This study assessed the effect of predictive data analytics on the supply chain performance of Agritech Companies in Kenya. The study was grounded in Organizational Information Processing Theory. A descriptive research design was adopted. The target population consisted of 315 supply chain and information technology officers, from which a sample of 172 respondents was selected using Yamane’s formula (1967). Data were collected using structured questionnaires and interviews. Analysis was conducted using correlation analysis, and multiple regression analysis. The findings revealed that predictive data analytics had a positive and significant effect on food supply chain performance. The study findings indicated that predictive analytics improved demand forecasting and planning accuracy. The study concluded that predictive data analytics significantly enhances food supply chain performance, particularly when supported by strong organizational capabilities. It recommended that agritech firms invest in predictive data analytics systems to improve effective utilization of analytics tools in supply chain operations. JEL: M11, L23, L14, R41
Omuyoyi Maureen Matanga, Denis Ouma, Nurwin Fozia· European Journal of Economic...· 0 citations
This study evaluated the impact of descriptive data analytics on the supply chain performance of agritech companies in Kenya. The study was anchored on the Resource Dependence Theory and adopted a descriptive research design. The target population comprised 315 supply chain and information technology officers, from whom a sample of 172 respondents was selected using Yamane's (1967) formula. Primary data were collected using structured questionnaires and analyzed using correlation and linear regression techniques. The findings revealed that descriptive data analytics had a positive and statistically significant effect on fresh food supply chain performance. The study concludes that descriptive data analytics enhances supply chain performance by improving visibility, monitoring, and evidence-based decision-making within agritech firms. The study recommends that agritech companies invest in integrated data management systems, strengthen data quality practices, and build employees' analytical capabilities to maximize the benefits of descriptive analytics and improve overall supply chain performance. JEL: M11, L23, L14, R41
Omuyoyi Maureen Matanga, Nurwin Fozia, Denis Ouma· European Journal of Economic...· 0 citations
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