Affiliations:
Faculty of Business Administration, Academy of Policy and Development, Hanoi, Vietnam
This study investigates the key organizational factors that influence the development of digital transformation human resources in Vietnamese state-owned enterprises (SOEs). The research is based on an integrated theoretical framework that combines the Resource-Based View, Human Capital Theory, Adaptive Structuration Theory, and innovation culture perspectives. A six-factor model is proposed, including: (i) policies for developing digital transformation human resources, (ii) HR technology infrastructure, (iii) digital skills training and development, (iv) leadership strategy and commitment, (v) digitalized HR processes, and (vi) innovative corporate culture. Data were collected from 326 respondents, including senior executives, HR managers, and employees from 18 large SOEs in key sectors. The analysis was conducted using Cronbach’s alpha, exploratory factor analysis, and multiple regression. The results show that all six factors have a positive effect on digital HR capability. Leadership strategy and commitment have the strongest influence, followed by digital skills training and innovative culture. Digitalized HR processes have the weakest, but still significant, effect. These findings emphasize the importance of strong leadership and continuous capability development for successful digital transformation in SOEs. They also indicate that simply automating HR activities without improving organizational processes and culture may have limited benefits. This study provides empirical evidence from a relatively underexplored context and offers practical policy and managerial implications for supporting digital transformation in state-owned enterprises.
State-owned enterprises, Digital transformation, Human resource development, Digital HR capability, Vietnam
https://doi.org/10.21833/ijaas.2026.03.016
Dam, T. H. (2026). Factors affecting the development of human resources for digital transformation in state-owned enterprises in Vietnam. International Journal of Advanced and Applied Sciences, 13(3), 164–173. https://doi.org/10.21833/ijaas.2026.03.016