The DOI matches its Crossref record; 44 of the 44 references it cites were found in a registry or an index.
Generative artificial intelligence as a new context for management theories: analysis of ChatGPT
Open accessAbstract
Purpose: The primary purpose of this paper is to examine how generative Artificial Intelligence (AI) such as ChatGPT may serve as a new context for management theories and concepts. Design/methodology/approach: The paper presents the analyses of selected management theories on decision-making, knowledge management, customer service, human resource management and administrative tasks and explains what may change after generative AI adoption. Findings: The paper indicates that some management theories and concepts need to be studied in the generative AI environment that may influence managerial work at the strategic, functional and administrative levels. Research limitations/implications: This paper is an opinion piece article and does not refer to empirical data. It formulates some conclusions to further empirical research studies. Originality/value: The paper analyzes selected management theories in a new technological setting. The paper also provides information about the functions of generative AI that are useful in understanding and overcoming how new technology may change organizations and management.
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Citations
Cites
Perceived usefulness, perceived ease of use, and user acceptance of information technology
Davis, F. D. (1989) · MIS Quarterly · doi:10.2307/249008 · Cited by 68,483
User Acceptance of Information Technology: Toward A Unified View1
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003) · MIS Quarterly · doi:10.2307/30036540 · Cited by 45,035
Understanding Information Systems Continuance: An Expectation-Confirmation Model1
Bhattacherjee, A. (2001) · MIS Quarterly · doi:10.2307/3250921 · Cited by 8,767 · cited 1×
“This concept explains how customer satisfaction is created and how technology can enhance this satisfaction and how it influences consumer continuance intention toward technology (Bhattacherjee, 2001).”
Wasko, M. M., & Faraj, S. (2005) · MIS Quarterly · doi:10.2307/25148667 · Cited by 3,904
Artificial Intelligence and Management: The Automation–Augmentation Paradox
Raisch, S., & Krakowski, S. (2021) · Academy of Management Review · doi:10.5465/amr.2018.0072 · Cited by 2,755
Managing Knowledge in Organizations: An Integrative Framework and Review of Emerging Themes
Argote, L., McEvily, B., & Reagans, R. (2003) · Management Science · doi:10.1287/mnsc.49.4.571.14424 · Cited by 2,044
ChatGPT: five priorities for research
van Dis, E. A. M., Bollen, J., Zuidema, W., van Rooij, R., & Bockting, C. L. (2023) · Nature · doi:10.1038/d41586-023-00288-7 · Cited by 1,842
How to Sustain the Customer Experience:
Gentile, C., Spiller, N., & Noci, G. (2007) · European Management Journal · doi:10.1016/j.emj.2007.08.005 · Cited by 1,779
Mikalef, P., & Gupta, M. (2021) · Information & Management · doi:10.1016/j.im.2021.103434 · Cited by 1,700
Making Management Decisions: the Role of Intuition and Emotion
Simon, H. A. (1987) · Academy of Management Perspectives · doi:10.5465/ame.1987.4275905 · Cited by 1,185
Cited by
Budhwar, P., Chowdhury, S., Wood, G., Aguinis, H., Bamber, G. J., Beltran, J. R., Boselie, P., Lee Cooke, F., Decker, S., DeNisi, A., et al. (2023) · Human Resource Management Journal · doi:10.1111/1748-8583.12524 · Cited by 908
Ooi, K.-B., Tan, G. W.-H., Al-Emran, M., Al-Sharafi, M. A., Capatina, A., Chakraborty, A., Dwivedi, Y. K., Huang, T.-L., Kar, A. K., Lee, V.-H., et al. (2025) · Journal of Computer Information Systems · doi:10.1080/08874417.2023.2261010 · Cited by 746
Wach, K., Duong, C. D., Ejdys, J., Kazlauskaitė, R., Korzynski, P., Mazurek, G., Paliszkiewicz, J., & Ziemba, E. (2023) · Entrepreneurial Business and Economics Review · doi:10.15678/eber.2023.110201 · Cited by 584
“Lacking regulation of the AI market also raises concerns about the impacts of AI technologies on decision-making and human autonomy (Korzynski et al. , 2023).”
BackgroundMethodSelf-citationKorzynski, P., Mazurek, G., Krzypkowska, P., & Kurasinski, A. (2023) · Entrepreneurial Business and Economics Review · doi:10.15678/eber.2023.110302 · Cited by 235
Self-citationSedkaoui, S., & Benaichouba, R. (2026) · European Journal of Innovation Management · doi:10.1108/ejim-02-2024-0129 · Cited by 142
Metadata
- Authors
- Korzynski, P., Mazurek, G., Altmann, A., Ejdys, J., Kazlauskaite, R., Paliszkiewicz, J., Wach, K., & Ziemba, E.
- Venue
- Central European Management Journal
- Publisher
- Emerald
- Published
- 2023-03-28
- Volume
- 31
- Issue
- 1
- Pages
- 3-13
- ISSN
- 2084-3356 (ISSN-L)
- 2658-2430
- 2658-0845
- OpenAlex
- W4361028617
- Cited by
- 357
- References
- 44
- FWCI
- 31.36
- Type
- journal article
- Language
- en
- Open access
- diamond
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- CoChat. (2026). Citation check: Generative artificial intelligence as a new context for management theories: analysis of ChatGPT. https://app.cochat.ai/papers/10.1108/cemj-02-2023-0091
- The paper
- Korzynski, P., Mazurek, G., Altmann, A., Ejdys, J., Kazlauskaite, R., Paliszkiewicz, J., Wach, K., & Ziemba, E. (2023). Generative artificial intelligence as a new context for management theories: analysis of ChatGPT. Central European Management Journal. https://doi.org/10.1108/cemj-02-2023-0091
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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