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This study presents a systematic literature review analysing the impact of artificial intelligence (AI) on higher education, focusing on its methods, results, and implications. By synthesising a diverse range of academic papers, the review explores how AI technologies influence educational standards and practices in higher education institutions. Findings reveal that AI has the potential to enhance the quality of higher education by diversifying teaching responsibilities, customising learning experiences, and employing intelligent, adaptive teaching strategies. These capabilities position AI as a transformative tool for improving educational delivery and outcomes. However, the study also highlights significant challenges associated with integrating AI into higher education. These challenges include delineating the appropriate scope of AI use, addressing inequalities in access to digital resources, and ensuring adequate training and support for educators and students. The review underscores the importance of understanding these complexities to guide the development of effective strategies and policies that optimise AI's potential while mitigating its limitations. The review offers critical insights into the dual role of AI in higher education, where it can either advance or hinder educational standards depending on how it is implemented. By examining the advantages, limitations, and broader consequences of AI-powered instructional tools, this study provides a comprehensive perspective on the intricate relationship between AI and educational quality. The findings aim to inform educators, policymakers, and stakeholders about the opportunities and challenges of adopting AI in higher education, contributing to the development of inclusive, innovative, and sustainable educational practices.

The utilization of powerful machine learning models in artificial intelligence offers novel prospects for the identification of fraudulent activities. Artificial Intelligence (AI) is a revolutionary technological tool that enhances the ability to detect and prevent fraud by improving efficiency and effectiveness. This research offers a thorough examination of the utilization of artificial intelligence technology in the realm of procurement fraud prevention and detection. Additionally, it highlights the obstacles that arise when employing machine learning techniques for the purpose of identifying and preventing fraudulent activities. A mixed methods approach was employed in this study, wherein data was collected through an unstructured interview and questionnaire. We conducted a comprehensive review of relevant scholarly articles and online resources. The findings indicate that fraudsters are progressively advancing in their skills, which poses a significant challenge in detecting fraudulent activities. The advent of AI in fraud detection has demonstrated its transformative impact. AI has achieved unparalleled precision and velocity in crime detection and prevention, surpassing the capabilities of any human. Artificial intelligence (AI) enhances the capacity for automation. Accessing unstructured data in the form of spreadsheets, digital documents, and email inboxes poses a significant issue for the procurement function. In order to achieve a successful procurement transformation, businesses should prioritize the creation of essential tools, guarantee acceptance through the establishment of a superior user experience, and integrate both novel and pre-existing technology. It is imperative to disseminate knowledge to the general public regarding the escalating sophistication of artificial intelligence (AI) in the realm of fraud detection and prevention. This includes elucidating the potential benefits of AI in identifying patterns of suspicious activities, assessing its efficacy in predicting potential threats or fraudulent activities prior to their manifestation, and exploring its utility in analyzing historical data pertaining to both familiar and unfamiliar forms of fraudulent behavior.

The amalgamation of traditional and modern governance systems represents a transformative advancement in contemporary African government. This study examines the concept of "hybridity governance" within the African context, providing a comprehensive theoretical framework that integrates modern institutional procedures with traditional governance systems. The paper examines the evolution of African governance from pre-colonial to post-colonial eras, illustrating the emergence of hybrid governance as a response to internal dynamics and external influences. It accomplishes this by utilising historical studies. The philosophical underpinnings are investigated, highlighting organisational and social concepts that elucidate the acceptance of hybrid models. The paper elucidates the applications, accomplishments, and challenges of hybrid government in several African nations through various empirical case studies. A critical examination examines the consequences of these governance paradigms for public administration in Africa. It underscores opportunities for innovation and enhanced flexibility, while also emphasising intrinsic challenges such as job ambiguity and conflict. The report concludes with forecasts regarding the future trajectory of hybrid governance in Africa, considering the interplay of local socio-political dynamics, global interconnectedness, and technological advancements. This article serves as a vital resource for policymakers, researchers, and stakeholders interested in the evolving governance paradigm in Africa, providing valuable applications and recommendations.  

This study advances research and practice related to adopting artificial intelligence (AI) in the context of South Africa (SA). The study evaluated AI adoption by South African manufacturing Small and Medium Enterprises (SMEs); established the challenges faced by manufacturing SMEs in adopting AI; and developed a framework for adopting AI for manufacturing SMEs’ growth and survival. The study adopted a systematic literature review approach. Articles from Scopus and Google scholar databases, ranging from the years 2018 to 2024, were used. Of the 206 articles found, 54 were shortlisted. The systematic review analysis was performed using the PRISMA framework. The results identified AI adoption by South African manufacturing SMEs is low, limiting their innovation and productivity. The results also show, despite the numerous benefits AI adoption can offer manufacturing SMEs in the country, a major constraint is the lack of a framework to enhance adoption and implementation. Hence, this study was conducted to develop a framework to improve AI adoption by South African manufacturing SMEs. The findings contribute to the body of knowledge and provide new insights to manufacturing SME owners/managers, policymakers and practitioners into AI adoption to enhance manufacturing SMEs’ ability to compete on the global stage.

This paper examines the shift from Industry 4.0 to Industry 5.0 in relation to sustainable supply chain management (SCM), highlighting the incorporation of human-centric technologies. As industries progress, there is an increasing necessity to integrate technologies that enhance human-machine collaboration, optimise operational efficiency, and foster sustainability. This work aims to do a systematic review of the evolutionary process, emphasising the transformation of supply chain management by these technologies. A systematic review technique, adhering to the PRISMA framework, was utilised to collect and assess pertinent material published between 2010 to 2024. The review encompassed an exhaustive database search, stringent eligibility screening, and thematic analysis via Atlas-ti software to discern main themes and patterns concerning the incorporation of human-centric technology in supply chain management. The results indicate that the change to Industry 5.0 entails a substantial movement towards human-automation collaboration, with AI and machine learning as essential components. Digital transformation is redefining supply chain management by utilising big data, the Internet of Things, and blockchain technology to enhance transparency, traceability, and decision-making. Bionic supply chains, integrating human intelligence with machine efficiency, are developing as a vital foundation for operational resilience and sustainability. The study suggests that the incorporation of human-centric technology in supply chain management enhances efficiency and sustainability while fostering a more resilient supply network adept at reacting to interruptions. This paper offers essential recommendations for academics and practitioners seeking to enhance supply chain operations in the context of Industry 5.0.

As access to healthcare has come under increasing scrutiny, patient waiting times have become crucial. Qualitative research provides an in-depth understanding and reflections of the nurses at Nthabiseng Clinic in Capricorn region, Limpopo Province, South Africa.This article is based on an investigation of patient waiting, which used in-depth semi-structured interviews with five strategically selected healthcare professionals to disentangle the web of different elements that can affect the length of time a patient might wait at the hospital. We identified two superordinate themes that emerged from our thematic analysis. The data analysis identified two key themes that influenced how patient waiting time was related to patients and operational matters during clinic visits: 1) Determinants of patient waiting time at a clinic visit: (i.e. a lack of definitions of patient waiting time; patient waiting time contributing factors; patient waiting time seen through patients; operational challenges regarding patient waiting time); as well as 2) Patient waiting time policy position (i.e. South Africa’s patient waiting time specific policy/ies and/or legislative framework; A clinic’s specific development plan; DOH’s assistance to a clinic). As healthcare systems strive to enhance accessibility and patient experience, this study offers invaluable insights into the multifaceted nature of patient waiting times, paving the way for evidence-based strategies to address this critical issue.

This study employed a conceptual framework to elucidate the issue of incivility. The researcher created a cohesive conceptual framework to facilitate the construction of knowledge and to offer a rational elucidation of the knowledge acquired during this study. This will provide a framework for a deeper comprehension of incivility in professional nursing education in South Africa. A qualitative exploratory descriptive methodology was employed. The research was conducted in a nursing college in partnership with a university of technology and a university-affiliated nursing school. A selected sample of fifteen (15) students and ten (10) nurse educators was utilised for data collection. Semi-structured, in-person interviews were used to gather data until saturation was achieved with 23 participants. Participation was voluntary, and discussions were kept confidential. Distinct themes arose from the data analysis and were interpreted through interpersonal relations theory. The related notions were delineated as Part 1 – the leaves of the tree: manifestations of incivility, Part 2 – the trunk of the tree: incivility itself, and Part 3 – the roots of the tree: the origins of incivility within the framework of incivility.

Backyard gardening holds immense promise as a viable solution to combat the escalating rates of hunger and poverty in South Africa. This study examines the dynamics of backyard gardening, its significance, potential contributions to food security and the myriad challenges it faces. The literature review explores the diverse dimensions of backyard gardening drawing insights from scholarly research and policy documents. The study underscores the pivotal role of backyard gardening in addressing food security, enhancing nutrition and promoting socio-economic resilience within communities. However, significant barriers such as limited access to land, water scarcity and inadequate support structures pose formidable challenges to its widespread adoption and effectiveness. Analysing the legislative frameworks, policy landscape and organisational initiatives surrounding backyard gardening illuminates’ pathways for overcoming barriers and harnessing its transformative potential. Moreover, it underscores the importance of reimagining backyard gardening as a dynamic strategy for inclusive development, grounded in principles of equity, sustainability and community empowerment. Through strategic interventions aimed at promoting equitable land tenure, enhancing water resource management and fostering community capacity building, South Africa can leverage backyard gardening as a powerful tool in its quest for a more resilient and food-secure future.

This article reports on literature review and the reflective practice of teachers and school principals on the use of action research in identifying teachers’ professional development (TPD) needs required for a successful implementation of blended and virtual learning. This article sought to contribute to the body of knowledge of teachers’ needs analysis and development; teachers’ digital competencies; and action research to the field of education. School principals and teachers who participated in this study confirmed that action research is an effective strategy that can be used in TPD. They further stressed that action research can be used to replace the existing ‘one size fits all strategy’ that is currently used blatantly across highly adequately and under-resourced schools. Using action research helped them expose realities entrenched within teaching and learning in less privileged schools. This study recommends the use of action research as strategy for identification of teachers’ and learners’ needs that should inform the contents and nature of teachers’ professional development programs.

This study examines the effects of poverty and crime in Sub-Saharan Africa in the Fourth Industrial Revolution (4IR) context. Specifically, it seeks to explore how technological advancements influence the dynamics between poverty and crime in the region. We employed a qualitative research approach, utilising data from comprehensive academic literature reviews, policy documents, and relevant statistics. Additionally, we gathered insights from 20 participants chosen to represent diverse perspectives, including policymakers, academics, community leaders, technology experts, and individuals from impoverished communities. Through in-depth interviews and focus groups, the study provided a holistic view of the nuanced impacts of the 4IR on poverty and crime. The main findings of the study demonstrate that (i) the 4IR offers considerable opportunities for poverty alleviation through job creation and economic empowerment, (ii) there are significant risks, such as digital exclusion and the emergence of new, technology-driven forms of crime, and finally, (iii) structural factors, including governance and access to education influence the effects of 4IR. The study recommends targeted policies to harness the benefits of the 4IR, focusing on strengthening education, promoting inclusive governance, and fostering social inclusion to mitigate adverse consequences.