When the Automated fire Backfires: The Adoption of Algorithm-based HR Decision-making Could Induce Consumer's Unfavorable Ethicality Inferences of the Company
The growing uses of algorithm-based decision-making in human resources management have drawn considerable attention from different stakeholders. While prior literature mainly focused on stakeholders directly related to HR decisions (e.g., employees), this paper pertained to a third-party observer pe...
| Authors: | ; ; ; ; |
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| Format: | Electronic Article |
| Language: | English |
| Check availability: | HBZ Gateway |
| Journals Online & Print: | Drawer...
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| Fernleihe: | Fernleihe für die Fachinformationsdienste |
| Published: |
Springer
2023
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| In: |
Journal of business ethics
Year: 2023, Pages: 841-859 |
| Further subjects: | B
Consumer perceived ethicality
B Respectful employee treatment B Algorithm-based HR decision-making |
| Online Access: |
Volltext (lizenzpflichtig) |
| Summary: | The growing uses of algorithm-based decision-making in human resources management have drawn considerable attention from different stakeholders. While prior literature mainly focused on stakeholders directly related to HR decisions (e.g., employees), this paper pertained to a third-party observer perspective and investigated how consumers would respond to companies’ adoption of algorithm-based HR decision-making. Through five experimental studies, we showed that the adoption of algorithm-based (vs. human-based) HR decision-making could induce consumers’ unfavorable ethicality inferences of the company (study 1); because implementing a calculative and data-driven approach (i.e. algorithm-based) to make employee-related decisions violates the deontological principles of respectful employee treatment (study 2). However, this effect was attenuated when consumers had high (vs. low) power distance beliefs (study 3); the algorithm served as assistance (vs. replacement) for human decisions (study 4); or the adoption was framed as employee-oriented (vs. company-oriented) motivated (study 5). Our findings suggested that consumers are aversive to algorithm-based HR decision-making because it is deontologically problematic regardless of its decision quality (i.e. accuracy). This paper contributes to the extant understanding of stakeholders' responses to algorithm-based HR decision-making and consumers’ attitudes toward algorithm users. |
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| ISSN: | 1573-0697 |
| Contains: | Enthalten in: Journal of business ethics
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| Persistent identifiers: | DOI: 10.1007/s10551-023-05351-x |