Maintaining Distribution Performance Amid Disruption Risks: The Role of Digital Logistics Agility in the Indonesian Trucking Industry
DOI:
https://doi.org/10.38035/dijemss.v7i6.7304Keywords:
Digital Logistics Capability, Route Optimization, Disruption Risk, Digital Logistics Agility, Distribution Service PerformanceAbstract
E-commerce growth has pushed last-mile trucking volumes in Indonesia higher year over year, raising a question prior research has left largely open: what happens to delivery performance when operations break down mid-route, and can a firm's agility actually absorb that damage? Prior studies have generally examined digital capability and route optimization in isolation, as positive drivers of logistics performance, while treating disruption risk as a separate resilience-oriented concern; few have tested whether digital logistics agility can convert a risk-laden operating environment into stable service outcomes within a single structural model, particularly in Indonesia's last-mile trucking segment. Grounded in Dynamic Capability Theory and Supply Chain Resilience Theory, this study tests the influence of digital logistics capability, route optimization, and disruption risk on distribution service performance, with digital logistics agility as the mediating mechanism. Using a quantitative explanatory design, data from 67 valid respondents, operational personnel at Indonesian trucking companies handling last-mile distribution, were processed with Partial Least Squares Structural Equation Modeling (PLS-SEM) in SmartPLS 4. Digital logistics capability and route optimization strengthen both agility and performance; disruption risk weakens both. Agility significantly and partially mediates all three relationships. The central finding: disruption risk keeps a significant direct negative effect on performance even after agility is accounted for, indicating that agility buffers disruption rather than neutralizing it, a distinction with direct implications for how trucking firms should allocate resilience investment.
References
Adzhigalieva, Z., Hurriyati, R., & Hendrayati, H. (2022). The Influence of Complaint Handling and Service Recovery on Customer Satisfaction, Customer Loyalty and Customer Retention. Atlantis Press - Global Conference on Business, Management, and Entrepreneurship (GCBME 2021).
Almutairi, A., & Owais, M. (2025). Reliable Vehicle Routing Problem Using Traffic Sensors Augmented Information. Sensors, 25(7). https://doi.org/10.3390/s25072262
Amio, M. G. A. N., Ahmed, H. N., Ali, S. M., Ahmed, S., & Majumdar, A. (2024). Key determinants to supply chain resilience to face pandemic disruption: An interpretive triple helix framework. PLoS ONE, 19(5 May). https://doi.org/10.1371/journal.pone.0299778
Atieh, A. A., Abu Hussein, A., Al-Jaghoub, S., Alheet, A. F., & Attiany, M. (2025). The Impact of Digital Technology, Automation, and Data Integration on Supply Chain Performance: Exploring the Moderating Role of Digital Transformation. Logistics, 9(1). https://doi.org/10.3390/logistics9010011
Sekaran, U., & Bougie, R. (2021). RESEARCH METHODS OF BUSINESS 8ED : a skill-buildingapproach. WILEY INDIA.
Escudero-Santana, A., Muñuzuri, J., Lorenzo-Espejo, A., & Muñoz-Díaz, M. L. (2022). Improving E-Commerce Distribution through Last-Mile Logistics with Multiple Possibilities of Deliveries Based on Time and Location. In Journal of Theoretical and Applied Electronic Commerce Research (Vol. 17, Number 2, pp. 507–521). MDPI. https://doi.org/10.3390/jtaer17020027
Ferreira, J. C., & Esperança, M. (2025). Enhancing Sustainable Last-Mile Delivery: The Impact of Electric Vehicles and AI Optimization on Urban Logistics. World Electric Vehicle Journal, 16(5). https://doi.org/10.3390/wevj16050242
Gasset, D., Paillalef, F., Payacán, S., Gatica, G., Herrera-Vidal, G., Linfati, R., & Coronado-Hernández, J. R. (2024). Route Optimization for Open Vehicle Routing Problem (OVRP): A Mathematical and Solution Approach. Applied Sciences (Switzerland), 14(16). https://doi.org/10.3390/app14166931
Giuffrida, N., Fajardo-Calderin, J., Masegosa, A. D., Werner, F., Steudter, M., & Pilla, F. (2022). Optimization and Machine Learning Applied to Last-Mile Logistics: A Review. Sustainability (Switzerland), 14(9). https://doi.org/10.3390/su14095329
Hair, J. F., Hult, G. T. M., Ringle, C. M., Sarstedt, M., Danks, N. P., & Ray, S. (2021). Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R A Workbook. Springer, Cham. https://doi.org/https://doi.org/10.1007/978-3-030-80519-7_1
Jamaludin, M., Yuniarti, Y., Rustandi, I., Sumiati, I., & Oktavian, A. (2023). The Impacts of Supply Chain Ambidexterity and Resource Flexibility on Supply Chain Resilience in Manufacturing SMES in Bandung, Indonesia. Jurnal Manajemen Dan Agribisnis. https://doi.org/10.17358/jma.20.2.330
Katsaliaki, K., Galetsi, P., & Kumar, S. (2022). Supply chain disruptions and resilience: a major review and future research agenda. Annals of Operations Research, 319(1), 965–1002. https://doi.org/10.1007/s10479-020-03912-1
Liu, L., & Wang, T. (2026). Optimizing urban last mile delivery efficiency through dynamic vehicle routing heuristics and traffic flow analysis. Scientific Reports, 16(1). https://doi.org/10.1038/s41598-025-29861-y
Moshood, T. D., Nawanir, G., Sorooshian, S., & Okfalisa, O. (2021). Digital twins driven supply chain visibility within logistics: A new paradigm for future logistics. In Applied System Innovation (Vol. 4, Number 2). MDPI AG. https://doi.org/10.3390/asi4020029
Muhammad Taufani, & Anton Wachidin Widjaja. (2023). The Manifestation Of Digital Transformation Concept In Indonesian Logistic Firms. Jurnal Manajemen, 27(3), 428–448. https://doi.org/10.24912/jm.v27i3.1383
Mutambik, I. (2024). The Role of Strategic Partnerships and Digital Transformation in Enhancing Supply Chain Agility and Performance. Systems, 12(11). https://doi.org/10.3390/systems12110456
Ning, L., & Yao, D. (2023). The Impact of Digital Transformation on Supply Chain Capabilities and Supply Chain Competitive Performance. Sustainability (Switzerland), 15(13). https://doi.org/10.3390/su151310107
Pasupuleti, V., Thuraka, B., Kodete, C. S., & Malisetty, S. (2024). Enhancing Supply Chain Agility and Sustainability through Machine Learning: Optimization Techniques for Logistics and Inventory Management. Logistics, 8(3). https://doi.org/10.3390/logistics8030073
Rashid, D. A., & Rasheed, D. R. (2024). Logistics Service Quality and Product Satisfaction in E-Commerce. SAGE Open, 14(1). https://doi.org/10.1177/21582440231224250
Riad, M., Naimi, M., & Okar, C. (2024). Enhancing Supply Chain Resilience Through Artificial Intelligence: Developing a Comprehensive Conceptual Framework for AI Implementation and Supply Chain Optimization. Logistics, 8(4). https://doi.org/10.3390/logistics8040111
Saad, N. A., Elgazzar, S., & Mlaker Kac, S. (2022). Investigating the Impact of Resilience, Responsiveness, and Quality on Customer Loyalty of MSMEs: Empirical Evidence. Sustainability (Switzerland), 14(9). https://doi.org/10.3390/su14095011
Sawik, B. (2024). Optimizing Last-Mile Delivery: A Multi-Criteria Approach with Automated Smart Lockers, Capillary Distribution and Crowdshipping. Logistics, 8(2). https://doi.org/10.3390/logistics8020052
Sudrajat, A., Hertina, D., & Dyahrini, W. (2024). SISTEM LOGISTIK DI INDONESIA: TINJAUAN KELEMBAGAAN DAN SISTEM INFORMASI. In SCIENTIFIC JOURNAL OF REFLECTION: Economic, Accounting, Management and Business (Vol. 7, Number 2). https://lpi.worldbank.org/international/global
Sultana, S., Paul, N., Tasmin, M., Dutta, A. K., & Khan, S. A. (2024). Analyzing Supply Chain Risks and Resilience Strategies: A Systematic Literature Review. MDPI, 41. https://doi.org/10.3390/engproc2024076041
Wang, C. N., Chung, Y. C., Wibowo, F. D., Dang, T. T., & Nguyen, N. A. T. (2023). Sustainable Last-Mile Delivery Solution Evaluation in the Context of a Developing Country: A Novel OPA–Fuzzy MARCOS Approach. Sustainability (Switzerland), 15(17). https://doi.org/10.3390/su151712866
Zhang, L., Gong, T., & Tong, Y. (2023). The impact of digital logistics under the big environment of economy. PLoS ONE, 18(4 April). https://doi.org/10.1371/journal.pone.0283613
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