The Use of Digital Logistics Technology Affecting the Efficiency of Electric Vehicle Management in Showrooms in Nonthaburi Province
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Abstract
This study aimed to (1) examine the level of digital logistics technology utilization in inventory operations, vehicle tracking, and delivery processes of electric vehicle showrooms in Nonthaburi Province, and (2) analyze the statistical relationship between digital logistics technology utilization and operational management efficiency in terms of inventory control, transportation, and delivery performance. A mixed methods research design was employed based on the concepts of Logistics 4.0, supply chain management, and the Technology Acceptance Model (TAM) as the conceptual framework. The research area comprised electric vehicle showrooms located in Nonthaburi Province. The sample consisted of 108 executives and operational staff responsible for logistics, inventory, and vehicle delivery functions, selected through purposive sampling. Research instruments included (1) a structured questionnaire, (2) in-depth interview protocols, and (3) a focus group discussion guide. Quantitative data were analyzed using descriptive and inferential statistics, including mean, standard deviation, and Pearson’s correlation coefficient. Qualitative data were analyzed through content analysis and descriptive interpretation.
The findings indicated that the overall level of digital logistics technology utilization was high
( = 4.07, SD = 0.59), with digital inventory management systems demonstrating the highest level of adoption. Digital logistics technology utilization showed a strong positive relationship with operational management efficiency (r = .72, p < .01), with digital inventory management systems exhibiting the strongest correlation (r = .75, p < .01).
Qualitative findings revealed that real-time inventory and vehicle tracking systems contributed to reduced data errors and shorter delivery times. However, the adoption of advanced analytics and artificial intelligence systems remained limited due to staff competency gaps and challenges in data integration.
The knowledge generated from this study provides practical guidelines for developing digital logistics systems in electric vehicle showroom businesses and proposes a managerial framework for enhancing high-value asset management in area-based electric vehicle operations.
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