Information use in public administration and policy decision‐making: A research synthesis

Published date01 November 2023
AuthorPaola Cantarelli,Nicola Belle,Jeremy L. Hall
Date01 November 2023
DOIhttp://doi.org/10.1111/puar.13735
RESEARCH ARTICLE
Information use in public administration and policy
decision-making: A research synthesis
Paola Cantarelli
1
| Nicola Belle
1
| Jeremy L. Hall
2
1
Management and Healthcare Laboratory,
Institute of Management, Scuola Superiore
SantAnna, Pisa, Pisa, Italy
2
School of Public Administration, College of
Community Innovation and Education, Orlando,
Florida, USA
Correspondence
Nicola Belle, Management and Healthcare
Laboratory, Institute of Management, Scuola
Superiore SantAnna, Pisa, Via San Zeno 2,
56127 Pisa, Italy.
Email: nicola.belle@santannapisa.it
Abstract
This article presents a research synthesis of 162 studies focusing on information
use for decision-making in public administration, management, and policy. The
findings reveal that a significant proportion of work is centered around perfor-
mance management and policy implementation. Notably, around one third of the
reviewed studies adopt a behavioral science perspective. The analysis predomi-
nantly includes civil servants and citizens as the subjects, with quantitative studies
outnumbering qualitative investigations by more than twofold. We identify three
distinct components in understanding information use: the objective features of
information architecture; the subjective mechanisms involving cognitive biases
(i.e., over-/under-reaction to irrelevant information features) and decision noise
(i.e., heterogeneity); and the moderating role of information user typology. Context
should also be taken into account. The article explores how these findings relate
to current societal challenges and emphasizes the potential of mixed-methods,
multisample, and/or multisite research in advancing knowledge in this area.
Evidence for practice
Navigating information use for decision-making in public administration, man-
agement, and policy is pivotal given the pressure to adopt interventions that
work and the rapid growth in computational capacity.
Going beyond the actual fragmentation in the understanding of information use
in public decision-making requires distinguishing objective features of informa-
tion, subjective mechanisms of information use, and the moderating role of user
characteristics, while also taking context into account.
If information use is influenced by behavior, we should broaden our concerns to
include information technology, encompassing data collection, analysis systems,
and the transformation of data into usable information.
INTRODUCTION
With increasing emphasis on big data, frequent admoni-
tion to follow the science, and a heightened attention to
evidence-based practice, there is renewed need to ask
how is information used to make decisions in the context
of public administration? What factors shape the kinds of
information individuals seek, and how do they weigh
information from different sources? Thinking ahead, will
we need to reexamine our understanding with the advent
of new technologies, such as artificial intelligence, that
are capable of aggregating and analyzing vast quantities
of data in a way that will reshape information use in pub-
lic decisions? The literature on information use in public
policy and administration is deeply fragmented, and con-
sequently its application is varied and its meaning
context-dependent. While our adoption of the term
information usemay carry certain connotations for dif-
ferent subsets of that literature, that is, purposeful infor-
mation use from the performance management literature
(Kroll, 2015a; Mikkelsen et al., 2023), we characterize the
term more broadly in order to capture its role in a variety
Received: 28 June 2023 Revised: 26 September 2023 Accepted: 26 September 2023
DOI: 10.1111/puar.13735
This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribu tion and reproduction in any medium, provided the
original work is properly cited.
© 2023 The Authors. Public Administration Review published by Wiley Periodicals LLC on behalf of American Society for Public Administration.
Public Admin Rev. 2023;83:16671686. wileyonlinelibrary.com/journal/puar 1667
of decision architectures and unique conceptualizations
across our field (which is to say, including, but not limited
to, performance management). Further, our research syn-
thesis specifically explores cognitive biases.
Recent studies provide prescriptive approaches to
evidence-based and best practice integration (Hall &
Jennings, 2008;Head,2008; Newcomer et al., 2023); others
have endeavored to produce a descriptive foundation of
differences that exist across geographies and organizations
(Jennings & Hall, 2012). The behavioral movement brings
with it the use of experimental methodologies that exam-
ine the effects of cognitive bias on the presentation, pro-
cessing, and use of information, which have well
established the human capacity to succumb unwittingly to
errors of judgment in making decisions. But the behavioral
perspective has only recently entered the sphere of aca-
demic inquiry related to public decision makersuse of var-
ied types of information. Stated differently, the kinds of
information available to decision makers are now more
varied and considerably more sophisticated. We are begin-
ning to crack open the shell of independent components
in information use, which necessitates we look more
closely at how and when information is used with an eye
toward how behavioral approaches might impact such
decisions (Grimmelikhuijsen et al., 2017).
This study takes a broad look at information use in
public sector decision-making, including policy making,
administrative choices, management and practice, by
analyzing articles that contain at least one of the follow-
ing keywords in the title: information, decision, use, or
data. By conducting a synthesis of the literature, we
explore the fundamental constructs that underpin the
information use in public administration and policy. Par-
ticularly salient to our understanding of this body of
knowledge is the variety and scope of research methodol-
ogies employed to understand information use. Hendren
et al. (2018) point out the potential for a positive quantita-
tive bias to crowd out qualitative studies that seek to drill
down to an individual, organizational, or decision-level
understanding of the cognitive factors at work in informa-
tion processing and use. We are particularly attentive to
work that employs a behavioral perspective, utilizing con-
structs related to errors in judgment in the form of cogni-
tive biases (Bellé et al., 2018). We report on several
characteristics of the state of the art of scholarly under-
standing of information use in public administration and
policy decision-making, so as to pinpoint its main inde-
pendent components and distill three key recommenda-
tions for the advancement of knowledge for theory and
practice alike.
THEORETICAL FRAMEWORK
Information is an essential component of decision-
making, and consequentially, an integral component of
public policy implementation and public management.
Simons(
1947) work reveals that we curtail information
search by satisficing, rather than optimizing outcomes.
Lindbloms(
1959) theory of incrementalism, or successive
limited comparisons, builds a framework of policy change
based on limited information seeking, or rather, informa-
tion seeking only at the margin. Fast forward half a cen-
tury, and we find ourselves inundated with new
applications for big data, fueled by rapid growth in tech-
nological capacity and a performance movement that
values collecting data to inform management (Andersen &
Moynihan, 2016; Desmidt & Meyfroodt, 2023; Kroll, 2015a;
Mikkelsen et al., 2022; Moynihan, 2015; Pandey, 2015;
Vogel & Hattke, 2018). Since the turn of the millennium,
the policy making elite have developed a new infatuation
with science, calling for increased use of evidence to
inform policy decisions at nearly every turn. Following the
increasing sophistication of the electorate, and their
attention to science as an answer to difficult questions
from climate change to criminal justice, politicians have
intensified their own admonition to follow the science.
The result is an evidence movement spawned out of
desire to replicate for other areas of policy and practice
what experimental results have been able to achieve
with pharmaceutical schedules. This movement has
been referred to somewhat flippantly as evidence-
based everything(Hall, 2021). And finally, a concomi-
tant movement in behavioralism, and behavioral public
administration in particular, has begun to enhance our
focus on the flaws in our information search, processing,
and consequentially our decisions, as a result of cogni-
tive biases and errors in judgment (Battaglio et al., 2019;
Grimmelikhuijsen et al., 2017).
Information plays a central role in public decisions, both
policy making and management, breaching both realms at
key junctures. In the 75 years since Simons(
1947)work,we
have come to understand most decisions in terms of
whether or not they are intuitive or rational, and when ratio-
nal, to what extent the information search is attenuated by
satisficing. Information and its use are ubiquitous to public
management, but we have not, as researchers, carved out
an overt focus on information, per se. The advent of
machine learning and artificial intelligence is raising new
concerns about the manner in which information is used to
influence decisions (Grimmelikhuijsen, 2023; Hartmann &
Wenzelburger, 2021). There is growing concern that infor-
mation may be manipulated at various stages of the deci-
sion process to achieve preconceived goals. Evidence itself
has come under attack; President Trump famously forbade
the use of the term evidence-basedin agency budget
requests (Hall and Battaglio 2018).Thesymbolicuseofevi-
dence rather than the substantive use for improved out-
comes is a real concern (Hall, 2017). In this environment, the
value of informationvalid and reliable informationis at a
premium. We need to take stock of the existing knowledge
in our field through a systematic understanding of how
information is treated in public administration research;
doing so will enable us to identify the gaps and weaknesses
1668 USE OF INFORMATION IN PUBLIC ADMINISTRATION

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