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

Chang-Woo Lee, Dong-Gyun Sohn, Min-Gyu Sang () and Chulung Lee ()
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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

Sustainability, 2025, vol. 17, issue 4, 1-26

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.

Keywords: maritime logistics; supply chain collaboration; information sharing; analytic hierarchy process (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2025
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