Author(s): Sukanya Duanguppama, Parina Maeya Andersson
The objective of this research was to study the impact of compensation management on the productivity of the industrial business productivity of automotive and components in Thailand. The research sample group consisted of 350 business executives in the industrial business of automotive and components in Thailand. The stratified sampling method was conducted and the data was collected data from the questionnaires for statistical analysis including the mean, standard deviation, regression coefficient correlation analysis, composition analysis, and causal relationship analysis on structural equation model. The results showed that the business executives had the opinions on the compensation management and productivity at the high level. The results of the regression coefficient correlation analysis revealed that the compensation management had positive impact on overall business productivity at the statistical significance of 0.05 levels. The research model was consistent with the evidence data with statistical significance at the 0.05 level. Besides, the causal relationship of the structural equation model was in harmony with the empirical data. Therefore, in order to preserve the valuable human resources of an organization, motivational compensation should be managed. These will lead to the sustainable productivity of the industrial business in the future.