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Faculty of Accounting and Informatics

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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.
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    The impact of technology in expediting learning
    (ACM Digital Library, 2019-12-21) Ramraj, Upaasna; Marimuthu, Ferina
    Technology and its tools have had a major effect on higher education and are set to continue. This simply cannot be ignored, as growth in Information and communication technology (ICT) is soaring. The advent of online learning, as a tool, has generated unlimited learning opportunities to intensify the educational landscape, by accelerating educational output. The digital native is fervent on the transition from traditional teaching methods to the use of digital tools in enhancing learning. This paper provides an account of the impact of technology and its tools on education, contributing to teaching and learning in the 21st century, ultimately leading to innovative education. A census survey of a purposive group of educational personnel were employed in the study and the data collection tool was a questionnaire, comprising of both a qualitative and quantitative component. Assuming learner positions, allowed educational personnel to “experience or get the feel” of being educated using technology and its tools. Analysis of data was concluded using a statistical software package (IBM SPSS). The Technology Acceptance Model (TAM) was the identified model for the study, signifying users’ perceived ease of use and perceived usefulness of technology are predictors of user attitude towards using the technology. Results of the study were largely favourable in facilitating the learning process, with constructive feedback on the use of technology-enhanced tools, especially surveys, journals, videos, discussion forums, blogs, concerning and ensuring interactivity as well as an enriched learning experience for all. However, a few respondents were apprehensive on the time management and technical aspects of online learning.
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    Perceptions of research structures and service quality within various faculties at Durban University of Technology: staff and students perspective
    (Business Perspectives, 2016) Ngibe, Musawenkosi; Lekhanya, Lawrence Mpele
    In order to compete, retain and attract postgraduate students, and overcome the lack of postgraduate throughput, universities of technology need to be more customer orientated. Therefore, to gain competitive advantage, university management needs to identify and assess the service quality gaps in research support structures and analyze the impact they have on students and staff within the university. The purpose of the study is to investigate the perceptions of staff and postgraduate students with regard to research structures and service quality support by relevant offices with specific reference to Durban University of Technology. Data were collected from academic staff and students across six faculties at the Durban University of Technology. The sample consisted of 278 academic staff and 260 postgraduate students, using a simple random sampling. A mixed method approach of qualitative and quantitative techniques was used, with a closed and open-ended questionnaire developed, by adapting the SERVQUAL instrument developed by Parasuraman et al. (1985), to evaluate and assess the quality dimensions (gap) for reliability, responsiveness, assurance and empathy. The findings of the study indicated that staff and students were dissatisfied with the research support structures across six faculties. Further research should aim at assessing performance management of research support structures and service within the relevant research offices.