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DETERMINANTS OF SUPPLY CHAIN PERFORMANCE IN STATE CORPORATIONS IN KENYA: A CASE OF KENYA PORTS AUTHORITY, MOMBASA

 

Otumba Brenda

College of Human Resource and Development,

Jomo Kenyatta University of Agriculture and Technology

P. O. Box 62000, 00200 Nairobi, Kenya.

Corresponding Author email: This e-mail address is being protected from spambots. You need JavaScript enabled to view it

 

Dr. Allan Kihara

College of Human Resource and Development,

Jomo Kenyatta University of Agriculture and Technology

P. O. Box 62000, 00200 Nairobi, Kenya

 

CITATION: Otumba, B. & Kihara, A. (2017). Determinants Of Supply Chain Performance In State Corporations In Kenya: A Case Of Kenya Ports Authority, Mombasa. International Journal of Human Resources and Procurement. Vol. 6 (5) pp 273 - 294

ABSTRACT

State corporations experience major challenges in the execution of supply chain performance. In Kenya, the central government spends about KES 234 billion per year on procurement. However, on annual bases, the government loses close to KES 121 billion; about 17% of the national budget due to inflated procurement quotations. The general objective of this study was to assess the determinants of supply chain performance in state corporations in Kenya which was carried out at the Kenya Ports Authority in Mombasa. The study sought to achieve the following specific objectives: to determine the effect of waste management, inventory management, information management and lead time management on supply chain performance in state corporations. This study used descriptive research design. The target population was 436 staff. The population of this study comprised of staff working in supply chain related areas of Kenya Ports Authority in Mombasa. Stratified random sampling technique was applied to determine the sample size which gave a sample size of 131 respondents. The study used primary data which was collected through use of questionnaires. The questionnaire consisted of closed and open ended questions. Quantitative data was analyzed using descriptive statistics. The Statistical Package for Social Sciences aided in data analysis. The study used regression model as statistical analysis techniques to help establish the relationship between independent variables and the dependent variable. The study also found out the respondents agreed that raw materials and supplies were always received on time and as and when required and that the company controlled inventory based on the deadline of re-supplying needs. It was also found out that there was restricted access especially to vital company information; and that data stored was classified accordingly and was always accurate. The company always had safety stock in case of any demands that could arise. They also had an automated system in place that allowed for on-time stock replenishment. The study concludes that waste management, inventory management, information management, and lead time management influences supply chain performance in state corporations in Kenya.

Key words: Waste management, Inventory management, Information management, Lead time management


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