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The aim of the study is to explore the impact of brand awareness, brand loyalty and brand attitude on purchase intention in online shopping. The study was quantitative in nature adopting the survey method. Due to the absence of a sampling frame, convenience sampling, a form of non-probability sampling was utilised a total of 253 responses well collected from Braamfontein, a busy business district in Johannesburg, South Africa. In order to test the proposed hypotheses, a unique conceptual model was developed in which brand awareness, brand loyalty, and brand attitude acted as predictors while purchase intention served as the outcome. Data analysis was conducted in SPSS 27 where descriptive statistics were produced as well as regression analysis to test the proposed hypothesis. Findings suggested that customers perceived brand attitude to have the strongest impact on purchase intention while the weakest predictor of purchase intention was brand awareness as far as online purchasing was concerned. Managerial implications emerged from the study and suggestions for further research were proposed.

With the intensity of the Fourth Industrial Revolution, Artificial Intelligence (AI) is being widely adopted to perform key tasks in economic activities. The audit profession has also embraced AI in the performance of its function in carrying out activities like audits, oversight, and advisory functions. The application of AI has been met with acceptance, given its advantages in some quarters and with resistance/scepticism in some. Proponents table benefits such as improved sampling procedures, reduced labour, and time in performing audits, increased efficiency, and effectiveness (due to increased audit coverage) including improved audit quality. Opponents raise pragmatic concerns such as the violation of ethical principles governing the audit profession, potential biases (loss of employment) as well as the challenges of coordinating machine and human activities. The study has two objectives. Firstly, to explore the role of AI in the external audit function. Secondly, to evaluate the ongoing debates on artificial intelligence and external auditing and assess the implications of using AI in the external audit function. The study adopts a qualitative research approach, employing a critical literature review. The study will accentuate the controversies and convergences among researchers on the role and implications of applying AI in external auditing to bring to light possible research gaps that can be explored by future researchers on the subject area. Highlighting the potential externalities of using AI has both theoretical and practical implications.

The reality is that there is a relationship between language and race as advanced and qualified by ethnolinguistics. Such a relationship points to the subjugation of the isiXhosa language (habitually situated in South Africa), among other prescripts, which was fueled by racial hierarchization that ought to be debated within the paradigm of scholarly discourses. The subjugation, distortion and erosion of the isiXhosa language were led by the colonial, apartheid governance and administration that sought to impose censorship. Therefore, this article employs post-colonial theory to argue and scholarly prove that the language and many South African indigenous languages were oppressed based on racial notions that sought to accelerate neo-liberalist and imperialist perceptions. Hypothetically speaking, the isiXhosa language still suffers from the effects of (post)colonialism carried by colonial agents who continue to mock and humiliate the language. The debates and findings underline that such claims (racial hierarchization of the language) must be validated through theoretical and practical discourses. As a result, closing remarks infuse potential recommendations open to public scrutiny regarding the problematised phenomenon and/or conundrum.

The study looked at the role and contribution of entrepreneurship industry to foster social and economic development through small, micro, and medium-sized businesses in South Africa. The conceptual research looked at the influence of small, micro, and medium-sized businesses (SMMEs) on South African development. The study's objective was to evaluate how small, medium-sized businesses (SMMEs) are now driving economic growth and solving social issues in a setting where big businesses and governments appear to be doing very little. As a result, the study examines how SMMEs might help the nation solve persistent societal evils including poverty, inequality, and social isolation. A desktop literature review research design was adopted to collect data on the role of entrepreneurship in South Africa, policies and practices of big business and government that exacerbate social issues in communities and impede socioeconomic development, as well as the specific roles that SMMEs play in achieving socioeconomic development goals. Findings from research indicate that, among other development outcomes, SMMEs are at the vanguard of creating jobs and fostering social and political justice in the nation. Future empirical studies that account for and evaluate the importance of SMME contributions to the construction of economic, social, and political justice in the nation are advised because this work lacks the empirical support necessary to substantiate its conclusions and observations.  

Various existing studies have established the multi-faceted nature of social inequalities in South Africa. The social inequalities also segregate schools into urban and rural schools, with adequate or lack of infrastructure influencing learners' performances in various South African schools. Hence, school principals are expected to manage the available resources to attain curriculum delivery and the whole school's performance. This qualitative study explored principals' perspectives on managing uneven school resources to achieve the goals and objectives of the education system. This study adopted an interpretive paradigm to understand the voices of 20 rural school principals in semi-structured interviews. The principals were purposively selected from 20 rural schools in King Cetshwayo district in KwaZulu-Natal. The audio-recorded interviews were thematically analysed to generate themes for findings and discussion. Findings revealed that most rural schools need more adequate school resources, and the principals need more support to attain quality curriculum delivery in schools adequately. The principals also lamented the high expectations placed on their schools for the academic excellence of their learners. Thus, the contents of each subject curriculum could not be efficiently unpacked and delivered to learners. The study, therefore, recommends improvement in resource provision to rural schools. At the same time, principals should be capacitated on effectively managing available school resources to achieve desired and efficient curriculum implementation in rural schools.

Indigenous communities possess rich traditions of conflict resolution rooted in their cultural values, collective decision-making, and community involvement. However, the imposition of Western legal frameworks and colonial histories has often disrupted these practices, leading to increased tensions and unresolved conflicts. This study explored conflict resolution within Indigenous communities, emphasizing the role of social work in facilitating culturally appropriate processes. The study employed a qualitative approach, incorporating interviews with Indigenous leaders, social workers, and community members, alongside a review of relevant literature on traditional practices and social work interventions. Social workers play a crucial role as facilitators, helping to navigate tensions and bridging gaps between traditional practices and contemporary needs. Challenges include a lack of cultural competency and the need for ongoing community engagement. The integration of Indigenous knowledge systems into conflict resolution practices enhance outcomes and foster healing. Social workers prioritize cultural humility and active listening, ensuring that Indigenous voices lead the resolution process. By supporting the reclamation of traditional conflict resolution methods and advocating for culturally sensitive practices, social workers empowered Indigenous communities, promote resilience, and facilitate more effective conflict resolution. This perspective underscores the necessity of collaboration, respect, and recognition of Indigenous sovereignty in all social work interventions.

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 purpose of this paper is to investigate the influence of cultural forces that shape social influence with a look at Hofstede’s cultural dimensions of power distance, uncertainty avoidance, and individualism. The direct effect of these cultural dimensions on social influence is investigated. To measure social influence, this paper relies on the dimensions of Hofstede. A multiple regression analysis is applied to answer the hypotheses. The research design adopted for the research was quantitative, and the method used to collect data was an online survey. A self-administered questionnaire was developed and distributed to the targeted respondents for obtaining primary data.The respondents involved were 340 SMEs in the urban area of Harare province in Zimbabwe. A nonprobability convenience sampling method was used for the study. Hofstede’s cultural factors of power distance, individualism, and uncertainty avoidance were used as the independent variables that moderate social influence.

Small and Medium Enterprises (SMEs) in South Africa previously faced challenges due to limited resources, restricted access to technology, and the need to constantly adapt to a dynamic business environment. The introduction of Generative Artificial Intelligence (AI) emerged as a potential solution to these issues, promising to enhance operational efficiency and strategic decision-making. As a representative of developing economies, South Africa experienced a growing interest in AI technologies. This study was conducted to explore the impact of generative AI on SME productivity in South Africa, an area which had been underexplored. Employing a qualitative methodology, the study evaluated the current state and implications of generative AI in South African SMEs. It involved in-depth interviews to gather perceptions, experiences, challenges, and benefits from SME owners and managers regarding the adoption of generative AI technologies. The findings analysed via R Statistical Software revealed significant insights into the specific areas where generative AI substantially impacted SME productivity. It also identified the challenges and opportunities associated with the adoption of generative AI by SMEs, as well as the potential long-term implications. Key findings included notable improvements in data-driven decision-making, operational efficiencies, and market expansion strategies. However, the study also highlighted barriers such as the lack of technical expertise, initial setup costs, and concerns over data security. Overall, the impact of generative AI on SMEs in South Africa was found to be predominantly positive, paving the way for further technological advancements and adoption in the sector.

Employee turnover poses a significant challenge for South African municipalities, particularly for retaining tacit organisational knowledge. Therefore, this study assessed how employee turnover impacts organisational tacit knowledge retention in South African municipalities. The study uses secondary data analysis to examine employee turnover in critical positions in various municipalities in South Africa, such as senior management and those earmarked as scarce skills. The findings of this study show that employee turnover significantly negatively impacts tacit organisational knowledge. The findings further revealed that turnover exacerbates the retention of the organisational knowledge gap within municipalities, often leading to diminished service quality and increased operational costs such as recruitment and use of service consultants. Furthermore, the study highlights the gap between rhetoric (policies) and actual practice (implementation) in addressing the issues of service quality and operational costs, noting that existing retention strategies and knowledge management approaches often need to be revised. Questioning the effectiveness of retention strategies, the paper suggests that municipalities require more proactive and innovative approaches to manage turnover and organisational tactical knowledge retention to enhance public service delivery continuity and organisational sustainability. Furthermore, municipalities should integrate retention strategies such as succession planning, continuous training, leadership, and mentorship programmes into a broader municipal governance framework.