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Artificial intelligence, types of decisions, and street-level bureaucrats: Evidence from a survey experiment

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  • Ge Wang
  • Shenghua Xie
  • Xiaoqian Li

Abstract

Drawing on the logic of Simon’s decision-making theory, this study compares the effects of AI versus humans on discretion, client meaningfulness, and willingness-to-implement, and examines the moderating role of different types of decisions on those relationships. The findings show that AI usage has a negative effect on perceived discretion and a positive effect on willingness-to-implement. Conversely, non-programmed decisions tend to have a positive effect on both perceived discretion and willingness-to-implement. Moreover, non-programmed decisions mitigated the effect of AI usage on perceived discretion, while programmed decisions interacted with AI usage to improve client meaningfulness and strengthen willingness-to-implement.

Suggested Citation

  • Ge Wang & Shenghua Xie & Xiaoqian Li, 2024. "Artificial intelligence, types of decisions, and street-level bureaucrats: Evidence from a survey experiment," Public Management Review, Taylor & Francis Journals, vol. 26(1), pages 162-184, January.
    • Handle: RePEc:taf:rpxmxx:v:26:y:2024:i:1:p:162-184
    DOI: 10.1080/14719037.2022.2070243
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