International Journal of Business Ecosystem & Strategy

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 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.

Whenever the issue of poor employee performance arises, the question of the provision of staff training takes center stage. Staff training is seen as the principal driving force and central to effective and efficient job performance. The quest to achieve high performance at the workplace has always been derailed by an acute lack of skills. Despite the plethora of studies of staff training and employee performance in different sectors, the literature has not yet explored the relationship between the two variables in the transport sector, particularly in the South African context. However, the relationship between staff training and employee performance has been engulfed in and apprehended by complexities, mistrust, and misunderstandings. It is through this premise that this paper seeks to evaluate the influence of staff training on employee performance in the transport sector. The study adopted an exploratory research design and tapped into a qualitative research approach. Using the purposive sampling technique, a sample of 15 respondents, comprised of skill development representatives of organizations operating in the transport sector in Durban, were interviewed. Unstructured interviews were used to collect data from the respondents. The key findings revealed that staff training has a positive influence on employee performance in the transport sector. The study plays a pivotal role in extending knowledge in the fields of staff training and employee performance.

Competitive intelligence strategies are employed by higher education institutions to assist with student recruitment. These competitive intelligence (CI) strategies help maintain or increase market share in education. Utilising competitive intelligence is crucial for firms in competitive markets, assisting in strategic planning and execution. Higher education organisations can benefit from CI to make informed decisions and develop strategic goals. The competition between selected public universities that reside in the same town has resulted in devising competitive strategies to attract grade 12 students with effective and innovative student recruitment strategies. The study sought to examine how competitive intelligence is used as a strategy to promote student recruitment at selected public universities. The study adopted a quantitative research approach where 234 first-time entering university students were used as key informants. To collect data, a questionnaire was used and is attached. It was discovered that both institutions utilised similar strategies to recruit students. Results reveal that the selected public universities employ traditional and technology-based strategies for student recruitment, relying on past success rather than a standardised approach based on competitive intelligence. Further research is needed to evaluate the effectiveness of competitive intelligence strategies in student recruitment, aiming to promote diverse communication needs among current and potential students.

Armed conflict significantly disrupts public health systems, yet the mechanisms linking violence to endemic disease outbreaks remain insufficiently understood. This study examines how violent conflict affects disease governance and health service delivery across Sudan’s conflict-affected regions between 2000 and 2024. Using a spatial panel dataset that combines geo-referenced conflict events from the Armed Conflict Location and Event Data Project (ACLED), epidemiological surveillance records, environmental indicators, and subnational governance measures, the analysis evaluates the relationship between conflict intensity, governance capacity, and endemic disease incidence. The results indicate that areas experiencing higher levels of violence exhibit significantly greater incidence of malaria, cholera, and measles. These effects are particularly pronounced where health infrastructure has been damaged and administrative capacity has weakened. Regions with stronger local governance demonstrate greater resilience, maintaining partial vaccination coverage and disease surveillance despite ongoing conflict. Spatial models further reveal significant spillover effects, with outbreaks spreading along displacement corridors and border regions. The findings highlight the central role of governance capacity in mediating health outcomes during armed conflict and underscore the importance of conflict-sensitive health interventions. Strengthening decentralized health governance, protecting health infrastructure, and improving cross-regional disease surveillance are essential for mitigating endemic disease risks in fragile and conflict-affected settings.

The study examines how environmental sustainability reporting influences the performance of listed construction firms in Zimbabwe. The study responds to a notable research gap in developing economies, particularly within the construction sector, where limited qualitative evidence exists on how managers perceive the relationship between environmental corporate sustainability practices and organisational performance. While prior studies have largely focused on quantitative approaches in developed contexts, this paper adopts a qualitative perspective to generate context-specific insights. Guided by the interpretivist philosophy and informed by Signalling Theory and Legitimacy Theory, the study employed a qualitative research design using purposive sampling. Data were gathered through semi-structured interviews, and document analysis of sustainability reports from selected firms listed on the Zimbabwe Stock Exchange. The data were analysed through thematic and content analysis to identify recurring patterns and perceptions. The findings indicate that environmental sustainability reporting is generally perceived to enhance firm performance through improved corporate reputation, stronger stakeholder confidence, regulatory compliance, operational efficiency, waste reduction, and better resource management. Key environmental practices identified include environmental management systems, recycling and reuse initiatives, pollution control measures, land rehabilitation, and water conservation strategies. However, the study also found that firms face constraints such as resource limitations, economic instability, and uneven regulatory enforcement, which may hinder the full benefits of environmental sustainability initiatives. The paper concludes that the environmental dimension of corporate sustainability reporting can contribute positively to organisational performance when supported by effective implementation and strategic commitment. It recommends that listed firms strengthen environmental governance systems, integrate sustainability into core business strategy, invest in cleaner technologies, and improve disclosure quality. Policymakers are encouraged to enhance regulatory support and industry guidance for sustainability reporting. Future research may extend this inquiry to other sectors, compare listed and non-listed firms, and explore longitudinal changes in sustainability reporting practices across emerging markets.

This paper examines how a purpose-driven organisation emerging from a highly volatile developing economy can build a globally competitive business process outsourcing (BPO) platform while contributing to brain-drain reversal. Using ZimWorX, a Zimbabwean-headquartered BPO enterprise, as a longitudinal case study, the study aims to develop a theoretically grounded framework explaining strategic emergence under conditions of volatility, uncertainty, complexity, and ambiguity (VUCA) for an emerging organisation. Situated within the broader transformation of global outsourcing markets and the democratisation of digital talent, the paper positions Zimbabwe not as a peripheral participant but as a credible contender in high-value global services delivery. The research adopts a qualitative single-case study design grounded in conceptual theory-building. Drawing on secondary data, organisational records, industry reports, and contextual economic analysis, the study employs abductive reasoning to synthesise four theoretical lenses: Entrepreneurial Orientation Theory, Market Entry Strategy frameworks, Chaos Theory, and Strategic Decision-Making Theory. Through cross-theoretical integration, the analysis traces how ZimWorX navigated Zimbabwe’s macroeconomic instability, currency volatility, high unemployment, and institutional constraints to construct a resilient and differentiated service platform serving clients primarily in the United States and the United Kingdom. The findings reveal that ZimWorX’s success is not attributable to cost arbitrage alone, but to a distinctive combination of entrepreneurial vision, purpose-driven culture, agile niche-focused market entry, and a disruptive “insourcing” philosophy that reframes outsourcing as premium human capital partnership. The firm’s strategic posture reflects adaptive decision-making under disequilibrium conditions, where uncertainty becomes a catalyst for innovation rather than paralysis. Importantly, the organisation embeds social purpose, specifically the reversal of skilled migration and the creation of dignified employment, into its competitive strategy, thereby aligning commercial performance with developmental impact. The study culminates in the development of the ZimWorX Strategic Emergence Framework (ZSEF), a conceptual model that illustrates how emerging-economy firms can integrate entrepreneurial orientation, strategic agility, purposeful positioning, and adaptive market entry to achieve sustained global competitiveness in VUCA environments. The framework advances emerging organisation theory by demonstrating how firms operating in structurally disadvantaged contexts can convert institutional adversity into strategic differentiation. The paper concludes that purposeful strategic emergence offers a viable pathway for developing economies seeking participation in knowledge-intensive global value chains. Rather than replicating traditional offshore outsourcing models, African BPO platforms can leverage mission-driven identity, digital infrastructure, and agile governance structures to compete on quality and relational capital. The study recommends that policymakers support digital talent ecosystems, regulatory clarity, and export-oriented service platforms, while organisational leaders institutionalise adaptive strategic processes and purpose-centred cultures. Future research may test the ZSEF across multiple African BPO firms, examine performance implications quantitatively, or explore comparative applications in other emerging-market knowledge industries.

This paper examines the emergence and strategic evolution of InnBucks MicroBank Limited, a Zimbabwean Microfinance organisation that evolved from a restaurant-change management digital wallet into a licensed deposit-taking microfinance bank serving around 3 million users within 4 years. Operating in what is arguably one of the most extreme VUCA (volatile, uncertain, complex, ambiguous) environments globally, characterised by currency failures, chronic hyperinflation, regulatory unpredictability, and severe infrastructure deficits, InnBucks offers a compelling case for exploring how organisations emerge, adapt, and scale amid genuine chaos.  The analysis incorporates five theoretical frameworks: Chaos Theory, Entrepreneurial Orientation Theory, Disruptive Innovation and Frugal Innovation, the Viable System Model, and Strategic Decision-Making Theory. These are utilised to explain InnBucks' institutional pivots, its evolution to a registered deposit taking microfinance, its utilisation of Simbisa Brands' restaurant network as financial infrastructure, and its recent shift to cloud-native banking through the Mambu/AWS partnership. The paper proposes the ARISE (Agility, Resilience, Innovation, Systemic, Entrepreneurial) conceptual framework, which combines five theoretical perspectives into a practical model to steer strategic emergence in resource-limited, institutionally fragile environments. It concludes that InnBucks' trajectory challenges traditional assumptions about the prerequisites for financial innovation and provides transferable insights for emerging organisations operating within Sub-Saharan Africa's growing fintech ecosystem.

This conceptual theory-building study examines how African FinTech organisations navigate volatility, uncertainty, complexity and ambiguity (VUCA), using Mukuru as a paradigmatic single case. It develops the Mukuru Ambidextrous Strategic Emergence Model (MASEM) by integrating Entrepreneurial Orientation, Strategic Agility, Organisational Ambidexterity, Chaos Theory and Strategic Decision-Making Theory. Using secondary evidence, longitudinal organisational analysis and abductive cross-theoretical synthesis, the study explains how Mukuru combines exploitation of established remittance and agent-network capabilities with exploration of digital innovation. The analysis identifies multidexterity, the orchestration of multiple, potentially contradictory business models across heterogeneous regulatory settings, as a key capability linking strategic agility to sustained emergence. MASEM conceptualises VUCA pressures as external conditions, entrepreneurial and adaptive capabilities as the strategic core, responsible AI and green digital finance as enabling capabilities, and resilience, inclusion and antifragility as intended organisational outcomes. The model is conceptual rather than empirically validated; accordingly, future research should test its constructs and causal relationships across multiple African FinTech organisations. The study contributes an Africa-centred framework and practical guidance for managers seeking to align innovation, governance, sustainability and regulatory adaptability under persistent environmental turbulence.