INFLUENCE OF TRANSPORT AND FLEET RATIONALIZATION ON PERFORMANCE OF STATE CORPORATIONS IN KENYA

Authors

  • Victor Nthiga Mugao JOMO KENYATTA UNIVERSITY OF AGRICULTURE AND TECHNOLOGY
  • Dr. Charles Ndeto JOMO KENYATTA UNIVERSITY OF AGRICULTURE AND TECHNOLOGY

DOI:

https://doi.org/10.47941/ijscl.716
Abstract views: 134
PDF downloads: 139

Keywords:

logistics information management, consignment management, distributor base management, transit management

Abstract

Purpose: The purpose of the study was to assess the influence of transport and fleet rationalization on performance of state corporations Kenya.

Methodology: Descriptive research design was adopted because it allowed an in-depth study of the subject. The target population was all the 187 state corporations in Kenya. Questionnaires were administered to collect qualitative and quantitative data from a sample of 127 heads of transport and logistics department among state corporations operating in Kenya, who were selected using simple random sampling, from the four strata. Questionnaires were used to collect data. The questionnaires were tested for validity and reliability using 10% of the total sample respondents. Data was analyzed through descriptive statistical methods such as means, standard deviation, frequencies and percentage. Inferential analyses were used in relation to correlation analysis and regression analysis to test the relationship between the four explanatory variables and the explained variable. Multiple regression models were used to show the relationship between the predicted variable and the predictor variables. The data generated was keyed in and analyzed by use of Statistical Package of Social Sciences (SPSS) version 21 to generate information which was presented using charts, frequencies and percentages.

Results and conclusion: The response rate of the study was 76%. R square value of 0.715 means that 71.5% of the corresponding variation in performance of state corporations in Kenya can be explained or predicted by (logistics information management, consignment management, distributor base management, transit management) which indicated that the model fitted the study data. The results of regression analysis revealed that there was a significant positive relationship between dependent variable and independent variable at (β = 0.715), p=0.000 <0.05). The findings of the study concluded that logistics information management, consignment management, distributor base management and transit management have a positive relationship with performance of state corporations in Kenya.

Policy recommendation: The study recommended that state corporations should embrace transport and fleet rationalization aspects so as to improve performance and further researches should to be carried out in other firms to find out if the same results can be obtained.

Downloads

Download data is not yet available.

Author Biographies

Victor Nthiga Mugao, JOMO KENYATTA UNIVERSITY OF AGRICULTURE AND TECHNOLOGY

Post Graduate Student, Department of Procurement and Logistics

Dr. Charles Ndeto, JOMO KENYATTA UNIVERSITY OF AGRICULTURE AND TECHNOLOGY

Lecturer, Department of Procurement and Logistics

References

Aldin, N., Brehmer, O., & Johansson, A. (2014). Business development with electronic commerce: refinement and repositioning. Business Process Management Journal, 10(1), 44-62.

Armistead, G. & Mapes, J. (2016). The impact of supply chain integration on operating performance: International Journal of Logistics Information Management, 6 (4), 9-14.

Atos, K. (2019). The elements of a successful logistics partnership: International Journal of Physical Distribution & Transport and fleet management, 26(3), 7-15.

Bourlakis, C. & Bourlakis, M. (2015). Information technology safeguards, logistics asset specificity and fourth-party logistics network creation in the food retail chain, The Journal of Business & Industrial Marketing, 20 (2), 88–99.

Bowersox, J., Closs, J., & Cooper, M. (2017). Supply Chain Transport and fleet management (3rd Ed); Boston, Mass: McGraw-Hill.

Bumstead, J. & Cannons, K. (2019). From 4PL to managed supply-chain operations, Logistics & Transport Focus, 4(4), 18–24

Deloitte (2019). Strategic Review of Logistics Outsourcing in Kenya. Nairobi: International finance Corporation-World Bank Group Press. Retrieved February 2017

Dunn, S. D. (2017). Statistics and Data analysis for the Behavioural Science: Mc Graw Hill

George, D., & Mallery, P. (2016). SPSS for Windows step by step: A simple guide Longman Publishers, Nairobi, Kenya Debt structure [Electronic Version]

ISO (2017). ‘Quality management and quality assurance vocabulary, International Organization for Standardization, Geneva

KNBS (2017). Kenya State corporations Survey. Nairobi:

Lau, K.H. & Zhang, J. (2016). Drivers and Obstacles of Outsourcing Practices in China. International Journal of Physical Distribution & Transport and fleet management 36 (10), 776-792

Nairobi: Centre for Corporate Governance

Ngonela, W., Mwaniki, C., & Namusonge, G. (2014). Drivers of Logistics Outsourcing Practices in Tea Processing Firms in Bomet County. IOSR Journal of Economics and Finance, 4(1), 47-57

OECD (2019). Actualizing Organizational Memory with Information Systems”, Information Systems Research, Pearson Education Limited, Essex

Sahay, S. & Mohan, R. (2016). 3PL practices: an Indian perspective. International Journal of Physical Distribution & Transport and fleet management 36 (9), 666-689.

Samson, M. (2019). The driving factors of 3PL transport and fleet management in Kenya Procurement Oversight Authority, Quarterly PPOA Bulletin, 6 (4), 212-250 Nairobi

USAID (2019). Selecting and implementing vendor managed inventory systems for transportation sector supply chain: Deliver Project, USAID

Downloads

Published

2021-11-06

How to Cite

Mugao, V. N., & Ndeto, D. C. (2021). INFLUENCE OF TRANSPORT AND FLEET RATIONALIZATION ON PERFORMANCE OF STATE CORPORATIONS IN KENYA. International Journal of Supply Chain and Logistics, 5(3), 33–53. https://doi.org/10.47941/ijscl.716

Issue

Section

Articles