Operational Risk Management and Its Effect on Service Quality in Indonesian Logistics Companies

Authors

  • Lia Febriyanti Faculty of Economics, Yogyakarta State University
  • Rafina Alya Zhahira Faculty of Economics, Yogyakarta State University
  • Namira Salsabila Faculty of Economics, Yogyakarta State University

DOI:

https://doi.org/10.37899/mjdm.v2i4.260

Keywords:

Operational Risk Management, Service Quality, Logistics, Indonesia, SERVQUAL

Abstract

The logistics sector in Indonesia faces complex operational challenges due to geographical conditions, infrastructure limitations, and increasing customer demands. These challenges create significant operational risks that may undermine service quality if not properly managed. This study aims to examine the effect of operational risk management (ORM) on service quality in Indonesian logistics companies. A quantitative explanatory research design was employed using survey questionnaires distributed to 120 logistics firms of different sizes across major cities. ORM practices including risk identification, assessment, contingency planning, monitoring, and technology adoption were measured alongside service quality dimensions based on the SERVQUAL model. Data were analyzed using descriptive statistics, correlation analysis, and multiple regression. The results indicate that all logistics firms face considerable risks, particularly transportation delays and infrastructure constraints. However, companies implementing structured ORM practices achieved higher service quality, especially in reliability and responsiveness. Correlation and regression analyses revealed that ORM significantly and positively influences service quality, with technology adoption emerging as the strongest predictor. In conclusion, ORM is not only a defensive measure but also a strategic enabler for enhancing service quality and competitiveness in the Indonesian logistics industry. Effective ORM ensures customer satisfaction, operational resilience, and sustainable business performance.

References

Allioui, H., Allioui, A., & Mourdi, Y. (2024). Maintaining effective logistics management during and after COVID 19 pandemic: survey on the importance of artificial intelligence to enhance recovery strategies. Opsearch, 61(2), 918-962. https://doi.org/10.1007/s12597-023-00728-y

Asawawibul, S., Na-Nan, K., Pinkajay, K., Jaturat, N., Kittichotsatsawat, Y., & Hu, B. (2025). The influence of cost on customer satisfaction in e-commerce logistics: Mediating roles of service quality, technology usage, transportation time, and production condition. Journal of Open Innovation: Technology, Market, and Complexity, 11(1), 100482. https://doi.org/10.1016/j.joitmc.2025.100482

Chapman, R. L., Soosay, C., & Kandampully, J. (2003). Innovation in logistic services and the new business model: a conceptual framework. International journal of physical distribution & logistics management, 33(7), 630-650. https://doi.org/10.1108/09600030310499295

Das, A., & Luthfi, A. (2017). Disaster risk reduction in post-decentralisation Indonesia: Institutional arrangements and changes. In Disaster risk reduction in Indonesia: Progress, challenges, and issues (pp. 85-125). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-319-54466-3_4

Esmizadeh, Y., & Mellat Parast, M. (2021). Logistics and supply chain network designs: incorporating competitive priorities and disruption risk management perspectives. International Journal of Logistics Research and Applications, 24(2), 174-197. https://doi.org/10.1080/13675567.2020.1744546

Feo-Valero, M., Botella-Andreu, A., Martínez-Moya, J., Pallardó-López, V. J., Requena-Silvente, F., & Sala-Garrido, R. (2024). Exploring supply chain and regional resilience through the analysis of the transport dimension. Case Studies on Transport Policy, 16, 101216.

Fernandes, D. W., Moori, R. G., & Filho, V. A. V. (2018). Logistic service quality as a mediator between logistics capabilities and customer satisfaction. Revista de Gestão, 25(4), 358-372. https://doi.org/10.1108/REGE-01-2018-0015

Gupta, A., Singh, R. K., Mathiyazhagan, K., Suri, P. K., & Dwivedi, Y. K. (2023). Exploring relationships between service quality dimensions and customers satisfaction: empirical study in context to Indian logistics service providers. The international Journal of logistics management, 34(6), 1858-1889. https://doi.org/10.1108/IJLM-02-2022-0084

Hadiningrat, K. S. S., Wiradanti, B., & Umar, Y. F. (2024). Transformation Of Indonesian Sea Transportation And Maritime Logistics To Realize The Vision Of Golden Indonesia 2045. Jipower: Journal of Intellectual Power, 1(1), 89-107. https://doi.org/10.63786/jipower.v1i1.6

Hasan, M. K., Lei, X., Tang, W., Nishi, N. N., & Latif, Z. (2025). Exploring logistics performance index (LPI) from global perspective: a study based on network analysis (NA). Operations Management Research, 1-25. https://doi.org/10.1007/s12063-025-00550-3

Hohenstein, N. O. (2022). Supply chain risk management in the COVID-19 pandemic: strategies and empirical lessons for improving global logistics service providers’ performance. The International Journal of Logistics Management, 33(4), 1336-1365.

Jasmine, S., Riefky, T., Izzuddin, A., Moeis, F. R., Adriansyah, M., Sofiyandi, Y., & Farhani, A. (2021). Resilient Infrastructure in Indonesia: A Way Forward. Institute for Economic and Social Research.

Judijanto, L., Asniar, N., Kushariyadi, K., Utami, E. Y., & Telaumbanua, E. (2024). Application of integrated logistics networks in improving the efficiency of distribution and delivery of goods in indonesia a literature review. Sciences du Nord Economics and Business, 1(01), 01-10. https://doi.org/10.58812/sneb.v1i1.6

Kalkha, H., Khiat, A., Bahnasse, A., & Ouajji, H. (2023). The rising trends of smart e-commerce logistics. IEEE Access, 11, 33839-33857. https://doi.org/10.1109/ACCESS.2023.3252566

Kırbaç, G. (2023). Analyzing of global logistics performance index (LPI) in terms of logistics and supply chain activities in Turkey. Avrasya Sosyal ve Ekonomi Araştırmaları Dergisi, 10(4), 1208-1219.

Kramarz, M. (2023). Logistics coordination in building the resilience of the distribution network. Zeszyty Naukowe. Organizacja i Zarządzanie/Politechnika Śląska.

Lima Rua, O., Musiello-Neto, F., & Arias-Oliva, M. (2023). Linking open innovation and competitive advantage: the roles of corporate risk management and organisational strategy. Baltic Journal of Management, 18(1), 104-121. https://doi.org/10.1108/BJM-08-2021-0309?urlappend=%3Futm_source%3Dresearchgate.net%26utm_medium%3Darticle

Mashaleh, A. S., Ibrahim, N. F. B., Alauthman, M., Almseidin, M., & Gawanmeh, A. (2024). IoT Smart Devices Risk Assessment Model Using Fuzzy Logic and PSO. Computers, Materials & Continua, 78(2). https://doi.org/10.32604/cmc.2023.047323

Masudin, I., Safitri, N. T., Restuputri, D. P., Wardana, R. W., & Amallynda, I. (2020). The effect of humanitarian logistics service quality to customer loyalty using Kansei engineering: Evidence from Indonesian logistics service providers. Cogent Business & Management, 7(1), 1826718. https://doi.org/10.1080/23311975.2020.1826718

Memedovic, O., Ojala, L., Rodrigue, J. P., & Naula, T. (2008). Fuelling the global value chains: what role for logistics capabilities?. International Journal of Technological Learning, Innovation and Development, 1(3), 353-374. https://doi.org/10.1504/IJTLID.2008.019978

Napitupulu, C. A., Dompak, T., & Salsabila, L. (2024). Comparative analysis of political dynamics and public policy in infrastructure development: A study of Indonesia and India. Journal of Contemporary Local Politics, 3(1), 15-27.

Pawiak, A. (2024). New Technologies in the Development of Empathy: Benefits and Threats. Horyzonty Wychowania, 23(68), 161-170. https://doi.org/10.35765/hw.2024.2368.15

Politis, Y., Giovanis, A., & Binioris, S. (2014). Logistics service quality and its effects on customer satisfaction in the manufacturing companies’ supply chains: Empirical evidence from Greece. Journal of Modelling in Management, 9(2), 215-237. https://doi.org/10.1108/JM2-05-2012-0016

Rane, N., Choudhary, S., & Rane, J. (2023). Blockchain and Artificial Intelligence (AI) integration for revolutionizing security and transparency in finance. Available at SSRN 4644253. https://dx.doi.org/10.2139/ssrn.4644253

Rauniyar, K., Wu, X., Gupta, S., Modgil, S., & Lopes de Sousa Jabbour, A. B. (2023). Risk management of supply chains in the digital transformation era: contribution and challenges of blockchain technology. Industrial Management & Data Systems, 123(1), 253-277. https://doi.org/10.1108/IMDS-04-2021-0235

Rinaldi, S. M., Peerenboom, J. P., & Kelly, T. K. (2001). Identifying, understanding, and analyzing critical infrastructure interdependencies. IEEE control systems magazine, 21(6), 11-25. https://doi.org/10.1109/37.969131

Sharma, M., Joshi, S., Luthra, S., & Kumar, A. (2022). Managing disruptions and risks amidst COVID-19 outbreaks: role of blockchain technology in developing resilient food supply chains. Operations Management Research, 15(1), 268-281. https://doi.org/10.1007/s12063-021-00198-9

Tao, J., Aamir, M., Shoaib, M., Yasir, N., & Babar, M. (2025). Bridging the Gap Between Supply Chain Risk and Organizational Performance Conditioning to Demand Uncertainty. Sustainability, 17(6), 2462.

Umar, M., & Wilson, M. M. (2024). Inherent and adaptive resilience of logistics operations in food supply chains. Journal of Business Logistics, 45(1), e12362.

Yumurtacı Hüseyinoğlu, I. Ö., Sorkun, M. F., & Börühan, G. (2018). Revealing the impact of operational logistics service quality on omni-channel capability. Asia Pacific Journal of Marketing and Logistics, 30(5), 1200-1221. https://doi.org/10.1108/APJML-08-2017-0169

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Published

2025-12-23