Electronic Theses and Dissertations (Masters/MBA)

Permanent URI for this collectionhttps://hdl.handle.net/10539/37942

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    The revenue model of an online South African stockbroking platform
    (University of the Witwatersrand, Johannesburg, 2024) Bester, Wesley Ryan; Godspower-Akpomiemie, Euphemia
    As technology advances at an unprecedented pace, many businesses and industries must adapt to the increasingly digital world. The online stockbroking industry is no exception and requires significant attention and change to keep up with the times. Business and revenue models in the stockbroking industry in South Africa have remained essentially unchanged over the past few decades. The variable-rate brokerage fee charged on transactions executed remains the primary source of income. This revenue model has rapidly become unsustainable with the decrease in these fees over the past few years. The study's main objective is to investigate revenue models that are more suitable for the digital trading environment. The study examines the background and appropriateness of alternative revenue models and platform models, along with the use of prospect theory to guide customer preferences. This quantitative case study utilises secondary data from a South African bank's online stockbroking division, analysing over 334,000 trades over 10 years. The entire dataset is analysed by looking at its descriptive, and inferential statistics, as well as time-series analysis. The study investigates the relationship between frequency, transaction amount, and their effect on brokerage over time, along with their association using the Chi-square model. Secondly, a model is built to predict a fixed monthly subscription fee for clients to replace the outdated variable-rate brokerage model. Clients will then choose a model of best value to answer the second research question. The study addresses two hypotheses, it also finds brokerage fees highly correlated to transaction values and inversely related to trade frequency. Based on the results, the model developed can effectively predict future fixed monthly subscription fees for online stockbroking platforms.
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    The role of data analytics in formulating a business model in the South African metals manufacturing sector
    (University of the Witwatersrand, Johannesburg, 2020) Maimela, Kelebogile; Munkuli, Bongani
    Technological advancements are a contributing factor to the success of any business, especially with globalisation mandating flexibility within businesses. The survival of the metals manufacturing companies is dependent on many variables, but the focus will be placed on the role of data analytics in business models. A quantitative approach was used to collect the data utilising Qualtrics software and data were recorded on Excel before being coded and then loaded onto the Statistical Package for Social Sciences (SPSS) software system. All employees in the metals manufacturing companies in South Africa made up the population for this study. The results revealed a relationship between data analytics and business insight involved in developing a business model. In the absence of data, the level of success in decision making is compromised. Over 80 percent of respondents emphasised the importance of data required in making decisions. The ability to make informed decisions gives companies a competitive edge, but a dynamic capability is evidenced through people’s experience in data analysis. The data collected were analysed using quantitative data analysis tools such as chi-squared tests and Cramer’s phi tests, which indicated that data play a pivotal role in developing business models
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    Future business models of automotive OEMs in South Africa
    (2023) Govender, Jheronisa
    This report considers the influence of technology on the automotive OEM business model and looks at the business model options that exist for OEMs in South Africa in the future. A qualitative research methodology was utilised, and the research found that technology has a profound impact on the business model. New technology such as electric vehicles and autonomous vehicles are rapidly entering the automotive environment. As a result, sustainability and protection of the environment is a massive topic for the industry. Additionally, the impact of new technology and disruption to the automotive world will result in new business models, new customers and new ways of operating