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Is UTAUT2 Overdue for Reassessment?: The Evolving Role of Digital Leadership in Adopting Generative AI

Is UTAUT2 Overdue for Reassessment?: The Evolving Role of Digital Leadership in Adopting Generative AI
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Author(s): Mahdis Smith (Griffith University, Australia), Luke Houghton (Griffith University, Australia), Carla Riverola (Griffith University, Australia)and Ali Intezari Harsini (University of Queensland, Australia)
Copyright: 2027
Pages: 24
Source title: Encyclopedia of Modern Artificial Intelligence
Source Author(s)/Editor(s): Mehdi Khosrow-Pour, D.B.A. (Founding Editor-in-Chief, Information Resources Management Journal (IRMJ), USA)
DOI: 10.4018/406052

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Abstract

The accessibility and cost-efficiency of Artificial Intelligence (AI) tools, particularly Generative AI (GenAI), have led to a significant increase in organizational AI adoption. However, only a small percentage of these organizational adoptions are preplanned and strategically integrated into long-term objectives. As a result, this self-directed adoption of GenAI by knowledge workers is prompting a re-evaluation of digital leadership strategies and technology acceptance models. The UTAUT and its extension, UTAUT2, have been regarded as resourceful frameworks for understanding technology use and acceptance. Nevertheless, the rise of GenAI necessitates extending UTAUT2 to remain relevant in today's digital governance landscape. This article reports on empirical findings that qualitatively explored the question: To what extent do the legacy frameworks of UTAUT and UTAUT2 offer scalable measures for assessing organizational GenAI adoption among leaders and knowledge workers in Australia?

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