Servant Leadership and Digital Transformation as Drivers of Faculty AI Adoption in Higher Education
| dc.contributor | Universiti Sains Malaysia | |
| dc.contributor.author | Kee, Daisy Mui Hung | |
| dc.date.accessioned | 2026-08-10T01:20:24Z | |
| dc.date.available | 2026-08-10T01:20:24Z | |
| dc.description | Purpose – This paper investigates how servant leadership and organizational digital transformation (DT) influence faculty members’ intention to adopt artificial intelligence (AI) and the quality of faculty-AI collaboration in higher education. Anchored in the Industry 5.0 paradigm, this paper integrates Social Cognitive Theory and the Job Demands-Resources (JD-R) theory to explain the psychological mechanisms driving AI adoption. | |
| dc.identifier.uri | https://opendata.usm.my/handle/123456789/74740 | |
| dc.language.iso | en_US | |
| dc.relation.title | Dataset | |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | |
| dc.subject | Servant leadership | |
| dc.subject | Digital transformation | |
| dc.subject | Artificial intelligence adoption | |
| dc.subject | Work engagement | |
| dc.subject | Technological self-efficacy | |
| dc.subject | Higher education | |
| dc.title | Servant Leadership and Digital Transformation as Drivers of Faculty AI Adoption in Higher Education | |
| dc.type | Dataset |
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