IoT-Enabled Intermodal Port Management for Sustainable Maritime Logistics
DOI:
https://doi.org/10.55123/ijisit.v2i1.96Keywords:
Internet of Things (IoT), Intermodal Transportation, Smart Port, Digital Transformation, Maritime LogisticsAbstract
This research examines the effectiveness of IoT-enabled intermodal transportation management in improving port performance, operational efficiency, and sustainability within maritime logistics systems. The study integrates quantitative scoring analysis and qualitative thematic interpretation to evaluate key indicators, including IoT adoption, Big Data analytics utilization, digital twin implementation, governance integration, cybersecurity readiness, and sustainability performance. The results show high overall effectiveness, with average indicator scores above 4.0 on a 5-point scale, demonstrating significant improvements in cargo tracking accuracy, dwell time reduction, multimodal coordination, and environmental efficiency. Thematic findings indicate that operational efficiency and sustainability are the most dominant outcomes of digital transformation initiatives. The discussion connects these findings to existing research gaps, particularly the limited integration of digital governance, cybersecurity preparedness, and maritime education alignment within smart port development. This study contributes a comprehensive analytical framework linking technological adoption, institutional readiness, and human capital development. The findings provide practical implications for port authorities, policymakers, and maritime education institutions seeking to strengthen digital transformation strategies. Overall, IoT-driven intermodal systems represent a strategic pathway toward resilient, efficient, and sustainable maritime logistics ecosystems.
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[1] UNCTAD, Review of Maritime Transport 2023, United Nations Conference on Trade and Development, Geneva, Switzerland, 2023.
[2] International Maritime Organization (IMO), IMO Strategy on Reduction of GHG Emissions from Ships, London, U.K., 2018.
[3] World Bank, Port Reform Toolkit, 2nd ed., Washington, DC, USA: World Bank Publications, 2007.
[4] M. Heilig, E. Lalla-Ruiz, and S. Voß, “Digital transformation in maritime ports: analysis and a game theoretic framework,” Netnomics: Economic Research and Electronic Networking, vol. 19, no. 1–2, pp. 227–254, 2018.
[5] H. Tijan, A. Jović, S. Aksentijević, and M. Pucihar, “Digital transformation in the maritime transport sector,” Technological Forecasting and Social Change, vol. 170, 2021.
[6] Y. Liu, Y. Zhang, and X. Yao, “Application of IoT in smart port logistics management,” Journal of Marine Science and Engineering, vol. 8, no. 3, 2020.
[7] A. Carlan, C. Sys, and T. Vanelslander, “Digital innovation in the port sector: Barriers and facilitators,” Research in Transportation Business & Management, vol. 32, 2019.
[8] OECD, The Impact of Digitalisation on Transport and Logistics, International Transport Forum, Paris, France, 2020.
[9] D. M. Lambert and J. R. Stock, Strategic Logistics Management, 4th ed., New York, NY, USA: McGraw-Hill, 2001.
[10] P. T. Le and G. Nguyen, “Big data analytics in supply chain management: A systematic literature review,” Sustainability, vol. 12, no. 11, 2020.
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