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Cited by 312

The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.

Behavioral Public Administration ad fontes: A Synthesis of Research on Bounded Rationality, Cognitive Biases, and Nudging in Public Organizations

Battaglio, R. Paul, Belardinelli, Paolo, Bellé, Nicola, Cantarelli, Paola·2019·Public Administration Review

Abstract

This article provides a comprehensive overview of how policy makers, practitioners, and scholars can fruitfully use behavioral science to tackle public administration, management, and policy issues. The article systematically reviews 109 articles in the public administration discipline that are inspired by the behavioral sciences to identify emerging research trajectories, significant gaps, and promising applied research directions. In an attempt to systematize and take stock of the nascent behavioral public administration scholarship, the authors trace it back to the seminal works of three Nobel Laureates—Herbert Simon, Daniel Kahneman, and Richard Thaler—and their work on bounded rationality, cognitive biases, and nudging, respectively. The cognitive biases investigated by the studies reviewed fall into the categories of accessibility, loss aversion, and overconfidence/optimism. Nudging and choice architecture are discussed as viable strategies for leveraging these cognitive traps in an attempt to alter behavior for the better, among both citizens and public servants.

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Crossref · 10.1111/puar.12994

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Metadata

Authors
Battaglio, R. P., Belardinelli, P., Bellé, N., & Cantarelli, P.
Venue
Public Administration Review
Publisher
Wiley
Published
2018-09-26
Volume
79
Issue
3
Pages
304-320
ISSN
  • 0033-3352 (ISSN-L)
  • 1540-6210
OpenAlex
W2893287921
Cited by
312
References
18
FWCI
21.14
Type
journal article
Language
en
Open access
closed

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.