Worapapha Mahasumran, Suwatthana Thepchit, Preeda Attavinijtrakarn, Chaiwichit Chianchana
The purpose of this research was to study the factors of human resource management based on digital technology of Thai automotive parts manufacturers. The research was conducted by using mixed qualitative and quantitative research approach including the integrated survey model and the exploratory sequential design, along with a semi-structured form for in-depth interviews and a 5-level Likert scale questionnaire. The descriptive data analysis and the exploratory factor analysis were developed by using SPSS. The research results showed that there were 8 factors of human resource management based on digital technology of Thai automotive parts manufacturers. First factor was Digital HRD & Learning consisting of 20 observable variables, the weight of the composition between 0.586-0.799. Second factor was Efficiency of Digital HR in Automotive Parts Industry consisting of 16 observable variables, and a weight of composition between 0.636-0.777. Third factor was Digital PMS consisting of 9 observable variables, with a weight of composition between 0.524-0.676. The 4th factor was Digital Recruitment & Selection consisting of 8 observable variables, with a weight of the composition between 0.533-0.775. The 5th factor was Digital Compensation & Rewarding consisting of 6 observable variables, with a weight of the composition between 0.526-0.617. The 6th factor was Job Interview on Mobile Application consisting of 5 observable variables, with a weight of the composition between 0.567-0.720. The 7th factor was Workforce Analytics consisting of 5 observable variables, with a weight of the composition between 0.511-0.620. And finally, the 8th factor was Performance Analytics consisting of 2 observable variables, with a weight of the composition between 0.547-0.550.