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This review emphasizes the urgent need for effective diagnostic strategies for African swine fever (ASF), a serious disease affecting pig populations worldwide. The aim of the review is to analyze the existing research on ASF diagnostics through a comprehensive literature review, focusing on different diagnostic approaches, including clinical assessments, PCR tests, ELISA, rapid tests and epidemiological models. It examines their sensitivity, specificity and overall performance, addressing challenges such as the varying sensitivity of tests and cross-reactivity. The review highlights both the strengths and limitations of current methods and suggests areas for improvement and standardization. Recommendations are made for future research and the development of innovative diagnostic tools to improve ASF surveillance and control. This study makes a practical contribution by providing a detailed assessment of ASF diagnostic methods from which veterinary scientists and practitioners can benefit. Theoretical contributions include the identification of gaps in ASF diagnostics and the refinement of discussions on diagnostic accuracy and reliability. These findings are consistent with the journal’s focus on infectious diseases and veterinary research and support progress in veterinary medicine and animal welfare.

This paper explored factors for infusing change management practices in the public sector and gave recommendations for policy execution of technology. The Western Cape Department of Community Safety (DoCS) launched the Expanded Partnership Programme (EPP) in 2010, as provided for in section 206 of the Constitution to reorient social crime prevention by Community Policing Forums Educate and Share towards Monitoring Guided Actions to increase sustainability, the efficiency of Community Police Forums (CPFs), and the accountability of the police. Even with an investment of R18 million, participation levels were still low and there was no service delivery improvement by the police, thus the need for a change management was borne. The study pointed out the need of strategic methods such as Kotter’s 8-Step Process, Prosci ADKAR, and McKinsey Influence Model to implement institutionalised changes. The research pursued a practical stance and therefore merged objectivist and constructivist positions with an abductive approach. Count data were collected through the use of a Likert scale questionnaire since it was quantitative in nature while qualitative data was obtained from semi-structured focus group discussions. Data analysis was performed using qualitative and quantitative methods such as descriptive statistics, Pearson’s Chi-square, and content analysis, among others. The research findings highlighted key factors such as organizational culture, interests of stakeholders, politics, resources, and the external environment a determinants of change management. The creation of detailed guidelines that are supported by evidence to direct decision making, resource allocation and prioritisation of policies by the government was advocated for in the study. These findings closed the loop between the research academic domain and the practical field, and demonstrated clear steps towards improving accountability, transparency and adequacy of change implementation.

This study focused on improving the diagnosis of African swine fever (ASF) by improving accuracy, reliability and precision using various machine learning algorithms. Data from the European Union Reference Laboratory for ASF and the EU Animal Disease Information System (ADIS) containing clinical information on wild and domestic pigs were processed and converted into numerical and categorical formats for analysis. Various machine learning models were tested as part of the study, including linear regression, Bayesian regression, support vector machines (SVM), decision trees, random forest classifiers, artificial neural networks (ANNs) and logistic regression. The models were evaluated using metrics such as accuracy, precision, recall, F1-score and root mean square error (RMSE). The results showed that the SVM achieved the lowest performance with 44.4% accuracy, followed by the logistic regression model with 61.5%. The neural network model achieved 69% accuracy, closely followed by the decision tree model with 70%. The linear regression model performed slightly better with 74% accuracy. Bayesian regression achieved a higher accuracy of 80%, while the Random Forest model outperformed all others, achieving the highest accuracy of 88.9%. These results make an important contribution to economic efficiency and innovative applications in veterinary medicine and improve disease management through advanced machine learning techniques.

The paper explored the digital capabilities required by the private utility environment to participate and remain competitive in Society 5.0. The development of a digital infrastructure for power utilities within a smart society, utilizing renewable energy and integrating traditional and renewable sources, presents challenges in identifying the specific skills required for effective operation within Society 5.0. While technologies like virtual power plants, smart grids, and microgrids offer potential for enhanced energy management, there is a significant gap in understanding the workforce capabilities needed to support, maintain, and sustain these advanced systems. Therefore, a thorough assessment of the proposed technological structures and requisite skills is essential to ensure successful implementation and operation in this evolving energy landscape. It investigated the type of skills would the workforce require for a private utility to support a super-smart society. A non-probability sampling strategy was utilised to access the entire interest set. Fifteen semi-structured interviews were performed, with the participants featuring a private utility company’s management, administrative, and technical staff. All interviews conducted were recorded after obtaining consent from the participants. Probing questions were asked until the participants supplied the information needed to address the study questions. The findings and the implications are that management and technical staff responsible for managing and coordinating the activities of utilities (water and electricity) and the technical staff responsible for the implementation and maintenance of energy solutions, in a private utility company were interviewed to establish and ascertain their digital capabilities and preparedness for the fourth and fifth industrial revolutions (Society 5.0).

Governance is still a contested concept in both theory and practice.  A proliferation of the concept has sprung up in literature.  One comes across variations where reference is made to co-production, public governance, good governance, hybridity governance, hybrid governance, to name but a few. The aim of this paper is to provide a conceptual overview of the evolution of the concept governance in general and hybrid governance particulary focused on selected African countries.  It is important to clarify what hybrid governance involves, and its implications for state capacity and service delivery.  Furthermore, it is imperative to discern whether hybrid governance could be a useful conceptual tool for facilitating more organised systems of service delivery in parts of Africa and South Africa, or whether it is just “new developmental jargon”. The paper employed a qualitative research approach where secondary sources of information, constituting document analysis, premised around forms of hybrid governance in selected African countries were explored. The paper makes a conceptual contribution to the collaborative international governance discourse.

Despite anecdotal evidence indicating that a lack of management support towards internal audits (IAs) affects their efficacy, only a few studies have been conducted on the topic in a provincial government (PG) context. Besides, studies on the lack of management support towards IA efficacy lack theoretical grounding. This research aims to address this knowledge gap. The paper applied principal–agent theory to identify barriers to efficient management support towards the IA role within PGs, using the case of the Western Cape Government (WCG). Initially, questionnaires were sent to 260 WCG participants. The results revealed that management has a bad perception of IA as adding value to the organisation and does not take timely corrective actions based on audit findings and recommendations. The study adds to the limited knowledge about management and the IA relationship within PGs.

The absence of a digital platform that facilitates customised and personalised, accurately fitted apparel has created a vacuum for those looking for tailored apparel as a form of individualism that mirrors their perceived personality, attitudes, and behaviour. This research study investigated the need to purchase customised and personalised apparel online in South Africa against the backdrop of evolving disruptive technologies driving a growing global economy and marketplace. This has dramatically influenced the textile and fashion industry to integrate with the digital world. A sample of 100 participants was divided into 4 age categories. A total of 27 responses were collected utilising an online survey questionnaire and analysed using descriptive statistics on Microsoft Excel. The demand for customised, personalised apparel online has been investigated by analysing who purchases apparel from a dressmaker. The results, while indicating that less than half of the respondents purchase customised, personalised apparel, also highlight a significantly high percentage that does, substantiating the potential of this market. Furthermore, the findings reveal a strong willingness among respondents to use 3D mobile scanning, purchase more if it is more accessible, and participate in the design process online. The study is essential to understanding motivations for purchasing customised and personalised apparel, market demand and consumer preferences to boost local economic growth, and customising and personalising clothing as an individual expression within a unique social context. The outcome will enable customers to partake in online design and add their body measurements to purchase apparel tailored to their specific needs.

The aim of this paper is to explore how the cognitive elements of social identity within informal structures influence employees' perceptions and, in turn, impact corporate strategy. This study proposes a framework for managing such informal structures relevant to both theory and practice by employing a social identity theoretical framework. The research examines the impact of informal structures on corporate strategy within the context of a case study involving a South African mining company. The paper establishes that norms, values, and thought processes toward corporate strategy are informally shaped by social identity groups. It suggests that in future research, employing an alternative theoretical framework could serve to establish the reproducibility of the results. Furthermore, a shift towards quantitative research methods would enhance the comprehensiveness of validity testing through methodological triangulation. The proposed framework offers a comprehensive theoretical perspective that contextualizes the interaction between cognitive components of social identity and corporate strategy. It illustrates how aligning personal goals with corporate objectives, maintaining consistent communication, implementing fair employee recognition practices, and equitably sharing resources can mitigate opposition from social identity groups toward corporate strategy. The research presents a pioneering case study of a mining company that employs social identity theory to delineate the informal structure and ascertain how social identity elements influence corporate strategy.