INFORMATION FLOW STRATEGY AND PERFORMANCE OF MANUFACTURING FIRMS IN KENYA
Abstract
The study sought to determine the influence of information flow strategy on the performance of manufacturing firms in Kenya. Despite the Government initiatives to promote manufacturing firms through “Buy Kenya build Kenya” and mandatory reservation of 40% in all Government agencies Procurement Budgets for goods to be sourced locally; An overwhelming number of manufactures in Kenya have experienced a fall in turnover, with a least 23% registering losses in the range of 65% to 100%, and with 51%, registering loses between 30% and 65%, due to a fall in demand of the products. This study sought to determine the influence of information flow strategy on the performance of manufacturing firms in Kenya. The study was guided by innovation diffusion theory. For this study, the research philosophy was positivism. This study adopted cross-sectional research design. The KAM 2023 directory has listing of members (firms) by sectors which contains a register of 13 sectors of those in manufacturing firms spread all over the country (KAM, 2023). The study targeted all manufacturing companies registered under Kenya Association of Manufacturers. Therefore, the target population was 1032 manufacturing companies in Kenya while the unit of observation was senior managers from production and Supply Chain management. This study adopted Yamane (1967) simplified formula to calculate the sample size. Using this formula, a sample of 288 manufacturing firms were selected. This study utilized a semi-structured questionnaire to collect data. Data analysis was done through use of descriptive and inferential statistics. The study used SPSS version 25 in the analysis of data. The rationale for using correlation and regression analysis is to establish the relationship between information flow and Performance of Manufacturing Firms. The study revealed a significant positive relationship between information flow strategy and the performance of manufacturing firms. Efficient information sharing and coordination in the supply chain positively influenced firm performance. Vendor Managed Inventories and Electronic Data Interchange have enabled information sharing in the firm. Such information shared include information on inventories, customer orders and critical information in both upstream and downstream supply markets. Based on the study findings; Firms should prioritize information flow and coordination within the supply chain. Implementing systems and processes that facilitate timely and accurate data exchange among supply chain partners can lead to improved responsiveness, SC visibility, operational efficiency, and better performance outcomes
Key Words: Information Flow Strategy, Innovation Diffusion Theory Manufacturing Firms
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Agaba, E & Shipman, N. (2015). Public Procurement Reform in Developing Countries: The Ugandan Experience. Boca Raton, FL: Pr Academics Press.
Aguinis, H. (2015). Statistical power problems with moderated multiple regression in management research. Journal of Management, 21(6), 1141-1158.
Akech, J.M. (2015). Development partners and governance of public procurement in Kenya: enhancing democracy in the administration of aid. Int. law Politics. 37(4), 829-868.
Amayi, F. K. (2016). Factors Affecting Procurement in the Public Service: a Case Study of the State Law Office. Eldoret: Moi University.
Anderson, J.C. & Narus, J.A. (2015). A model of distribution firm and manufacturer firm working partnerships. Journal of Marketing, 54(1), 42-58.
Babbie, E. (2016). The practice of social research (11th ed.). Network: Thompson Learning.
Bagchi, P.K. & Skjoett-Larsen, T. (2018). Integration of information technology and organizations in a supply chain. International Journal of Logistics Management, 14(1), 89-108.
Baier, C., Hartman, E. & Moser, R. (2017). Strategic alignment and purchasing efficacy: an exploratory analysis of their impact on financial performance. Journal of Supply Chain Management, 44(4), 36-52.
Borg, W. R. & Gall, D. M. (2018). Educational Research: An introduction (5th ed.). Long publishers.
Bourguignon, A. (2015). Management accounting and value creation: the profit and loss of reification. Critical Perspectives on Accounting, 16(4), 353-389.
Bourland, K.E., Powell, S.G. & Pyke, D.F. (2016). Exploiting timely demand information to reduce inventories. European Journal of Operational Research, 92(2), 239-253.
Cao, Q., Baker, J. & Hoffman, J.J. (2017). The role of the competitive environment in studies of strategic alignment: a meta-analysis. International Journal of Production Research, 50 (2), 567-580.
Carmignani, G. (2019). Supply chain and quality management. The definition of a standard to implement a process management system in a supply chain. Business Process Management, 15(3), 395-407.
Chesesio, B., & Makokha, E. N. (2016). Influence of Distribution Channels on Supply Chain Performance-A Case Study of the New Kenya Cooperative Creameries Eldoret. European Journal of Business and Management, 8(30), 112-118.
Christopher, M. & Ryals, L. (2014). Supply chain strategy: its impact on shareholder value. International Journal of Logistics Management, 10 (1), 1-10.
Christopher, M., Lowson, R. & Peck, H. (2014). Creating agile supply chains in the fashion industry. International Journal of Retail & Distribution Management, 32(8), 367-378.
Chung, W.C. & Leung, S.F. (2017). Collaborative planning, forecasting and replenishment: a case study in copper clad laminate industry. Production Planning & Control, 16(6), 563-574.
CIPS. (2020). How do we measure up? An Introduction to Performance Measurement of the Procurement Profession. Retrieved September 17, 2022, from Chartered Institute of Purchasing and Supply.
Danese, P. & Romano, P. (2014). Improving interfunctional coordination to face high product variety and frequent modifications. International Journal of Operations Management, 24(9/10), 863-885.
Fredikind, T. (2014). Transaction Cost Economics as a contributing theory to Supply Chain Management: an assessment and application on theoretical basis.
Godsell, J., & Van Hoek, R. (2015). Building the supply chain to enable business alignment: lessons from British American Tobacco (BAT). Supply Chain Management: An International Journal, 15(1), 10-15.
Gonzalez-Benito, J., & Spring, M. (2015). Complementarities between JIT purchasing practices: An economic analysis based on transaction costs. International Journal of Production Economics, 6(1), 279-293.
Gudda, P., & Bwisa, H. M. (2013). Effect of Clustering and Collaboration on Product Innovativeness: The Case of Manufacturing Small and Medium Enterprises (SMEs) in Kenya. International Journal of Academic Research in Business and Social Sciences, 3(7), 42-55.
Gujarati, D.N. (2012). Basic Econometrics. McGraw Hill Book Co. New York, NY.
Gunasekaran, A., Patel, C. & Tirtiroglu, E. (2016). Performance measures and metrics in a supply chain environment. International Journal of Operations & Production Management, 21(1/2), 71-87.
Jeong, J.S. & Hong, P. (2017). Customer orientation and performance outcomes in supply chain management. Journal of Enterprise Information Management, 20(5), 578-594.
Lee, H. & Whang, S. (2015). Information sharing in supply chain. International Journal of Technology Management, 20(4), 373-387.
Madenas, N., Tiwari, A., Turner, C. J., & Woodward, J. (2014). Information flow in supply chain management: A review across the product lifecycle. CIRP Journal of Manufacturing Science and Technology, 7(4), 335-346.
Ochego, M. C., & Wycliffe, A. (2020). Logistics strategy as a competitive tool for firm performance: The moderating effect of customer service effectiveness. Journal of Sustainable Development of Transport and Logistics, 5(1), 56-65.
Orodho, J.A. (2014). Techniques of Writing Research Proposals And Reports In Education And Social Sciences (1st ed.). Nairobi: Masola Publishers.
Osterlund, J. & Loven, E. (2015). Information versus inertia: a model for product change with low inertia. Systems Research and Behavioral Science, 22(6), 547-560.
Ott, R.L., & Longnecker, M. (2015). An introduction to Statistical Methods and Data Analysis. 6th Ed. Brooks/Cole, Cengage Learning.
Pagell, M. (2014). Understanding the factors that enable and inhibit the integration of operations and logistics. Journal of Operations Management, 22(5), 459-467.
Sanders, N.R. & Premus, R. (2015). Modeling the relationship between firm IT capability, collaboration, and performance. Journal of Business Logistics, 26(1), 1-23.
Saunders, M., Lewis, P., & Thorn, A. (2019). Research Methods for Business Students (4th ed.). Harlow: Prentice Hall Financial Times.
Schneiderjans, J. & Cao, Q. (2019). Alignment of operations strategy, information strategic orientation and performance: an empirical study. International Journal of Production Research, 47(10), 2535-2563.
Selldin, E. & Olhager, J. (2015). Linking products with supply chains: testing Fisher’s model. Supply Chain Management: An International Journal, 12(1), 42-51.
Sha, D.Y., & Chen, Y.H. (2017). The strategic fit of supply chain integration in the TFT-LCD industry. Supply Chain Management: an International Journal, 13(5), 339-342.
Simatupang, T.M. & Sridharan, R. (2014). Benchmarking supply chain collaboration: an empirical study. Benchmarking, 11(5), 484-503.
Timna, T. D. (2017). Impact of logistics and transportation practices on performance of Kenya cooperative creameries. Retrieved from; http://erepository.uonbi.ac.ke/bitstream/handle/11295/102822/
Yamane, T. (1967). Elementary sampling theory. London: John Wiley & Sons.
Yang, F., & Zhang, X. (2017). The impact of sustainable supplier management practices on buyer-supplier performance: An empirical study in China. Review of International Business and Strategy, 27(1), 112-132
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