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

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

Asia Pacific Journal of Public Administration, 2022, vol. 44, issue 1, 47-65

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.

Date: 2022
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DOI: 10.1080/23276665.2021.1945468

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