Research Publications (Accounting and Informatics)
Permanent URI for this collectionhttp://ir-dev.dut.ac.za/handle/10321/212
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Item A systematic review of information and communication technologies (ICTs) on student motivation : researchers’ reflections on a selected higher education institution (HEIs)(2024-07-21) Nhleko, Nhlanhla Mzameleni; Aroba, Oluwasegun Julius; Chisita, Collence TakaingenhamoPurpose Through the review of several journal articles on the adoption of information and communication technologies (ICTs) and how it impacts students’ motivation to continue with their studies or to drop out of their academic program, this study aims to review the literature on the impact of ICTs on student motivation at a university. Design/methodology/approach This paper is based on a systematic literature review steered by the PRISMA guidelines. This paper uses both Durban University of Technology subscription-based and publicly available papers. The research articles examined were published between 2018 and 2023 in Scopus, Web of Science and ScienceDirect. Findings Reviewed literature bespeaks that ICTs can increase student motivation by enhancing interactive, engaging and individualized learning. Digital technologies that engage students and offer a more engaging learning environment include instructional apps, online simulations and multimedia content. Using ICTs may be useful in lowering university dropout rates. Originality/value The systematic review yielded valuable insights for both academic research and real-world applications in education regarding the Durban University of Technology. The study offers a comprehensive analysis of the nexus between ICTs and student motivation.Item An implementation of SAP enterprise resource planning : a case study of the South African revenue services and taxation sectors(Informa UK Limited, 2023) Aroba, Oluwasegun Julius; Abayomi, AbdultaofeekA SAP enterprise resource planning (ERP) is a software system that assists organizations in automating and managing fundamental business processes for ideal performance. This research study aims to ameliorate the business operation problems of the South African Revenue Services (SARS) and Taxation sectors. Involving tax sectors in the preliminary stages of SAP ERP design and implementation saves SARS’ clients some resources such as money and time while also allowing various departments to improve their tax technology ecosystem. To address the associated financial, operational, technical, and compliance challenges, an ERP implementation requiring significant support from strategy execution is suggested. This proposed model for designing and implementing an ERP with a case study of the South African Revenue Services (SARS) and other taxation sectors, the benefits of ERP system within the taxation sector, implementation challenges, and proposed solutions are presented in this article while utilising data from a survey that was conducted for 50 SARS employees and taxpayers outside the organization. The proposed ERP system will enhance the connectivity of all operations within the SARS with a central access to all departments rather than having silos of business operations. From our analysis, the Cronbach report of 0.85 obtained, which is greater than 0.7 minimum, shows that it fits the proposed solution of a SAP ERP mobile app for inclusivity in the operational processes for both SARS employees and other taxpayers.Item 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.Item A review : the bibliometric analysis of emerging node localization in wireless sensor network(2023-07-31) Aroba, Oluwasegun Julius; Nalindren, Naicker; Timothy, Adeliyi; Avintha, Gupthar; Khadija, KarodiaAs research in Node localization in WSN becomes ubiquitous, there is a dire need to interpret and map the increasing scientific knowledge and evolutionary trends so that a firm foundation can be laid for identifying knowledge gaps and advancing the domain. There is a critical need to interpret and map the expanding body of scientific knowledge and evolutionary trends as Node localization research in WSN spreads widely to establish a solid foundation for identifying knowledge gaps and developing the domain. Hence, this study aims to undertake a bibliometric analysis of node localization approaches. The Scopus central assemblage database was searched for titles that included "node localization", "wireless sensor network," and "WSN". A total of 1618 documents were published within the nineteen-study period (2003 - 2022). Microsoft Excel 365, R Bibliometric and Biblioshiny packages were implored for statistical analysis of approved published research articles. This study highlights the trends and current state of node localization research in WSN. It can aid researchers in gaining a thorough understanding of the most recent node localization techniques used in WSNItem Improving supply chain management processes through digital transformation of ERP systems in the oil and gas industry(2023-08-03) Aroba, Oluwasegun Julius; Prinavin, GovenderThis research investigates the changes caused by cloud computing Enterprise Resource Planning (ERP) systems in the oil and gas industry at different levels of organisational structure, processes, supply chain management, and employee management processes across an entire organisation. This research improved on the use of digital transformation and Enterprise Resource Planning (ERP) and its impact on supply chain management with a desktop study approach. This study aims to enhance how ERP integrated software package for the oil and gas industry is implemented in supply chain management operations. The study uses a qualitative approach to establish high-performance operational processes and administers questionnaires to oil and gas companies. Data collection was carried out through questionnaires. The researchers implemented cloud ERP after giving survey questions to managers in the supply chain of oil and gas firms and assessing their responses. The results show a positive impact that will come with cloud ERP implementation in oil and gas companies. Since the result is higher than 0.70, as evidenced by the analysis's 0.81 Cronbach Alpha reliability co-efficient score, the qualitative analysis' output is homogeneous. Oil and gas firms may maintain complete control over storage costs while instantly satisfying consumer demands thanks to the supply chain management system.Item An SAP enterprise resource planning implementation using a case study of hospital management system for inclusion of digital transformation(2023-07-31) Aroba, Oluwasegun Julius; Adefemi Oluwaniyi, Owoputi; Temitayo, Mathew FagbolaEnterprise resource planning (ERP) system implementation necessitates substantial organizational and technological changes. These will have an impact on system stakeholders with various viewpoints and interests. It is crucial to analyze stakeholders in these situations and others like them to comprehend their attitudes and expectations toward the system. This experience report discusses problems with a medical institution's regular SAP ERP setup. This report includes insights and suggestions based on traditional system experience regarding a project to adopt SAP ERP at a healthcare facility. It ought to be a beneficial resource for all parties participating in the ERP installation process in the public healthcare sector. Many hospitals struggle to implement system analysis programs (SAP) and enterprise system programs (ERP) to assist in their business processes. The SAP ERP System is an integrated and consolidated way of easily flowing information within the organization's department. The authors identified hospitals' failure to implement a suitable SAP ERP system that works under their operations, leading to inefficiencies in their supply chain management process. This study addresses significant operational issues and productivity of the hospital management processes by administering 50 questionnaires and using Cronbach's alpha to analyze the responses. The Cronbach alpha is considered acceptable if the result is above 0.70. Our Cronbach result is 0.77. The benefits and difficulties of using SAP ERP provide a comprehensive review of the operations of Hospital and Healthcare Centre SAP ERP system digital transformations in supply chain management. Furthermore, the authors developed a framework to assist in choosing the proper tracking and transferring of information within the hospital technology that we named hospitecItem Analysis of road traffic accidents severity using a pruned tree-based model(International Information and Engineering Technology Association, 2023-06-30) Adeliyi, Timothy T.; Oluwadele, Deborah; Igwe, Kevin; Aroba, Oluwasegun JuliusTraffic accidents are becoming a global issue, causing enormous losses in both human and financial resources. According to a World Health Organization assessment, the severity of road accidents affects between 20 and 50 million people each year. This study intends to examine significant factors that contribute to road traffic accident severity. Seven machine learning models namely, Naive Bayes, KNN, Logistic model tree, Decision Tree, Random Tree, and Logistic Regression machine learning models were compared to the J48 pruned tree model to analyze and predict accident severity in the road traffic accident. To compare the effectiveness of the machine learning models, ten well-known performance evaluation metrics were employed. According to the experimental results, the J48 pruned tree model performed more accurately than the other seven machine learning models. According to the analysis, the number of casualties, the number of vehicles involved in the accident, the weather conditions, and the lighting conditions of the road, is the main determinant of road traffic accident severity.Item An ERP SAP implementation case study of the South African Small Medium Enterprise sectors(Step Academic, 2023-06-01) Aroba, Oluwasegun JuliusPurpose – This research examines the enterprise resource planning system (ERP) SAP implementation in SMEs. Small and Medium Enterprises (SMEs) are challenged by their use of manual working style and operations preparations. Human errors in the preparation and execution of important documents such as financial statements, invoices, purchase orders, and internal sales orders have been overcome by business Intelligence processes that computerize every document, efficiently store, Retrieved, and quickly send or receive copies. Methodology – This research proposed solution is an ERP theoretical proposed solution and information evaluation pertinent to the investigation of how to continue and monitor the performance of the ERP SAP procurement process in SMEs. This research technique examines difficulties and suggests solutions. It also includes the stages of the procurement process and the benefit of the enterprise resource planning process, use cases and tables were used to represent the findings generated. Other elements contributing to the ERP procurement process are examined, including the challenges and solutions SMEs face. Furthermore, research on enterprise resource procurement and business intelligence (ERPBI) is conducted to gain in-depth knowledge on how the performance of ERP procurement, including ERP SAP, has been monitored in the existence of SMEs. Findings - ERP implementation and SMEs' outcomes were studied using the explorative approach. To validate the model being created, eight individuals from Business and academia with experience in ERP systems were contacted during the development of the tools. The overall findings offer helpful hints on how organizational and operational elements interact to ensure the successful implementation of ERP. Implementing ERP systems is considered both from the process and organizational learning and knowledge management perspectives. Practical Implications – ERP companies concentrate more on SMEs due to the nearsaturation of ERP adoptions in Large Enterprises (LE). Additionally, many SMEs are implementing ERP systems due to globalization, collaboration, value networks, and the massive information flow between and within SAMEs today. Adoption risks stem from SMEs' limited resources and unique qualities that set them apart from Large Enterprises (LE). This article's primary goal is to highlight the aspect of the ERP in the SME domain that needs further research, suggest future research directions, and give the most recent research findings that could help buyers, suppliers, and SMEs when starting ERP projects. More so, there are advantages to implementing an ERP system successfully. However, there is already evidence of substantial failure risks in ERP implementation projects. The non-technical parts of the implementation project are frequently neglected or given less attention by the project managers, who, instead, concentrate primarily on the technical and financial aspects of the project. Therefore, the study of ERP deployment success is one of the key research topics in ERP systems today. Research Limitations – This study contributes to the knowledge of SMEs' ERP intelligence and procurement process implementation.Item Smart face masks for COVID-19 pandemic management : a concise review of emerging architectures, challenges and future research directions(Institute of Electrical and Electronics Engineers (IEEE), 2023-01-15) Fagbola, Temitayo Matthew; Fagbola, Funmilola Ikeolu; Aroba, Oluwasegun Julius; Doshi, Ruchi; Hiran, Kamal Kant; Thakur, Surendra ColinSmart sensing technology has been playing tremendous roles in digital healthcare management over time with great impacts. Lately, smart sensing has awoken the world by the advent of smart face masks (SFMs) in the global fight against the deadly Coronavirus (Covid-19) pandemic. In turn, a number of research studies on innovative SFM architectures and designs are emerging. However, there is currently no study that has systematically been conducted to identify and comparatively analyze the emerging architectures and designs of SFMs, their contributions, socio-technological implications, and current challenges. In this article, we investigate the emerging SFMs in response to Covid-19 pandemic and provide a concise review of their key features and characteristics, design, smart technologies, and architectures. We also highlight and discuss the socio-technological opportunities posed by the use of SFMs and finally present directions for future research. Our findings reveal four key features that can be used to evaluate SFMs to include reusability, self-power generation ability, energy awareness and aerosol filtration efficiency. We discover that SFM has potential for effective use in human tracking, contact tracing, disease detection and diagnosis or in monitoring asymptotic populations in future pandemics. Some SFMs have also been carefully designed to provide comfort and safety when used by patients with other respiratory diseases or comorbidities. However, some identified challenges include standards and quality control, ethical, security and privacy concerns.Item Adoption of smart traffic system to reduce traffic congestion in a smart city(Springer Nature Switzerland, 2023) Aroba, Oluwasegun Julius; Mabuza, Phumla; Mabaso, Andile; Sibisi, PhethokuhleCities across the world suffer significantly from traffic congestion. Governments are trying to harness the power of today's computing, networking, and communication technologies to build system that can improve the efficiency of current road traffic and conditions. The study investigated the purpose efficiencies of intelligent system to assess their performance. Considering the findings, it can be said that traffic flow forecasting (TFF) possibilities are numerous, involve a variety of technologies, and can significantly reduce most traffic issues in smart cities. The studies were later evaluated to find similarities, content, benefits, and disadvantages of traffic congestion. By applying the project management tools such as the performance metrics and SQERT model were used to evaluate and prioritize the state-of-the-art methods. A classical model was proposed to improve upon and determine the traffic dangers that affect road users and aggregate the information about traffic from vehicles, traffic lights, and roadside sensors. These on-road sensors (ORS) performance are used for analyses such are vehicle classification, speed calculations, and vehicle counts.