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Empirical Analysis of Barriers to Collaborative Information Sharing in Maritime Logistics Using Fuzzy AHP Approach

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  • Chang-Woo Lee

    (Department of Industrial and Management Engineering, Korea University, 145 Anam-ro, Seongbuk-gu, Seoul 02841, Republic of Korea)

  • Dong-Gyun Sohn

    (Department of Industrial and Management Engineering, Korea University, 145 Anam-ro, Seongbuk-gu, Seoul 02841, Republic of Korea)

  • Min-Gyu Sang

    (Department of Industrial and Management Engineering, Korea University, 145 Anam-ro, Seongbuk-gu, Seoul 02841, Republic of Korea)

  • Chulung Lee

    (School of Industrial and Management Engineering, Korea University, 145 Anam-ro, Seongbuk-gu, Seoul 02841, Republic of Korea)

Abstract

Collaborative information sharing in the maritime logistics supply chain is essential for achieving efficiency, sustainability, and resilience. However, numerous barriers hinder effective information sharing among key stakeholders, including port operators, shipping companies, and trucking firms. This study conducts an empirical analysis involving surveys and interviews with logistics industry experts in South Korea, applying the Fuzzy Analytical Hierarchy Process (Fuzzy AHP) to identify and prioritize critical collaborative information-sharing barriers in the maritime logistics supply chain. Through a comprehensive literature review, a range of barriers was identified, and their relevance was validated through structured surveys with industry experts. The application of Fuzzy AHP, which incorporates the inherent uncertainty in human judgment, enabled the identification of the most critical barriers that require urgent resolution. Based on these findings, a robust and actionable framework is proposed to address the identified challenges, integrating insights from expert interviews and the literature. The framework encompasses strategies such as data standardization, advanced data security, enhanced service compatibility, policy and institutional improvements, and stakeholder engagement. By addressing these critical barriers, the proposed framework aims to foster seamless information sharing and collaboration, ultimately enhancing the efficiency and sustainability of the maritime logistics supply chain.

Suggested Citation

  • Chang-Woo Lee & Dong-Gyun Sohn & Min-Gyu Sang & Chulung Lee, 2025. "Empirical Analysis of Barriers to Collaborative Information Sharing in Maritime Logistics Using Fuzzy AHP Approach," Sustainability, MDPI, vol. 17(4), pages 1-26, February.
    • Handle: RePEc:gam:jsusta:v:17:y:2025:i:4:p:1721-:d:1594733
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    References listed on IDEAS

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    1. Khalid Bichou & Richard Gray, 2004. "A logistics and supply chain management approach to port performance measurement," Maritime Policy & Management, Taylor & Francis Journals, vol. 31(1), pages 47-67, January.
    2. Zhiyuan Liu & Shuaian Wang & Yuquan Du & Hua Wang, 2016. "Supply Chain Cost Minimization by Collaboration between Liner Shipping Companies and Port Operators," Transportation Journal, John Wiley & Sons, vol. 55(3), pages 296-314, July.
    3. Rezaei, Jafar, 2015. "Best-worst multi-criteria decision-making method," Omega, Elsevier, vol. 53(C), pages 49-57.
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