Analyzing the Complexity of Performance Information Use: Experiments with Stakeholders to Disaggregate Dimensions of Performance, Data Sources, and Data Types

DOIhttp://doi.org/10.1111/puar.12920
AuthorOliver James,Samuel M. Y. Ho,M. Jin Lee,Richard M. Walker
Date01 November 2018
Published date01 November 2018
Public Administration Review,
Vol. 78, Iss. 6, pp. 852–863. © 2018 by
The American Society for Public Administration.
DOI: 10.1111/puar.12920.
852 Public Administration Review Novem ber | Dece mber 2 018
Abstract: This article addresses important questions about the complex construct of underlying performance
information use: public service performance. A between-subjects experimental vignette methodology was implemented
to answer questions about the effects of emphasizing different dimensions of performance and the sources and types of
performance information among internal and external stakeholders in two service arenas (secondary education and
solid waste management) in Hong Kong. The findings indicate common attitudes and agreement across stakeholder
groups and services on the merits of archival and external data types. Other results vary by service and between
stakeholder groups. The effects of information about effectiveness can depend on its combination with information
about efficiency or equity. This complexity needs to be considered when designing information communication to
different stakeholder groups.
Evidence for Practice
Public service organizations should consider providing targeted and appropriate performance information
that suits the needs of stakeholder groups.
The effect of providing information about effectiveness depends on its combination with information about
efficiency and equity. Providing information about efficiency as well as effectiveness reduced perceived
performance in the case of secondary education.
Whenever possible, public service organizations should communicate external and archival performance
information to stakeholder groups.
Performance information use (PIU) is the
most widely diffused management practice
to emerge from the New Public Management
reform movement. Although the effects and merits
of PIU remain contested (Heinrich and Lynn
2000; Pollitt 2006: Van Dooren and Van de Walle
2008), governments have used it to become more
performance oriented. The OECD (2005) described
how governments use PIU to enhance planning,
reporting, and controls systems in order to improve
decision-making. Behn (2003) identified eight
purposes of performance measurement: evaluate,
control, budget, motivate, promote, celebrate, learn,
and improve. These practices are supported by
burgeoning research evidence (George et al. 2017;
Moynihan 2008). One aspect of this expanding
knowledge base is the growing interest in the interface
between government and citizens (Baekgaard 2015;
Baekgaard and Serritzlew 2016; James and John
2007). Government-citizen PIU studies, the focus of
our inquiry, have shown how citizens use performance
information (PI) to punish or reward politicians in
elections (James and John 2007), that PI matters to
citizens when linked to cost information (Baekgaard
2015), that relative PI data affect perceptions of
performance (James and Moseley 2014), and that
citizens’ interpretations of PI are biased by their
ideological beliefs (Baekgaard and Serritzlew 2016).
This article contributes to the knowledge of PIU
and is partly motivated by James’s (2011, 399) call
to assess information “in different service contexts
coming from different information sources” and James
and Moseley’s (2014, 505) recommendation to focus
on “multi-dimensional information (for example
about inputs, processes, or outputs and different
aspects of a service).” Performance is a complex
concept and can be operationalized in many ways,
reflecting the multiple goals of public organizations.
We seek to unpack the concept, thereby making a
number of contributions to the study of PIU.
The first contribution we make is examining the
preferences for different dimensions of performance
in different stakeholder groups. Many dimensions of
performance include outputs and outcome measures,
of which the most frequently seen in the literature
are efficiency, effectiveness, and equity (Boyne
Richard M. Walker
City University of Hong Kong
M. Jin Lee
City University of Hong Kong
Oliver James
University of Exeter
Samuel M. Y. Ho
City University of Hong Kong
Analyzing the Complexity of Performance Information Use:
Experiments with Stakeholders to Disaggregate Dimensions
of Performance, Data Sources, and Data Types
Oliver James is professor of political
science in the Department of Politics at
the University of Exeter. He works on the
politics and accountability of public services,
citizen-provider relationships, public sector
organization and reform, executive politics,
and regulation of publicly owned and/
or funded bodies and services. He uses a
range of methods, including survey and field
experiments.
E-mail: o.james@exeter.ac.uk
M. Jin Lee is research fellow of public
policy at City University of Hong Kong. She
is a core member of Laboratory for Public
Management and Policy and manages the
experimental methods lab. Her research
focuses on public management, decision-
making, motivation, and policy networking.
E-mail: m.jinlee@cityu.edu.hk
Richard M. Walker is Chair Professor
of Public Management at City University
of Hong Kong, where he is director of
the Laboratory for Public Management
and Policy and associate dean (research
and postgraduate studies) in the College
of Liberal Arts and Social Sciences. He is
vice president of the Public Management
Research Association.
E-mail: rmwalker@cityu.edu.hk
Samuel M. Y. Ho is associate provost
(institutional initiatives) and professor
of psychology at City University of Hong
Kong. Currently, he is conducting a series of
experiments in the Psychology Laboratory of
City University of Hong Kong to examine the
effect of different information-processing
styles on mental health. He is one of the
representative figures of positive psychology
in Asia and the Executive Council member
of the Clinical Division of the International
Positive Psychology Association.
E-mail: munyinho@cityu.edu.hk
Research Article

To continue reading

Request your trial

VLEX uses login cookies to provide you with a better browsing experience. If you click on 'Accept' or continue browsing this site we consider that you accept our cookie policy. ACCEPT