The rise of artificial intelligence – understanding the AI identity threat at the workplace
Open accessAbstract
Artificial intelligence (AI) is being increasingly integrated into enterprises to foster collaboration within humanmachine teams and assist employees with work-related tasks. However, introducing AI may negatively impact employees’ identifications with their jobs as AI is expected to fundamentally change workplaces and professions, feeding into individuals’ fears of being replaced. To broaden the understanding of the AI identity threat, the findings of this study reveal three central predictors for AI identity threat in the workplace: changes to work, loss of status position, and AI identity predicting AI identity threat in the workplace. This study enriches information systems literature by extending our understanding of collaboration with AI in the workplace to drive future research in this field. Researchers and practitioners understand the implications of employees’ identity when collaborating with AI and comprehend which factors are relevant when introducing AI in the workplace.
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Increased trust ultimately results in more widespread adoption of AI applications.
“Increased trust ultimately results in more widespread adoption of AI applications (Adadi and Berrada 2018; Janiesch etal. 2021; Mirbabaie et al. 2021; Sigrist and Hirnschall 2019).”
From Applications of Explainable Artificial Intelligence in Finance—a systematic review of Finance, Information Systems, and Computer Science literature (2024) · cites this paper as Mirbabaie et al. 2021
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“Increased trust ultimately results in more widespread adoption of AI applications (Adadi and Berrada 2018; Janiesch et al. 2021; Mirbabaie et al. 2021; Sigrist and Hirnschall 2019).”
The job perception inventory: Considering human factors and needs in the design of human-AI work
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“Thereby, the collaboration, as well as the AI system, is evaluated positively by employees if it supports human capabilities and also takes into account themeaningfulness in terms of job identity (Mirbabaie et al., 2022; Sadeghian and Hassenzahl, 2022).”
BackgroundInfluential
- Authors
- Mirbabaie, M., Brünker, F., Möllmann Frick, N. R. J., & Stieglitz, S.
- Affiliations
- Paderborn University (DE)
- University of Duisburg-Essen (DE)
- Corresponding author
- Mirbabaie, Milad
- Venue
- Electronic Markets
- Published
- 2021-10-05
- Volume
- 32
- Issue
- 1
- Pages
- 73-99
- ISSN
- 1019-6781 (ISSN-L)
- 1422-8890
- OpenAlex
- W3204467494
- Cited by
- 362
- References
- 28
- Citations by year
- 2026: 120 · 2025: 113 · 2024: 82 · 2023: 36 · 2022: 10 · 2021: 1
- FWCI
- 31.38
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- Electronic Markets (publishedVersion, cc-by)
- RePEc: Research Papers in Economics (submittedVersion)
- Econstor (Econstor) (submittedVersion, cc-by)
- Funders
- Universität Paderborn
- Topics
- Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › AI and HR Technologies
- Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › Job Satisfaction and Organizational Behavior
- Social Sciences › Psychology › Social Psychology › Technostress in Professional Settings
- Keywords
- artificial intelligence, occupational identity, human-AI collaboration, fear of job replacement, AI identity, employee attitudes toward AI
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