SUPPLY CHAIN DRIVERS AND PERFORMANCE OF LARGE MANUFACTURING FIRMS IN NAIROBI CITY COUNTY, KENYA
Abstract
The general objective of this study was to determine supply chain drivers and performance of large manufacturing firms in Nairobi City County, Kenya. Specifically, this study sought to assess the effect of inventory driver on performance of large manufacturing firms in Nairobi City County, Kenya, to determine the effect of transportation driver on performance of large manufacturing firms in Nairobi City County, Kenya. This study used a descriptive research design. This study targeted senior management employees (1 top management employee, 2 middle level management employees and 3 lower management employees) in all the 105 firms. The total target population was 630 employees. The 239 respondents were chosen with the help of stratified random sampling technique. This study relied on both primary and secondary data. Primary data was collected through use of semi structured questionnaires. The study also conducted pilot test to test the validity and the reliability of the data collection instrument. The data collection instrument generated both qualitative and quantitative data. The study used both descriptive and inferential statistics for data analysis with the aid of Statistical Package for Social Sciences (SPSS version 25). Descriptive statistics such as mean, standard deviation, frequency and percentages were used in this study. In relation to inferential statistics, the study used correlation analysis. This was used to establish the relationship between the independent and the dependent variables. Data was then presented in a tables, bar charts and pie charts. The study concludes that inventory driver has a positive and significant effect on performance of large manufacturing firms in Nairobi City County, Kenya. In addition, the study concludes that transportation driver has a positive and significant effect on performance of large manufacturing firms in Nairobi City County, Kenya. From the results, this study recommends that large manufacturing firms should consider investing in supply chain visibility tools and technology that allow them to closely monitor and reduce lead times. In addition, the study recommends that large manufacturing firms should consider implementing demand forecasting models to accurately predict customer needs and optimize inventory levels accordingly.
Key Words: Supply chain drivers, Large manufacturing firms, Inventory driver, Transportation driver
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Arrow, J. R., Karlin, L., & Scarf, R. (1990). Role performed by the association between sellers and buyers in integrating TQM using SC. European Journal of Purchasing & Supply Management, 4(4), 223-234.
Egbide, B. Olubukunola, T., & Uwuigbe, W. (2017). Liquidity Management and Profitability of Manufacturing Companies in Nigeria. IOSR Journal of Business and Management (IOSR-JBM), 9(1), 13-21.
Ehiedu, V. (2018). The impact of liquidity on the profitability of some selected companies. The Financial Statement Analysis (FSA) Approach. The International Institute of Science and Technology and Education (IISTE), 5(5), 72-80.
Hussein, M., Shahid, H., & Akmal, M. (2016). Effect of Profitability and Financial Leverage on Capita Structure in Pakistan Textile Firms. Arabian J Bus Manag Review, 6(2), 198-222.
Maaka, Z. A. (2016). The relationship between liquidity risk and financial performance of commercial banks in Kenya. Unpublished MBA Research Project. (MBA dissertation, University of Nairobi).
Maghanga, E., & Kalio, A. (2017). Effects of Leverage on the Financial Performance of Parastatals: A Case Study of Kenya Power. International Journal of Science and Research, (IJSR), 3(10), 990-994.
Maulid, D. (2015). Output Flexibility – A Competitive Advantage for Small Firms. Strategic Management Journal, 12(4), 101-114.
Petrovic, L. (2017). Supply Chain Management Practices and Supply Chain Performance in the Australian Manufacturing Industry. Australia, Monash University.
Rehman, B. S. (2018). Relationship between Financial Leverage and Financial Performance: Empirical Evidence of Listed Sugar Companies of Pakistan. Global Journal of Management and Business Research Finance, 13 (8), 1-9.
Saunder, M., Thornhill, A., & Lewis, P. (2017). Research Methods. Fourth Harlow, England, FT Prentice Hall, Pearson Education.
Spanos, J. R., Smeltzer, L., &Narasimhan, R. (2004).The role of buyer and supplier relationships in integrating TQM through the supply chain. European Journal of Purchasing & Supply Management, 4(4), 223-234.
Stella, B., Aggrey, N., & Eseza, K. (2016). Firm size and rate of growth of Ugandan manufacturing firms. Journal of Applied Economics & Business Research, 4 (2), 178- 184.
Were, A. (2016). Manufacturing in Kenya: Features, challenges and opportunities. Retrieved from https://set.odi.org/wp-content/uploads/2016/09/Manufacturing-inKenya-Anzetse-Were.pdf on 12/12/2017
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