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INFLUENCE OF SUPPLY CHAIN MANAGEMENT PRACTICES ON PERFORMANCE OF THE NAIROBI SECURITIES EXCHANGE’S LISTED, FOOD MANUFACTURING COMPANIES IN NAIROBI


Jared Omondi Okello

Masters of Science in Procurement and Logistics, Jomo Kenyatta University of Agriculture and Technology, Kenya

Dr. Susan Were

Lecturer, Jomo Kenyatta University of Agriculture and Technology, Kenya


ABSTRACT

Food manufacturing companies in Nairobi are performing poorly and facing intense competition from the imported food stuffs from overseas. This is due to dynamics` and complicated supply chain that poses enormous challenge and risks in the food industry.  The main purpose of this study was to find out the influence of supply chain practices on the performance of food manufacturing companies in Nairobi Kenya. The study was guided by the following research objectives: To find out how product development affect the performance of food manufacturing companies in Nairobi Kenya, To determine how inventory management affects the performance of food manufacturing companies in Nairobi Kenya, To establish the extent to which lead time affects the performance of food manufacturing companies in Kenya and To determine how technology affects the performance of food manufacturing companies in Nairobi Kenya. The study employed a descriptive survey research design. The study sample consisted of ninety respondents (90) who are support staff members from six (6) manufacturing companies listed in the NSE. Simple random sampling procedure was used to select the support staff members. The key data collection instrument used in this study was questionnaire. Seventy nine (79) responded. The collected data was analyzed using both quantitative and qualitative data analysis approaches, both correlation and regression, and analysis of variance (ANOVA) were used. The close ended questions were analyzed quantitatively whereas the open ended questions in the questionnaire were analyzed qualitatively.  Descriptive analysis such as frequencies and percentages was used to present quantitative data. The analyzed data has been used in the formulation of conclusions and recommendations.


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