FACTORS AFFECTING INBOUND LOGISTICS PERFORMANCE IN A MINING COMPANY

Abstract

The study was conducted to identify factors affecting inbound logistics performance in a mining company. The research data was collected from 200 employees in Masan High-Tech Materials – a big mining company in Thai Nguyen province. The main methods used in this study include exploratory factor analysis (EFA), confirmatory factor analysis (CFA) and structural equation modeling (SEM). The results indicated there were two factors as inbound transportation and employee competency that affected inbound logistics performance. In particular, the inbound transportation factor had a strongly impact on inbound logistics performance. Based on these results, some policy recommendations which focused on inbound transportation and employee competency were proposed for mining companies to improve inbound logistics performance; thereby increasing competitive advantage in the market.