Validating the Measurement Model of AI Anxiety and UTAUT Constructs in Faculty Knowledge Sharing: A PLS-SEM Approach
Year: 2025
Type: article
Study design: Observational Study
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 knowledgesharing 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.
Authors: Guangze Yang, Yoon Fah Lay
Institutions: Universiti of Malaysia Sabah, Xianyang Normal University
Language: English
Subfield: Information Systems and Management
Field: Decision Sciences
Domain: Social Sciences
SDG: Quality education
Open Access status: diamond
OpenAlex ID: W4409205594
