The Impact of Employee Training on Sustainable Warehouse Management Efficiency in Nakhon Pathom Province

Authors

DOI:

https://doi.org/10.60027/iarj.2026.e289909

Keywords:

Employee Training, Sustainable Warehouse, Logistics Management, Operational Efficiency

Abstract

Background and Aims: Warehouses play a critical role in enhancing the efficiency of supply chains, especially in the context of sustainability, where organizations must optimize processes to be environmentally friendly, minimize waste, and improve resource utilization. Nakhon Pathom province serves as a central logistics hub for retail and industrial sectors, but is facing challenges such as skilled labor shortages and high employee turnover. This study aims to 1) examine employee training practices in sustainable warehouse management in Nakhon Pathom, 2) assess the efficiency of sustainable warehouse operations, and 3) analyze the impact of employee training on warehouse management efficiency in the province.

Methodology: This quantitative research employed a questionnaire distributed to 400 warehouse employees in Nakhon Pathom. calculated using the formula of Cochran (1977). Data were analyzed using descriptive statistics (mean and standard deviation) and inferential statistics, including Pearson correlation coefficients and multiple regression analysis. The independent variables included three types of training: technical training (TT), safety and environmental training (SE), and management and behavioral training (MB), measured against three dimensions of warehouse efficiency: economic, environmental, and social.

Results: The results revealed that overall training was rated at a high level, with management and behavioral training receiving the highest mean score (x̄ = 4.53). Overall warehouse efficiency was also rated high (x̄ = 4.10), with social efficiency scoring the highest (x̄ = 4.56). Pearson correlation analysis showed statistically significant relationships between all types of training and each dimension of efficiency, with MB having the strongest correlation with social efficiency (r = 0.89). The multiple regression model indicated that the three training dimensions collectively explained 65.6% of the variance in warehouse efficiency (R² = 0.656), with MB exerting the greatest influence (β = 0.49, p < 0.05).

Conclusion: Employee training, particularly in management and organizational behavior, significantly enhances sustainable warehouse performance across economic, environmental, and social dimensions. Training programs should adopt an integrated approach aligned with organizational strategies, emphasizing the development of soft skills such as leadership, communication, and teamwork to drive behavioral change and long-term sustainable outcomes.

References

กนกวรรณ สกุลทรงเดช, วทัญญู สุวรรณเศรษฐ, & ปรัชนันท์ เจริญอาภรณ์วัฒนา. (2565). แบบจำลองการวิเคราะห์ความจำเป็นในการพัฒนาทักษะทางสังคมของผู้ปฏิบัติงานโลจิสติกส์ในแผนกคลังสินค้าในบริษัทในท่าเรือแหลมฉบัง. วารสารเครือข่ายส่งเสริมการวิจัยทางมนุษยศาสตร์และสังคมศาสตร์, 5(2), 17–34.

กัลยา วานิชย์บัญชา. (2561). สถิติสำหรับงานวิจัย (พิมพ์ครั้งที่ 12). กรุงเทพฯ: ศูนย์หนังสือแห่งจุฬาลงกรณ์มหาวิทยาลัย.

บุญชม ศรีสะอาด. (2560). การวิจัยเบื้องต้น (พิมพ์ครั้งที่ 10). กรุงเทพฯ: สุวีริยาสาส์น.

ศูนย์ราชการจังหวัดนครปฐม. (2567). บรรยายสรุปจังหวัดนครปฐม ประจำปี 2567. สำนักงานจังหวัดนครปฐม.

สำนักงานพัฒนาการเศรษฐกิจและสังคมแห่งชาติ. (2567). รายงานโลจิสติกส์ของประเทศไทย ประจำปี 2566. กระทรวงพาณิชย์.

Ahmed, M. D., & Sundaram, D. (2008). Sustainable warehouse management modelling. In 21st Annual Conference of the International Conference on Industrial Engineering and Engineering Management. Retrieved from https://www.researchgate.net/publication/228784511_Sustainable_Enterprise_Modelling_and_Simulation_in_a_Warehousing_Context

Ali, S. S., Kaur, R., & Khan, S. (2023). Evaluating sustainability initiatives in warehouse for measuring sustainability performance: An emerging economy perspective. Annals of Operations Research, 324(1), 461–500. https://doi.org/10.1007/s10479-021-04454-w

Cochran, W. G. (1977). Sampling techniques (3rd ed.). John Wiley & Sons.

Cronbach, L. J. (1977). Essentials of psychological testing (5th ed.). Harper & Row.

Falkenberg, S. F., & Spinler, S. (2023). Integrating operational and human factors to predict daily productivity of warehouse employees using extreme gradient boosting. International Journal of Production Research, 61(24), 8654–8673. https://doi.org/10.1080/00207543.2023.2186439

Field, A. (2018). Discovering statistics using IBM SPSS statistics (5th ed.). SAGE Publications.

Gruchmann, T., Mies, A., Neukirchen, T., & Gold, S. (2021). Tensions in sustainable warehousing: Including the blue-collar perspective on automation and ergonomic workplace design. Journal of Business Economics, 91(3), 145–165. https://doi.org/10.1007/s11573-020-00991-1

Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2019). Multivariate data analysis (8th ed.). Cengage Learning.

Indrawati, S., & Miranda, S. (2018). Model of warehouse performance measurement based on sustainable warehouse design. In Proceedings of the 4th International Conference on Industrial Engineering and Operations Management (IEOM).

Kihel, Y. E. (2022). Digital transition methodology of a warehouse in the concept of sustainable development with an industrial case study. Sustainability, 14(22), Article 15098. https://doi.org/10.3390/su142215098

Kowssarie, S., & Mansour, S. (2023, May 19). Employee turnover in warehouses: Exploring the role of internal marketing strategies in consulting firms (Bachelor’s thesis, Jönköping University, Sweden). DiVA–Academic Archive On-line. Retrieved from https://www.diva-portal.org/smash/get/diva2:1762298/FULLTEXT01.pdf

Kumar, V., & Adil, G. K. (2024). Sustainable warehouse management: A literature review and future research agenda. Management Research Review, 48(3), 358–382. https://doi.org/10.1108/MRR-03-2024-0226

Li, Y., Zhang, M., Liu, Y., & Fan, D. (2023). Supply chain risk management strategies in the digital era. Journal of Operations Management, 69(4), 225–242. https://doi.org/10.1016/j.jom.2023.100933

Minashkina, D. (2024). How to use warehouse management system sustainably. LUT University.

Phunlarp, U., Thriyawanich, C., & Yimcharoenpornsakul, N. (2025). Approaches to enhance picking efficiency through warehouse management system (WMS) and process improvement: A case study of a coconut product distribution company. Interdisciplinary Academic and Research Journal, 5(2), 721–736. https://doi.org/10.60027/iarj.2025.282256

Rovinelli, R. J., & Hambleton, R. K. (1977). On the use of content specialists in the assessment of criterion-referenced test item validity. Dutch Journal of Educational Research, 2, 49–60.

Sunday, M. (2024). Exploring successful employee retention strategies in the distribution warehouse industry (Doctoral dissertation). Walden University. ProQuest Dissertations & Theses Global.

Tare, A. M. (2022). Thinking outside the box: The potential of management training for reducing turnover in warehouse/distribution environments. CONCEPT, 2022. https://www.neaeaconceptjournal.org/pdfs/Tare_2022.pdf

Veerasamy, U., Joseph, M. S., & Parayitam, S. (2024). Green human resource management and employee green behaviour: Participation and involvement, and training and development as moderators. South Asian Journal of Human Resources Management, 11(2), 277–309. https://doi.org/10.1177/23220937231168400

Downloads

Published

2026-03-14

How to Cite

Munkongtum, C. ., Kotrsonghram, S. ., Akaraphisitwong, S. ., & Choksuntasut, K. . (2026). The Impact of Employee Training on Sustainable Warehouse Management Efficiency in Nakhon Pathom Province. Interdisciplinary Academic and Research Journal, 6(2), e289909 . https://doi.org/10.60027/iarj.2026.e289909

Issue

Section

Articles