Validating the measurement model of ai anxiety and UTAUT constructs in faculty knowledge sharing: A PLS-SEM approach

Guangze Yang and Lay, Yoon Fah (2025) Validating the measurement model of ai anxiety and UTAUT constructs in faculty knowledge sharing: A PLS-SEM approach. International Journal of Academic Research in Progressive Education and Development, 14. pp. 152-170. ISSN 2226-6348

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Abstract

This pilot study validates the measurement model of AI Anxiety and Unified Theory of Acceptance and Use of Technology (UTAUT) constructs in the context of faculty knowledge-sharing in virtual academic communities. Utilizing Partial Least Squares Structural Equation Modeling (PLS-SEM), the study assesses the reliability, validity, and factor structure of the adapted scale, rather than conducting a full structural path analysis. Based on a sample of Chinese university faculty members, the results confirm the psychometric robustness of the proposed model, demonstrating high internal consistency, convergent validity, and discriminant validity. The validated scale establishes a solid foundation for future large-scale studies on the role of AI Anxiety in faculty digital engagement. Further research should expand the validation across different cultural contexts and employ full structural path analyses to explore the relationships among AI Anxiety, UTAUT constructs, and faculty technology adoption.

Item Type:	Article
Subjects:	B Philosophy. Psychology. Religion > BF Psychology > BF1-990 Psychology Q Science > QA Mathematics > QA1-939 Mathematics > QA71-90 Instruments and machines > QA75.5-76.95 Electronic computers. Computer science
Department:	FACULTY > Faculty of Education and Sport Studies
Depositing User:	SITI AZIZAH BINTI IDRIS -
Date Deposited:	05 Aug 2025 09:47
Last Modified:	05 Aug 2025 09:47
URI:	https://eprints.ums.edu.my/id/eprint/44747

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