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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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BackgroundShadow Learning: Building Robotic Surgical Skill When Approved Means Fail
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“Studies that focus on the positive effect of IS on employees’ identity highlight, in particular, how IS can enhance professionals’ role identity (e.g., Kyratsis et al., 2017; Nelson & Irwin, 2014).”
BackgroundInformation Technology Identity: A Key Determinant of IT Feature and Exploratory Usage
Carter, M., Petter, S., Grover, V., & Thatcher, J. B. (2020) · MIS Quarterly · doi:10.25300/misq/2020/14607 · Cited by 143 · cited 7×
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BackgroundInfluentialWhat to Expect From Artificial Intelligence in Business
Verhezen, P. (2020) · Challenges and Opportunities of Corporate Governance Transformation in the Digital Era · doi:10.4018/978-1-7998-2011-6.ch004 · Cited by 135 · cited 1×
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BackgroundThe IT Identity Threat: A Conceptual Definition and Operational Measure
Craig, K., Thatcher, J. B., & Grover, V. (2019) · Journal of Management Information Systems · doi:10.1080/07421222.2018.1550561 · Cited by 131 · cited 7×
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Ciocan, T. (2023) · Diálogo · doi:10.51917/dialogo.2023.10.1.15 · Cited by 128 · cited 3×
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BackgroundWhat Clients Don't Get about My Profession: A Model of Perceived Role-Based Image Discrepancies
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BackgroundSpecial Issue of Organization Science: Emerging Technologies and Organizing
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BackgroundSelf-citationIT Identity: A Measure and Empirical Investigation of its Utility to IS Research
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BackgroundInfluentialCoping with information technology challenges to identity: A theoretical framework
Nach, H., & Lejeune, A. (2010) · Computers in Human Behavior · doi:10.1016/j.chb.2009.12.015 · Cited by 44 · cited 1×
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BackgroundIdentity under challenge: Examining user’s responses to computerized information systems
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Background
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Managing artificial intelligence
Berente, N., Gu, B., Recker, J., & Santhanam, R. (2021) · MIS Quarterly · doi:10.25300/misq/2021/16274 · Cited by 898
Six Human-Centered Artificial Intelligence Grand Challenges
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“One of the main worries of the public about AI and the future of work is increasing AI substitution for employees ’ tasks, responsibilities, and decision making and the high potential for worker replacement (Ernst et al., 2019; Strich et al., 2021).”
The dark sides of people analytics: Reviewing the perils for organisations and employees
Giermindl, L. M., Strich, F., Christ, O., Leicht-Deobald, U., & Redzepi, A. (2022) · European Journal of Information Systems · doi:10.1080/0960085x.2021.1927213 · Cited by 331
Self-citationTechnology readiness and the organizational journey towards AI adoption: An empirical study
Uren, V., & Edwards, J. S. (2023) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2022.102588 · Cited by 335
“The impact of AI on jobs and the nature of roles has been discussed widely, e.g. (Du & Xie, 2021; Frey & Osborne, 2017; Strich, Mayer & Fiedler, 2021).”
BackgroundDigital governance: A conceptual framework and research agenda
Hanisch, M., Goldsby, C. M., Fabian, N. E., & Oehmichen, J. (2023) · Journal of Business Research · doi:10.1016/j.jbusres.2023.113777 · Cited by 267
“Such digital technologies permit a shift toward automated modes of governance, which differ radically from their analog counterparts (Strich, Mayer, & Fiedler, 2021; Tarafdar, Page, & Marabelli, 2023).”
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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