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A matter of perspective: differential evaluations of artificial intelligence between managers and staff in an experimental simulation

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  • Hsini Huang
  • Kyoung-Cheol (Casey) Kim
  • Matthew M. Young
  • Justin B. Bullock

Abstract

This article tests whether managers and staff evaluate artificial intelligence (AI)-based process innovations differently. Scholars have argued perceptions of innovation vary systematically as a function of an individual’s position within organisations. We test for attitudinal differences between managers and staff via an online experimental simulation fielded among working-age Taiwanese citizens employed in public sector employment (n = 600). Respondents engage in a 12-round simulation. We experimentally vary whether the respondent receives support from an AI decision support tool. We assess pre-intervention and post-intervention attitudes towards the use of AI for a suite of organisational tasks, using a difference-in-difference estimation approach to identify the causal effect of organisational position on innovation evaluation. Our findings suggest managers are more supportive of AI as a decision support tool than staff, and remain so after the simulation. Managers also increased their support of AI tools to a larger degree than staff.

Suggested Citation

  • Hsini Huang & Kyoung-Cheol (Casey) Kim & Matthew M. Young & Justin B. Bullock, 2022. "A matter of perspective: differential evaluations of artificial intelligence between managers and staff in an experimental simulation," Asia Pacific Journal of Public Administration, Taylor & Francis Journals, vol. 44(1), pages 47-65, January.
  • Handle: RePEc:taf:rapaxx:v:44:y:2022:i:1:p:47-65
    DOI: 10.1080/23276665.2021.1945468
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    Cited by:

    1. Athota, Vidya S. & Pereira, Vijay & Hasan, Zahid & Vaz, Daicy & Laker, Benjamin & Reppas, Dimitrios, 2023. "Overcoming financial planners’ cognitive biases through digitalization: A qualitative study," Journal of Business Research, Elsevier, vol. 154(C).

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