Faculty of Commerce, Law and Management (ETDs)

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Subject: search.filters.subject.Banking Sector

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    Evaluating the perceived existence of racial profiling and income inequalities in the South African banking sector
    (University of the Witwatersrand, Johannesburg, 2020-10) Diphoko, Tebogo Mogosi; Chakamera, Chengete
    The purpose of the study was to investigate inequality of outcomes and opportunities. Inequality of outcome in the context of the role that education played in narrowing the income inequality gap. Inequality of opportunities in the context of disparities in financial services access by way of racially profiling and subsequently the role that media played in perpetuating the notion of racial profiling in the South African banking sector. The research strategy utilised was quantitative with the research design being the cross-sectional research design. Moreover, the data collection instruments applied in this study was the fully structured questionnaire. Analytical methods include frequencies and correlations. The results indicate that education does not narrow income inequality in the South African banking sector. This finding was confirmed by the hypothesis testing where the null hypothesis was not rejected which concluded that education is not significantly recognised to influence income inequality in the South African banking sector. The results in relation to the second research questions indicated that disparities in financial services access by way of racial profiling does exist. Subsequently, this was confirmed by the hypothesis testing where the null hypothesis that suggested that the disparity does not exist was rejected. Meaning, that the banking sector do profile their clients. Results in relation to the third research questions indicate that the notion of racial profiling is a phenomenon that had been personally experienced by individuals rather than perpetuated by media coverage. The main recommendation of this study was that banks must have a transparent credit scoring system during the credit application process, so that it can demystify the notion of discrimination. Furthermore, the study recommends that the definition of the term racial profiling be added to literature to providing a platform for future study replication. In terms of value addition, this study is one of the first research papers to contribute to the pool of knowledge and to investigate the role of education in narrowing income inequality and the existence of racial profiling in the South African banking sector. Thus, providing a platform for future replication in other sectors and expansion on the topic.
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    The Role of Leadership in Driving Digital Transformation in the South African Financial Services Sector
    (University of the Witwatersrand, Johannesburg, 2023) Ngxola, Nomonde; Gobind, Jenika
    The purpose of the research is to provide an all-encompassing definition of Digital Transformation (DT) amid a sea of definitions and propose drivers that leaders operating in the South African Financial Services Sector can use to drive Digital Transformation within their respective organisations, not only as a mere project but also being mindful of the personal influence their role as leaders has on the success of a DT process (Bordeaux, 2019). From a systematic review of 100 peer-reviewed articles, the literature suggests there are seven common and key drivers of the Digital Transformation process. These were identified as digital business strategy, a review or augmentation of the organisations business model, big data-driven processes, process automation, customer centricity, digital competency, and culture (Bhardwaj et al., 2013). The literature also reflects the influential role that leaders play in the DT process through their traits and abilities (Kaidalova, Sandkuhl & Seigerroth, 2018). A close examination was made of the evolution of leadership theories: The Great Man Theory being the starting point, was premised on the leader’s abilities resting solely upon leader themself, believed to be born with a set of traits and behaviour that automatically deemed them leadership worthy (Cherry, 2019). During this era, the notion of leader development and training was not given thought (Hartl & Hess, 2017). The leader was according to this theory born and carried their own innate talents and capabilities to lead devoid any form of development and advancing. The paper seeks to explore the evolution of leadership theories that evolved from the trait and behavioural theories to that of transformational leadership, which looks specifically at leaders in relation to their subordinates to the latest DT theories to test for similarities, plus outliers when considered with respect to the methodological finding Additionally, the research incorporated notable barriers to the digital transformation process as noted by the leaders that were interviewed in the study. Themes of digital denialism, deflation and discomfort surfaced and were explored at length. vi The study adopted an exploratory sequential mixed methods approach compromising of qualitative content analysis and thematic analysis of semi-structured interviews using creative methods of extraction. The population sampled consisted of a group of Chief Information Officers, Chief Technology Officers, and Digital Heads of Business.
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    The Factors Influencing the Adoption of Big Data in the Financial Services Sector in South Africa
    (University of the Witwatersrand, Johannesburg, 2023) Toma, Upenyu; Ndlovu, Chiedza
    This investigation examines factors influencing the adoption of big data in the South African banking sector. The dearth of studies on big data in the sector inspired the research. The investigation interrogates factors that influence the adoption of big data using the TOE model. The study used a total of 173 respondents across 53 South African banks. The primary data analysis model used was linear regression. The study’s findings are as follows: [1] Government regulations, competitor’s actions, and customer demands significantly influence adoption of big data. [2] Technology has a significant influence on the adoption of big data. [3] Organizational factors have a significant influence on the adoption of big data. Regression analysis showed that the dependent variable, big data adoption, is either positively or negatively affected by the study's variables. The study conducted a hypothesis test, which showed enough evidence to accept all alternative hypotheses suggesting a relationship between the variables and big data adoption. The study concludes that factors in the TOE model influence the rate of big data adoption in the banking sector. The study recommends that the government reduce regulations hindering big data adoption. The industry is encouraged to invest in big data for sustainable competitive advantage.