Scielo RSS <![CDATA[South African Journal of Information Management]]> vol. 24 num. 1 lang. es <![CDATA[SciELO Logo]]> <![CDATA[<b>Knowledge management awareness in South African provincial government departments: The case of KwaZulu-Natal Department of Public Works, Pietermaritzburg</b>]]> BACKGROUND: Knowledge management (KM) holds a major influence on the effective delivery of services in government departments as it is tactically affiliated to the formation, composition, and sharing of information to prevent 'reinvention of the wheel' by staffs when performing their jobs. However, few government departments within the South African context have implemented formal KM initiatives. OBJECTIVES: This research sought to examine the KwaZulu-Natal Department of Public Works (Pietermaritzburg) employees' awareness of any KM initiatives, their benefits, and barriers that are preventing the successful implementation of a formal initiative METHOD: A survey research approach was utilised in which structured questionnaires were administered to respondents. Data were analysed using the Statistical Package for the Social Science (SPSS). RESULTS: The research established that KM initiatives are being practiced informally within the Department and there is a reasonably high level of awareness of these initiatives together with the benefits associated with them. The lack of a dedicated unit for KM and KM professionals are some of the barriers to the successful implementation of formal initiatives. CONCLUSION: The research concluded that the Department is in dire need of a formal KM initiative to reap the potential benefits and improve service delivery. <![CDATA[<b>Mitigating risks of tacit knowledge loss in state-owned enterprises in South Africa through knowledge management practices</b>]]> BACKGROUND: State-owned enterprises (SOEs) in South Africa face a serious challenge of knowledge loss caused largely by resignations, the ageing workforce and a lack of knowledge management (KM) practices OBJECTIVE: This article explores KM practices in the South African SOEs to mitigate the risks inherent in tacit knowledge loss METHODS: The study adopted a mixed methods research strategy using an exploratory sequential design to identify KM practices and their effectiveness in addressing the issue of tacit knowledge loss. The qualitative data was collected through the interviews and document analysis of 2018 annual reports in nine SOEs across five market sectors. A survey questionnaire was distributed to 585 respondents, with a 25% response rate (145) for quantitative data in three SOEs RESULTS: The results revealed that the majority of the SOEs lacked KM practices in their structures. The lack of KM practices implies that the SOEs are lagging behind in knowledge protective capacities to mitigate the risks inherent in the organisational tacit knowledge loss. With many South African SOEs, facing all these sorts of knowledge loss risks and a lack of KM practices to mitigate them, achieving the objectives of a developmental state remains a far-fetched idea CONCLUSION: The absence of KM practices negatively affected knowledge transfer and retention in most of the SOEs. A lack of KM practices will negatively affect their performance and their sustainability to deliver on their developmental mandate. Investment in KM practices will assist SOEs to mitigate the risks associated with loss of organisational tacit knowledge <![CDATA[<b>The adoption of robotics in the auditing profession</b>]]> BACKGROUND: The auditing profession has been burdened with high costs and reputational damage resulting from false results because of a high dependency on manual tasks susceptible to errors or manipulation. Automating repetitive tasks with the use of robots can help minimise these errors to achieve efficiencies and cost reduction. OBJECTIVES: This study adopted a Unified Theory of Acceptance and Use of Technology (UTAUT) model to determine the factors influencing organisations to use robotics technology when performing auditing activities. METHODS: The study was quantitative, using a survey consisting of 37 questionnaires and two semi-structured interview questions. The sample consisted of 59 professional auditors and 26 non-auditors involved in auditing in South Africa. RESULTS: The study results show that performance expectancy and facilitating conditions are key factors that influence the adoption of robotics in the auditing profession. A lack of training, data quality, and inadequate investment in robotics technology are mentioned as critical barriers to adopting robotics in auditing. Management support, good change management processes and technology skills are quoted as potential key enablers of robotics technology in the auditing profession. CONCLUSION: The conclusion drawn from the study is twofold. Firstly, the performance management system and the business case for robotics in the auditing process should be linked to the tasks of auditors. Secondly, resources should be made available to support the use of technology in the profession. The study provides more insight into how leaders and management in the auditing profession could influence the adoption of robotics in auditing. <![CDATA[<b>Data trust in Consumer Internet of Things assemblages in the mobile and fixed telecommunication operators in South Africa</b>]]> BACKGROUND: Devices can be connected through the Internet of Things (IoT) technology to create a smart ecosystem. From the connection, various stakeholders share personal data with companies in the consumer IoT (CIoT) space for marketing and other reasons. Customers download and use applications without mulling over the type of personal information exposed to the rest of the world. OBJECTIVE: The main objective of this study was to explore data trust in CIoT assemblages in the mobile and fixed telecommunication operators in South Africa. METHOD: This qualitative study triangulated narrative enquiry with the Delphi technique to explore data trust in CIoT assemblages in South Africa. The primary data collection techniques used in this study were unstructured interviews (in the case of narrative enquiry), questionnaires and semi-structured interviews (in the Delphi technique). For the Delphi technique, five experts were chosen purposively based on their involvement in IoT, selling and on-selling IoT services or those providing support services to the IoT ecosystems, while six narrative enquiry participants were selected through snowball technique based on their exposure to using consumer IoT solutions, ability to provide detailed descriptions of their experiences and willingness to articulate those experiences RESULTS: The study established that the choice of system to use varied from consumer to consumer. The consumer's original decision may be influenced by many factors, such as devices sponsored by one's health insurance or security company. However, the constant use of a specific system makes it personal and more comfortable for the consumer. The level of trust in the CIoT system increases with constant interactions. CONCLUSION: The study concludes that there should be a very high level of stakeholders trust for faster adoption of CIoT in South Africa. Therefore, regulators such as the Independent Communication Authority of South Africa should ensure that IoT devices in the South African market are trustworthy. <![CDATA[<b>Factors and variables to promote a knowledge-sharing culture change in higher education institutions of developing countries</b>]]> BACKGROUND: Knowledge-sharing culture permits knowledge reuse, exchange of knowledge, experiences and insights in an institution to achieve strategic goals. Knowledge-sharing requires motivation through rewards and recognition to improve employee engagement. The article provides an analysis of factors to promote a knowledge-sharing culture change OBJECTIVES: The two objectives were designed to examine the factors that promote knowledge-sharing culture change and to recommend strategies that encourage knowledge- sharing METHOD: An online questionnaire was used to gather quantitative data from a higher education institution in Zimbabwe: a developing country on the African continent RESULTS: The results established that rewards, recognition, promotion and bonuses are significant factors in promoting a knowledge-sharing culture change. It emerged that 53.3% of the participants approved that knowledge- sharing is dependent on the disposition of the individual whilst the other 46.7% of the participants were either indecisive or disagreed with the proposition. Rewards are important to the extent that 91.7% of the participants approved the proposition. It was also confirmed by 95% of the participants that recognition adds value to an institution. Moreover, 80% of the participants submitted that recognition contributes to employee retention and engagement. Fascinatingly, 88.3% of the participants settled on the proposition that recognition allows access to top talent and 68.3% concurred that promotion encourages loyalty CONCLUSION: Rewards, recognition, promotion and bonuses are important factors that encourage a knowledge-sharing culture. Rewards strengthen employee value proposition whilst recognition allows access to top talent. Promotion inspires employees whilst bonuses are perceived as signalling employee appreciation, which stimulates a knowledge-sharing culture <![CDATA[<b>Knowledge management toolkit enhancement for a professional services firm</b>]]> BACKGROUND: Professional services firms utilise knowledge management tools, for example, IBM and Oracle solutions and toolkits, in their day-to-day client-facing operations. The effectiveness of toolkits must be evaluated to establish their actual value OBJECTIVES: This article evaluates the current toolkit used by the South African client-facing professionals of a global multinational corporation. METHOD: Pragmatism philosophy was used because of the various perspectives needed to interpret the data. Data were collected from 30 participants who adhered to sample eligibility criteria. An interview was used to collect data to help determine which tools worked well and what had to be improved on. RESULTS: The most value-adding tool was the Experience Tool, whereas the Collaboration Tool ranked the least valuable. The Collaboration Tool showed the most potential to increase its value. The results gave a clear indication of areas of improvement that will enable a professional services firm to strategically position its knowledge management toolkit towards adding value for client engagements. CONCLUSION: The study contributes towards evaluating the knowledge management toolkit, analysing areas of improvement, and recommending components such as machine learning, online collaboration and other activities that would enhance the knowledge management toolkit.