Designing human resource management systems in the age of AI

Patrick Nicolas Tinguely (), Junghyun Lee () and Vivianna Fang He ()
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Patrick Nicolas Tinguely: ETH Zurich
Junghyun Lee: University of Michigan-Dearborn
Vivianna Fang He: University of St. Gallen, School of Management

Journal of Organization Design, 2023, vol. 12, issue 4, 263-269

Abstract: Abstract The increasing adoption of artificial intelligence (AI) is reshaping the practices of human resource management (HRM). We propose a typology of HR–AI collaboration systems across the dimensions of task characteristics (routine vs. non-routine; low vs. high cognitive complexity) and social acceptability of such systems among organizational members. We discuss how organizations should design HR–AI collaboration systems in light of issues of AI explainability, high stakes contexts, and threat to employees’ professional identities. We point out important design considerations that may affect employees' perceptions of organizational fairness and emphasize HR professionals' role in the design process. We conclude by discussing how our Point of View article contributes to literatures on organization design and human–AI collaboration and suggesting potential avenues for future research.

Keywords: Artificial intelligence; Human resource management; Organization design; Social acceptability; Organizational fairness (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/s41469-023-00153-x

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