Electronic Theses and Dissertations (Masters/MBA)

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

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Subject: search.filters.subject.Implementation

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    Implementation of digital transformation in a public entity
    (University of the Witwatersrand, Johannesburg, 2023) Mokhabela, Kolwani Star; Magida, Ayanda
    Public entities strive to have digital transformation in their organisations; they strategise and organise themselves; however, they face challenges with implementation. This study aims to investigate the progress that one South African public entity (PE) has made towards digital transformation, the processes followed in implementing, unpack the challenges and recommend strategies that any public entity can use for better future implementations. A qualitative methodology was followed using semi-structured interviews conducted on a sample of fifteen participants within the public entity who are role players or have participated in digital transformation processes from executives, management and project team members. A thematic analysis of the data was made. Conclusions and recommendations were made around the capabilities and challenges of the public entity, integration of processes, performance measurement, IT skills and overall motivation for employee engagement and adoption of digital transformation and how all these phenomena have a close interaction with each other to achieve a better chance of success on future DT implementations
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    Implementation of Knowledge Management to improve performance in national government departments in South Africa
    (University of the Witwatersrand, Johannesburg, 2023) Kwadjo, Mittah Lebogang; Stacey, Anthony
    Government Departments are still lagging behind in implementing Knowledge Management. Managing knowledge is critical to the success and longevity of any business. Whilst the private sector is gaining traction in this management practice, government is still behind. The benefits of knowledge management are improved decision making, increased innovation and business efficiency. The unique barriers to implementing Knowledge Management in government departments warrant investigation. The purpose of this research was to identify barriers to implementing knowledge management processes and systems in national government departments in South Africa and to rate the extent of significance to knowledge management implementation. Methodology used to collect data was an online survey questionnaire. The sample was taken from the population of National Department of Transport employees, and results generalised to all national government departments. Thirty-five (35) statements on a 7-point Likert scale were used. Using Principal Component Analysis, 6 components were extracted and analysed. The 6 components were 1) strength of knowledge management leadership 2) departmental support of knowledge management, 3) level of employee interaction, 4) use of technology, 5) accessibility of technology and 6) level of team work. Seventy-five (75) participants, who were managers, senior managers and knowledge experts responded to the questionnaire. The study found that the barriers to knowledge management were strength of knowledge management leadership, level of employee interaction, departmental support, and use of technology. The study also identified the most significant barriers in implementing knowledge management in government departments were the “strength of knowledge management leadership” and the “level of employee interaction”. A further study on leadership in government departments in implementing knowledge management in recommended. Future research examining the level of interaction among government employees related to increased sharing of tacit knowledge is also recommended
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    Robotics process automation implementation in a large South African insurer
    (University of the Witwatersrand, Johannesburg, 2023) Sader, Mohamed; Sony, Michael
    Objective This report examines the direct and indirect impacts of robotic process automation (RPA) at Insurer X, a South African insurance company. The study will synthesize the results and key learnings into a roadmap for the successful implementation of RPA in other South African organizations and industries. The study also aims to contribute to the RPA body of knowledge and provides a platform for other researchers to build on. The study followed an inductive thematic approach to data analysis. Methodology This report is a qualitative case study design where the primary data collection method is semi-structured in-depth virtual interviews. Participants (Insurer X employees and an industry expert) were selected using a combination of purposive and convenience sampling to ensure knowledge of RPA and involvement in the project at Insurer X. This also ensured gender and role diversity and rich industry and RPA experience. Results and conclusion Nine participants were interviewed. The results indicate that RPA, directly and indirectly, benefited Insurer X across multiple areas, and these impacts are significant and, to a large extent, known; however, the indirect impact is unmeasured and not attributed to RPA. Twelve themes emerged when investigating critical success factors, learnings, and noteworthy barriers. These themes are synthesized into a roadmap for successful implementation. Implications for theory and practice The findings establish that significant direct benefits are achievable for insurance organizations wanting to pursue RPA in South Africa. There are also indirect benefits associated with RPA that can be measured if organisations are more deliberate upfront. There are key factors, learnings, and barriers that, if iii appropriately navigated from the start can increase the likelihood of success and the benefits achieved
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    Exploring factors that influence digital adoption in the South African oil and gas industry
    (2022) Zuma, Dumisani
    The purpose of this research was to provide insight into the factors that impact the adoption of digital tools in the Oil and Gas industry in South Africa, with the focus on digital enterprise resource planning (ERP). The research data for the study was collected by conducting semi-structured interviews with the people who were directly involved with the scoping, designing, implementation and adoption of the digital ERP system in the focal organisation. This was done by way of finding answers to three research questions, which were structured to determine the overall factors affecting adoption, then determining the impact of these factors on the implementation of the ERP system. The Technology Organisation Environment (TOE) conceptual model was used in developing proposed relationships, after which a data modelling and analysis tool Atlas.ti was used to rank the factors. The interview guide was developed in conjunction with the conceptual model and factors for the study identified. The factors identified for the study were confirmed by the existing literature, with some new ones identified through discussion with participating respondents in the interview phase of the study. The study established that all T-O-E aspects are important when implementing the digital ERP in the Oil and Gas industry. One of the important recommendations is that the organisation performs a full assessment before the decision to adopt, making sure that the implementation is supported entirely by the business that will use the tool, and that all other T-O-E aspects are in place.