Developing a Conceptual Framework UTAUT-TTF-TOE Model to Examine AI’s Influence on HR Performance in Higher Education

Luomou, Singha Chaveesuk (), Wornchanok Chaiyasoonthorn and Nayika Kamales
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Luomou: King Mongkut’s Institute of Technology Ladkrabang, KMITL Business School
Singha Chaveesuk: King Mongkut’s Institute of Technology Ladkrabang, KMITL Business School
Wornchanok Chaiyasoonthorn: King Mongkut’s Institute of Technology Ladkrabang, KMITL Business School
Nayika Kamales: King Mongkut’s Institute of Technology Ladkrabang, KMITL Business School

A chapter in Entrepreneurship and Human-Centric Business Strategies for Social and Economic Resilience, 2026, pp 2003-2020 from Springer

Abstract: Abstract The swift advancement of artificial intelligence (AI) is exerting a profound influence on the operational paradigm of higher education, yet the degree of its implementation exhibits substantial disparities among institutions. Presently, there is a dearth of systematic research on the moderating mechanisms of AI adoption intensity on organizational performance. This research integrates the Unified Theory of Acceptance and Use of Technology (UTAUT), task-technology fit (TTF), and the technology-organization-environment (TOE) framework to formulate a comprehensive model for exploring the mechanisms through which AI impacts human resource performance in universities. The research centers on analyzing how technological, organizational, and environmental factors interact to affect AI adoption, specifically investigating the moderating function of adoption intensity in this relationship. This research endeavors to uncover the specific pathways and boundary conditions for AI to improve university management efficiency.

Keywords: Artificial intelligence; Higher education; UTAUT-TTF-TOE integrated model; Adoption intensity (search for similar items in EconPapers)
Date: 2026
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Persistent link: https://EconPapers.repec.org/RePEc:spr:prbchp:978-981-95-6415-6_125

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DOI: 10.1007/978-981-95-6415-6_125

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