MBA Theses and Dissertations (2023)
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Browsing MBA Theses and Dissertations (2023) by Author "Narandass, K. H."
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- ItemFactors affecting demand forecasting accuracy in shoe manufacturing companies in Kenya(Strathmore University, 2023) Narandass, K. H.The general objective of this study was to assess the factors that affect demand forecasting accuracy in shoe manufacturing companies in Kenya. The specific factors examined in this study included consumer characteristics, product characteristics, competitor activities, external factors, macro-environment factors, forecasting resources and forecasting methods. This study sought to examine the extent to which considering these factors in demand forecasting affects accuracy. A descriptive research design was applied to a target population directly related to the supply chain and forecasting and this constituted employees working in the following departments; sales, marketing, production, procurement and logistics in all shoe manufacturing companies in Kenya. Structured questionnaires were administered to the respondents by the researcher and the collected data was analyzed using descriptive and inferential statistics, and presented in tables and charts. The findings from the analysis revealed that factoring consumer characteristics, product characteristics, marketing activities and competitor activities were significant predictors of demand forecasting accuracy. The positive coefficients of these factors mean that considering them can increase the accuracy of demand forecasting. The results also showed that considering explanatory and macro-environment factors predicted demand forecasting accuracy by positive regression coefficients; thus, enhance the accuracy of forecasting. Additionally, the results suggest that forecasting methods can be used to enhance the accuracy of demand forecasting for shoe manufacturers in Kenya. Lastly, the findings demonstrated that demand forecasting resources partially mediates the association between demand forecasting methods and demand forecasting accuracy. Therefore, demand forecasting resources explain the positive impact of demand forecasting methods on forecasting accuracy.