Validating the Measurement Model of AI Anxiety and UTAUT Constructs in Faculty Knowledge Sharing: A PLS-SEM Approach

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

Publication Details

Journal
International Journal of Academic Research in Progressive Education and Development
Published
2025-04-06
DOI
https://doi.org/10.6007/ijarped/v14-i2/25144
Primary Topic
Organizational and Employee Performance
Type
article
Field-Weighted Citation Impact
0.00
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article

Validating the Measurement Model of AI Anxiety and UTAUT Constructs in Faculty Knowledge Sharing: A PLS-SEM Approach

Yoon Fah Lay, Gang Yang
International Journal of Academic Research in Progressive Education and Development
Organizational and Employee Performance
article

Validating the Measurement Model of AI Anxiety and UTAUT Constructs in Faculty Knowledge Sharing: A PLS-SEM Approach

Yoon Fah Lay, Gang Yang
article en

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.

International Journal of Academic Research in Progressive Education and DevelopmentVol. 14(2)
Openalex Percentile: Top 97%
Organizational and Employee Performance
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Validating the Measurement Model of AI Anxiety and UTAUT Constructs in Faculty Knowledge Sharing: A PLS-SEM Approach — Yoon Fah Lay, Gang Yang · International Journal of Academic Research in Progressive Education and Development (2025) | TGRS Research Map | TGRS