https://hdl.handle.net/10646/1375 2026-04-09T21:26:33Z https://hdl.handle.net/10646/4782 An investigation of the impact of big data analytics of firm performance on mobile network operators in Zimbabwe Makomo, Marvin The research aimed to investigate the impact of big data analytics on firm performance of mobile operators in Zimbabwe. The case of NetOne Cellular (Pvt) Ltd’, Telecel Zimbabwe and Econet Wireless. The research was both exploratory and descriptive in nature. The data was collected through the use of a questionnaire and face to face interviews. The target population was965 individuals comprising of all NetOne, Econet and Telecel employees both managerial and non-managerial employees. The sample drawn was of 275 individuals who were made up of executives, senior managers, middle managers, supervisors and operational level employees. The data was collated and presented with the help of tables and graphs. From the findings of the research it was concluded that there is a strong positive causal relationship between big data analytics management and corporate performance. The study showed that big data analytics infrastructure, analytics skills or knowledge and a unique mix of big data analytics capabilities is a critical determinant of corporate performance. It was recommended that mobile operators should develop an overall Big Data capability in order for them to gain a competitive advantage. To develop such an overall capability in Big Data, mobile operators should enhance their technological resources, use them to facilitate internal operations, encourage their employees to develop Big Data analytical skills, and align their Big Data competences with their strategic goals. The organization creates a culture that supports learning and work towards the minimization of organizational politics. 2020-01-01T00:00:00Z https://hdl.handle.net/10646/4763 An assessment of factors that determine the listing of Small to Medium Enterprises (SMEs) on the Zimbabwean alternative securities market Chitekuteku, Zvendi; Sandada, Maxwell The study was motivated by the lack of research on this phenomenon in Zimbabwe, as it sought to investigate the factors that may influence SMEs to register on the ASM. To achieve this objective, the study adopted a quantitative approach. Data was collected from a sample size of three hundred and thirty (330) which were selected through stratified random sampling. Factor analysis was used to identify the factors which determine the listing of SMEs on the ASM. The four factors which emerged were factor 1 (information accessibility), factor 2 (regulatory requirements), factor 3 (corporate governance), and factor 4 (SMEs support platforms).The findings indicated that information accessibility, regulatory requirements, corporate governance, and SMEs support platforms are important in determining SMEs listing on the ASM. The research article presents both the academic contribution and managerial implications of the findings and opportunities for future research are provided. 2016-01-01T00:00:00Z https://hdl.handle.net/10646/4762 The determinants of stock market participation: Evidence from individual investors in Zimbabwe. Sandada, Maxwell; Gumbo, McDonald The participation of individual investors at the Zimbabwe Stock Exchange (ZSE) is very low. The reasons for the low participation rate are not well known. It is from this background that this study sought to understand the major drivers of individual participation at the stock market with a view to devise strategies that enforce an improved participation. Using data collected from stock broking managers, asset managers, fund/ investment managers, regulators, and investment/research analysts, the findings indicate that financial education, social interaction, awareness, transaction costs, access to internet, cognitive skills, perceptions, life satisfaction, liquidity constraints and age are significant predictors of stock market participation by individual investors. However, gender, trust and health status are insignificant predictors. 2018-01-01T00:00:00Z https://hdl.handle.net/10646/4761 An investigation of the impact of big data analytics on firm performance of mobile network operators in Zimbabwe. Makomo, Marvin The research aimed to investigate the impact of big data analytics on firm performance of mobile operators in Zimbabwe. The case of NetOne Cellular (Pvt) Ltd’, Telecel Zimbabwe and Econet Wireless. The research was both exploratory and descriptive in nature. The data was collected through the use of a questionnaire and face to face interviews. The target population was965 individuals comprising of all NetOne, Econet and Telecel employees both managerial and non-managerial employees. The sample drawn was of 275 individuals who were made up of executives, senior managers, middle managers, supervisors and operational level employees. The data was collated and presented with the help of tables and graphs. From the findings of the research it was concluded that there is a strong positive causal relationship between big data analytics management and corporate performance. The study showed that big data analytics infrastructure, analytics skills or knowledge and a unique mix of big data analytics capabilities is a critical determinant of corporate performance. It was recommended that mobile operators should develop an overall Big Data capability in order for them to gain a competitive advantage. To develop such an overall capability in Big Data, mobile operators should enhance their technological resources, use them to facilitate internal operations, encourage their employees to develop Big Data analytical skills, and align their Big Data competences with their strategic goals. The organization creates a culture that supports learning and work towards the minimization of organizational politics. 2020-01-01T00:00:00Z