Faculty of Commerce, Law and Management (ETDs)

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Now showing 1 - 7 of 7
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    The readiness of Johannesburg Forensic Pathology Services for cloud computing adoption
    (University of the Witwatersrand, Johannesburg, 2023) Mofokeng, Ayanda Mohaba; Magida, Ayanda
    The research explored if Johannesburg Forensic Pathology Services is ready for the adoption of cloud computing. The readiness test uncovered some of the aspects that the adoption of cloud computing requires prior to its adoption. The use of Johannesburg Forensic Pathology Services as a case study demonstrated that the technology is flexible enough for use in any industry and/or environment. The readiness of the adoption was tested using known theories such as TAM, TOE and UTAUT to expose the possible adoption methodologies that can be implemented. The cloud computing readiness investigation has been documented to demonstrate the benefits that can be attained. The mentioned theories have shown the level of readiness of the case study based on the findings that this research has attained with the use of population sampling and other sources from past literature that had similar or corresponding intentions. The reasoning for the readiness is based on common findings from past investigations and inductions made in this research. This was based on the general understanding of the research that the adoption must be fitting for a government institution that belongs to the public administration in a developing country. Cloud computing has been used in the public space by several different governments with varying economies and leadership traditions. Some international governments have been used as examples after adopting cloud computing, either partially or fully, in their government. This served in demonstrating the possibility of a public entity in using the technology to harness the capabilities of cloud computing. The case study is a government institution that requires a high level of security and control measures for the sensitive and confidential information kept in the facility. The research has demonstrated how the institution can gain greater control of the challenges. The readiness of the case study has been presented herein after intensive data collection and analysis of the findings.
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    The adoption of Insurance Technology solutions by customers in South Africa
    (University of the Witwatersrand, Johannesburg, 2023) Sibanda, Gift Sipho; Sethibe, Tebogo
    This research study investigated factors driving customer adoption of Insurance Technology solutions or InsurTech in the insurance industry and what insurers should do to ensure positive acceptance of Insurance Technology by customers in South Africa. The research used the Unified Theory of Acceptance and Use of Technology (UTAUT) model. This study is essential as incumbent insurance and InsurTech companies have been investing in Insurance Technology solutions to offer affordable insurance solutions at lower operating costs; however, adoption of these technologies by customers remained low. The study used a quantitative methodology and an online questionnaire with 37 questions following the UTAUT model to collect data. This research study focussed on insurance and non-insurance customers in South Africa. A broker and an InsurTech company distributed the survey amongst insurance clients. The respondents were also derived from LinkedIn and the referrals by the network of the researchers. A total of 213 respondents attempted the online survey, although some still needed to complete the entire survey, which led to differing totals against different constructs. In addition, the construct scores were calculated for items with a missing value of less than 50% of the inferential statistics. As a result of the missing values, the sums for the various structures varied. According to the research study's findings, consumers' behavioural intention to utilize Insurance Technology solutions is significantly predicted by two main variables: performance expectancy and effort expectancy. Furthermore, general awareness and understanding, attitude, and trust where highlighted as important predictors. The study's findings highlighted several factors that prevent insurance technology adoption, including a lack of product and technology information, mobile data, internet security, and awareness. The study also found that easily accessible information, accessible technology, and ease-of-use were enablers of Insurance Technology 3 solutions adoption by customers. The study provides more insights into what insurance companies need to focus on to increase customers' adoption and use of Insurance Technology solutions. The study contributes to the body of knowledge and future studies on factors influencing the adoption of customers' adoption of Insurance Technology solutions
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    Factors influencing the adoption of m-commerce platforms by individuals in South African townships
    (University of the Witwatersrand, Johannesburg, 2022) Mashishi, Mogau; Primus, Mpho
    Since the COVID-19 pandemic outbreak in 2020, there has been an increase in the adoption of e- commerce (electronic commerce) from which m-commerce (mobile commerce) was born. M- commerce is the use of a mobile phone to purchase goods and services. M-commerce is flexible because it is easily accessible and convenient. In addition, the rise of smartphones and internet availability has also contributed to the increase in m-commerce. The South African digital economy has developed drastically over the past years due to infrastructure development, including internet connectivity. The majority of the South African population resides in townships and rural areas and contributes significantly to the economy. Internet accessibility advancement in townships has led to more consumers purchasing goods and services online in the comfort of their homes. The study researched m-commerce adoption in South African townships by determining the factors that affect m-commerce adoption in South African townships. The study only focused on two townships in Johannesburg: Soweto and Tembisa. A conceptual research model based on the following factors from the UTAUT2 technology model: performance expectancy, hedonic motivation, and facilitating conditions, with social media and trust as two additional constructs. A digital online survey was used to collect respondents’ data was analysed quantitatively using SPSS. The findings of the study are discussed in detail, including testing the hypotheses formulated. Firstly, the results indicated that social media and perceived security have a significant, positive effect on the trust of South African township residents to adopt m-commerce platforms. Secondly, performance expectancy, hedonic motivation, trust, and facilitating conditions positively affect the intention of South African township residents to adopt m-commerce; however, trust and facilitating conditions were insignificant.
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    Factors influencing the adoption of mobile banking among lower-income groups in Gauteng
    (University of the Witwatersrand, Johannesburg, 2022) Msimanga, Bongani; Magida, Ayanda
    The focus of the study was to determine factors that influence the adoption of mobile banking among lower income groups in Gauteng. The theoretical framework was based on TAM, UTAUT, Theory of Perceived Risk and Trust Transfer Theory. (SPSS v27) was used to check the quality of the data from 200 respondents in Cities, Towns and Townships in and around Gauteng where data was collected using a self- administered survey to address the research objectives. This quantitative study aimed to investigate the role of Perceived Trust (PT), Perceived Ease of Use (PEOU), Perceived Cost (PC), Perceived Risk (PR), and Facilitation Conditions (FC) in the application of behavioural intention (BI) towards mobile banking services. The initial hypotheses for the following constructs were supported: PC was accepted to have a negative effect on BI; PEOU was accepted toe have a significant positive effect on BI; PR2 was found to have a significant effect on BI; and FC had a significant positive effect on BI. However, the initial hypothesis for PR1 was rejected because it had no significant effect on BI. Age and PEOU variables had no significant relationship, and the hypothesis of income and PC having a significant relationship was also rejected. In the past there are studies that looked at mobile banking adoption in South Africa. However, none of them have focused of mobile banking adoption among lower income groups in Gauteng. This study focuses on factors influencing adoption of mobile banking among lower income groups in Gauteng where they are found to be an important contributor to financial institutions
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    Investigating the Critical Factors Affecting Citizens’ e-Government Adoption in South Africa
    (University of the Witwatersrand, Johannesburg, 2023) Jumbe, Phumelele; Myayise, Thembekile
    Over the past several years, the rapid advancement of innovative technology has resulted in the expansion of electronic government (e-Government) practices as a novel paradigm for enhancing the provision of public services. Numerous governments worldwide are looking to capitalise on these advancements and see e-Government as a key driver of service efficiency and effectiveness. Unfortunately, e-Government implementation is complex and developing countries, in particular, face greater challenges than their counterparts. This places a greater burden on developing-country governments to develop better policies and strategies in order to facilitate the widespread e-Government uptake. This study investigated the critical factors affecting e-Government adoption in a developing country, South Africa. It used a hybrid TAM- UTAUT model, to explore the critical factors that drive the adoption of e-Government among South African citizens. The study addresses a gap in the e-Government literature in South Africa by presenting a model that government, policymakers, and administrators can employ to effectively expand the country's e-Government implementation program. The survey data collected from 238 respondents underwent analysis using the structural equation modelling (SEM) technique, with IBM SPSS tools utilized for the examination. This study revealed that Trust in e-Government, Performance Expectancy, Social Impact, Facilitating Conditions, Accessibility, and Perceived Enjoyment are pivotal factors influencing the adoption of e- Government among citizens in South Africa. While previous studies suggested age as a moderating variable between Performance Expectancy, Effort Expectancy, Social Impact, and the Behavioural Intention to Use e-Government Services, this study found that age does not act as a moderating variable among these factors. These findings contribute to theoretical understanding of how constructs commonly used in e-commerce can be applied to the e- Government setting, and can further assist the South African government and policymakers in developing effective e-Government policies to support the South African government's renewed approach and program, which aims to transform South African public service into an inclusive digital society where all citizens can reap the benefits of digital technology
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    Key drivers that influence South African customers to purchase food products through e-commerce platforms
    (2021) Mokgofa, Keitumetse
    E-commerce has become one of the most popular platforms used by customers to shop for various products at their convenience. Whilst customers are using e-commerce to shop for wide range of products within the business to consumer business (B2C) model, it has been reported that buying food online is not that popular with customers as compared to other items like clothing and electronic products in South Africa. This study was undertaken to investigate the key drivers that influence South African customers’ behavioural intention to buy food products through online platforms. Technology Acceptance Model (TAM) and Unified Theory of Acceptance and Use of Technology (UTAUT2) theoretical frameworks were used as a lens for this study. E-satisfaction was added as a moderating variable to examine its effect on the relationship between perceived usefulness (PU) and perceived ease of use (PEoU) and behavioural intention (BI). This quantitative study adopted a convenience sampling method and an online questionnaire through Ms Qualtrics was used as a research instrument for data collection. The data was collected from 425 South African customers. Confirmatory Factor Analysis(CFA) technique was used for data analysis on Jamovi 1.6.13 software for hypothesis testing and thereafter multiple regression testing was done to accept or decline hypothesis test formally. Based on the results, all stated hypotheses are supported and signifies that all the factors researched positively influence customers’ behavioural intention to buy food products online. This study will assist both online and general food products retailers to formulate strategies that incorporate the key drivers affirmed by the results. It will also contribute to the limited literature available, pertaining to this sector in South Africa
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    The adoption of intelligent robot automation by auditors within South Africa
    (2021) Naidoo, Evaashan
    To automate, or not to automate, that is the question? The use of disruptive technologies has changed, and in many instances, has replaced traditional business operations and models. The auditing profession has been burdened with high costs and reputational damage as a result of false results due to a high dependency on manual tasks that are susceptible to errors or manipulation. The use of robots to help minimise these errors, achieve efficiencies and reduce costs, provides a convincing theoretical case to automate. The objective of this research is to apply the Unified Theory of Acceptance and Use of Technology (UTAUT) model to understand the views of audit professionals determine the factors that would influence organisations to use robot technology for performing audits in South Africa. The study adopted a quantitative approach, where a survey questionnaire consisting of 39 questions, aligned with the UTAUT model, was used to gather data. The sample comprised 59 auditors and 26 non-auditors who were involved in audits performed in South Africa. The non-auditors comprised of a Chief Information Officer, Finance Managers, Heads of Product, and various Senior Risk Management Professionals. A purposive sampling technique was used to select individuals who had an understanding of the capabilities of robots, and the potential use of robots to support business operations. The results of the study highlighted that performance expectancy and facilitating conditions were the key factors that influenced the adoption of robots in audits. Auditors and clients were more likely to use robots if they felt it would improve their performance. The respondents were more likely to use robots if it enabled the quicker completion of tasks, reduced errors, increased the number of tasks that could be completed and delivered better value than manual processes. The study also highlighted that sufficient investment and management support would be provided to ensure that an enabling environment is established for using robots to perform audit tasks. This would include acquiring management support as well as finding hardware, software, and skills to support the robotics development initiatives. The study provides more insight on how leaders and management in the auditing field can use insights attained through this study to successfully influence and support the use of robots to perform audits. Furthermore, the study contributes to an increased used of robotics in auditing which could improve the quality and efficiency of the auditor’s work. The study contributes towards the body of knowledge in the accounting and robot fields of study