A Study on Fast-Moving IT Products: An Improvement of Inter-Departmental Lead Times for VST ECS
DOI:
https://doi.org/10.5281/zenodo.23599748Keywords:
inter-departmental lead times, operational efficiency, fast-moving IT products, ICT distribution, inventory management, product movementAbstract
The rapidly evolving Information and Communications Technology (ICT) distribution industry requires efficient internal coordination to meet customer demands and ensure timely product delivery. This study aims to examine the influence of inter-departmental lead times on the operational efficiency of handling fast-moving IT products at VST ECS Phils., Inc. Specifically, it focuses on the Sales, Purchasing, Warehouse Operations, and Distribution departments, investigating how demand variability for mobile phones, laptops, desktops, and monitors affects internal workflows and processing times. Employing a quantitative descriptive-correlational research design, the study will gather data through structured survey questionnaires administered to employees of VST ECS and selected ICT distributors in Pasig City. Statistical methods, including frequency distribution, weighted mean, Pearson correlation, and regression analysis, will be utilized to examine relationships among demand variability, inter-departmental lead times, and operational performance. Furthermore, the study seeks to identify common sources of processing delays and determine their implications for product movement, inventory availability, order fulfillment, and organizational efficiency. By assessing coordination practices and operational challenges across departments, the research aims to establish a clearer understanding of factors contributing to workflow inefficiencies within the ICT distribution sector. The anticipated findings will serve as a basis for developing practical recommendations to streamline internal processes, strengthen inter-departmental communication, improve inventory management, and enhance order fulfillment performance. Ultimately, this study seeks to contribute to more responsive, coordinated, and efficient supply chain operations at VST ECS Phils., Inc., while providing valuable insights for improving operational management practices among ICT distributors in the Philippines.
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References
Adams, R., & Lewis, T. (2025). Real-time inventory systems and operational efficiency in high-volume distribution environments. International Journal of Supply Chain Management, 14(1), 44–58.
Ali, M., Khan, R., & Hussain, S. (2024). Digital supply chain systems and inventory visibility in technology distribution firms. Journal of Operations and Digital Transformation, 11(2), 90–108.
Alzoubi, H. M., Alshurideh, M. T., Kurdi, B. A., & Salloum, S. A. (2023). Digital procurement and supply chain performance: The role of cross-functional collaboration and information integration. Sustainability, 15(8), Article 6734. https://doi.org/10.3390/su15086734
Arif, M., Ali, S., & Khan, T. (2024). Blockchain-enabled transparency and lead time reduction in supply chain operations. International Journal of Logistics Research and Applications, 27(3), 201–219.
Bag, S., Gupta, S., & Kumar, A. (2022a). Logistics capability, distribution performance, and organizational competitiveness: Evidence from manufacturing firms. The International Journal of Logistics Management, 33(4), 1483–1504.
Bag, S., Gupta, S., & Kumar, A. (2022b). Warehouse management practices and operational performance: The role of inventory accuracy and logistics capability. The International Journal of Logistics Management, 33(4), 1461–1482.
Bag, S., Gupta, S., & Kumar, A. (2023). Procurement practices, supply chain resilience, and operational performance: Evidence from manufacturing organizations. Operations Management Research, 16(2), 614–629.
Baryannis, G., Dani, S., & Antoniou, G. (2021). Predictive analytics and artificial intelligence in supply chain management. Computers & Industrial Engineering, 137, Article 106024.
Chen, L., & Lee, H. (2023). Internal coordination and operational delays in warehouse management systems. Journal of Supply Chain Operations, 18(4), 112–129.
Choi, S.-B., Dey, B. K., Kim, S. J., & Sarkar, B. (2022). Intelligent servicing strategy for an online-to-offline (O2O) supply chain under demand variability and controllable lead time. RAIRO - Operations Research, 56(3), 1623–1653. https://doi.org/10.1051/ro/2022026
Christopher, M. (2022). Logistics and supply chain management (6th ed.). Pearson Education.
Creswell, J. W., & Creswell, J. D. (2023). Research design: Qualitative, quantitative, and mixed methods approaches (6th ed.). SAGE Publications.
Cruz, M., & Tan, P. (2021). Inventory effectiveness and order fulfillment challenges among Philippine distributors. Philippine Journal of Business and Logistics, 9(1), 22–39.
Das, S. K., & Kuthambalayan, T. S. (2022). Matching supply and demand with lead-time dependent price and with safety stocks in a make-to-order production system. Systems, 10(6), Article 256. https://doi.org/10.3390/systems10060256
Department of Trade and Industry. (2022). Philippine e-commerce roadmap report. Department of Trade and Industry.
Dizon, A., & Santos, R. (2020). Demand variability in the Philippine ICT market during promotional periods. Philippine Management Review, 27(2), 65–81.
Dolgui, A., & Ivanov, D. (2023). Supply chain resilience and demand variability in short life-cycle products. International Journal of Production Research, 61(5), 1342–1358.
Dolgui, A., Ivanov, D., & Sokolov, B. (2023). Reconfigurable supply chain management under uncertainty: The role of procurement and cross-functional coordination. International Journal of Production Research, 61(9), 2907–2923.
Field, A. (2024). Discovering statistics using IBM SPSS statistics (6th ed.). SAGE Publications.
Flores, J. (2022). Coordination delays in Metro Manila distribution firms. Asian Journal of Logistics and Supply Chain Management, 6(3), 45–60.
Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2021). Multivariate data analysis (8th ed.). Cengage Learning.
Harrison, P., & Wolfe, J. (2022). Cycle replenishment disruptions and operational timing in distribution systems. Journal of Inventory Management, 15(2), 77–92.
Hasahatan, M., Rahman, F., & Yusuf, A. (2025). Artificial intelligence, RFID, IoT, and blockchain adoption in modern inventory systems. International Journal of Smart Logistics, 12(1), 15–34.
Hersey, M., & Tan, R. (2023). Lead time reliability and order fulfillment performance in supply chains. Journal of Business Logistics, 44(2), 133–149.
Ivanov, D. (2022). Digital supply chain management and technology to enhance resilience by building and using end-to-end visibility during the COVID-19 pandemic. IEEE Transactions on Engineering Management, 69(5), 2908–2919.
Ivanov, D., & Dolgui, A. (2022). The evolving supply chain: Digitalization, resilience, and demand uncertainty. International Journal of Production Research, 60(6), 1895–1908. https://doi.org/10.1080/00207543.2021.1987550
Johnson, T., & Patel, R. (2023). Periodic inventory systems and operational visibility in retail distribution. International Journal of Inventory Control, 19(1), 51–67.
Kembro, J., Danielsson, V., & Smajli, G. (2022). Warehouse management in the digital era: A systematic literature review and research agenda. International Journal of Physical Distribution & Logistics Management, 52(7), 692–714.
Kimura, H. (2024). Seasonal demand peaks and lead time accuracy in technology industries. Asia-Pacific Journal of Supply Chain Management, 10(4), 98–117.
Kouki, C., & Jouini, O. (2020). Lead time variability and safety stock management in supply chains. International Journal of Production Economics, 227, Article 107690.
Kusuma, D., & Nugroho, Y. (2025). Integrated inventory control and stock availability in fast-moving industries. Journal of Operations and Inventory Management, 13(1), 55–72.
Lagmay, R. (2021). Internal coordination challenges in Philippine distribution firms. Philippine Journal of Operations Management, 8(2), 40–56.
Lagorio, A., & Kogan, K. (2024). Lead time synchronization and operational stability in modern supply chains. International Journal of Logistics Management, 35(1), 88–105.
Lagorio, A., & Pinto, R. (2024). Inter-departmental coordination and workflow responsiveness in supply chain operations. Journal of Supply Chain Performance, 17(2), 101–118.
Leung, C. (2025). Total fulfillment management and synchronized product movement in distribution systems. Global Logistics Review, 18(1), 30–47.
Lorenzo, J. (2023). Information synchronization issues among ICT distributors in the Philippines. Philippine Journal of Information Systems and Logistics, 5(1), 18–34.
Mallari, P., & Santos, D. (2023). Product life cycles and demand shifts in mobile phone and laptop markets. Philippine Journal of Marketing and Distribution, 11(3), 70–85.
Martinez, E., & Huang, L. (2024). Replenishment delays under periodic inventory systems. International Journal of Retail and Distribution Management, 52(2), 144–160.
McKinsey & Company. (2024). AI-enabled inventory management and supply chain optimization. McKinsey & Company.
Mubarak, M. F., & Petraite, M. (2022). Industry 4.0 technologies, digital transformation, and organizational performance: The mediating role of cross-functional collaboration. Sustainability, 14(17), Article 10794. https://doi.org/10.3390/su141710794
Nugroho, A., Pramono, R., & Hidayat, R. (2022). The impact of interdepartmental coordination on operational performance and customer satisfaction. International Journal of Productivity and Performance Management, 71(8), 3321–3338.
Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric theory (3rd ed.). McGraw-Hill.
Okrigwe, F., & Onifade, T. (2025). ICT adoption and operational efficiency in inventory management systems. International Journal of Business Technology and Logistics, 9(1), 63–80.
Queiroz, M. M., Ivanov, D., & Dolgui, A. (2022). Digital supply chain management and logistics resilience: A systematic review and future research agenda. International Journal of Production Economics, 244, Article 108356. https://doi.org/10.1016/j.ijpe.2021.108356
Rane, N., Choudhary, S., & Rane, J. (2022). Digital transformation and supply chain management: Improving operational efficiency through integrated information systems. Sustainability, 14(22), Article 15354. https://doi.org/10.3390/su142215354
Raut, R., Gardas, B., & Jha, M. (2023). Digital automation and workflow optimization in supply chain management. International Journal of Production Research, 61(11), 3572–3590.
Rohit, S., & Delgado, M. (2023). Cycle inventory dependence on lead time stability. Journal of Supply Chain Analytics, 14(3), 120–137.
Roman, D. (2025). Digital twins and bottleneck forecasting in warehouse operations. International Journal of Digital Supply Networks, 7(1), 24–41.
Sadiq, A., & Fernando, P. (2022). Buffer inventory strategies under lead time uncertainty. International Journal of Inventory Research, 10(2), 88–104.
Sarkar, S., Tiwari, S., & Giri, B. C. (2022). Impact of uncertain demand and lead-time reduction on two-echelon supply chain. Annals of Operations Research. https://doi.org/10.1007/s10479-021-04105-0
Saunders, M., Lewis, P., & Thornhill, A. (2019). Research methods for business students (8th ed.). Pearson Education.
Sekaran, U., & Bougie, R. (2020). Research methods for business: A skill-building approach (8th ed.). Wiley.
Senoner, J., Netland, T., & Feuerriegel, S. (2023). Order fulfillment performance and workflow coordination in manufacturing and distribution. Production Planning & Control, 34(9), 845–860.
Singh, R., & Mehta, P. (2022). Perpetual inventory systems and real-time decision-making in distribution operations. Journal of Inventory and Operations Management, 16(4), 93–109.
Syntetos, A., Boylan, J., & Disney, S. (2024). Forecasting challenges and inventory imbalances in fast-moving supply chains. International Journal of Forecasting, 40(1), 122–139.
Wagenhals, A., Schmidt, M., & Peters, J. (2023). Product obsolescence risks in technology distribution industries. Journal of Technology Supply Chains, 12(3), 66–82.
Wamba, S. F., Dubey, R., & Queiroz, M. M. (2022). Big data analytics capability and supply chain performance: The mediating role of demand forecasting and organizational agility. International Journal of Production Economics, 245, Article 108402. https://doi.org/10.1016/j.ijpe.2021.108402
Wang, X., Disney, S., & Wang, J. (2020). Demand forecasting and internal coordination in dynamic supply chains. International Journal of Production Economics, 228, Article 107742.
Wei, L., & Wang, P. (2025). Automation initiatives and warehouse processing improvements in fast-moving industries. Journal of Logistics Innovation, 20(1), 41–59.
Wen, H., & Lim, S. (2022). Seasonal inventory planning and operational readiness in retail supply chains. Asia-Pacific Journal of Operations Management, 14(2), 76–94.
Zhang, Y., Su, H., & Xiong, L. (2024). Lead time consistency and product flow coordination in fast-moving supply chains. International Journal of Supply Chain Management, 29(2), 115–132.
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