Cited by 232Information Systems Theories and ImplementationAI and HR TechnologiesEthics and Social Impacts of AI

What Do I Do in a World of Artificial Intelligence? Investigating the Impact of Substitutive Decision-Making AI Systems on Employees' Professional Role Identity

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Strich, Franz, University of Bayreuth, Germany, Mayer, Anne-Sophie, University of Passau, Germany, Fiedler, Marina, University of Passau, Germany·2021·Journal of the Association for Information Systems

Abstract

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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Registry

Crossref · 10.17705/1jais.00663

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45 of 45 references verified0 citation errors · 0 not checkable

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  • Ill-designed jobs can lead to counterproductive work behavior, such as not trying to maintain sufficient epistemic access or intentionally overwriting outputs to feel needed.

    “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]).”

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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
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
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 › Sociology and Political Science › Information Systems Theories and Implementation
  • Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › AI and HR Technologies
  • Social Sciences › Safety Research › 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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