A hierarchical cluster analysis of port performance in Malaysia

Norlinda Mohd Rozar, Mohd Hazeem Sidik, Muhammad Ashlyzan Razik, Saadi Ahmad Kamaruddin, Mohd Kholil Ashari Mohd Rozar, Indrianawati Usman and Bandar Ersan Alown

Maritime Business Review, 2022, vol. 8, issue 3, 194-208

Abstract: Purpose - The term competitive has always been used as a comparison to provide a distinction between two or more things. Southeast Asia handles billions of tonnes of global seaborne trade annually. Thus, there is a necessity to look in detail at the performance indicators of port competitiveness on the basis of port performance. Design/methodology/approach - This study has categorized 18 Malaysian bulk terminals into two different classes based on various performance indicators. The distinctions used a hierarchical cluster analysis by arranging the performance indicators. The technique is among the most popular techniques used to form homogeneous groups of entities or objects. Findings - In this study, it was found that two classes were classified as being competitive from the homogeneous groups created. Based on the performance metrics chosen, Group 1 had the lowest score and Group 2 had the highest score. It was found that the Westport and Northport of Klang Port had the best performance of all. Research limitations/implications - A major challenge for the study is the lack of variables relevant to other port competitiveness requirements, and a detailed research study is needed to gather information on the satisfaction of terminal customers, the paperwork involved, the accuracy and consistency of tariffs paid, the level of safety at sea and on land and environmental protection around the facility site. Originality/value - The study on ports has been given less attention among researchers in this particular area. Therefore, this paper focuses on the port terminals in Malaysia and compares port performance metrics between ports to determine their competitiveness.

Keywords: Port performance; Port competitiveness; Scheduling algorithms; Hierarchical cluster (search for similar items in EconPapers)
Date: 2022
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.emerald.com/insight/content/doi/10.110 ... d&utm_campaign=repec (text/html)
https://www.emerald.com/insight/content/doi/10.110 ... d&utm_campaign=repec (application/pdf)
Access to full text is restricted to subscribers

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:eme:mabrpp:mabr-07-2020-0040

DOI: 10.1108/MABR-07-2020-0040

Access Statistics for this article

Maritime Business Review is currently edited by Chin-Shan Lu and Tsz Leung Yip

More articles in Maritime Business Review from Emerald Group Publishing Limited
Bibliographic data for series maintained by Emerald Support ().