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Research Publications (Accounting and Informatics)

Permanent URI for this collectionhttp://ir-dev.dut.ac.za/handle/10321/212

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Author: search.filters.author.Aroba, Oluwasegun JuliusSubject: search.filters.subject.Higher education

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    Higher education enterprise resource planning system transformation of supply chain management processes
    (Springer Nature Singapore, 2023) Aroba, Oluwasegun Julius; Chisita, Collence Takaingenhamo; Buthelezi, Ndumiso; Mthethwa, Nompumelelo; Yang, X.; Sherratt, R.S.; Dey, N.; Joshi, A.
    The goal of this study was to outline the impact of the enterprise resource planning (ERP) system digital transformation of supply chain management (SCM) processes in higher education by using the desk research technique to gather information from other sources that we reviewed to build our study and identify gaps that were detailed in the discussions and results. This study concentrated on higher education, and observation was made that ERP systems do not fully cover all business operations, including supply chain management procedures such as price fixing, bid rigging, and collusion between employees and suppliers; yet the study satisfied all three research objectives by providing a recommended key methodology to enhance the ERP system of SCM integration in higher education.
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    The adoption of an intelligent waste collection system in a smart city
    (IEEE, 2023-03) Mthethwa, Simphiwe M.; Xulu, Thuthukani; Msani, Nonsikelelo N.; Mohlakoana, Thuso T.; Ndlovu, Experience E.; Aroba, Oluwasegun Julius
    Solid waste management has become a significant concern in environmental issues. This can be a problem, especially in cities where the population is quickly developing, and the sum of waste produced is expanding like never before. Programs for innovative city waste can help raise proficiency, diminish costs, and improve the aesthetics of open places as cities endeavor to oversee waste in public regions effectively. This study enhances intelligent waste systems by developing innovative technologies and software as additional tools for collection. This research demonstrates how the SQERT model, a periodic trend analysis report specific to projects, will be used to assess the intelligent waste management system and the proposed software technology. Furthermore, A software prototype visualization was created to demonstrate and show how the software system will look and its functionalities to improve the waste collection system.