Browsing by Author "Goriwondo, W.M."

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    Effectiveness and impact determination for Enterprise Resources Planning Systems: A case for manufacturing entities in Zimbabwe
    (NUST, 2021) Nduna, M.; Goriwondo, W.M.; Tayisepi, N.; Goriwondo, W.M.
    The research looked at utilization and impact of Enterprise Resource Planning (ERP) systems for manufacturing organizations in Zimbabwe. Existing literature on adoption of Enterprise Resource Planning systems, its utilization and benefits realized was reviewed. A survey of eighteen Zimbabwean manufacturing organizations was conducted to establish the utilization of Enterprise Resource Planning systems. The survey centered on operational, strategic, managerial, and Organizational functions and their interaction with the Enterprise Resource Planning systems. The strategic, managerial, and Organizational functions, results reflected positive feedback on the system usage. Operational functions had mixed responses with an overall of 58% being positive and 42% negative. Various impact dimensions were determined and mechanisms of effectiveness in the application of ERP systems established. The research went on to develop a tool using C-Sharp that organizations can use to determine their level of Enterprise Resource Planning system utilization and gave recommendations on how organizations can improve on their Enterprise Resource Planning system utilization for competitive advantage.
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    Zimwara, D., Maphosa, E., Goriwondo, W.Modelling the environmental impacts of noise and dust from quarry stone mining in Harare–a case study of Pomona Quarry
    (NUST, 2021) Zimwara, D.; Maphosa, E.; Nyadongo, S.T.; Goriwondo, W.M.
    Granite quarry mining has contributed significantly to infrastructure development of many nations and Zimbabwe is no exception. However it has also contributed to environmental pollution and other socio ecological ills. This study investigated the environmental impacts of quarry stone mining and processing at Pomona Quarry mine in Harare. Ambient noise and dust concentrations were measured at different distances and directions from the source. The correlation between the distance and noise level as well as dust concentration were carried out to determine a safety zone from the quarry mine. Multiple regression analysis of the data was conducted and a model developed for the prediction of noise and dust levels.