Measuring Reputational Signals Regarding Public Sector Professions: Validation of a Scale and a Research Agenda
| Published date | 01 November 2024 |
| DOI | http://doi.org/10.1177/02750740241261070 |
| Author | Gordon Abner,James L. Perry,Sun Young Kim |
| Date | 01 November 2024 |
Measuring Reputational Signals Regarding
Public Sector Professions: Validation
of a Scale and a Research Agenda
Gordon Abner
1
, James L. Perry
2
and Sun Young Kim
3
Abstract
Public administration scholars are devoting increasing attention to the concept of reputation. The emphasis reflects a long-
standing concern in the field with the sources of power and influence on administrative processes. This study extends the inves-
tigation of reputation from organizational reputation to reputational signals regarding public sector professions. We begin with a
definition of reputational signals. We then develop a survey instrument that measures reputational signals from two signalers:
elected officials and people close to respondents. Results are presented for internal consistency, exploratory and confirmatory
factor analyses, convergent and discriminant validity, and averagevariance extracted. Next, we conduct a path analysis to test the
effects of reputational signals regarding public school teachers on two outcomes using two staggered survey instruments with
588 US adults. We find that reputational signals from both types of signalers are positively and significantly associated with the
perceived prestige of the teaching profession. Furthermore, reputational signals from people close to respondents are directly
and positively associated with support for teacher autonomy. In contrast, reputational signals fromelected officials do not have a
statistically significant association with support for teacher autonomy. We conclude by discussing avenues for future research.
Keywords
organizational reputation, professionalism, bureaucratic reputation, education, public sector stereotypes
Bureaucratic reputation has garnered increasing attention in
public administration recently (Carpenter, 2010; Carpenter
& Krause, 2012; Busuioc & Rimkutė, 2020; Bertelli &
Busuioc, 2021), but the concept is rooted in the field’s
distant past. Although Norton Long (1949) did not use the
term reputation, there is little doubt that the “administrative
rationality”long associated with “the power to act”was
grounded in reputation. Like Long’s focus in his seminal
essay, the unit of analysis in recent research about reputation
is agencies and programs, exemplified by research focusing
on the power of the U.S. Food and Drug Administration
(Carpenter, 2010) and the European Union’s regulatory
state (Busuioc & Rimkutė, 2020).
A line of researchthat predates both Norton Longand more
recent attention to reputation is Leonard White’s research on
the “prestige value”of public employment (White, 1929).
White, the founding editor of Public Administration Review
and John Gaus were early champions for publicsector profes-
sions. Gaus (1936) argued that the responsibility of the public
administrator was firmly grounded in the “attitude of the civil
servant as an individual toward his work and his profession”
(p. 43). Even the concept of “neutral competence”
(Kaufman, 1956), which dates to the Progressive movement
that gave rise to public sector professions, among them city
managers and social workers, has roots in sustaining the repu-
tation of public sector professionals.
Overall, the study of reputation has focused on the reputa-
tion of public agencies, not reputational signals regarding
public sector professions. Thus, relatively little attention
has been devoted to understanding whether criticisms and
praise of public sector professions from signalers affect
support for public employees, influence public employees’
behavior and attitudes, or whether reputational signals
relate to organizational or bureaucratic reputation. Public
employees are sensitive to signalers’diverse assessments of
their work and have incentives to protect their reputations
and avoid any reputational damage (Abner et al., 2020).
The way that signalers view public employees matters
because reputation can provide them with a “protective
shield”against antagonistic criticisms from external signalers
(Carpenter & Krause, 2012).
1
LBJ School of Public Affairs, University of Texas at Austin, Austin, TX, USA
2
School of Public and Environmental Affairs, Indiana University,
Bloomington, IN, USA
3
Department of Public Administration, Hankuk University of Foreign
Studies, Dongdaemun-gu, Korea
Corresponding Author:
Gordon Abner, LBJ School of Public Affairs, University of Texas at Austin,
Austin, TX 78712, USA.
Email: gordon.abner@austin.utexas.edu
Article
The American Review of Public Administration
2024, Vol. 54(8) 717–731
© The Author(s) 2024
Article reuse guidelines:
sagepub.com/journals-permissions
DOI: 10.1177/02750740241261070
journals.sagepub.com/home/arp
Get this document and AI-powered insights with a free trial of vLex and Vincent AI
Get Started for FreeStart Your Free Trial of vLex and Vincent AI, Your Precision-Engineered Legal Assistant
-
Access comprehensive legal content with no limitations across vLex's unparalleled global legal database
-
Build stronger arguments with verified citations and CERT citator that tracks case history and precedential strength
-
Transform your legal research from hours to minutes with Vincent AI's intelligent search and analysis capabilities
-
Elevate your practice by focusing your expertise where it matters most while Vincent handles the heavy lifting
Start Your Free Trial of vLex and Vincent AI, Your Precision-Engineered Legal Assistant
-
Access comprehensive legal content with no limitations across vLex's unparalleled global legal database
-
Build stronger arguments with verified citations and CERT citator that tracks case history and precedential strength
-
Transform your legal research from hours to minutes with Vincent AI's intelligent search and analysis capabilities
-
Elevate your practice by focusing your expertise where it matters most while Vincent handles the heavy lifting
Start Your Free Trial of vLex and Vincent AI, Your Precision-Engineered Legal Assistant
-
Access comprehensive legal content with no limitations across vLex's unparalleled global legal database
-
Build stronger arguments with verified citations and CERT citator that tracks case history and precedential strength
-
Transform your legal research from hours to minutes with Vincent AI's intelligent search and analysis capabilities
-
Elevate your practice by focusing your expertise where it matters most while Vincent handles the heavy lifting
Start Your Free Trial of vLex and Vincent AI, Your Precision-Engineered Legal Assistant
-
Access comprehensive legal content with no limitations across vLex's unparalleled global legal database
-
Build stronger arguments with verified citations and CERT citator that tracks case history and precedential strength
-
Transform your legal research from hours to minutes with Vincent AI's intelligent search and analysis capabilities
-
Elevate your practice by focusing your expertise where it matters most while Vincent handles the heavy lifting
Start Your Free Trial of vLex and Vincent AI, Your Precision-Engineered Legal Assistant
-
Access comprehensive legal content with no limitations across vLex's unparalleled global legal database
-
Build stronger arguments with verified citations and CERT citator that tracks case history and precedential strength
-
Transform your legal research from hours to minutes with Vincent AI's intelligent search and analysis capabilities
-
Elevate your practice by focusing your expertise where it matters most while Vincent handles the heavy lifting