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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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]).”
From On the Quest for Effectiveness in Human Oversight: Interdisciplinary Perspectives (2024) · cites this paper as [80]
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InfluentialGrote, G., Parker, S. K., & Crowston, K. (2024) · Academy of Management Review · doi:10.5465/amr.2023.0117 · Cited by 68 · see citing works
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Monod, E., Lissillour, R., Köster, A., & Qi, J. (2022) · Journal of Decision System · doi:10.1080/12460125.2022.2066051 · Cited by 79 · see citing works
“The proposition that AI systems can lead to unintended consequences has been demonstrated in practice (Manyika & Sneader, 2018) and received extensive support in the literature related to the impact of AI (Benbya et al., 2020; Strich et al., 2021).”
BackgroundLeavitt, K., Barnes, C. M., & Shapiro, D. L. (2024) · Academy of Management Review · doi:10.5465/amr.2022.0058 · Cited by 58 · see citing works
Liu, X., & Li, Y. (2025) · Behavioral Sciences · doi:10.3390/bs15020206 · Cited by 58 · see citing works
“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).”
A Review of Artificial Intelligence, Algorithms, and Robots Through the Lens of Stakeholder Theory
Matthews, M. J., Su, R., Yonish, L., McClean, S. T., Koopman, J., & Yam, K. C. (2025) · Journal of Management · doi:10.1177/01492063241311855 · Cited by 43 · see citing works
Monod, E., Mayer, A.-S., Straub, D. W., Joyce, E., & Qi, J.-Y. (2024) · Information and organization · doi:10.1016/j.infoandorg.2023.100498 · Cited by 46 · see citing works
Self-citationGAI identity threat: When and why do individuals feel threatened?
Zhou, J., Lu, Y., & Chen, Q. (2024) · Information & Management · doi:10.1016/j.im.2024.104093 · Cited by 48 · see citing works
Understanding Users’ Acceptance of Artificial Intelligence Applications: A Literature Review
Jiang, P., Niu, W., Wang, Q., Yuan, R., & Chen, K. (2024) · Behavioral Sciences · doi:10.3390/bs14080671 · Cited by 56 · see citing works
“While when AI serves as task substitutes, users tend to resist AI due to the difficulty in AI usage [22], concerns about face loss [84], and feelings of threats to professional identity [83].”
BackgroundInfluentialDisentangling Human-AI Hybrids
Fabri, L., Häckel, B., Oberländer, A., Rieg, M., & Stohr, A. (2023) · Business & Information Systems Engineering · doi:10.1007/s12599-023-00810-1 · Cited by 43 · see citing works
“At the same time, organizations also need to be cognizant of the risks that can arise for human agents when their increased exposure to AI-enabled systems is not managed well, such as conflicts in employee role identity (Strich et al. 2021).”
BackgroundA Framework for Inherently Interpretable Optimization Models
Goerigk, M., & Hartisch, M. (2022) · European Journal of Operational Research · doi:10.48550/arxiv.2208.12570 · Cited by 39
The Human‐ GenAI Value Loop in Human‐Centered Innovation: Beyond the Magical Narrative
Grange, C., Demazure, T., Ringeval, M., Bourdeau, S., & Martineau, C. (2025) · Information Systems Journal · doi:10.1111/isj.12602 · Cited by 44 · see citing works
“…must develop mechanisms to ensure balance, as recent evidence suggests that overreliance on AI can undermine individuals' sense of skills (Strich et al. 2021), stifle creativity and innovation (Rinta-Kahila et al. 2023) or inhibit the intelligence of the group by homogenising its…”
Lee, C., & Cha, K. (2023) · Int. J. Hum. Comput. Stud. · doi:10.2139/ssrn.4191159 · Cited by 38 · see citing works
Putting humans back in the loop: An affordance conceptualization of the 4th industrial revolution
Melville, N. P., Robert, L., & Xiao, X. (2022) · Information Systems Journal · doi:10.1111/isj.12422 · Cited by 51 · see citing works
“These and other challenging tensions suggest a range of research questions, which IS researchers have begun to address (Engelmann & Schwabe, 2018; Mantello et al., 2021; Rehe et al., 2020; Strich et al., 2021; You & Robert, 2022).”
BackgroundInfluentialGenerative mechanisms of AI implementation: A critical realist perspective on predictive maintenance
Stohr, A., Ollig, P., Keller, R., & Rieger, A. (2024) · Information and Organization · doi:10.1016/j.infoandorg.2024.100503 · Cited by 45 · see citing works
“Insecurity can be especially high when these AI-enabled systems are also perceived as being untrustworthy (Thiebes, Lins, & Sunyaev, 2021) or as a challenge to professional roles and identities (Strich et al., 2021).”
BackgroundSturm, T., Pumplun, L., Gerlach, J. P., Kowalczyk, M., & Buxmann, P. (2023) · The Journal of Strategic Information Systems · doi:10.1016/j.jsis.2023.101790 · Cited by 45 · see citing works
Partnering with AI: the case of digital productivity assistants
Cranefield, J., Winikoff, M., Chiu, Y.-T., Li, Y., Doyle, C., & Richter, A. (2022) · Journal of the Royal Society of New Zealand · doi:10.1080/03036758.2022.2114507 · Cited by 42 · see citing works
“Arti fi cial intelligence (AI) is forecast to play a key role in transforming the future of work (Faraj et al. 2018; Strich et al. 2021).”
BackgroundAI-enabled digital identity – inputs for stakeholders and policymakers
Mir, U., Kar, A., & Gupta, M. (2021) · Journal of Science and Technology Policy Management · doi:10.1108/jstpm-09-2020-0134 · Cited by 34 · see citing works
Complement or substitute? How AI increases the demand for human skills
Makela, E., Bone, M., Sehrer, M., Nanji, F., & Stephany, F. (2024) · arXiv.org · doi:10.48550/arxiv.2412.19754 · Cited by 33
An extension of the theory of technology dominance: Capturing the underlying causal complexity
Sutton, S., Arnold, V., & Holt, M. (2023) · International Journal of Accounting Information Systems · doi:10.1016/j.accinf.2023.100626 · Cited by 32 · see citing works
Wulff, K., & Finnestrand, H. O. (2023) · AI & Society · doi:10.1007/s00146-023-01633-0 · Cited by 38 · see citing works
“In a second case, described by Strich et al. (2021), another organization and its CEO were seemingly not involved in how their loan consultants’ new AI-assisted way of working was being designed.”
InfluentialGeneration AI: Job Crafting by Entry-Level Professionals in the Age of Generative AI
Mayer, A., Baygi, R. M., & Buwalda, R. (2025) · Business & Information Systems Engineering · doi:10.1007/s12599-025-00959-x · Cited by 34 · see citing works
“…that the autonomous capabilities of AI technologies are undermining professionals’ expertise (e.g., Lebovitz et al. 2022; Scarbrough et al. 2024; Strich et al. 2021) and even make professionals obsolete (Caz-zaniga et al. 2024), our research shows how GenAI can contribute to the development of…”
Self-citationQuality work in the future: New directions via a co-evolving sociotechnical systems perspective
Parker, S. K., Ballard, T., Billinghurst, M., Collins, C. G., Dollard, M. F., Griffin, M. A., Johal, W., Jorritsma, K., Kowalkiewicz, M., Kyndt, E., et al. (2025) · Australian Journal of Management · doi:10.1177/03128962251331813 · Cited by 37 · see citing works
“Further, the use of AI-based loan systems resulted in lower-skilled employees at banks having greater decision-making autonomy when providing customer loans because of the knowledge this system gave them access to (Strich et al., 2021).”
Liu, Y., Wang, B., & Song, Z. (2024) · International Review of Financial Analysis · doi:10.1016/j.irfa.2024.103872 · Cited by 34 · see citing works
GenAI and me: the hidden work of building and maintaining an augmentative partnership
Boulus-Rødje, N., Cranefield, J., Doyle, C., & Fleron, B. (2024) · Personal and Ubiquitous Computing · doi:10.1007/s00779-024-01810-y · Cited by 30 · see citing works
“However, due to the capabilities of AI in performing and/ or augmenting human work, there is evidence that working with AIS can affect people’s role identity, the way in which workers conceptualise the norms, values, and interactions associated with their role [27, 28].”
InfluentialAI in software programming: understanding emotional responses to GitHub Copilot
Eshraghian, F., Hafezieh, N., Farivar, F., & de Cesare, S. (2024) · Information Technology and People · doi:10.1108/itp-01-2023-0084 · Cited by 31 · see citing works
Artificial Intelligence as an Organizing Capability Arising from Human‐Algorithm Relations
Stelmaszak, M., Joshi, M. P., & Constantiou, I. (2025) · Journal of Management Studies · doi:10.1111/joms.70003 · Cited by 32 · see citing works
Dynamics of user engagement: AI mastery goal and the paradox mindset in AI–employee collaboration
Marvi, R., Foroudi, P., & AmirDadbar, N. (2025) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2025.102908 · Cited by 33 · see citing works
Rick, V., Stebner, M., Drager, L., Franken, A., Mertens, A., & Nitsch, V. (2024) · Zeitschrift für Ernährungswissenschaft · doi:10.1007/s41449-024-00438-1 · Cited by 26 · see citing works
“According to Strich et al. (2021), the effects of the AI-based technologies depends on the user and the type of support provided by the system.”
Khan, S. M. F. A., & Shehawy, Y. M. (2025) · Technologies · doi:10.3390/technologies13080374 · Cited by 28 · see citing works
“However, another issue is how AI affects professional identities in businesses, particularly when it replaces decision-making roles [106].”
Service staff makes me nervous: Exploring the impact of insecure attachment on AI service preference
Deng, S., Zhang, J., Lin, Z., & Li, X. (2023) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2023.122946 · Cited by 26 · see citing works
The Role of AI-Based Artifacts' Voice Capabilities for Agency Attribution
Schmitt, A., Zierau, N., Janson, A., & Leimeister, J. (2023) · Journal of the AIS · doi:10.17705/1jais.00827 · Cited by 24 · see citing works
“To date, HCI research has studied the way that users perceive (Diederich et al., 2022), rely on (Fügener et al., 2022), and adapt their behavior to AI-based artifacts (Strich et al., 2021) but has focused on AI-based artifacts as a rather generic, modality-agnostic system class.”
BackgroundBevilacqua, S., Ferraris, A., Kozel, R., & Vincúrová, Z. (2025) · Business Process Management Journal · doi:10.1108/bpmj-07-2024-0659 · Cited by 24 · see citing works
Ratican, J., & Hutson, J. (2023) · DS Journal of Artificial Intelligence and Robotics · doi:10.59232/air-v1i1p105 · Cited by 23
“Research on emotionally intelligent AI has highlighted the importance of emotions in intelligent behavior and decision-making and has been the topic of increasing interest [10-12].”
BackgroundEmployee frustration with information systems: appraisals and resources
González‐Gómez, H. V., & Hudson, S. A. (2023) · European Management Journal · doi:10.1016/j.emj.2023.03.004 · Cited by 18 · see citing works
Yuwono, E. I., Tjondronegoro, D., Riverola, C., & Loy, J. (2024) · Computers and Education: Artificial Intelligence · doi:10.1016/j.caeai.2024.100272 · Cited by 21 · see citing works
Jo, H., & Park, D.-H. (2025) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2025.124326 · Cited by 23 · see citing works
Will AI-enabled conversational agents acting as digital employees enhance employee job identity?
Wang, W., Hackett, R. D., Archer, N., Xu, Z., & Yuan, Y. (2025) · Information & Management · doi:10.1016/j.im.2025.104099 · Cited by 25 · see citing works
An augmented–depleted framework of AI awareness: Concept expansion and scale development
Gui, C., Zhao, X., Ai, S., Ouyang, X., Deng, A., & Li, M. (2025) · International Journal of Hospitality Management · doi:10.1016/j.ijhm.2025.104164 · Cited by 18 · see citing works
AI and work design: A positive psychology approach to employee well-being
Watermann, L., Kubowitsch, S., & Lermer, E. (2025) · Gruppe. Interaktion. Organisation: Zeitschrift für Angewandte Organisationspsychologie (GIO) · doi:10.1007/s11612-025-00806-3 · Cited by 17 · see citing works
“Strich et al. (2021) highlight how AI can influ-ence employees’ self-understanding and their perceived social roles at work, presenting both opportunities for growth and challenges related to de-skilling and diminished autonomy.”
Yan, B., & Teng, Y. (2025) · Behaviour & Information Technology · doi:10.1080/0144929x.2025.2462267 · Cited by 17 · see citing works
The Political Consequences of Work: An Integrative Review
Selenko, E., Schilbach, M., Brieger, S., van Hootegem, A., & de Witte, H. (2025) · Journal of Management · doi:10.1177/01492063241301337 · Cited by 17 · see citing works
“…job quality by altering the tasks workers perform, enabling less-skilled employees to undertake high-skilled tasks (e.g., Brynjolfsson, Li, & Raymond, 2023), influencing autonomy in decision-making (e.g., Strich, Mayer, & Fiedler 2021), and raising concerns about job and financial security.”
Research on the impact of employee AI identity on employee proactive behavior in AI workplace
Qin, M., Qiu, S., Li, S., & Jiang, Z. (2024) · Industrial Management & Data Systems · doi:10.1108/imds-03-2024-0211 · Cited by 23 · see citing works
Herath, S., Bashardoust, A., Bole, Y., & Shrestha, Y. R. (2026) · European Journal of Information Systems · doi:10.1080/0960085x.2026.2616042 · Cited by 16 · see citing works
“The automation and augmentation capabilities provided by GenAI tools enable workers with varying levels of skill and experience to perform similar tasks more effectively (Strich et al., 2021).”
Mitigating AI-induced professional identity threat and fostering adoption in the workplace
Shonhe, L., & Min, Q.-F. (2025) · Ai & Society · doi:10.1007/s00146-024-02170-0 · Cited by 16 · see citing works
“In the workplace context, professional identity is shaped by affiliation with one’s profession and the skills associated with it (Strich et al. 2021).”
InfluentialArtificial intelligence for decision-making and the future of work
Dennehy, D., Griva, A., Pouloudi, N., Mäntymäki, M., & Pappas, I. O. (2022) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2022.102574 · Cited by 18 · see citing works
Unpacking AI at work: Data work, knowledge work, and values work
van den Broek, E. (2025) · Information and Organization · doi:10.1016/j.infoandorg.2025.100584 · Cited by 17 · see citing works
van den Broek, E., Sergeeva, A., & Huysman, M. (2026) · Journal of Management Studies · doi:10.1111/joms.13276 · Cited by 17 · see citing works
Merfeld, K., Klein, J. F., de Regt, A., Baltin, A.-S., & Henkel, S. (2025) · Journal of Business Research · doi:10.1016/j.jbusres.2025.115236 · Cited by 15 · see citing works
Machine Learning (ML) diffusion in the design process: A study of Norwegian design consultancies
Trocin, C., Stige, Å., & Mikalef, P. (2023) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2023.122724 · Cited by 19 · see citing works
AI-Enhanced Hybrid Decision Management
Bork, D., Ali, S. J., & Dinev, G. (2023) · Business & Information Systems Engineering · doi:10.1007/s12599-023-00790-2 · Cited by 15 · see citing works
“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 15 · see citing works
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 · see citing works
Müller, L., Albrecht, G., Toutaoui, J., Benlian, A., & Cram, W. A. (2024) · European Journal of Information Systems · doi:10.1080/0960085x.2024.2371813 · Cited by 12 · see citing works
“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 · see citing works
“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., Cram, W. A., & Madnick, S. E. (2024) · European Journal of Information Systems · doi:10.1080/0960085x.2024.2345867 · Cited by 11 · see citing works
“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 · see citing works
“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 · see citing works
Li, H., & Li, H. (2025) · Journal of Managerial Psychology · doi:10.1108/jmp-09-2024-0711 · Cited by 10 · see citing works
Mammadov, H., Gándara, Á. R., Abril, L. G., & Romero, I. (2024) · Amfiteatru Economic · doi:10.24818/ea/2024/67/848 · Cited by 16 · see citing works
“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 13 · see citing works
Pieper, M., & Gleasure, R. (2025) · Information Systems Journal · doi:10.1111/isj.12585 · Cited by 15 · see citing works
“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 · see citing works
“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 · see citing works
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 16 · see citing works
“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 · see citing works
“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 10 · see citing works
Self-citationSmith, P., & Smith, L. (2023) · AI and Ethics · doi:10.1007/s43681-023-00388-0 · Cited by 8 · see citing works
“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 & Information Technology · doi:10.1080/0144929x.2025.2596889 · Cited by 7 · see citing works
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 14 · see citing works
Ogawa, N., Okafuji, Y., Hatada, Y., & Baba, J. (2025) · Proc. ACM Hum. Comput. Interact. · doi:10.1145/3757686 · Cited by 7 · see citing works
Hanelt, A., Wiesche, M., Benlian, A., & Hinz, O. F. (2025) · MIS Quarterly · doi:10.25300/misq/2025/18041 · Cited by 12 · see citing works
Yaroglu, A. C. (2024) · Kybernetes · doi:10.1108/k-09-2024-2379 · Cited by 7 · see citing works
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 9 · see citing works
“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 · see citing works
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 · see citing works
“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 · see citing works
Shonhe, L., & Min, Q. (2025) · Aslib Journal of Information Management · doi:10.1108/ajim-08-2024-0673 · Cited by 8 · see citing works
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 · see citing works
“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).”
- 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 › 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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