Interdependency patterns of potential seaport risk factors in relation to supply chain disruption in Indonesia

Muhammad Reza Bagus () and Shinya Hanaoka
Additional contact information
Muhammad Reza Bagus: Tokyo Institute of Technology
Shinya Hanaoka: Tokyo Institute of Technology

Journal of Shipping and Trade, 2023, vol. 8, issue 1, 1-28

Abstract: Abstract As an integral part of the global supply chain network, Indonesian supply chain entities should understand conditional seaport risk factors that could lead to seaport threats that affect supply chain continuity. This study aims to provide a procedure for evaluating the interdependencies, implications, and correlations among various seaport risk factors for supply chain threats, specifically by investigating current practices in the developed economic region of Indonesian seaport operations. The study uses a rough set method to solve feature selection problems and multivariate analysis of variance to assess the correlation between dependent and independent variables. We find 39 conditional seaport risk factors that are potentially influenced by about 21 dependent factors related to seaport-fulcrum supply chain entities. Furthermore, threats from the planning process, infrastructure, seaport service process, distribution process, financial costs of nuclear enterprises and security existed and affluent highest potential risk in Indonesia.

Keywords: Seaport risk factors; Interdependency risk analysis; Rule rough set theory; Genetic algorithm; Association rule mining (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1186/s41072-023-00137-w Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:josatr:v:8:y:2023:i:1:d:10.1186_s41072-023-00137-w

Ordering information: This journal article can be ordered from
https://jshippingandtrade.springeropen.com/

DOI: 10.1186/s41072-023-00137-w

Access Statistics for this article

Journal of Shipping and Trade is currently edited by Kee-Hung Lai

More articles in Journal of Shipping and Trade from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().