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Mlitwa, Nhlanhla
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Computer Science & IT

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Enhancing Procurement Efficiency in South Africa through e-Reverse Auction Systems Achieng, Mourine S; Ogundaini, Oluwamayowa O.; Mlitwa, Nhlanhla
Journal of Information System and Informatics Vol 6 No 4 (2024): December
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v6i4.877

Abstract

The application of advanced technologies such as real-time trend analysis, business intelligence and procurement systems enhance business processes by facilitating informed decision making, driving digital transformation, and fostering growth. However, there remains a limited empirical understanding of the adoption and impact of electronic reverse auctions (eRA) systems in South African business sectors. The study aimed to identify how using eRA systems can improve procurement processes in South African business. A qualitative methodology was adopted to investigate the aim of the study. Data was collected using semi-structured interviews with 18 participants who were purposively sampled. The findings show that the primary benefits of eRA system usage include enhanced competitiveness, cost efficiency, transparency and strengthen buyer-seller relationships. Key outcomes for these benefits include increased supplier participation, lower procurement costs, a clear and open bidding process, and better communication between buyers and sellers. This study’s contribution is that, when used cautiously with identified risks eRA systems can streamline, standardize, and regulate procurement practices in South Africa’s business sectors. Drawing on the DeLone and McLean Information System Success Model, this paper highlights the dimensions by which eRA systems used in procurement processes can be evaluated to better understand and leverage their benefits within business.
Exploring the Determinants of Advanced Big Data Analytics Adoption in Zimbabwe’s Telecom Sector: A TOE Framework Analysis Ngwendere, Jethro Simbarashe; Mlitwa, Nhlanhla
Journal of Information System and Informatics Vol 7 No 1 (2025): March
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v7i1.1008

Abstract

The way in which organisations conduct business has been revolutionised by Big Data Analytics (BDA). Several organisations have experienced improved productivity and effectiveness from the insights resulting from BDA which in turn impacts economic development. The adoption and use of BDA in the Zimbabwean telecommunication industry was limited. The aim of the research was to identify the factors limiting the adoption and usage of BDA within the Zimbabwean telecommunications industry. The objective of the research was therefore to pinpoint impediments which would then inform recommendations to improve the adoption and use of BDA in the Zimbabwean telecommunications industry. The study adopted critical realism and the Technology Organisation Environment (TOE) framework to identify the causal forces limiting the adoption and use of BDA. The findings indicate that IT infrastructure, service quality, senior management support, skills and expertise, financing, government policy, and economic conditions are the primary factors affecting BDA adoption.
Co-Authors Achieng, Mourine S Ngwendere, Jethro Simbarashe Ogundaini, Oluwamayowa O.