Influence of Operations and Processes on Performance of Manufacturing Firms in Kenya

Authors

  • Benedict Mutinda Kimwaki Jomo Kenyatta University of Agriculture and Technology
  • Prof. Patrick Karanja Ngugi Jomo Kenyatta University of Agriculture and Technology
  • Prof. Rommanus Odhiambo Meru University of Science and Technology

DOI:

https://doi.org/10.47941/ijscl.1080

Keywords:

Operations and processes, Supply Chain Alignment, Organizational Performance, Manufacturing Firms

Abstract

Purpose: The purpose of this study was to analyse the influence of operations and processes on performance of manufacturing firms in Kenya.

Methodology: In this study, descriptive and cross-sectional research designs were used. According to the directory, there are 461 large-sized registered members. In order to sample 160 large industrial companies from the entire population, this study used Cochran's formula. Data was gathered using a standardized questionnaire, and both qualitative and quantitative analysis were performed on it. Both a descriptive and an inferential data analysis were used in this investigation. Tables, graphs, and pie charts were used to present the analysed data.

Results: The findings of the study revealed that the relationship between operations and processes and performance was significant at 5% level of significance. The model summary in the hypothesis testing revealed that the R2 for the model was 0.305. This is to imply that 30.5% of the variations in performance of manufacturing firms in Kenya are as a result of operations and processes. The p-value for the variable was 0.000 which is less than the standard P-value of 0.05. This is to mean that operations and processes had a significant influence on the performance of manufacturing firms in Kenya. To this end, we therefore, reject the null hypothesis that there is no significant relationship between operations and processes and performance of manufacturing firms in Kenya.

Unique contribution to theory, practice and policy: While the existing Supply Chain Operations Reference (SCOR) Model used in this study was validated, the study recommends that the policy makers and management of manufacturing firms should come up with policies and legislations that cover the concept of supply chain operations and processes as an essential driver to the performance of the manufacturing sector in the country. The policy makers hold a major role in determining how key sectors such as the manufacturing sector are run. The regulators and the legislators formulate policies and guidelines that guide on how manufacturing firms should carry out their operations including supply chain processes. The study also recommended that manufacturing firms policy makers should develop a policy and regulatory framework to accelerate effective implementation supply chain processes and operations to enhance their performance.

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Author Biographies

Benedict Mutinda Kimwaki, Jomo Kenyatta University of Agriculture and Technology

Ph.D. Candidate, School of Business and Entrepreneurship

Prof. Patrick Karanja Ngugi, Jomo Kenyatta University of Agriculture and Technology

Lecturer, School of Business and Entrepreneurship

References

Akkermans, H., Bogerd, P., & Vos, B. (2009). Virtuous and vicious cycles on the road towards international supply chain management. International Journal of Operations & Production Management, 19(5/6), 565-82.

Attia, A. (2015). Testing the effect of marketing strategy alignment and triple-A supply chain on performance in Kenya. Euro Med Journal of Business, 10(2), 163-180.

Baier, C., Hartman, E. & Moser, R. (2012). Strategic alignment and purchasing efï¬cacy: an exploratory analysis of their impact on ï¬nancial performance. Journal of Supply Chain Management, 44(4), 36-52.

Boiral, O. & Roy, M.J. (2010). ISO 9000: integration rationales and organizational impacts. International Journal of Operations & Production Management, 27(2), 226-247.

Buhner, R. (2012). Increasing shareholder value through human asset management. Long Range Planning, 30(5), 710-725.

Carmignani, G. (2009). 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.

Carrillat, F., Jaramillo, F. & Locander, W. (2014). Market driving organisations: a framework. Academy of Marketing Science Review, 39(5), 1-14.

Chi, M., Huang, R., & George, J. F. (2020). Collaboration in demand-driven supply chain: based on a perspective of governance and IT-business strategic alignment. International Journal of Information Management, 52, 102062.

Council, S. C. (2012). Supply chain operations reference model: Revision 11.0. Tech. rep. Supply Chain Council, Cypress, USA.

Doyle, P. (2014). Marketing Management and Strategy. Prentice Hall International (UK), Hemel Hempstead.

Dubey, R., Altay, N., Gunasekaran, A., Blome, C., Papadopoulos, T., & Childe, S. J. (2018). Supply chain agility, adaptability and alignment: empirical evidence from the Indian auto components industry. International Journal of Operations & Production Management.

Feizabadi, J., Maloni, M., & Gligor, D. (2019). Benchmarking the triple-A supply chain: orchestrating agility, adaptability, and alignment. Benchmarking: An International Journal.

Galbraith, J.R. (2012). Organizing to Deliver Solutions. Organizational Dynamics, 2(6), 194-207.

George, M., Freeling, A. & Court, D. (2010). Reinventing the marketing organization. The McKinsey Quarterly, 4(6), 43-62.

Gianakis, G. (2012). "The promise of public sector performance measurement: anodyne or placebo?" Public Administration Quarterly, 2(6), 34-64.

Kim, D.Y., & Kumar, U. (2011). A performance realization framework for implementing ISO 9000. International Journal of Quality and Reliability Management, 28(4), 383-404.

Kothari, C. R. (2014). Research Methodology Methods and Techniques (2nd ed.). New Delhi: New Age Publishers.

OECD. (2010). Integrity in Public Procurement: Mapping out Good Practices for Integrity and Corruption Resistance in Public Procurement.

Rashid, K. & Aslam, H. (2012). Business excellence through total supply chain quality management. Asian Journal on Quality, 13(3), 309-324.

Rezaei, M., Akbapour, M., & Karimi, B. (2017). IoT-based framework for performance measurement: a real-time supply chain decision alignment. Industrial Management & Data Systems, 117(4), 1023-1045.

Rezaei, M., Shirazi, M. A., & Karimi, B. (2017). IoT-based framework for performance measurement: A real-time supply chain decision alignment. Industrial Management & Data Systems.

Schneiderjans, J. & Cao, Q. (2009). Alignment of operations strategy, information strategic orientation and performance: an empirical study. International Journal of Production Research, 47(10), 2535-2563.

Sha, D.Y., & Chen, Y.H. (2012). The strategic ï¬t of supply chain integration in the TFT-LCD industry. Supply Chain Management: an International Journal, 13(5), 339-342.

Spekman, R.E., Kamauff, J.W. & Myhr, N. (2012). An empirical investigation into supply chain management a perspective on partnership. International Journal of Physical Distribution & Logistics Management, 28(8), 630-650.

Storey, J., Emberson, C. & Reade, D. (2015). The barriers to customer responsive supply chain management. International Journal of Operations & Production Management, 25(3/4), 242-260.

Storey, J., Emberson, C., & Harrison, A. (2012). Supply chain management: theory, practice and future challenges. International Journal of Operations & Production Management, 26(7), 7-24.

Vonderembse, M.A., & Dismukes, J.P. (2015). Designing supply chains: towards theory development. International Journal of Production Economics, 10(2), 223-238.

World Bank. (2013). "Reducing Supply Chain Barriers Could Increase Global GDP Up To 6 Times More Than Removing All Import Tariffs Report", Switzerland.

Yasin, M.M., Bayes, P.E. & Czuchry, A.J. (2015). The changing role of accounting in supporting the quality and customer goals of organizations: an open system perspective. International Journal of Management, 22(3), 323-332.

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Published

2022-10-23

How to Cite

Kimwaki, B. M., Ngugi, P. K. ., & Odhiambo, R. O. (2022). Influence of Operations and Processes on Performance of Manufacturing Firms in Kenya. International Journal of Supply Chain and Logistics, 6(2), 38–51. https://doi.org/10.47941/ijscl.1080

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