Predictive Analytics for SA Land Reform | AcademicJobs
South African researchers from TUT, UNISA, UFS, and NMU propose a predictive analytics model to balance equity and productivity in land reform, addressing high failure rates with ML and GST.
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Dr Benjamin Manasoe is affiliated with the University of the Free State in the Department of Sustainable Food Systems and Development within the Faculty of Natural and Agricultural Sciences. He has served as an M&D supervisor and external examiner at the university since February 2022. His academic work centres on agricultural economics with a focus on small-scale agro-processors, economic empowerment frameworks, value networks in agricultural cooperatives, and sustainable practices supporting food security in local systems. Key publications include the 2023 article “Entrepreneurship and economic empowerment of small-scale Agro-processors in South Africa: Implications for Small Business Development and Entrepreneurship Research,” the 2023 paper “Value network configuration and competitiveness of emerging agricultural cooperatives in the Central Free State of South Africa,” and the 2021 study “Analysis of the impact of the networks on the status of the internal resources of the small-scale agro-processors in South Africa.” Additional co-authored works address capacity building, government funding impacts on food security, and smallholder sustainable agriculture practices, appearing in journals such as Cogent Social Sciences, the Southern African Business Review, and the South African Journal of Agricultural Extension. Manasoe earned his PhD from North West University in 2021, with a thesis titled “Development of an economic empowerment framework for small-scale agro-processors in South Africa.” His contributions support research on the economic dimensions of agro-processing and cooperative development in South Africa.
South African researchers from TUT, UNISA, UFS, and NMU propose a predictive analytics model to balance equity and productivity in land reform, addressing high failure rates with ML and GST.