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Influence of Demand Collaboration on Performance of Food and Beverages Manufacturing Companies in Nairobi City County

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  • Briget Wangui Mwatha

    (Jomo Kenyatta University of Agriculture and Technology, Kenya)

  • Dennis Chege

    (Jomo Kenyatta University of Agriculture and Technology, Kenya)

Abstract

Effective demand collaboration strategies can significantly improve operational efficiency, supply chain responsiveness, and overall performance, enabling companies to maintain a competitive edge in the market. Despite the crucial role of demand collaboration in enhancing the performance of companies, many firms have yet to fully leverage its potential. This paper sought to examine the influence of demand collaboration on the performance of food and beverage manufacturing companies in Nairobi City County. The study applied a mixed research design. The study gathered data through questionnaires which were administered both physically and online. Data collected was analyzed through both descriptive and inferential analysis. Results revealed a β of 0.847 and a p-value of 0.001, between demand collaboration and the performance of food and beverages manufacturing companies. The study concluded that demand collaboration had a positive and significant influence on the performance of food and beverage manufacturing companies in Nairobi City County. The study recommends continued strengthening of front office agreements with trading partners and enhanced collaborative communication within the supply chain networks. Additionally, it is recommended that food and beverage companies should implement advanced technologies for order forecasting and optimization of stock requests. Finally, it is recommended that food and beverage manufacturing companies should invest in customer satisfaction initiatives, such as product quality enhancements and service improvements.

Suggested Citation

  • Briget Wangui Mwatha & Dennis Chege, 2024. "Influence of Demand Collaboration on Performance of Food and Beverages Manufacturing Companies in Nairobi City County," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 8(5), pages 43-52, May.
    • Handle: RePEc:bcp:journl:v:8:y:2024:i:5:p:43-52
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    References listed on IDEAS

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    1. Jiakuan Chen & Haoyu Wen, 2023. "The application of complex network theory for resilience improvement of knowledge-intensive supply chains," Operations Management Research, Springer, vol. 16(3), pages 1140-1161, September.
    2. Chi, Maomao & Huang, Rui & George, Joey F., 2020. "Collaboration in demand-driven supply chain: Based on a perspective of governance and IT-business strategic alignment," International Journal of Information Management, Elsevier, vol. 52(C).
    3. Linh Nguyen Khanh Duong & Josephine Chong, 2020. "Supply chain collaboration in the presence of disruptions: a literature review," International Journal of Production Research, Taylor & Francis Journals, vol. 58(11), pages 3488-3507, June.
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