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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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“It is acknowledged that with AI, highly skilled people could be replaced with low-skilled personnel (Strich et al., 2021), or the ownership of decisions could be transferred to end-users rather than experts (Rinta-Kahila et al., 2021).”
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“…tools under human control; rather, they are viewed as intelligent and autonomous agencies that can make decisions for humans (newlands, 2021; Strich et al., 2021). moreover, employees perceive a loss of control over processes and outputs since these technologies become producers (lammi,…”
InfluentialGrote, G., Parker, S. K., & Crowston, K. (2024) · Academy of Management Review · doi:10.5465/amr.2023.0117 · Cited by 78
Adam, M., Diebel, C., Goutier, M., & Benlian, A. (2024) · Decision Support Systems · doi:10.1016/j.dss.2024.114193 · Cited by 62
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“Finally, AI systems can quickly and efficiently perform many tasks that would otherwise be the responsibility of humans, and employees may find their roles in the workplace being simplified or even replaced, posing unprecedented challenges to their professional role identity (Strich et al., 2021).”
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“This not only complements the expertise of the stakeholder, but recent research also found that this leads to better satisfaction and protection of the role identity of the employee (Strich et al. 2021).”
Background‘The end user takes the final decision’
Aal, E. B. W. (2025) · Systems Research and Behavioral Science · doi:10.1002/sres.3124 · Cited by 17
Döring, M., Mikkelsen, K. S., Madsen, J. K., & Haug, K. B. (2024) · Government Information Quarterly · doi:10.1016/j.giq.2024.101911 · Cited by 13
Mueller, L., Albrecht, G., Toutaoui, J., Benlian, A., & Cram, W. A. (2024) · European Journal of Information Systems · doi:10.1080/0960085x.2024.2371813 · Cited by 21
“For instance, previous research has studied nurses becoming managers (Croft et al., 2015), individuals becoming priests (Kreiner et al., 2006), or artificial intelligence systems altering professionals’ roles (Strich et al., 2021).”
Moulaï, K., Islam, G., Manning, S., & Terlinden, L. (2022) · The International Journal of Human Resource Management · doi:10.1080/09585192.2022.2066982 · Cited by 12
“For instance, while some research has pointed out the identity implications of working with technology (e.g., Miscenko & Day, 2016; Strich et al., 2021), this has been in terms of maintaining and protecting professional identity, without acknowledging how employees may be led to compare themselves…”
BackgroundMitigating AI bias in financial decision-making: A DEI perspective
Angela, O., & Odewuyi, O. M. (2024) · World Journal of Advanced Research and Reviews · doi:10.30574/wjarr.2024.24.3.3894 · Cited by 11
“By analysing transactional data, AI systems detect anomalies indicative of fraud, enabling real-time interventions [3].”
The effect of service robot use on tourism staff career identity: an experimental study
Wang, J.-W., Sun, Y., Zhang, S.-Y., & Feng, L. (2024) · Journal of Travel & Tourism Marketing · doi:10.1080/10548408.2024.2408335 · Cited by 11
“Several studies have examined the negative impacts of service robots on staff and have confirmed the adverse effects from using service robots from multiple perspectives (Strich et al., 2021).”
Weathering the storm: examining how organisations navigate the sea of cybersecurity regulations
Proudfoot, J. G., Cram, W. A., & Madnick, S. (2024) · European Journal of Information Systems · doi:10.1080/0960085x.2024.2345867 · Cited by 26
“Overall, our analysis was guided by best practices that have been previously employed in prior information systems studies (e.g., Cram et al., 2021, Lansing et al., 2018, Strich et al., 2021, Webster, 1998) to ensure that we, too, would arrive at a robust and reliable result.”
Hutson, J. (2023) · Metaverse · doi:10.54517/m.v4i2.2276 · Cited by 11
“A marked interest in the domain of emotionally perceptive AI, highlighting the cardinal role of emotions in shaping intelligent conduct and deliberative processes, has been noticed [22,23] .”
BackgroundNot all forms of artificial intelligence are perceived equal: AI functions and work outcomes
Cao, J., Yao, J., Sun, S., Song, Z., & Zhang, F. (2025) · Journal of Open Innovation: Technology, Market, and Complexity · doi:10.1016/j.joitmc.2025.100521 · Cited by 10
Li, H., & Li, H. (2025) · Journal of Managerial Psychology · doi:10.1108/jmp-09-2024-0711 · Cited by 10
Mammadov, H., Gándara, Á. R., Abril, L. G., & Romero, I. (2024) · Amfiteatru Economic · doi:10.24818/ea/2024/67/848 · Cited by 38
“Moreover, AI enables low-skilled employees to handle complex tasks that previously might have required specialisation or training (Mayer, Strich and Fiedler, 2020; Strich, Mayer and Fiedler, 2021).”
BackgroundHuman Resource Management and Artificial Intelligence: A Bibliometric Exploration
Mathushan, P., Gamage, A. S., & Thero, V. W. (2023) · Vidyodaya Journal of Management · doi:10.31357/vjm.v9ii.6370 · Cited by 23
Pieper, M., & Gleasure, R. (2025) · Information Systems Journal · doi:10.1111/isj.12585 · Cited by 16
“Research has long high-lighted this threat that human knowledge can diminish when human agents are given sophisticated decision-making tools (Arnold and Sutton 1998; Rinta-Kahila et al. 2018; Strich, Mayer, and Fiedler 2021).”
Elevating Developers’ Accountability Awareness in AI Systems Development
Schmidt, J.-H., Bartsch, S. C., Adam, M., & Benlian, A. (2025) · Business & Information Systems Engineering · doi:10.1007/s12599-024-00914-2 · Cited by 15
“Additionally, the development of such AI systems is not only legally pertinent but also mirrors ongoing, realistic projects in the industry (e.g., Strich et al. 2021).”
Passlack, N., Hammerschmidt, T., & Posegga, O. (2024) · Behaviour and Information Technology · doi:10.1080/0144929x.2024.2431050 · Cited by 17
Faas, C., Uth, R., Sterz, S., Langer, M., & Feit, A. M. (2026) · ACM Conference on Fairness, Accountability, and Transparency (FAccT) · doi:10.1145/3805689.3812265 · Cited by 25
“In a case study by Strich et al. [82], loan officers, whose primary task was to input information into an AI-based system and communicate the AI-based decision to loan applicants, were found to start manipulating the input data to be able to affect the AI-based outputs and thus regain their…”
Artificial Intelligence and Digital Work: The Sociotechnical Reversal
Fischer, L., Wunderlich, N., & Baskerville, R. (2023) · Hawaii International Conference on System Sciences · doi:10.24251/hicss.2023.027 · Cited by 9
“Substitution of human competence by AI can lead to focusing on social interactions with customers when trusting the algorithmic decision (Strich et al., 2021).”
BackgroundMayer, A., van den Broek, E., & Karačić, T. (2025) · Journal of Management Studies · doi:10.1111/joms.70022 · Cited by 11
Self-citationSmith, P., & Smith, L. (2023) · AI and Ethics · doi:10.1007/s43681-023-00388-0 · Cited by 8
“The reality is that AI will enrich, rather than replace, the role of professionals [41].”
Viljakainen, A., Silmukari, J., Roto, V., Čaić, M., & Aromaa, S. (2025) · Behaviour and Information Technology · doi:10.1080/0144929x.2025.2596889 · Cited by 12
Jooss, S., Solnet, D., Knight, C., Worsteling, A., Rinta-Kahila, T., & Hansen, A. M. (2025) · Journal of service management · doi:10.1108/josm-12-2024-0535 · Cited by 15
Ogawa, N., Okafuji, Y., Hatada, Y., & Baba, J. (2025) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3757686 · Cited by 8
Hanelt, A., Wiesche, M., Benlian, A., & Hinz, O. F. (2025) · MIS Quarterly · doi:10.25300/misq/2025/18041 · Cited by 18
Yaroğlu, A. C. (2024) · Kybernetes · doi:10.1108/k-09-2024-2379 · Cited by 10
Navigating the decision‐making landscape of AI in risk finance: Techno‐accountability unveiled
Issa, H., Dakroub, R., Lakkis, H., & Jaber, J. (2024) · Risk Analysis · doi:10.1111/risa.14336 · Cited by 12
“Furthermore, the finance industry has been found to be the most stressful business sector (The Global Treasurer, 2018) and perceived to yield unforeseen consequences related to AI decision-making (Strich et al., 2021).”
Peng, C.-Y., & Haq, M. (2026) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2025.104718 · Cited by 6
AI in Healthcare: Identity Threat or Opportunity? Insights From Medical Specialists
Terlinden, L., Verachtert, A., & Bollens, J. (2025) · Qualitative Health Research · doi:10.1177/10497323251387568 · Cited by 4
“In this scenario, AI implementation constitutes a signi fi cant threat for physicians ’ professional identity (Goto, 2021; Mirbabaie et al., 2022; Petriglieri, 2011; Strich et al., 2021).”
Marín, R. G., Arias-Pérez, J., & Restrepo‐Estrada, C. (2025) · Journal of Industrial Information Integration · doi:10.1016/j.jii.2025.101019 · Cited by 3
Shonhe, L., & Min, Q. (2025) · Aslib Journal of Information Management · doi:10.1108/ajim-08-2024-0673 · Cited by 9
A framework for nurturing champions of digital innovation
Horstmann, S., Drechsler, K., & Kruse, L. C. (2025) · Information Systems and E-Business Management · doi:10.1007/s10257-024-00697-9 · Cited by 6
“Recent discourse on the use of AI in making HR-related decisions points to both the bright and the darker side (Bankins et al. 2022; Strich et al. 2021).”
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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