Purpose: The aim of the study was to analyze the performance dimensions and performance analysis techniques applied in studies of Asian port performance Theoretical framework: The lack of literature in the context of port performance dimensions in Asian was the theoretical basis of the study. A related study on Asian port performance was analysed and listed in the study based on thematic approach. Design/methodology/approach: The PRISMA Statement (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) was used to guide this research, based on the databases of the two most prominent sources of articles which is Web of Science and Scopus. Findings: This review identified four main categories surrounding the dimensions of port performance, those being operational dimensions, dimensions surrounding customers’ perspectives, logistical dimensions, and organizational dimensions. Furthermore, the following three performance analysis approaches were identified as being preferred by researchers of the Asian region: efficiency, productivity, and competitiveness. Research, Practical & Social implications: The current findings of this research have shown that most studies on Asian ports focus on their efficiency and competitiveness rather than their productivity. A productivity survey might give a better overview of port performance as it concerns the actual output of the ports. Originality/value: The systematic literature review (SLR) approach were hardly found in study of port performance. At the same time, the PRISMA method were applied to synthesized previous studies on port performance in Asian is another niche of the study.
Port performance is an important gateway to countries and business entities. This study aims to explore the importance of logistics variables towards port performance measurement. A standard method used to measure port performance is the analysis of its inputs and outputs based on port characteristics, such as length of berth, number of cranes, and depth. Indubitably, these approaches are among the most practical used by scholars to measure port performance. However, other external factors, such as logistical variables, need special attention, as they have been discussed in previous studies as having the capability to influence the measurement of a port's performance. As such, this study measures the technical efficiency of 57 ports, ranked among the most efficient ports globally, via a Data Envelopment Analysis (DEA) and uses sensitivity analysis to measure the impact logistics variables have on the measurement of performance. For robustness checking, the Robust Fixed Effects tool was applied to measure the impact of the logistics variables on port technical efficiency. The results show that logistics variables significantly impact the technical efficiency measurements of ports.
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