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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.

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.

The last mile of logistics, representing the final stage of product delivery to consumers, is critical for supply chain efficiency and sustainability. Infrastructure inadequacies, urbanisation, and environmental concerns pose challenges to this period in South Africa. This study conducts a systematic evaluation of the literature to investigate the ability of last-mile logistics in South Africa to withstand and maintain throughout time. The PRISMA method and Atlas-ti software are used for thematic analysis. The review highlights important topics such as the development of supply chain management, obstacles in last-mile distribution, the significance of technology, regulatory frameworks, infrastructure improvement, cooperative activities, and the economic and social effects. The findings emphasise the significance of incorporating resilience and sustainability into last-mile logistics in order to enhance operational efficiency, mitigate environmental consequences, and promote socio-economic advancement. The assessment highlights the necessity of joint endeavours, technical advancement, and supporting policies to tackle the distinct issues encountered by South Africa in this field. This study enhances the comprehension of sustainable logistics in South Africa and offers valuable insights for practitioners and policymakers to enhance last-mile logistics operations.

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.

Supply Chain Management (SCM) plays a vital role in any organization, facilitating trade both globally and locally. An organization with a robust SCM can easily meet demands, ensuring that goods or services are readily available and delivered promptly. However, poor structuring and management of SCM can lead to significant challenges, including service delivery failures. This study aims to analyze supply chain practices in the public sector in Limpopo Province, specifically focusing on public entities. The study seeks to identify weaknesses within the supply chain practices of public entities in Limpopo, highlighting issues such as lack of strategic alignment, inadequate policy implementation, and poor enforcement of SCM rules and regulations. A qualitative research approach was employed, collecting data through interviews with various experts from different public sectors to address the identified flaws in SCM practices. The findings reveal that there is a significant misalignment between supply chain and organizational strategies, which has led to service delivery backlogs, high levels of corruption, and continuous strikes across the province for better services. The study also finds that top-level management, including provincial leaders, do not perceive SCM as vital enough to warrant their attention, resulting in limited support for SCM practitioners. The lack of strategic focus and governance failures in SCM contribute to financial inefficiencies and poor service delivery, underscoring the need for provincial leaders to adopt a more strategic approach to SCM as a tool for improving public service delivery. This study provides insights into the critical role of SCM in the public sector, highlighting the urgent need for effective strategies, policy enforcement, and managerial support to mitigate governance and compliance failures. The research underscores the necessity for public entities in Limpopo to realign SCM strategies with organizational goals to enhance service delivery and combat corruption.

Supply Chain Management (SCM) plays a vital role in any organization, facilitating trade both globally and locally. An organization with a robust SCM can easily meet demands, ensuring that goods or services are readily available and delivered promptly. However, poor structuring and management of SCM can lead to significant challenges, including service delivery failures. This study aims to analyze supply chain practices in the public sector in Limpopo Province, specifically focusing on public entities. The study seeks to identify weaknesses within the supply chain practices of public entities in Limpopo, highlighting issues such as lack of strategic alignment, inadequate policy implementation, and poor enforcement of SCM rules and regulations. A qualitative research approach was employed, collecting data through interviews with various experts from different public sectors to address the identified flaws in SCM practices. The findings reveal that there is a significant misalignment between supply chain and organizational strategies, which has led to service delivery backlogs, high levels of corruption, and continuous strikes across the province for better services. The study also finds that top-level management, including provincial leaders, do not perceive SCM as vital enough to warrant their attention, resulting in limited support for SCM practitioners. The lack of strategic focus and governance failures in SCM contribute to financial inefficiencies and poor service delivery, underscoring the need for provincial leaders to adopt a more strategic approach to SCM as a tool for improving public service delivery. This study provides insights into the critical role of SCM in the public sector, highlighting the urgent need for effective strategies, policy enforcement, and managerial support to mitigate governance and compliance failures. The research underscores the necessity for public entities in Limpopo to realign SCM strategies with organizational goals to enhance service delivery and combat corruption.

This study seeks to create a model for the management of the steel production supply chain in South Africa amid the Fourth Industrial Revolution (4IR), tackling persistent interruptions and delays within the supply chain despite current models. A mixed methodology was utilised in the model's development. The qualitative component entailed a Delphi research corroborated by literature to ascertain pertinent hypotheses, whereas the quantitative component validated the model through structural equation modelling (SEM) utilising SmartPLS software. The research delineated a seven-construct framework comprising cooperation, integration, communication, supply chain structure, Fourth Industrial Revolution technology, organisational culture, and trust. The amalgamation of these designs proved enough for improving the efficacy of the steel production supply chain. The research revealed that the use of Fourth Industrial Revolution technologies and the cultivation of a conducive organisational culture are essential for effective supply chain management in the steel manufacturing industry. The research presents a detailed model that facilitates the planning and organisation of steel industry supply networks in South Africa. This approach underscores the necessity of a cooperative organisational culture, client contentment, and the incorporation of Fourth Industrial Revolution technologies. Steel industry stakeholders are urged to implement adaptable supply chain frameworks (lean, agile, leagile) based on project goals. This study enhances theoretical frameworks by highlighting essential features that have not been previously incorporated into supply chain management models for the steel sector, including the integration of Fourth Industrial Revolution technology and organisational culture. It provides actionable insights for stakeholders in steel manufacture, enhancing supply chain performance via the proposed paradigm. The research methodology improves comprehension of supply chain management within the framework of the Fourth Industrial Revolution (4IR).

There is a disconnect between corporate communication and employee engagement which often leads to poor organizational culture and ultimately poor performance. Therefore, the study aims to address this phenomenon and connect corporate communication to employee engagement for organisational success. Organizations are aware of the indisputable connection between their success and employee engagement in the current competitive environment. With a qualitative method using an interpretivism research paradigm, this study explores how corporate communication at Bakoena Services Pty Ltd. promotes employee engagement. Senior, middle, and junior staff members provide detailed perspectives. The study used semi-structured interviews to investigate how employees feel about the channels of communication that are currently in place, as well as how effective they are perceived to be and how they affect engagement. It also looked at tactics and planned communication enhancements that Bakoena Services Pty Ltd. might use to encourage employee engagement. This study added to our knowledge of the complex interplay within a particular organizational setting between corporate communication and employee engagement as well as made contributions theoretically to the stakeholder theory which underpinned the study. The conclusions provided Bakoena Services Pty Ltd. with insightful information about modifying its communication strategies to foster a workforce that is more engaged, content, and eventually more productive. The study's findings give suggestions for enhancement as well as insight into the role of corporate communication in promoting employee engagement at Bakoena Services Pty Ltd. The study's main recommendation is to strengthen the role of human resources, which is crucial in addition to communication reform. The study also concludes that human resource staff members ought to be equipped with the knowledge and skills necessary for success in communication, engagement strategies, feedback management, and leadership development.

The study evaluates the role that upward communication plays in enhancing effective communication. It is however vital for petroleum retail service stations, and the petroleum industry as a whole to prevent the occurrence of accidents and to ensure safety. Upward communication in an organisation underline the significance of employee feedback in improving organisational performance and shaping decision-making.  It promotes a culture of transparency and trust, encouraging employees to share suggestions, ideas, and concerns with management. The study is conducted in the petroleum sector and focuses on the selected petroleum retail service stations in South Africa. The study adopted a quantitative approach to address the objectives and prove the hypothesis. The data was collected from 740 retail service station employees in South Africa. The data collection method that was utilised for the study was closed-ended questionnaires that were personally administered. The data was analysed using the Statistical Package for Social Science (SPSS 25) and includes both inferential and descriptive statistics. The result of the study proves that there is a relationship between upward communication and effective communication in the South African petroleum sector. The manner in which top-level employees communicate impacts on how effective communication is in sites. The conclusion drawn from the study have shown that upward communication have a positive and significant association with effective communication. The study recommends that there should be various options for communication media, also accommodating technological advances. The study also recommends the creation of an open communication environment where barriers to communication are minimised. This be in need of accessible feedback, manager training, clear communication in the daily operation to promote continuous improvement, transparency, and trust.  

Currently, South African government departments is inundated with common dire predicaments prominently manifested in the form of lack of punctuality, frequent leave requests, lack of engagement and poor management of employee wellbeing, resulting in high absenteeism rates. Flexible working schedules ameliorate the level of contentment and performance, which has been discovered to benefit both the employer and employee. There are limited previous studies done in the South African Public Sector on the subject of adopting flexibility conditions in the workplace. The empirical evidence on the subject is still sparse for the transitional economy like South Africa. Hence, this study sought to investigate the flexible work arrangements in the public organisation. The study adopted an exploratory design and a qualitative approach. A qualitative research approach was chosen for the study because it provided an opportunity to explore the research objectives in greater detail. The sample size and strategy used comprised organising focus group interviews as well as individual interviews, using a sample of 10 participants from different levels of the organisation. The findings of the study revealed that offering flexibility could help and support the emotional health of the employees. The study also found that a call for a flexible work strategy is of interest to most employees as it provides work-life balance. The organisation should consider implementing and making provision for flexible working arrangements which in turn improve job fulfilment, increase work and life, motivate employees, reduce absenteeism and increasing the quality of service delivery at all organisational levels.