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The academic industry’s response to generative artificial intelligence: An institutional analysis of large language models

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  • Kshetri, Nir

Abstract

This paper examines academic institutions' heterogeneous initial responses to generative AI (GAI) tools like ChatGPT and factors influencing increased acceptance over time. GAI's disruptive nature coupled with uncertainty about impacts poses adoption challenges. However, external pressures from stakeholders seeking GAI integration contribute to changing attitudes. Actions of institutional change agents also drive growing acceptance by increasing awareness of GAI advantages. They challenge prevailing logics emphasizing assessments, proposing new values around employability and job performance. Additionally, academic institutions reevaluating GAI's value creation potential through applications and evolving business models contributes to favorable responses. The paper proposes an institutional theory framework explaining dynamics underpinning academic institutions' assimilation of GAI. It highlights how various mechanisms like external pressures, institutional entrepreneurs' theorization efforts justifying technology use, and internal sensemaking shape institutional norms and values, enabling academic systems' adaptation. The study informs policy and practice while directing future research toward validating propositions empirically and examining contextual dimensions including industry characteristics affecting GAI adoption.

Suggested Citation

  • Kshetri, Nir, 2024. "The academic industry’s response to generative artificial intelligence: An institutional analysis of large language models," Telecommunications Policy, Elsevier, vol. 48(5).
    • Handle: RePEc:eee:telpol:v:48:y:2024:i:5:s0308596124000570
    DOI: 10.1016/j.telpol.2024.102760
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    References listed on IDEAS

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    1. Georg Götz, 1999. "Monopolistic Competition and the Diffusion of New Technology," RAND Journal of Economics, The RAND Corporation, vol. 30(4), pages 679-693, Winter.
    2. Theresa K. Lant & Stephen J. Mezias, 1992. "An Organizational Learning Model of Convergence and Reorientation," Organization Science, INFORMS, vol. 3(1), pages 47-71, February.
    3. Paul Chwelos & Izak Benbasat & Albert S. Dexter, 2001. "Research Report: Empirical Test of an EDI Adoption Model," Information Systems Research, INFORMS, vol. 12(3), pages 304-321, September.
    4. David J. Teece, 2007. "Explicating dynamic capabilities: the nature and microfoundations of (sustainable) enterprise performance," Strategic Management Journal, Wiley Blackwell, vol. 28(13), pages 1319-1350, December.
    5. Rahul Kapoor & Thomas Klueter, 2021. "Unbundling and Managing Uncertainty Surrounding Emerging Technologies," Strategy Science, INFORMS, vol. 6(1), pages 62-74, March.
    6. Howell, Bronwyn E. & Potgieter, Petrus H., 2023. "What do telecommunications policy academics have to fear from GPT-3?," 32nd European Regional ITS Conference, Madrid 2023: Realising the digital decade in the European Union – Easier said than done? 277972, International Telecommunications Society (ITS).
    7. Howell, Bronwyn E. & Potgieter, Petrus H., 2023. "What do telecommunications policy academics have to fear from GPT-3?," Telecommunications Policy, Elsevier, vol. 47(7).
    8. Kathleen M. Eisenhardt, 1985. "Control: Organizational and Economic Approaches," Management Science, INFORMS, vol. 31(2), pages 134-149, February.
    9. Ruby Roy Dholakia & Nir Kshetri, 2004. "Factors Impacting the Adoption of the Internet among SMEs," Small Business Economics, Springer, vol. 23(4), pages 311-322, November.
    10. Kshetri, Nir, 2013. "Privacy and security issues in cloud computing: The role of institutions and institutional evolution," Telecommunications Policy, Elsevier, vol. 37(4), pages 372-386.
    11. Kshetri, Nir, 2020. "The evolution of cyber-insurance industry and market: An institutional analysis," Telecommunications Policy, Elsevier, vol. 44(8).
    Full references (including those not matched with items on IDEAS)

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