ATTITUDES TOWARDS ARTIFICIAL INTELLIGENCE IN HUMAN RESOURCES MANAGEMENT IN VIETNAM

Dam Tuan Anh Le; Opas Piansoongnern

ผู้แต่ง

Dam Tuan Anh Le The Graduate School, Stamford International University, Bangkok, Thailand
Opas Piansoongnern The Graduate School, Stamford International University, Bangkok, Thailand

คำสำคัญ:

Attitude, Artificial Intelligence, Human Resource Management

บทคัดย่อ

This study examines attitudes toward AI adoption in Human Resource Management (HRM) in Vietnam, using a hierarchical framework that extends the Technology Acceptance Model. Analyzing data from 458 HR professionals, we investigate how technology acceptance factors, organizational enablers, and adoption barriers sequentially influence intentions to adopt AI. Our hierarchical analysis reveals these three levels explain 47.4%, 20.9%, and 7.3% of variance, respectively (75.7% total). In Vietnam's cultural context, perceived ease of use (β = 0.20) exerts a stronger influence than perceived usefulness (β = 0.16). AI knowledge and skills emerge as the strongest positive predictor (β = 0.21), while ethical concerns constitute the primary barrier (β = -0.14). Segmentation analysis reveals distinct patterns: small organizations prioritize utilitarian benefits while expressing ethical concerns; medium organizations emphasize implementation simplicity and worry about job displacement; large organizations balance multiple factors with particular concern for data privacy. These findings highlight the hierarchical nature of adoption factors in emerging economies and propose an implementation framework tailored to Vietnam's cultural environment.

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