TURNAROUND DETERMINANTS INFLUENCING CARGO VESSEL PERFORMANCE AT MOMBASA PORT

CHRISTOPHER MATATA MUTUA, DR. LUCY GICHINGA (Ph.D)

Abstract


The study sought to identify turnaround determinants influencing cargo vessels performance at Mombasa port and was guided by the following theories: Technology diffusion theory, Transaction cost theory and the goal setting theory. The study adopted a descriptive design and the target population was 404 respondents. A representative sample was selected using simple stratified random sampling since population of interest was not homogeneous. Primary data was collected using questionnaires while secondary data was collected from books and journals. The data collected was analyzed by use of descriptive and inferential statistics. The quantitative data generated was keyed in and analyzed by use of Statistical Package of Social Sciences (SPSS) to generate information which was presented using tables, charts, frequencies and percentages. The linear regression model was used to show the relationship between the dependent variable and the independent variables. The findings showed that the four independent variables have a significant effect on cargo vessel performance at Port of Mombasa. Integrated berth management system was found to have the strongest effect on cargo vessel performance. However, marine berthing structure showed the weakest positive relationship with cargo vessel performance. The study therefore recommended that IT Infrastructure is a necessary condition for efficient cargo handling operations and adequate infrastructure is needed to avoid congestion, foster trade development as well as securing deep-sea container connectivity for economies heavily dependent on international trade. 

Key Words: Integrated Berth Management System, Cost Optimization Strategy, Berthing Structure, Integrated Clearance System and Performance

CITATION: Mutua, C. M., & Gichinga, L. (2019). Turnaround determinants influencing cargo vessel performance at Mombasa Port. The Strategic Journal of Business & Change Management, 6 (2), 2511 – 2525.


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DOI: http://dx.doi.org/10.61426/sjbcm.v6i2.1289

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