Order Management and Supply Chain Performance of Motor Vehicle Assembly Firms in Kenya
DOI:
https://doi.org/10.47941/ijscl.2761Keywords:
Order Management, Supply Chain Performance, Motor Vehicle Assembly Firms, Competitive Advantage.Abstract
Purpose: This study sought to establish the influence of order management on supply chain performance of motor vehicle assembly firms in Kenya. The study was premised on the order management theory.
Methodology: The study adopted cross sectional survey design. The target population comprised the five (5) motor vehicle assembly firms in Kenya which are registered by Kenya Motor Industry (KAM, 2019). These firms are Isuzu East Africa Ltd (IEA), Associated Vehicle Assemblers (AVA), Kenya Vehicle Manufacturers (KVM), Trans Africa Ltd (TAL) and Mobius Motors Ltd. A total of 199 staff were selected from departments that engage in upstream and downstream supply chain activities in these firms. The sample size was determined using Slovin’s formula and stratified random sampling in the selection of 133 respondents from the target population. Primary data was collected using semi structured questionnaires. Prior to data collection, a pilot test was conducted to assess the validity and reliability of the research instruments. In the data processing and analysis, descriptive statistics was used and statistical output was generated using SPSS version 26. Inferential statistics was also used to infer correlation analysis as well as linear regression analysis.
Findings: The study findings showed that order management had a positive and significant influence on the supply chain performance of motor vehicle assembly firms in Kenya. Motor vehicle assembly firms should streamline customer orders through automation of order management to improve accuracy and reduce delays. Further, improvement on the supply chain visibility is critical consideration in ensuring efficacy in ordering processes and combating shipment uncertainties through embracing supply chain agility practices.
Unique Contribution to Theory, Practice and Policy: This study is anchored on order management theory that postulates the indispensable strategic relevance of order processing in motor vehicle assembly firms. It provides vital insights connecting capabilities, enabling mechanisms and supply chain performance outcomes to drive supply chain resilience and competitive advantage.
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References
Aldin, N., & Stahre, F. (2003). Electronic Commerce, Marketing Channels and Logistics Platforms a Wholesaler Perspective. European Journal of Operational Research, 144(2), 270-279.
Alshurideh. H. (2022). Impact of Effective Order Management and use of Information Technology in Service Operation to Enhance Service quality level in Hospitality Industry, International Journal of Theory of Organization and Practice, 1(1), 118-136.
Barbara, G., & Linda, S. (2007). Using Multivariate Statistics, (5th ed). Boston: Pearson/Allyn & Bacon.
Bhatnagar, R., & Teo, C. C. (2009). Role of Logistics in Enhancing Competitive Advantage: A Value Chain Framework for Global Supply Chains. International Journal of Physical Distribution & Logistics Management, 39(1), 202-226.
Bhattacharya, A., Holland, W., Gholson, B., & Abidi, M. A. (2022). Modeling and Implementing Personalized Automotive Ordering Process using Product Configurator Knowledge Base and Block Chain. Enterprise Information Systems, 16(2), 157-198.
Chopra, S., & Meindl, P. (2013). Supply Chain Management: Strategy Planning & Operation, (5th ed) Boston: Pearson Education Limited.
Christopher, M. (2011). Logistics and Supply Chain Management, (4th ed) New York: Prentice Hall.
Croxton, K. L. (2003). The Order Fulfillment Process. The International Journal of Logistics Management, 14(1), 19-32.
Faber, N., De Koster, M. B., & Smidts, A. (2013). Organizing Warehouse Management: An Exploratory Study. International Journal of Operations & Production Management, 33(9), 1230-1256.
Gitonga, S. (2017). Logistics Management Practices and Operational Performance of Fast Moving Consumer Goods Manufacturers in Nairobi. Unpublished Masters Project, University of Nairobi, Kenya.
Kanja, D.W & Mwangangi, P. (2017). Influence of Logistics Management on Supply Chain Performance in Retail Chain Stores in Kenya: A Case of Nakumatt Hodings Limited. The Strategic Business & Change Journal of Management, 2(25), 425-444.
Kenya Association of Manufacturers. (2019). Automotive Sector Profile. Retrieved July 11th, 2023 from www.kam.co.ke.
Kenya Bureau of Statistics. (2023). Analysis of Motor Vehicle Industry Value Chain in Kenya. Retrieved January 15th, 2024 from www. Kippra.or.ke.
Kenya Motor Industry Association. (2019). Draft National Automotive Policy. Retrieved May 14th, 2023 from www. Africacheck.com.
Koster, R. B. (2012). Distribution Network Design and Control. In Supply Chain Management (pp. 271-294). Academic Press.
Kothari, C. (2004). Research Methodology, (2nded). New Delhi: New Age International (P) Limited Publishers.
Krishnamurthy, P., & Suri, R. (2020). Digital Twin for Automation Solution in Automotive Industry. Procedia Computer Science,172, 995-1000.
Lysons, K., & Farrington, B. (2020). Procurement and Supply Chain Management, (10th ed). London: Prentice Hall.
Lysons, K., & Farrinngton, B. (2016). Procurement and Supply Chain Management (9th ed) London: Prentice Hall.
Mişra, M. K. (2021). Automobile Supply Chain 4.0 and its Implications. Materials Today: Proceedings, 10254-10261.
Mugenda, A. (2008). Social Science Research: Theory and Principles. Nairobi: Applied Research & Training Services.
Mugenda, O. M., & Mugenda, A.G. (2003). Research Methods: Qualitative and Qualitative Approaches. Nairobi: African Centre for Technology Studies.
Nasser, A., Mansour, A., & Mostafa, A. (2016). Evaluating the Performance of Order Fulfilment Process in Supply Chain. The Egyptian International Journal of Engineering Sciences and Technology, 20(1), 38-48.
Oketch, S.C., Chirchir, M., & Kinyua, S. (2014). Supply Chain Performance and Performance of Manufacturing Pharmaceutical Firms in Kenya. Unpublished MBA Research Project, University of Nairobi, Nairobi Kenya.
Oteki. EB., Namusonge, S.G., Sakwa, M., & Ngeno, J. (2018). Influence of Order Processing on Supply Chain Performance of Sugar Processing Firms in Kenya. International Journal of Social Sciences and Information Technology, 4(1), 2622-2634.
Pillai, M., & Pamuleti. C. (2022). Impact of Ordering Decisions on Performance of Supply Chain, Journal of Mines, Metal and Fuel, 1 (1): 370-378.
PWC. (2019). Automotive Industries in Kenya, Retrieved September 15th, 2023 from www.pwc.com.
Raghavan, S., & Mishra, M. K. (2015). Model Based Performance Monitoring of an Automotive Supply Chain. IFAC-Papers Online, 48(3), 294-299.
Republic of Kenya. (2019). National Automotive Policy. Retrieved July 11th, 2023 from www.industrilization.go.ke.
Sabadka, D. (2015). Trends and Challenges in Automotive Industry Logistics Operations. International Scientific Journal about Logistics, 2(1), 15-19.
Saunders, M., Lewis, P., & Thornhill, A. (2012). Research Methods for Business Students, (6th ed.). New York: Pearson.
Sekaran, U. (2010). Research Methods for Business, A Skill Building Approach, (4th ed). West Sussex, UK: John Wiley & Sons Ltd.
Walters, D. (2008). Demand Chain Effectiveness-Supply Chain Efficiencies. Journal of Enterprise Information Management, 19(3), 246-261.
Walters, D., & Rainbird, M. (2004). The Demand Chain as an Integral Component of the Value Chain. Journal of Consumer Marketing, 21(7), 465-475.
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Copyright (c) 2025 Mary Njoki Kiarie, Dr. Miriam Thogori
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