Electronic Theses and Dissertations (Masters/MBA)

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

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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