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.

Over the years, there have been huge variations in the growth performances of the economies in SSA. Whilst these disparities can be attributed to a wide range of factors, it is generally understood that differences in their economic structures explain the capacity for generating growth and absorbing shocks during a recession. This study contributes to literature by examining the impact of institutional quality and financial development on economic growth in low- and middle-income countries. Data was obtained from the World Bank and covered the period from 1975 to 2020. The study employed an ARDL model to establish both short and long run dynamics in the two sub samples. The study confirmed both short and long run causality from financial and institutional quality to growth. Institutional quality enhances growth in both low- and middle-income countries in the long run. Whilst the direction of the impact is the same, the magnitude of the impact of institutional quality is different within the two categories. Institutional quality plays a more significant role in low-income countries compared to middle income economies. The study brings out potential financial fragility and systemic risks in financial institutions among countries in SSA. Policies that enhance the quality, consistency, and uniformity of legal reasoning in judicial decisions are ideal. Reducing the risk profile for investments may enhance the flow of credit to the private sector by financial institutions.

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.

The main aim was to determine how the supply chains of the FMCG industry may enhance their resilience through the adoption of digital technologies. Additionally, enhancing visibility and transparency through the augmentation of operational efficiency to elevate overall performance. This analysis utilised the Uncertainty Framework theory, which provides a systematic approach for identifying, categorising, and managing uncertainties within the supply chain. Organisations can formulate strategies to effectively manage and mitigate risks by understanding the many dimensions of uncertainty within the supply chain and their interrelations. The research utilised a qualitative methodology, gathering data via semi-structured interviews with 25 supply chain specialists and senior executives possessing extensive experience in the FMCG sector. The study's findings indicate that digital transformation enhances agility, transparency, and data-driven decision-making, which is crucial for bolstering the resilience of the FMCG supply chain. Six themes emerged from the findings: data-driven decision-making, supply chain visibility and transparency, automation and robots, collaborative platforms and ecosystems, predictive analytics and forecasting, and traceability and sustainability. The research will enhance our understanding of the implementation of digital transformation initiatives throughout FMCG supply chains. This involves analysing the application of digital technologies in supply chain operations. The study may ascertain the impact of these technologies on various resilience criteria, including flexibility, agility, visibility, and responsiveness, by analysing the role of digital transformation in FMCG supply chains. The research findings can assist supply chain managers in making educated decisions on investments and strategic planning for digital transformation initiatives.Research on digital transformation in the FMCG sector is limited, particularly on these unprecedented upheavals. Moreover, there is little study connecting digital transformation with sustainability and resilience in FMCG supply chains, which is essential for comprehending how these projects might collaboratively enhance robust supply systems.

The study significantly enhances the current literature by highlighting the importance of financial management skills in the success of MSMEs, especially in the context of small construction firms functioning under unstable and uncertain economic conditions. It offers insights on how effective financial management can alleviate the negative impacts of economic uncertainty, including variable interest rates and regulatory modifications, which were intensified by the COVID-19 pandemic. This study concentrates on BCO Construction in Johannesburg, examining the distinct financial issues encountered by small construction firms and the potential solutions through improved financial management strategies. The research delineates numerous vital financial management competencies needed for project accomplishment. This encompasses the capacity to manage liquidity efficiently, sustain profitability, and utilize financial instruments such as Net Present Value (NPV) and Earned Value (EV) management. It emphasizes the significance of abilities in managing financial leverage, which can facilitate the attainment of project objectives within budgetary and temporal limitations. The findings indicate that the absence of trained financial personnel, ineffective payment systems, and liquidity issues are substantial obstacles for BCO Construction. Consequently, it is advisable to tackle these difficulties through specialized financial literacy and management training to enhance overall project performance. The study employs a quantitative methodology, including standardized questionnaires administered to eighty (80) participants to gather data regarding the problems and competencies required for financial management in building projects. The analysis conducted with SPSS version 29 indicates that enhancing communication channels, integrating strategic financial planning, and implementing thorough training programs are essential for aligning financial objectives with overarching corporate goals. This alignment is essential for optimizing resource allocation, guaranteeing financial stability, and improving competitiveness in the construction sector.  

Employee engagement has become a prominent topic in workplace discourse, particularly within academia, yet the academic literature on this subject remains relatively limited, especially in the context of Ghana. This paper seeks to address this gap by examining the factors contributing to employee engagement among academics and exploring their interrelationships for enhanced engagement of faculty. This was done through a comprehensive literature review, drawing on peer-reviewed journal articles, working papers, textbooks, and other relevant published sources, as well as online databases, including EBSCO Business Source Premier, Emerald Full Text, Google Scholar, Sci-Space, Science Direct, Sci-Hub, and Scopus. This study identifies key factors influencing employee engagement in higher education institutions as co-worker relationships, effective supervision, confidence in management, meaningful work roles, perceived organisational politics, organisational resources, effective leadership, and compensation and monetary benefits. The findings reveal a concerning trend of a higher number of disengaged or unengaged employees compared to those who are actively engaged. Furthermore, the consequences of employee engagement identified in the literature include job satisfaction, employee retention, and organisational citizenship behaviours, while challenges and barriers to engagement include poor management-union relationships, poor work environments, poor management practices, and inadequate communication. This paper contributes to the understanding of employee engagement in academia and provides insights for improving engagement levels in higher education institutions in Ghana.

Penetration and adoption of YouTube is growing internationally and locally. YouTube access has resulted in the emergence of vlogging. Vlogging resultantly has caught the attention of researchers, yet its role in determining consumers' buying behaviour, in general, has been less explored. There is little research on the factors that encourage Generation Z (Gen Z) purchasing behaviour based on YouTube beauty makeup vlogging. To close this gap this study adopted qualitative research. Convenience non-probability sampling was conducted using semi-structured interviews in the collection of data amongst seven Gen Z (female) vlog make-up users between the ages of 18 and 27. Thematic analysis technique was used to analyse the collected data. The main findings of the study revealed that beauty makeup vlogging affects the decision to purchase branded makeup products based on the beauty makeup awareness, vlogger product knowledge, makeup brand preference, attitude toward the brand, beauty makeup application learning techniques, brand affordability and vlogging channel usage. Furthermore, South African Gen Z consumers’ preference for international beauty makeup brands stems from the greater exposure of those brands, in comparison to local brands. The study concluded with contributions and future research directions.

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.

This paper examines the socio-economic dimensions of population migration, emphasising its role as a vital social process within the broader societal framework. Employing a structural-functional approach, the study highlights how migration is shaped by and contributes to societal structures, norms, and cultural dynamics. Migration is influenced by socio-structural and cultural factors, reflecting the interconnectedness of institutions and societal conditions. For instance, urban industrial societies, characterised by institutional and structural compatibility, encourage rapid spatial mobility and long-distance migration. Conversely, traditional rural agrarian societies favour limited mobility and slower migration rates. Drawing on Durkheim’s theory of social evolution, the paper underscores migration’s transformative impact on society. It facilitates the transition from segmented, mechanically organised societies to complex, interdependent ones with advanced divisions of labour. This evolution signifies migration’s role as a driver of societal progress and adaptation. Secondary data analysis reveals that socio-cultural considerations, including family circumstances, are as influential as economic factors in migration decisions. The paper argues for government initiatives that promote social cohesion and regional integration to enable equitable migration opportunities. Such policies are essential for harnessing migration’s potential as a tool for societal advancement. By addressing the interplay of social, cultural, and economic factors, the study provides a nuanced understanding of migration as a dynamic and socially conditioned phenomenon. This research contributes to the discourse on population mobility by linking structural-functional theory with contemporary migration dynamics and policy implications.