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What Do I Do in a World of Artificial Intelligence? Investigating the Impact of Substitutive Decision-Making AI Systems on Employees' Professional Role Identity
Open accessAbstract
Artificial intelligence (AI) systems in the workplace increasingly substitute for employees’ tasks, responsibilities, and decision-making. Consequently, employees must relinquish core activities of their work processes without the ability to interact with the AI system (e.g., to influence decision-making processes or adapt or overrule decision-making outcomes). To deepen our understanding of how substitutive decision-making AI systems affect employees’ professional role identity and how employees adapt their identity in response to the system, we conducted an in-depth case study of a company in the area of loan consulting. We qualitatively analyzed more than 60 interviews with employees and managers. Our research contributes to the literature on IS and identity by disclosing mechanisms through which employees strengthen and protect their professional role identity despite being unable to directly interact with the AI system. Further, we highlight the boundary conditions for introducing an AI system and contribute to the body of empirical research on the potential downsides of AI.
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“Also, illdesigned jobs can lead to counterproductive work behavior, i.e., behavior at work that is inconsistent with or even intentionally disrespecting job duties (e.g., not even trying to maintain sufficient epistemic access, or intentionally overwriting outputs to feel 'needed' [80]).”
From On the Quest for Effectiveness in Human Oversight: Interdisciplinary Perspectives (2024) · cites this paper as [80]
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When AI Changes the Work: A Theory of Task Evolution
Gupta, S., & Braswell, G. J. (2026) · SIGMIS-CPR · doi:10.1145/3768310.3807822
Analysing the Role of HR in Mitigating AI-Driven Technostress in Digital Workplaces
Wadhwa, S. N., Srivastava, A. P., & Bhardwaj, G. (2026) · 2026 2nd International Conference on Sustainable Computing and Integrated Communication in Changing Landscape of AI (ICSCAI) · doi:10.1109/icscai68849.2026.11649411
“This makes employees feel that their authority to make decisions is getting reduced [19], [20], Employees feel more engaged and confident when they have the freedom to use their judgment and experience to make meaningful decisions in workplace.”
Ningsih, S., Syahputra, D., Husainah, N., Wibowo, A., & Hakim, C. (2026) · West Science Social and Humanities Studies · doi:10.58812/wsshs.v4i03.2702
Şahin, Z. (2026) · International Journal of Management Economics and Business · doi:10.17130/ijmeb.1677954
YAPAY ZEKA TEMELLI KURULUŞLARDA DÖNÜŞÜMSEL LIDERLIĞIN ETKISI: BİR META-ANALIZ
Yazıcı, A. M. (2026) · Doğuş Üniversitesi Dergisi · doi:10.31671/doujournal.1706530
What’s wrong with AI art? Implications of generative AI on the value of creative media
Bowman, A., Sharma, M., Kisling, E., & Nowlin, K. P. (2026) · Behaviour & Information Technology · doi:10.1080/0144929x.2026.2623943
“Second, negative emotional reactions include the erosion of employees’ skills, roles, and identities (Lee and Sun 2023; Strich, Mayer, and Fiedler 2021).”
Haryanti, T., & Supriandi, S. (2026) · RIGGS: Journal of Artificial Intelligence and Digital Business · doi:10.31004/riggs.v4i4.5420
“This result aligns with the augmentation perspective of AI, which emphasizes the complementary role of intelligent systems in improving work processes, supporting decision-making, and strengthening organizational performance without necessarily displacing workers [19], [20].”
Rożnowski, B., Matłacz, K., & Mamcarz, P. J. (2026) · International Journal of Social Robotics · doi:10.1007/s12369-025-01342-2
“Employees experience severe stress as a result of having to redefine the meaning of their work and their relationship with their coworkers (some of whom are not humans but robots) [ 102 , 103].”
Queiroz, J. (2025) · BigData Congress [Services Society] · doi:10.1109/bigdata66926.2025.11400778
“The digital transformation brings both opportunities and challenges: large-scale administrative data enables evidence-based decisions, but organizational adoption depends on methods that are transparent, interpretable, scalable, and trustworthy [3], [4].”
Bibliometric Mapping of Competency-Based Recruitment
Judijanto, L. (2025) · Sustainable Development Insights · doi:10.58812/sdi.v1i04.2459
Balancing Human and Machine: A Position Paper on AI Integration in Procurement Management
Noha, C., & Allah, A. S. (2025) · 2025 IEEE International Conference on Advanced Technologies in Supply Chain Management (ATSCM) · doi:10.1109/atscm67505.2025.11473838
Identifying and overcoming challenges in generative AI: a user innovation perspective
Garg, J., Singh, A. K., Verma, S., & Chauhan, R. (2025) · International Journal of Innovation Science · doi:10.1108/ijis-10-2024-0296 · Cited by 1
Nie, T., Xie, L.-D., Gong, C.-J., Huang, Y., & Yan, Q. (2024) · Chinese Management Studies · doi:10.1108/cms-10-2023-0545
Hartanto, R., Sari, D. P., & Sutrisno, B. (2023) · Journal of Technology Innovation and Society · doi:10.63646/jtis.2023.010103
10 Minuten Soziologie: Digitalisierung
Block, K., Deremetz, A., Henkel, A., & Rehbein, M. (2022) · 10 Minuten Soziologie · doi:10.14361/9783839457108
How Dare You Refuse Me? How and When AI Negative Hiring Decision Influences Applicants’ Reactions
Zhang, Z., & Chen, X. (2026) · IEEE transactions on engineering management · doi:10.1109/tem.2026.3665195
“GiventheenormousopportunityofincorporatingAIdecision-making into hiring (e.g., reducing human biases [1] and making more accurate and timely decisions [2]), AI has been increas-inglyadoptedbyorganizationsforefficienttalentacquisition[3], evolvingbeyondsupportinghumanstomakingautonomousde-cisions[4].”
Abbas, K. J., Mahmoud, U. S., Hussein, I. A. U., & Naser, O. A. (2026) · Advances in Artificial Intelligence and Machine Learning · doi:10.54364/aaiml.2026.62295
“Studies indicate that AI contributes to evidence-based management by facilitating predictive modeling and optimizing strategic resource allocation [10].”
Rahman, S., Zaki, A., Huda, N., Faisal, A., & Wei, L. (2026) · Journal of Applied Organizational Systems and Behavior · doi:10.51847/qgqp66ji4d
Metadata
- Authors
- Strich, F., University of Bayreuth, G., Mayer, A.-S., University of Passau, G., Fiedler, M., & University of Passau, G.
- Affiliations
- University of Bayreuth (DE)
- University of Passau (DE)
- Venue
- Journal of the Association for Information Systems
- Publisher
- Association for Information Systems
- Published
- 2021
- Volume
- 22
- Issue
- 2
- Pages
- 304-324
- ISSN
- 1536-9323 (ISSN-L)
- OpenAlex
- W3143363932
- Cited by
- 232
- References
- 55
- Citations by year
- 2026: 55 · 2025: 70 · 2024: 52 · 2023: 37 · 2022: 12 · 2021: 6
- FWCI
- 37.07
- Type
- journal article
- Language
- en
- Open access
- green
- figshare.com
- Licence
- cc-by
- Locations
- Journal of the Association for Information Systems (publishedVersion)
- Journal of the Association for Information Systems (submittedVersion)
- Own your potential (DEAKIN) (submittedVersion)
- ERef Bayreuth (University of Bayreuth) (submittedVersion)
- Figshare (submittedVersion, cc-by)
- Topics
- Social Sciences › Business, Management and Accounting › Management Information Systems › Information Systems Theories and Implementation
- Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › AI and HR Technologies
- Physical Sciences › Computer Science › Artificial Intelligence › Ethics and Social Impacts of AI
- Keywords
- artificial intelligence in the workplace, professional role identity, employee identity, decision-making, identity protection, identity strengthening, artificial intelligence adoption, human-AI interaction
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