Wits Business School (ETDs)

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    Attitude and acceptance of Artificial Intelligence technologies in the South African financial services. industry
    (University of the Witwatersrand, Johannesburg, 2024) Wotela, Ruth Rumbidzai; Maier, Christoph
    Despite Artificial Intelligence (AI) being topical, the successful adoption of AI technologies within organisations has been slower than expected. Literature and past research highlights the mixed and contradictory views and findings regarding employees’ attitude and acceptance of AI technologies, which challenge the successful implementation and use of AI technologies. Further, research on employees’ attitude and acceptance of AI technologies in emerging market economies, such as South Africa, and specifically within mandatory settings is limited. The purpose of this research was to investigate and determine factors influencing employees’ attitude and acceptance of AI technologies amongst employees within the financial services industry, where the use of AI technologies is mandatory. The Technology Acceptance Model (TAM) and the Technology-Organisation-Environment (TOE) framework were integrated and extended. This quantitative research study used a cross-sectional design. An online survey was distributed to employees within financial services organisations. A total of 410 valid responses were analysed using descriptive statistics, correlation analysis and regression analysis. Textual responses from the open-ended questions were categorised and presented visually in the form of word clouds. The research results indicate that each of the technological, individual, organisational, and environmental factors have a significant positive effect on attitude towards use of AI technologies. Multiple regression and stepwise regression analysis were used to identify the most influential determinants of attitude towards use of AI technologies from all the technological, individual, organisational and environmental factors. The results indicate that employee wellbeing, competitive pressure, perceived usefulness, management support, perceived ease of use, organisational justice and customer pressure are key determinants of attitude towards the use of AI technologies. The attitude-acceptance relationship is confirmed, as attitude towards use of AI technologies positively influences the acceptance of AI technologies. Although employees’ job roles do not moderate the relationship between attitude and acceptance of AI technologies, their experience with using AI technologies does. Based on these findings the ITOE model for implementing AI technologies is developed, and can be used to facilitate the successful implementation and use of AI technologies. The implications of this research, as well as recommendations for organisations and future research are also discussed.
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    The relationship between sustainability reporting and banks financial performance
    (University of the Witwatersrand, Johannesburg, 2023) Msimanga, Thokozani; Godspower-Akpomiemie, Euphemia
    Sustainability reporting, which involves environment, social, governance (ESG) is about reporting non-financial information regarding a company. It explains how the three sustainability components affect a company. ESG has gained significant popularity in the last ten years as new risk factors for investors are introduced by global sustainability concerns such as climate change, growing regulatory constraints, and social transformations. There is limited ESG-related research in South Africa, hence the aim of this study is to empirically evaluate whether sustainability reporting, improves financial performance and value for investors and other stakeholders. This has created a knowledge gap that may be investigated and used to start a discussion about the relationship sustainability has with financial performance from a South African banking perspective. This study’s data covered a 16-year period being, 2006 – 2021, across the six largest locally controlled banks listed on the JSE; Absa, Capitec, FirstRand, Investec, Nedbank, and Standard Bank. To examine for a statistical association, panel data regression analysis is used in this study.Multiple methods of estimation were considered, ultimately various diagnostic tests conducted concluded the fixed effects model as the most robust. A negative relationship with financial performance was found. Two models, Return on Equity and Tobin’s Q model showed a negative and significant relationship with the performance of banks. The Return on Assets model also indicated a negative relationship, but it was not statisticallysignificant. This indicates that an increase in sustainability reporting, leads to a decline in financialperformance from both an accounting and market perspective