The Ship Management Firm Selection: The Case of South Korea
Although extant literature has stressed importance of the use of ship management and identified the selection factors, relative evaluation of comprehensive selection factors is found to be lacking. This study aims to evaluate the overall performance and rank of the ship management firms by adopting an integrated model of Analytic Hierarchy Process (AHP) and Fuzzy Technique for Order Preference by Similarity to Ideal Solution (FTOPSIS) in order to support the critical decision making on SMF selection based on multiple criteria. This study contributes to enhancing the selection criteria of ship management firms by the ship-owners, and at the same time identifies the areas that the ship management firms require to improve their service standards. The result indicates that competency is the most important criterion, followed by cost, courtesy, organisation characteristics and image.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/20925212
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Supplemental Notes:
- Abstract reprinted with permission of Elsevier.
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Authors:
- Seo, Young Joon
- Ha, Min Ho
- Yang, Zaili
- Bhattacharya, Syamantak
- Publication Date: 2018-9
Language
- English
Media Info
- Media Type: Web
- Features: References; Tables;
- Pagination: pp 256-265
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Serial:
- The Asian Journal of Shipping and Logistics
- Volume: 34
- Issue Number: 3
- Publisher: Elsevier
- ISSN: 2092-5212
- Serial URL: https://www.sciencedirect.com/journal/the-asian-journal-of-shipping-and-logistics
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Publication flags:
Open Access (libre)
Subject/Index Terms
- TRT Terms: Analytic hierarchy process; Decision making; Fuzzy logic; Logistics; Maritime industry; Ship lines; Shipping
- Identifier Terms: Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS)
- Geographic Terms: South Korea
- Subject Areas: Administration and Management; Marine Transportation;
Filing Info
- Accession Number: 01684073
- Record Type: Publication
- Files: TRIS
- Created Date: Oct 24 2018 11:18AM