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Technological development has witnessed tremendous and an increase in business interactions as they execute their daily business. Information technology and broadband are significant drivers of productivity and efficiency growth for small firms as they expand their market. This development has raised growing concerns as it relates to data and information security, infrastructure, and related resources  due to an increase in cybersecurity hazards faced  by Small to Medium Enterprises globally. In South Africa, although, during the first four months of 2022, cyber-attacks decreased by 13% to account for 419506 internet attacks, this statistic remains high enough for concern. To counter escalating cybersecurity risks, organizations must have a cybersecurity strategy to safeguard their operations, clients, data, and infrastructure. The threat landscape is changing over time, and despite ongoing attempts to strengthen security, they don't appear to be enough to prevent evolving cyberattacks. The study aims to identify cybersecurity threats facing Small to Medium Enterprises in South Africa by reviewing the literature and identifying key Cybersecurity challenges. It also examines the strategies, resources, and techniques used in South Africa to reduce cybersecurity threats. Lastly, the paper recommends adopting a comprehensive Cybersecurity strategy to build future-proof cybersecurity for Small to Medium Enterprises in South Africa.

This scoping review aims to explore various Deep Learning and Symbolic Artificial Intelligence (AI) models that can be integrated into explainable hybrid AI for the purpose of detecting COVID-19 based on Computerized Tomography (CT) scans. We followed the PRISMA-ScR framework as the foundation for our scoping review protocol. Our approach included a thorough search across 13 databases, complemented by an additional random internet search for relevant articles. Due to the voluminous number of articles returned, the search was further narrowed using the keywords: Deep Learning, Symbolic AI and Hybrid AI. These keywords were used because they are more visible in the earmarked literature. A screening of all articles by title was performed to remove duplicates. The final screening process centered on the publication year, ensuring that all considered articles fell within the range of 2019 to 2023, inclusive. Subsequently, abstract or text synthesis was conducted. Our search query retrieved a total of 3,312 potential articles from the thirteen databases, and an additional 12 articles from a random internet search, resulting in a cumulative count of 3,324 identified articles. After the deduplication and screening steps, 260 articles met our inclusion criteria. These articles were categorized based on the year of publication, the type of aim, and the type of AI used. An analysis of the year of publication revealed a linear trend, indicating growth in the field of Hybrid AI. Out of the five aim categories identified, we deliberately excluded articles that lacked a specified aim. It's noteworthy that 3% of the articles focused on the integration of AI models. The low percentage value suggests that the integration aspect is overlooked, thereby transcripting the integration of Deep Learning and symbolic AI into hybrid AI as an area worth exploring. This scoping review gives an overview of how a Deep Learning and Symbolic AI-based framework has been used in the detection of COVID-19 based on CT scans.

This study was inspired by the observation that code-switching is often discouraged in foreign language schools, where the target language and native language are strictly separated, with the target language designated as the 'official' language of instruction. The study sought to examine instances of code-switching in English as a First Additional Language (EFAL) acquisition among Sesotho native speakers in the Intermediate Phase in South Africa. Furthermore, it sought to illustrate the application of tag-code-switching, inter-sentential code-switching, and intra-sentential code-switching in English First Additional Language (EFAL) education for Sesotho native speakers in the Intermediate Phase in South Africa. This paper studied a particular multilingual phenomena, code-switching. While other linguistic behaviours exist, code-switching is the most popular in additional language contexts in South Africa. This research was founded on a literature review of code-switching in additional language situations. The paper examined the three roles of code-switching: repetition, emotional, and floor-holding. It also provided instances of how tag-code-switching, inter-sentential code-switching, and intra-sentential code-switching might be utilised by Sesotho home language learners to improve their comprehension of EFAL. One finding of the study is that, similar to translanguaging, code-switching fosters a sense of belonging and ownership among learners, and it is generally more accessible for the EFAL student to acquire knowledge from familiar concepts to unfamiliar ones. Another conclusion is that learners' restricted engagement in academic activities, attributable to their inadequate language proficiency, also impacts their motivation. The study advocates for the implementation of code-switching to improve learners' classroom involvement by allowing them to utilise their native language in the acquisition of a second language. The impact of code-switching on Sesotho home language learners' comprehension of EFAL in the Intermediate Phase in South Africa remains undetermined, necessitating further investigation into this important issue.

This paper aims to examine the impact of export diversification on business formation in Africa. The study used a panel dataset comprising 10 African countries (Algeria, Gabon, Lesotho, Morocco, Nigeria, Sierra Leone, Togo, Tunisia, Uganda and Zambia) observed annually from 2008 to 2018. The model was estimated using an instrumental variable regression approach within a count data framework and the difference-in-difference method. Main findings of the study demonstrate that (i) export diversification facilitates the formation of new businesses in the sampled countries, (ii) the odds of a business start-up increase by 1.7 – 3.5 times in response to a percentage point increase in export diversification, and finally (iii) business start-ups are at least 95 percent higher in countries with high export diversification compared to countries with narrow export baskets. These findings emphasize the need for policies aimed at moving away from concentrated export baskets towards more diversified ones to leverage entrepreneurial effort in the selected African countries.

Averting the risk of falling short on the expected profitability of a bank requires the knowledge of the underlying determinants. Knowledge of long-run underlying determinants of profitability assists banks in comprehensive planning. In this backdrop, the paper seeks to identify the long-term fundamental risk factors and their impacts on their profitability. The FM-OLS regression method is employed using annual data on the components of profitability as well as internal and external determinants of profitability of Amalgamated Bank of South Africa (ABSA) bank from 1998 to 2014. The study is particularly importance since bank-specific studies aimed at identifying long-run fundamental factors of profitability has not been given much attention in literature. Evidence from the study indicates that profitability of ABSA is cointegrated with its determinants. It is further observed that, with the exception of inflation and GDP, all the determinants have significant long-term impact on profitability. However, although size has significant impact on net interest margins, its impact on return on equity is insignificant. The results further suggest that capital and stock market capitalization pose risk to aggregate profitability of ABSA. It is therefore recommended that in future, ABSA should resort to optimal equity financing to maximize its expected profitability.

1. Abstract   A quest for accountability and fairness in the South African public service has been undermined by persistent gaps in discipline management, particularly in the application of PSCBC Resolution 1 of 2003. This study examines the impact of non-compliance with procedural principles and timeframes on dismissed employees and their families within the North West provincial government. Drawing on literature on procedural justice, consequence management, and labour law, the study assesses disciplinary policy practice, precautionary suspension processes, and the reluctance of departments to implement reinstatement awards.   The study adopted a mixed-methods design. The population comprised employees across nine North West provincial departments. Data were collected through document review of disciplinary case files and arbitration awards, a structured questionnaire administered to 100 respondents, and 30 semi-structured interviews with dismissed employees, employees with delayed reinstatement awards, and family members. Key informant interviews were conducted with labour relations practitioners. Data were analysed using descriptive statistics to assess variability and deviation from Resolution 1 of 2003, supplemented by thematic analysis of interview and case law evidence.   The data indicate widespread failure to follow Resolution 1 of 2003, with some reinstatement awards delayed by up to 17 years. In practice, departments often opened disciplinary hearings without adequate preliminary investigation, extended precautionary suspensions well past the 60-day statutory limit, and resisted implementing CCMA and Labour Court orders to reinstate employees. Consequences include prolonged income loss, asset repossession, psychological distress, stigma, and social breakdown for employees and dependents. Institutional resistance, manifested through repeated review applications and unlawful salary deductions, further weakens accountability.   The study concludes that administrative non-compliance generates measurable financial, psychological, and social harm that extends beyond the workplace. Recommendations include enforcing time-bound implementation of awards, establishing a central monitoring system, limiting procedural delay tactics, integrating family impact assessments, and strengthening accountability within labour relations units through progressive and team-based discipline, capacitated accountability mechanisms, and merit-based appointments.

This study focuses on procurement processes as one of the most critical issues facing the South African local government domain today. Our main argument in this paper is that effective and efficient procurement processes are stifled by corruption emanating from political patronage which continues to menace the public sector. The trickle-down effect of this is poor service rendering in local government and the disjuncture between the services rendered and the citizens’ priorities. The principal-agent theory was used as an analytical lens of the study. The study adopted a qualitative literature review to unearth the scourge of tenderpreneurship and explore its effects on service delivery in the Eastern Cape province. Findings revealed that, despite the enactment of relevant statutory instruments and institutional structures to enhance procurement practices within local government, politics-administration dichotomy continues to negatively affect the processes. Corruption in the procurement processes has manifested itself through bribery, fraud and kickbacks and these have proven to be counterproductive in terms of service delivery. Findings have also demonstrated that the rendering of services such as water and sanitation, infrastructure and electricity remain elusive in many local municipalities in the provinces owing to the poor quality of work provided by inexperienced contractors linked to the political elite. In this regard, the study recommends the strengthening of internal financial controls within municipalities and establishing clear work procedures and oversight mechanisms between the politicians and the street bureaucrats.

Financial pressures in South Africa’s public sector have increased efforts to control the wage bill, raising concerns about the long-term effects of stagnant remuneration on employee performance, retention, and service delivery. Although the link between pay and motivation is well known, less attention has been given to how prolonged salary stagnation, within a constrained fiscal environment, affects both employees and service delivery outcomes. This paper addresses this gap by examining the effects of stagnant remuneration in the South African public service. The paper used a qualitative narrative review of secondary data, including academic literature, government reports, and policy documents. Sources were selected based on their relevance to remuneration, employee performance, and service delivery, and were analysed thematically. The findings show that stagnant remuneration is not only a Human Resource issue but also a service delivery issue, as it directly affects employee motivation and institutional capacity. Guided by Equity Theory, Maslow’s Hierarchy of Needs, and the paper’s conceptual model, the results indicate that perceived unfairness and rising living costs reduce motivation, increase turnover, and weaken organisational capacity, especially in sectors such as health, education, and local government. This creates a tension between fiscal sustainability and workforce effectiveness, which ultimately affects service quality. The paper contributes by linking remuneration challenges to service delivery outcomes and indicates the need for a balanced approach to managing the public sector wage bill.

The global rise of Artificial Intelligence (AI) and Information and Communication Technology (ICT) has positioned digital transformation as a key strategy for improving efficiency, transparency, and responsiveness in public service delivery. In South Africa, however, persistent service delivery protests, limited institutional capacity, and resource constraints continue to undermine effective governance, raising critical questions about the readiness and effectiveness of AI and ICT adoption in the public sector. This paper, therefore, examines the impact of AI and ICT on public service transformation in South Africa, with a focus on their potential to improve service delivery and the barriers limiting their effective implementation. Methodologically, the paper adopts a qualitative research approach based on secondary data, drawing on peer-reviewed literature, government reports, and relevant case studies on digital transformation in public administration. Through thematic synthesis, the paper analyses patterns of adoption, impact, and implementation challenges across key public service domains. The findings reveal that AI and ICT have contributed to improved e-government services, enhanced administrative efficiency, and greater transparency in selected areas of public service delivery. However, these benefits remain uneven and fragmented due to persistent challenges, including inadequate infrastructure, limited financial and human resources, resistance to change, regulatory constraints, low levels of digital literacy, and outdated legacy systems. These barriers collectively slow down system-wide digital transformation and limit the scalability of technological innovations. The paper contributes by providing a consolidated and updated synthesis of fragmented evidence on AI and ICT adoption in South Africa’s public sector, offering a clearer understanding of both progress and persistent structural constraints. It further indicates that digital transformation is not solely a technological issue but also an institutional and governance challenge. The paper recommends prioritised investment in modern ICT infrastructure, strengthened digital skills development for public servants, and the establishment of a coherent national digital transformation strategy. It further recommends simplifying procurement processes, fostering an innovation-oriented public sector culture, and strengthening regulatory and ethical governance frameworks to ensure accountability, inclusivity, and sustainable digital transformation in public service delivery.

This study examines the long-run relationship between foreign direct investment (FDI) inflows and institutional quality within the Arab Maghreb Union (AMU), focusing on Algeria, Mauritania, Morocco, and Tunisia over the period 2002–2019. Drawing on institutional theories of FDI, the analysis employs governance indicators such as political stability, control of corruption, government effectiveness, regulatory quality, and rule of law to assess their influence on investment dynamics. Using panel unit root and cointegration tests, the study confirms the existence of a stable long-term equilibrium among the variables. The Fully Modified Ordinary Least Squares (FMOLS) estimator is applied to quantify these relationships. Empirical results indicate that control of corruption, political stability, and regulatory quality exert significant positive effects on FDI inflows, even after accounting for macroeconomic controls. Conversely, government effectiveness and rule of law show no statistically significant impact in the presence of the macroeconomic control variables. These findings underscore the critical role of institutional quality in shaping the investment climate of AMU economies. Policy implications suggest that targeted reforms such as strengthening anti-corruption frameworks, enhancing political stability, and improving regulatory governance can bolster institutional credibility, mitigate investment risk, and attract sustainable FDI to the region.