Journal Articles
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Item Modelling a Forecasting Platform for Small and Medium Enterprises in Kenya(Lukenya University Multidisciplinary Journal (LUMJ), 2020-09) Mburu, J. MSmall and medium enterprises’ contribution to Kenya’s GDP growth is vital. The use of technology to predict business operations and performance is the next frontier in ensuring business sustainability, job security and a generally good business environment. The study aimed at dealing with this information gap and equipping SME owners and managers with the right information to make informed decisions based on their data and experiences. Predicting business operations is a critical task for small and medium enterprises. With increased unpredictability in the business environment, small enterprises find themselves in the receiving end simply because they do not have the tools in decision making like their counterparts who have well established business decision-making tools. SMEs can now tap into the power of data to support decision-making. Data on sales and purchases collected by SMEs is readily available and SME owners can now benefit from the use of predictive analytics to forecast sales and purchases. The data allows SME owners to have added confidence in decision making to help propel their businesses to success.Item The Influence of Data Management on Market Access by SMEs in Trans Nzoia County, Kenya(Journal of Entrepreneurship & Project Management, 2021-09) Musungu, Tom Wekesa; Rintari, Nancy Gacheri; Gichohi, Paul MakuAccessing a sustainable market should be a priority for SMEs. It helps to expand their business horizons and get new opportunities and clients. New opportunities promote the urge of SMEs to employ all legally possible means to offer their products and services to the identified markets. As SMEs strive to ensure their products and services reach out to people both locally and internationally, the effective use of ICT, especially handling business data, was a major concern to SMEs in Trans Nzoia County, Kenya. This study aimed to establish the influence of data management on market access by SMEs in Trans Nzoia County. A descriptive research design was used in the study. The target population was 37 SMEs whose respondents were 92 ICT officers, 81 compliance officers, and 77 marketing officers. Data collection was done using interview guides and closed-ended questionnaires. To ensure validity and reliability, pilot-testing of questionnaires was done at Kenya Cooperative Creameries in Elgeiyo Marakwet County. Coded data in SPSS was analyzed quantitatively using descriptive statistics such as mean, percentage, and standard deviation. The qualitative data were analyzed using the thematic technique. Linear regression was used to test the hypothesis of the study. The study established that the decisions made by the SME management did not originate from reliable sources such as business intelligence systems but rather on personal experiences, emotions, and cheap and available options. Through the authorization of their boards, SMEs should employ staff who have adequate skills and experience in managing and analyzing data to provide direction on why certain decisions should be made.