The Relationship Between Green Warehouse Management Strategies and Operational Performance in Thai Industry
Main Article Content
Abstract
This research article aims to 1) examine the level of implementation of green warehouse management strategies in the Thai industrial sector, 2) analyze the relationship between these strategies and operational performance, and 3) propose development guidelines appropriate to the Thai context. A mixed methods approach was employed, combining quantitative data collected from 395 warehouse executives with qualitative data obtained through in-depth interviews and focus group discussions with experts. Data were analyzed using descriptive statistics, correlation analysis, and multiple regression analysis. The findings revealed that the overall implementation of green warehouse strategies in Thailand was at a moderate level, with higher adoption of storage optimization and automation technologies. All five strategies demonstrated statistically significant positive relationships with various dimensions of operational performance. Notably, automation and renewable energy strategies had the greatest influence, contributing to cost reduction, efficient storage, and sustainable resource utilization. The study recommends development efforts at three levels: at the organizational level, companies should develop a Green Warehouse Roadmap; at the industry level, a collaborative Green Warehouse Network should be established; and at the governmental level, a national Thai Green Warehouse Standard should be implemented along with clear and concrete policy support. The knowledge generated from this research can be applied to enhance the efficiency and sustainability of warehouse operations in Thailand in the long term.
Article Details
References
กรมพัฒนาธุรกิจการค้า. (2567). สถิติการจดทะเบียนธุรกิจประจำปี 2567. เรียกใช้เมื่อ 21 มิถุนายน 2568 จาก https://www.dbd.go.th
Abhilash, D., Maheswari, U., Kakarla, R. R., Aminabhavi, T. M., et al. (2025). Recycling strategies for renewable graphite and other carbon nanomaterials from used batteries: A review. Journal of Cleaner Production. 493(1), 144871.
Bartholdi, J. J., III, & Hackman, S. T. (2019). Warehouse & distribution science (Release 0.98.1). Georgia Institute of Technology. The Supply Chain & Logistics Institute.
Bensaha, A., et al. (2025). Integration opportunities, energy and financial profitability of photovoltaic systems in dry and hot climates. Energy and Built Environment.
Best, J. W. (1977). Research in education. 3rd ed.. Prentice Hall.
Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Lawrence Erlbaum Associates.
Creswell, J. W., & Plano Clark, V. L. (2018). Designing and conducting mixed methods research. 3rd ed.. SAGE Publications.
Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika. 16(3), 297–334.
Krippendorff, K. (2018). Content analysis: An introduction to its methodology. 4th ed.. SAGE Publications.
Likert, R. (1932). A technique for the measurement of attitudes. Archives of Psychology. 22(140), 1–55.
Richards, G. (2021). Warehouse management: A complete guide to improving efficiency and minimizing costs in the modern warehouse. Kogan Page.
Rovinelli, R. J., & Hambleton, R. K. (1977). On the use of content specialists in the assessment of criterion-referenced test item validity. Educational and Psychological Measurement. 37(4), 753–765.
Sheffi, Y. (2018). Balancing green: When to embrace sustainability in a business (and when not to). MIT Press.
Yamane, T. (1967). Statistics: An introductory analysis. 2nd ed.. Harper and Row.