Province of Origin, Decision‐Making Bias, and Responses to Bureaucratic Versus Algorithmic Decision‐Making

Datos Bibliográficos

ID7361997
AutoresGe Wang (0000-0001-5417-6819, Faculty of Political Science, School of Public Administration Central China Normal University Wuhan China), Zhejun Zhang (0000-0003-2175-3362, School of Government Beijing Normal University Beijing China), Shenghua Xie (0000-0002-1222-8921, Faculty of Political Science, School of Public Administration Central China Normal University Wuhan China), Yue Guo (0000-0003-3452-8965, School of Government Beijing Normal University Beijing China)
Año2025
Volumen85
Número6
Páginas1738-1756
Fecha de publicación2025-01-27
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaPublic Administration Review (JOURNAL)
Identificadores de la revistaISSN: 0033-3352 • E-ISSN: 1540-6210
EditorialWiley (PUBLISHER • GB)
DOI10.1111/puar.13928
OpenAlexW4406869107
IdiomaEN
Citas recibidas9
Referencias citadas61

As algorithmic decision‐making (ADM) becomes prevalent in certain public sectors, its interaction with traditional bureaucratic decision‐making (BDM) evolves, especially in contexts shaped by regional identities and decision‐making biases. To explore these dynamics, we conducted two survey experiments within traffic enforcement scenarios, involving 4816 participants across multiple provinces. Results indicate that non‐native residents perceived ADM as fairer and more acceptable than BDM when they did not share a province of origin with local bureaucrats. Both native and non‐native residents showed a preference for ADM in the presence of bureaucratic and algorithmic biases but preferred BDM when such biases were absent. When bureaucratic and algorithmic biases coexisted, the lack of a shared province of origin further reinforced non‐native residents' perception of ADM as fairer and more acceptable than BDM. Our findings reveal the complex interplay among province of origin, decision‐making biases, and responses to different decision‐making approaches

Bureaucracy · Political science · Politics · Decision-Making and Behavioral Economics · Law · Psychological Well-being and Life Satisfaction · Social and Intergroup Psychology