership, Perceived Social Impact, and Public Service Motivation 117 participants thought their efforts would make a concrete difference in the lives of those who received the kits. The nurses were then invited to silently generate and write down a list of arguments and ideas that might convince other hospitals and phar- maceutical companies to participate in the project. We designed this self-persuasion manipulation following Wright and Grant (2010), who have suggested asking public employees to reflect on the importance of their work and then to explain “why it is critical for each person to engage in public service” (696). Group 6 (Transformational Leadership × Self-Persuasion) In addition to receiving the same treatment as the control group, the nurses in the combined transformational leadership and self-persuasion condition first heard the Director’s speech and were then asked to do the same things as the nurses in group 5 to induce the process of idea reflection. While delivering her speech, the Director was unaware that participants would also participate in the individual brainstorming session.
  • 41. Except for the Director’s speech, the beneficiary’s visit and the interventions intended to induce reflection, the six sessions were identical. The nurses in the various sessions had exactly the same net amount of time (i.e., three hours) to actually perform the assigned task. The nurses were not assigned any specific target number of surgical kits to assemble and were informed that their performance would not be subject to evaluation. The participants in all of the groups answered a pre-experiment question- naire at the beginning of their session and a postexperiment questionnaire at the end of their shift. Measures Performance We measured performance as the number of surgical kits that each participant cor- rectly assembled during his or her three-hour shift (Bellé 2013). This metric was meant to capture both participant effort (e.g., Blumberg and Pringle 1982; Gneezy and Rustichini 2000; Grant 2007, 2008a, 2008b; Schmidt and Hunter 1983) and the participants’ ability to maintain attention and accuracy while performing their jobs (e.g., Brewer and Brewer 2011). Whenever possible, we measured variables using multiple-item scales that had been tested and validated in previous studies. Appendix 1 reports the items included in the scales that were employed in our analyses. Unless otherwise
  • 42. indicated, all items used 7-point Likert-type scales with anchors of 0 (disagree strongly) and 6 (agree strongly). Perceived Pro-Social Impact As a measure of perceived pro-social impact, the postexperiment questionnaire fea- tured three items that had been previously tested and validated by Grant (2008a). Public Service Motivation We measured participant PSM using a popular five-item version of Perry’s (1996) original scale (Alonso and Lewis 2001; Brewer and Selden 2000; Kim 2005; Pandey, Journal of Public Administration Research and Theory 118 Wright, and Moynihan 2008; Wright and Pandey 2008; Wright, Moynihan, and Pandey 2012; Wright, Christensen, and Pandey forthcoming) that has recently been validated as a multi-item unidimensional measure of PSM (Wright, Christensen, and Pandey forthcoming). We measured PSM levels as reported by the participants in the pre-experiment questionnaire. Manipulation Checks The postexperiment questionnaire featured manipulation checks for transformational leadership, beneficiary contact and self-persuasion (see appendix 1).
  • 43. Controls In addition to asking questions regarding age, gender and job experience, we con- trolled for conscientiousness (Donnellan, Oswald, Baird, and Lucas 2006) and intrin- sic motivation (Ryan and Connell 1989). RESuLTS We conducted a confirmatory factor analysis using Lisrel 8.80 to construct the latent variables from their respective questionnaire items and assess the validity and reli- ability of the study measures (Jöreskog and Sörbom 2006).5 Appendix 1 reports the standardized factor loading of each item on its expected latent variable (λ). Appendix 1 also shows the Cronbach’s alpha (α), the construct reliability estimate (ρ), and the average variance extracted (AVE) by each construct. Standardized loadings ranged from .64 to .87, and AVE estimates ranged from .62 to .74. These values indicated that the individual scale items converged on their respective latent variables.6 All of the construct reliability estimates were well above .7, which is usually accepted as the threshold for having good construct reliability. The discriminant validity of the measures appeared to be high because all construct AVE estimates were larger than the corresponding squared interconstruct correlation estimates (SIC). Inferential χ2 statistics and descriptive goodness-of-fit indices suggested that all of the scales used were a reasonable fit for our data (χ2(303) = 284.37, p > .10;
  • 44. root mean square error of approximation = .06; comparative fit index = .93; Tucker-Lewis index = .92). The six groups did not differ at the .05 level with respect to participant age, gen- der, years of experience in nursing, PSM, conscientiousness or intrinsic motivation (table 1). To evaluate the effectiveness of the experimental interventions, we con- ducted analyses of the manipulation checks reported in table 1. Participants who had heard the Director’s speech (groups 2, 4, and 6) rated her as significantly more trans- formational (M = 4.98, Standard deviation [SD] = 1.37) than did those who had not (M = 3.84, SD = 1.02), p < .05. Nurses who had had the opportunity to meet the beneficiary (groups 3 and 4) perceived themselves as having greater beneficiary con- tact (M = 5.90, SD = .40) than did those who had not (M = 1.62, SD = .65), p < .05. Finally, participants who had participated in the individual brainstorming session (groups 5 and 6) reported higher levels of reflection on the importance and positive 5 Due to the ordinal nature of the data at the item level, we used weighted least squares estimation. 6 To suggest adequate convergent validity, standardized loadings estimates should be .5 or higher, and ideally .7 or higher, and the average variance extracted should be .5 or higher (Jöreskog and Sörbom 2006).
  • 45. Belle Transformational Leadership, Perceived Social Impact, and Public Service Motivation 119 Ta b le 1 C h ar ac te ri st ic s o f Sa m p le a n d M an
  • 65. as io n . Journal of Public Administration Research and Theory 120 pro-social impact of the project (M = 5.68, SD = .87) than did those who did not (M = 2.88, SD = 1.16), p < .05. These results indicate the validity of our experimental manipulations. Table 2 displays the means and SD for the number of surgical kits assembled correctly by condition. A series of two sample t-tests correcting for unequal variance indicated that all treatment groups but one outperformed the control group at the .05 level of significance. The only exception was the group that was exposed to the trans- formational leadership manipulation alone (group 2), for which the difference in per- formance with respect to the control group was only marginally significant (p = .069). This result only partially supports hypothesis 1. A 2 (transformational leadership: yes, no) × 2 (beneficiary contact: yes, no) fac- torial analysis of variance (ANOVA) indicated that the performance effect of trans- formational leadership was significantly stronger for nurses who
  • 66. also met a prior beneficiary of such efforts than it was for nurses who did not meet the beneficiary (F(1,88) = 4.63, p = .034). This result provides evidence that supports hypothesis 2a. The positive interaction between transformational leadership and beneficiary contact and their joint influence on participant performance are apparent in the divergence between the two lines in figure 1. Unlike in a previous quasi-experimental study by Grant (2012), both transforma- tional leadership (F(1,88) = 13.59, p < .001) and beneficiary contact (F(1,88) = 25.49, p < .001) had a positive main effect7 on participant performance in this study. Another 2 (transformational leadership: yes, no) × 2 (self- persuasion interven- tion: yes, no) ANOVA showed that the performance effect of transformational leader- ship was greater for nurses who also received the self- persuasion intervention than it was for their colleagues who did not (F(1,88) = 4.43, p = .038). This result supports hypothesis 2b. The positive two-way interaction between the transformational leader- ship and self-persuasion conditions is indicated by the difference in slope between the two lines in figure 2. Table 2 Average Number of Surgical Kits Assembled Correctly by Condition
  • 67. Group Condition n Mean SD ∆ w.r.t Control 1 Control 23 38.26 8.11 — 2 Transformational leadership (TL) 23 42.91 9.01 4.65* 3 Beneficiary contact (BC) 23 47.04 10.60 8.78*** 4 TL × BC 23 64.74 14.20 26.48**** 5 Self-persuasion (SP) 23 45.78 10.47 7.52*** 6 TL × SP 23 63.43 13.91 25.17**** *p < .10; **p < .05; ***p < .01; ****p < .001. 7 A main effect is the effect of an experimental manipulation on a dependent variable on average across the levels of the other conditions being experimentally manipulated. A simple effect is the effect of an experimental manipulation on a dependent variable at a single level of the other conditions being experimentally manipulated. Belle Transformational Leadership, Perceived Social Impact, and Public Service Motivation 121 Both transformational leadership (F(1,88) = 13.04, p = .001) and self-persuasion manipulation (F(1,88) = 20.62, p < .001) had positive main effects on participant performance. We tested hypotheses 3a and 3b using a three-step moderated mediation proce- dure suggested by Edwards and Lambert (2007). Both hypotheses posited first-stage moderation; that is, we expected that both the beneficiary contact condition and the self-persuasion intervention would strengthen the relationship
  • 68. between transforma- tional leadership and perceived pro-social impact, and in turn, perceived pro-social impact would positively affect job performance. For both interaction effects—that is, for transformational leadership × beneficiary contact and transformational lead- ership × self-persuasion—perceived impact may be considered a mediator if (1) the interaction generates an increase in perceived impact, (2) the interaction significantly affects job performance when perceived impact is not controlled for, (3) perceived impact has a significant, unique effect on job performance, and (4) the effect of the interaction on job performance becomes insignificant when perceived impact is added to the model (MacKinnon and Dwyer 1993; MacKinnon, Warsi, and Dwyer 1995; Preacher and Hayes 2004). Figure 1 Interaction of Transformational Leadership and Beneficiary Contact on Job Performance Journal of Public Administration Research and Theory 122 We began the three-step moderated mediation analysis for the beneficiary con- tact condition (hypothesis 3a) by fitting a regression model that predicts perceived pro-social impact. The first column of table 3 indicates the statistically significant interaction between transformational leadership and beneficiary
  • 69. contact as predictors of perceived pro-social impact (p = .025). In step 2, we fitted a regression model that would predict the number of surgical kits that the participants assembled correctly. Although the interaction between transformational leadership and beneficiary con- tact was positive and significant at the .05 level (table 3, middle column), the interac- tion was no longer significant once we had added perceived social impact in step 3 (table 3, right column). Instead, perceived social impact significantly predicted (p < .001) the number of surgical kits assembled by the participants when transformational leadership, beneficiary contact and their interaction were all controlled for. We con- ducted further analyses to investigate whether the decrease in the coefficient of the interaction between transformational leadership and beneficiary contact was signifi- cant. Sobel-Goodman tests allowed us to confirm the indirect effect of the interaction between transformational leadership and beneficiary contact on performance through Figure 2 Interaction of Transformational Leadership and Self-Persuasion on Job Performance Belle Transformational Leadership, Perceived Social Impact, and Public Service Motivation 123 Ta
  • 88. 05 ; ** *p < . 01 ; ** ** p < . 00 1. Journal of Public Administration Research and Theory 124 the mediator of perceived pro-social impact (p < .001). To reduce concerns about the standard error of the indirect effect, we constructed 95% bias- corrected confidence intervals around the indirect effect by drawing (with replacement) 1,000 random sam- ples from 92 observations from the full sample. The indirect effect of the interaction
  • 89. between transformational leadership and beneficiary contact through the mediator of perceived social impact was significant at the .05 level because the 95% bias-corrected confidence interval (8.66, 18.76) did not include zero (Edwards and Lambert 2007; MacKinnon, Fairchild, and Fritz 2007). These results support hypothesis 3a. A three-step moderated mediation analysis that we conducted to test hypothesis 3b (self-persuasion) yielded results that were similar to those that we obtained for the beneficiary contact condition. The interaction between transformational leader- ship and self-persuasion, which significantly predicts job performance in the step 2 model (table 4, middle column), becomes insignificant after perceived social impact is controlled for in the step 3 model (table 4, right column). Sobel-Goodman tests confirmed the indirect effect of the interaction between transformational leadership and self-persuasion on performance through the mediator of perceived social impact (p < .001), and the 95% bias-corrected confidence interval (7.85, 17.85) for this indi- rect effect did not include zero. These results support hypothesis 3b. To test hypothesis 4, we investigated whether the performance effect of transfor- mational leadership varied across the levels of PSM that participants self-reported in the pre-experiment questionnaire. In figure 3, we plotted the simple slopes at one
  • 90. SD above (dotted line) and below (solid line) the mean for PSM (Aiken and West 1991). As indicated by the divergence between the two lines, the transformational leadership manipulation positively interacted with the levels of PSM of the followers in predicting the number of surgical kits that the participants correctly assembled (F(1,42) = 5.61, p = .023). In other words, the performance effect of transforma- tional leadership was stronger for participants who had self- reported higher PSM levels in the pre-experiment questionnaire. This result provides evidence in support of hypothesis 4. To test hypothesis 5a, we investigated whether the two-way interaction between transformational leadership and beneficiary contact varied across levels of PSM. We conducted an analysis of covariance (ANCOVA) with two between-subject factors (i.e., transformational leadership and beneficiary contact) predicting the number of surgical kits assembled correctly by the participants and a single covariate (mean- centered PSM score). The ANCOVA showed that the positive joint influence of ben- eficiary contact and transformational leadership on job performance was greater for participants who had higher self-reported levels of PSM than it was for nurses who had reported lower levels of PSM (F(1,84) = 5.71, p = .019). This result supports hypothesis 5a. Figure 4 depicts the three-way interaction effect of transformational
  • 91. leadership, beneficiary contact and PSM on job performance. The two lines with hol- low markers represent participants who reported high PSM (one SD above the mean), whereas the two lines with solid symbols represent participants with low PSM (one SD below the mean). It can be noted that the divergence between the two lines—which indicates a two-way interaction between transformational leadership and beneficiary contact—is greater for participants with high PSM than it is for participants with low PSM. Belle Transformational Leadership, Perceived Social Impact, and Public Service Motivation 125 Ta b le 4 . M ed ia ti o n o
  • 110. < . 00 1. Journal of Public Administration Research and Theory 126 To test hypothesis 5b, we conducted an analysis of covariance (ANCOVA) with two between-subject factors (i.e., transformational leadership and self-persuasion interventions) predicting performance and a single covariate (mean-centered PSM score). The ANCOVA showed that the positive interaction effect of the transforma- tional leadership and self-persuasion conditions on job performance was greater for participants who had higher self-reported levels of PSM than it was for nurses who had reported lower levels of PSM (F(1,84) = 4.66, p = .034). Figure 5 depicts the three- way interaction effect of transformational leadership, self- persuasion interventions and PSM on performance. As in the previous case, the two lines with hollow markers represent participants who reported higher levels of PSM (one SD above the mean), whereas the two lines with solid symbols represent participants with lower levels of PSM (one SD below the mean). Again, the divergence between the two lines—which indicates the two-way interaction between transformational
  • 111. leadership and self-per- suasion—is greater for participants with high PSM than for participants with low PSM. This result supports hypothesis 5b. Figure 3 Interaction of Transformational Leadership and Public Service Motivation (PSM) on Job Performance Belle Transformational Leadership, Perceived Social Impact, and Public Service Motivation 127 ConCLuSIon This study advances our understanding of whether transformational leadership can boost job performance in public sector organizations and of the contingencies that may affect this relationship. In a randomized control group experiment with nurses working at a large public hospital in Italy, we found that the performance effects of transformational leadership were greatly enhanced by two job design manipula- tions—that is, beneficiary contact and self-persuasion interventions—both of which were intended to heighten the awareness of the participants that they were making a positive difference in other people’s lives. Whereas the group of nurses who were exposed to the transformational leadership manipulation alone marginally outper- formed the control group, the performance effects of
  • 112. transformational leadership were much greater among participants who were also exposed to one of the two job design manipulations. The followers’ sense that they were making a positive difference in other people’s lives mediated the positive interaction of transformational leadership Figure 4 Three-Way Interaction of Transformational Leadership, Beneficiary Contact, and Public Service Motivation (PSM) on Job Performance Journal of Public Administration Research and Theory 128 and of each of the two job design conditions on performance. Moreover, the perfor- mance effects and the interaction effects of transformational leadership and each of the two job design manipulations were greater among participants who self-reported higher levels of PSM. Theoretical Contributions The first contribution of this study is the additional empirical evidence that it has added to the ongoing debate about the performance effects of transformational leadership. Taken together, in the context of public administration, the results of our field experiment corroborate previous mainstream management research that suggests that leaders can be effective only insofar as they
  • 113. succeed in making their messages credible. We identify two specific job design interventions—that is, beneficiary contact and self-persuasion interventions—that public sector leaders can effectively use to turn their visions into a tangible reality. Moreover, we Figure 5 Three-Way Interaction of Transformational Leadership, Self- Persuasion, and Public Service Motivation (PSM) on Job Performance Belle Transformational Leadership, Perceived Social Impact, and Public Service Motivation 129 illuminate the mechanisms through which these interventions may enhance the performance effects of transformational leadership. Our data provide evidence that supports our hypotheses of first-stage moderation: both beneficiary contact and self-persuasion strengthened the relationship between transformational lead- ership and perceived pro-social impact, and in turn, perceived pro-social impact positively affected job performance. These results contribute to a nascent and highly promising field of study that focuses on job design as one of the contin- gencies that may moderate the performance effects of transformational leader- ship. Our contribution to this stream of research is two-fold. First, our findings
  • 114. corroborate the results of recent empirical work by Grant (2012) that has dem- onstrated the interaction between transformational leadership and beneficiary contact. Our study achieves this by replicating Grant’s results using a completely randomized, true experimental research design in a different country and a dif- ferent industry. Second, to our knowledge, our study is the first to demonstrate that self-persuasion interventions may play a leadership- enhancing role similar to that of beneficiary contact.A second contribution of our research is the evidence that it provides about the moderating role of PSM (Perry and Wise 1990) in the performance effects of transformational leadership. PSM has this effect indepen- dently and when compounded by structural job features that heighten employees’ perception that they are making a difference in other people’s lives. To our knowl- edge, this study has been the first to date that has experimentally investigated the relationship between PSM and transformational leadership. An additional contribution of our research is of a methodological nature and lies in the fact that our study is based on a randomized experiment with real public employees performing a task that was part of their ordinary job. Empirical research in the field of public administration has traditionally relied on correlational designs, which are well suited to testing theoretical predictions in a broad range of popu-
  • 115. lations but fall short with regard to internal validity (McGrath 1981). Although not completely immune to limitations (e.g., external threats to validity, maturation effects and researcher bias), randomized true experimental research is best suited to achieving high levels of internal validity (Shadish, Cook, and Campbell 2002). A recent review found only a handful of true experimental studies published in jour- nals that are directly associated with the field of public administration (Brewer and Brewer 2011). Most of these studies were laboratory experiments on decision-mak- ing and used students as surrogates for public sector workers despite of the mixed evidence regarding the external validity of this method (e.g., Fuchs and Sarstedt 2010; Peterson 2001; Remus 1986, 1989). Our study departs from previous experi- mental research in public administration because it was conducted with real workers performing a task that was part of their ordinary job. Field experiments have the virtue of establishing internal validity while maintaining more generalizability and contextual realism than laboratory experiments do, although the latter have other virtues stemming from their artificiality (Henshel 1980). To date, the use of rand- omized field experimental research is almost unprecedented in public administration (Bellé 2013). Our study takes a small step toward filling this gap, and we hope that our research design serves as a model for other public management scholars consid-
  • 116. ering field experiments. Journal of Public Administration Research and Theory 130 Limitations and Future Directions Our findings should be interpreted in light of several limitations that identify ave- nues for future research. First and foremost, the use of temporary and experimentally induced manipulations of transformational leadership, beneficiary contact and self- persuasion does not allow our findings to be generalized to more enduring, naturally occurring variations in these conditions. The peculiar professional nature of nurs- ing constitutes an additional threat to the generalizability of our findings from the nurses who took part in the experiment to other public sector employees. Regarding the external validity of our results, we should also note that the participants were recent hires, and thus, our findings cannot be generalized to employees who have been employed by the organization for a longer period of time. Future research might tri- angulate our results using nonexperimental designs such as longitudinal studies and case studies. Although they are inferior to experiments in terms of internal valid- ity, observational designs may be superior in terms of external validity because they examine intact groups and do not disrupt the preexisting research setting (Dimitrov
  • 117. and Rumrill 2003). Regarding construct validity and measurement issues, we should note that for some of the study variables, there is no single widely accepted measure. This was especially true for PSM, for which several measures have been used in earlier studies. We opted for a widely used, five-item version of Perry’s (1996) original scale that was recently validated as a multi-item unidimensional measure of PSM (Wright, Christensen, and Pandey forthcoming). Future research may test whether our results are robust to the use of multidimensional scales (e.g., Kim et al. 2013; Perry 1996) that may provide a more nuanced understanding of the interplay among transformational leadership, per- ceived pro-social impact and individual subdimensions of the PSM construct. APPEnDIx 1 Variables and Measurements Variable (source) Measurements Performance Number of surgical kits assembled correctly Age Years of age Gender 0 = male, 1 = female Job experience Years of experience in the field of nursing Likert-type scales (0 = disagree strongly, 6 = agree strongly) λ Perceived pro-social impact (grant 2008a) α = .83; ρ = .87; AVE = .68
  • 118. − I am very conscious of the positive impact that my work has on others .79*** − I am very aware of the ways in which my work is benefiting others .81*** − I feel that I can have a positive impact on others through my work .88*** Continued Belle Transformational Leadership, Perceived Social Impact, and Public Service Motivation 131 Public service motivation (e.g. Alonso and Lewis 2001; Brewer and Selden 2000) α = .75; ρ = .89; AVE = .64 − Meaningful public service is very important to me .77*** − I am often reminded by daily events about how dependent we are on one another .81*** − Making a difference in society means more to me than
  • 119. personal achievements .86*** − I am prepared to make enormous sacrifices for the good of society .82*** − I am not afraid to go to bat for the rights of others even if it means I will be ridiculed .85*** Tranformational ledership (Avolio, Bass, and Jung 1999; Northouse 2009) α = .89; ρ = .93; AVE = .62 − . . . (inspirational motivation) .78*** − . . . (inspirational motivation) .84*** − . . . (idealized influence) .70*** − . . . (idealized influence) .78*** − . . . (intellectual stimulation) .81*** − . . . (intellectual stimulation) .74*** − . . . (individualized consideration) .85*** − . . . (individualized consideration) .81*** Beneficiary contact (Grant 2008c) α = .81; ρ = .85; AVE = .72 − The project gave me the opportunity to meet the people who benefit from my work
  • 120. .87*** − The project provided me with contact with the people who benefit from my work .85*** Self-persuasion (Gregory, Cialdini, and Carpenter 1982; Gordijn, Postmes and de Vries 2001) α = .77; ρ = .82; AVE = .69 − Before performing the task, I carefully reflected on the ways in which my effort would benefit others .83*** − Before performing the task, I carefully reflected on why it is critical for other hospitals and pharmaceutical companies to join the project .83*** Conscientiousness (Donnellan, Oswald, Baird, and Lucas 2006) α = .85; ρ = .87; AVE = .62 − I get chores done right away .64*** − I often forget to put things back in their proper place (R) .80*** − I like order .85*** − I make a mess of things (R) .84***
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