Driving Value and Improving Efficiency: Digital Fuel Measurement as a Strategic Enabler in State-Owned Logistics — a Case Study of Limosin at Elnusa Petrofin
Downloads
This study examines the digital transformation of fuel logistics within Indonesian state-owned enterprises (SOEs), focusing on the implementation of LIMOSIN (Liquid Monitoring System) at Elnusa Petrofin. Despite global advances in IoT-enabled measurement systems, Indonesian fuel distribution continues to rely on manual dipstick measurement, handwritten logs, and fragmented reconciliation processes. Using a qualitative case study approach supported by the Technology Acceptance Model (TAM), Resource-Based View (RBV), VRIO, and Cost-Benefit Analysis (CBA), this research analyzed the operational, behavioral, and strategic implications of adopting digital fuel measurement systems. Findings reveal that LIMOSIN significantly improves accuracy, transparency, and traceability but faces adoption barriers due to low perceived ease of use, limited system integration, and institutional constraints typical of SOEs. Strategically, LIMOSIN positions Elnusa Petrofin toward greater client trust and differentiation in B2B logistics. The study contributes theoretical and managerial insights into digital adoption within emerging market SOEs and provides recommendations to strengthen readiness and strategic alignment.
Al Mashalah, H., Hassini, E., Gunasekaran, A., & Bhatt, D. (2022). The impact of digital transformation on supply chains through e-commerce: Literature review and a conceptual framework. Transportation Research Part E: Logistics and Transportation Review, 165, 102837. https://doi.org/10.1016/j.tre.2022.102837
AlNuaimi, B. K., Singh, S. K., Ren, S., Budhwar, P., & Vorobyev, D. (2022). Mastering digital transformation: The nexus between leadership, agility, and digital strategy. Journal of Business Research, 145, 636–648. https://doi.org/10.1016/j.jbusres.2022.03.038
Anderson, J. C., Narus, J. A., & van Rossum, W. (2006). Customer value propositions in business markets. Harvard Business Review, 84(3), 90–99.
Anggraeni, R. (2021). Digital maturity in state-owned enterprises. Journal of Public Sector Management.
Bai, C. (2019). Real-time logistics optimization using digital tools. Transportation Research Part E: Logistics and Transportation Review.
Baptista, J., Kim, S., & Kumar, A. (2022). Digital transformation in public organizations. Government Information Quarterly.
Barney, Jay. (1991). Firm resources and sustained competitive advantage. Journal of Management, 17(1), 99–120.
Brynjolfsson, E., & Hitt, L. (2000). Beyond computation: Information technology and organizational transformation. Journal of Economic Perspectives, 14(4), 23–48. https://doi.org/10.1257/jep.14.4.23
Christopher, M. (2016). Logistics & Supply Chain Management (5th ed.). Harlow, UK: Pearson Education.
Davis, Fred D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 319–340.
Frank, A. G., Dalenogare, L. S., & Ayala, N. F. (2019). Industry 4.0 technologies: Implementation patterns in manufacturing companies. International Journal of Production Economics, 210, 15–26. https://doi.org/10.1016/j.ijpe.2019.01.004
Gu, M., Yang, L., & Huo, B. (2021). The impact of information technology usage on supply chain resilience and performance: An ambidextrous view. International Journal of Production Economics, 232, 107956. https://doi.org/10.1016/j.ijpe.2020.107956
Hosseini, S., Ivanov, D., & Dolgui, A. (2019). Review of quantitative methods for supply chain resilience analysis. Transportation Research Part E: Logistics and Transportation Review, 125, 285–307. https://doi.org/10.1016/j.tre.2019.03.001
Papanagnou, C., Seiler, A., Spanaki, K., Papadopoulos, T., & Bourlakis, M. (2022). Data-driven digital transformation for emergency situations: The case of the UK retail sector. International Journal of Production Economics, 250, 108628. https://doi.org/10.1016/j.ijpe.2022.108628
Raut, R. D., Mangla, S. K., Narwane, V. S., Dora, M., & Liu, M. (2021). Big data analytics as a mediator in lean, agile, resilient, and green (LARG) practices effects on sustainable supply chains. Transportation Research Part E: Logistics and Transportation Review, 153, 102427. https://doi.org/10.1016/j.tre.2021.102427
Tang, C. S., & Veelenturf, L. P. (2019). The strategic role of logistics in the industry 4.0 era. Transportation Research Part E: Logistics and Transportation Review, 129, 1–11. https://doi.org/10.1016/j.tre.2019.06.004
Venkatesh, Viswanath, Morris, Michael G., Davis, Gordon B., & Davis, Fred D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 425–478.
Verhoef, P. C., Broekhuizen, T., Bart, Y., Bhattacharya, A., Dong, J. Q., Fabian, N., & Haenlein, M. (2021). Digital transformation: A multidisciplinary reflection and research agenda. Journal of Business Research, 122, 889–901. https://doi.org/10.1016/j.jbusres.2019.09.022
Warner, K. S. R., & Wäger, M. (2019). Building dynamic capabilities for digital transformation: An ongoing process of strategic renewal. Long Range Planning, 52(3), 326–349. https://doi.org/10.1016/j.lrp.2018.12.001
Westerman, George, Bonnet, Didier, & McAfee, Andrew. (2014). Leading digital: Turning technology into business transformation. Harvard Business Press.
Yang, M., Fu, M., & Zhang, Z. (2021). The adoption of digital technologies in supply chains: Drivers, process and impact. Technological Forecasting and Social Change, 169, 120795. https://doi.org/10.1016/j.techfore.2021.120795
Copyright (c) 2026 Dyah Ayu Sekar Melati, Nila Armelia Windasari
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
