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https://doi.org/10.4...arrow_drop_down
https://doi.org/10.4018/406052...
Part of book or chapter of book . 2026 . Peer-reviewed
Data sources: Crossref
UQ eSpace
Part of book or chapter of book . 2026
Data sources: UQ eSpace
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Is UTAUT2 Overdue for Reassessment?

The Evolving Role of Digital Leadership in Adopting Generative AI
Authors: Mahdis Smith; Luke Houghton; Carla Riverola; Ali Intezari Harsini;

Is UTAUT2 Overdue for Reassessment?

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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Keywords

46 Information and Computing Sciences, 3503 Business systems in context, 35 Commerce, Management, Tourism and Services

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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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