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This (AI)n’t fair? Employee reactions to artificial intelligence (AI) in career development systems

Author

Listed:
  • Alina Köchling

    (Heinrich-Heine-Universität Düsseldorf)

  • Marius Claus Wehner

    (Heinrich-Heine-Universität Düsseldorf)

  • Sascha Alexander Ruhle

    (Tilburg University)

Abstract

Organizations increasingly implement AI for career development to enhance efficiency. However, there are concerns about employees’ acceptance of AI and the literature on employee acceptance of AI is still in its infancy. To address this research gap, integrating justice theory, we investigate the effects of the deciding entity (human, human and AI, and AI) and the impact of the data source (internal data, external data), on employees’ reactions. Using a scenario-based between-subject design, displaying a common situation in organizations (N = 280) and an additional causal-chain-approach (N = 157), we examined whether a decrease of human involvement in decision making diminishes employees’ perceived fairness and satisfaction with the career development process and increases their perceived privacy intrusion. Although we also considered other data sources to moderate the proposed relationships, we found no support for interaction effects. Finally, fairness and privacy intrusion mediated the influence of the deciding entity and data source on turnover intention and employer attractiveness, while satisfaction with the process did not. By addressing how the employees react to AI in career development–showing the negative reactions, our study holds considerable relevance for research and practice.

Suggested Citation

  • Alina Köchling & Marius Claus Wehner & Sascha Alexander Ruhle, 2025. "This (AI)n’t fair? Employee reactions to artificial intelligence (AI) in career development systems," Review of Managerial Science, Springer, vol. 19(4), pages 1195-1228, April.
    • Handle: RePEc:spr:rvmgts:v:19:y:2025:i:4:d:10.1007_s11846-024-00789-3
    DOI: 10.1007/s11846-024-00789-3
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    References listed on IDEAS

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    More about this item

    Keywords

    Artificial intelligence; Employees’ reactions; Fairness; Organizational attractiveness; Privacy intrusion; Turnover intentions;
    All these keywords.

    JEL classification:

    • O15 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration
    • C99 - Mathematical and Quantitative Methods - - Design of Experiments - - - Other
    • M10 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - General

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