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

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dc.contributor.authorLuomou
dc.contributor.authorChaveesuk, Singha
dc.contributor.authorChaiyasoonthorn, Wornchanok
dc.contributor.authorKamales, Nayika
dc.date.accessioned2026-08-06T10:53:29Z
dc.date.available2026-08-06T10:53:29Z
dc.date.issued2026-01-01
dc.description.abstractThe 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.
dc.identifier.citationSpringer Proceedings in Business and Economics, 8, 2003-2020, 2026
dc.identifier.doi10.1007/978-981-95-6415-6_125
dc.identifier.issn21987246
dc.identifier.other2-s2.0-105042780445
dc.identifier.urihttps://dspace.kmitl.ac.th/handle/123456789/17580
dc.sourceSpringer Proceedings in Business and Economics
dc.subjectAdoption intensity
dc.subjectArtificial intelligence
dc.subjectHigher education
dc.subjectUTAUT-TTF-TOE integrated model
dc.titleDeveloping a Conceptual Framework UTAUT-TTF-TOE Model to Examine AI’s Influence on HR Performance in Higher Education
dc.typeConference Paper

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