Green Logistics and Supply Chain Management Affecting Performance Outcomes of Thai Automotive Industry

Abstract

The purpose of this research was to study the factors affecting the variable performance outcomes of Thai automotive industry. The study used quantitative research method. The questionnaires were used to collect data from 400 samples who were managers of companies in Thai automotive industry. The data analysis included descriptive statistics, correlations and path analysis. According to the analysis, it was found from the results that the factors with the highest means were supply chain management, reverse logistics, green logistics and green manufacturing, respectively. In addition, it was found that all factors affected the performance outcomes of Thai automotive industry with statistical significance. It was found that path coefficient of green manufacturing was the highest, followed by reverse logistics, supply chain management and green logistics, respectively. The path model could explain the performance outcomes with 58 percent (R² = 0.58). Other than that, it was affected by other factors. Therefore, Thai automotive industry should cooperate with both the government and private sectors to promote environmental operations that reduce waste emission, and recycle or reuse raw materials for sustainable operations.