The Relationships between Big Data Analytics Application, Logistics Performance and Firm Performance
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Abstract
This study investigates the impact of big data analytics (BDA) application on logistics performance and firm performance within the framework of the resource-based view (RBV). BDA was examined through four key dimensions: descriptive, diagnostic, predictive, and prescriptive analytics. The research employed a census approach, targeting 240 logistics and transportation businesses registered with the Thai Transportation and Logistics Association. A total of 116 completed responses were used in the analysis, achieving a usable response rate of 52.5%. Data were analyzed using multiple regression analysis to test the hypothesized relationships. The results reveal that all four dimensions of BDA significantly enhance logistics performance. However, BDA does not have a statistically significant direct effect on firm performance. Instead, its influence is exerted indirectly through logistics performance, confirming its mediating role. These findings contribute to the theoretical understanding of BDA as an enabler of operational excellence, offering practical insights for managers seeking to leverage data capabilities to enhance logistics functions and overall competitiveness.
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