Province of origin, decision-making bias, and responses to bureaucratic versus algorithmic decision-making (Record no. 532805)

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100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Wang, Ge Zhang, Zhejun Xie, Shengua and Guo Yue
245 ## - TITLE STATEMENT
Title Province of origin, decision-making bias, and responses to bureaucratic versus algorithmic decision-making
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc Public Administration Review
300 ## - PHYSICAL DESCRIPTION
Extent 85(6), Nov-Dec, 2025: p.1738-1756
520 ## - SUMMARY, ETC.
Summary, etc 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.- Reproduced

https://onlinelibrary.wiley.com/doi/10.1111/puar.13928
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Main entry heading Public Administration Review
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Item type Articles
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Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Permanent location Current location Date acquired Serial Enumeration / chronology Barcode Date last seen Koha item type
          Indian Institute of Public Administration Indian Institute of Public Administration 2026-03-19 85(6), Nov-Dec, 2025: p.1738-1756 AR138323 2026-03-19 Articles

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