Determinants of Efficiency in Cargo Logistics: A Case Study of Bollore Transport and Logistics Kenya Limited.

Abstract

This study sought to examine the determinants of efficiency in cargo logistics of Bollore Transport and Logistics Kenya limited. The specific objectives of the study were; to establish the effects of customs processes on efficiency of Bollore Transport and Logistics Limited; to establish the effects of logistics infrastructure on efficiency of Bollore Transport and Logistics Kenya Limited; to determine the effects of information technology on efficiency of Bollore Transport and Logistics Kenya Limited and to assess the effects of government clearing procedures on efficiency of Bollore Transport and Logistics Kenya Limited. To strengthen the conceptual framework the researcher used theories such as resource base theory, the theory of constraints and system’s theory.  The study was primary data which was collected through the use of questionnaires with respondents at the Bollore Transport and Logistics Company. The sample size was 93. A modified Likert scale questionnaire was developed and divided into three parts. A pilot study was carried out to refine the instrument. The quality and consistency of the study were further assessed using Cronbach's alpha. Data analysis was performed using Statistical Package for Social Science (SPSS Version 23) for Windows. The analysis was done using frequency counts, percentages, means and standard deviation, regression, correlation and the information generated will be presented in the form of graphs, charts and tables. From the research findings, the study concluded all the independent variables studied have a significant effect on the efficiency of cargo logistics as indicated by the strong coefficient of correlation and a p-value which is less than 0.05. The overall effect of the analysed factors was very high as indicated by the coefficient of determination. The overall P-value of 0.00 which is less than 0.05 (5%) is an indication of the relevance of the studied variables, significant at the calculated 95% level of significance.

Keywords: Determinants, Efficiency, Cargo Logistics, Bolomore Transport Kenya