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This study aimed to examine the influence of team management approaches, specifically team structuring, leadership, motivation, and communication, on the performance of tea processing projects in Rwanda. The study is grounded in Belbin’s Team Role Theory and the Iron Triangle Model and adopted descriptive and correlational research designs. The target population included 185 respondents, comprising factory staff, supervisors, team leaders, and officials from NAEB, MINAGRI, and the Rwanda Tea Growers Cooperative. Data were collected using structured questionnaires and interviews. A pilot test was conducted with 19 respondents to determine the instrument's ability to produce consistent results over time. Validity and Reliability testing of the research instrument yielded 0.78 and a Cronbach’s Alpha of 0.79 from pilot results, confirming the instrument's validity and reliability respectively. Data analysis involved descriptive and inferential statistics, including Pearson correlation and regression, using SPSS version 28 at a 0.05 significance level. 

Macroeconomics plays an important role in influencing firm value and performance. This study aims to analyze the effect of inflation, exchange rates, interest rates, and Gross Domestic Product (GDP) on firm value, with firm performance as a mediating variable. Firm performance in this study is proxied by liquidity, which is measured using the Current Ratio (CR), representing one specific dimension of firm performance rather than its overall performance, while firm value is proxied by the Price Earning Ratio. The study was conducted on infrastructure sector companies listed on the Indonesia Stock Exchange for the 2019–2023 period, using a purposive sampling method. Data analysis was carried out through classical assumption tests, multiple linear regression, and mediation analysis using the Sobel test. The results showed that inflation, interest rates, and GDP had a significant effect on Current Ratio, but exchange rates did not. Meanwhile, inflation, interest rates, and exchange rates had a significant effect on firm value, but GDP did not. The mediation test showed that Current Ratio only significantly mediated the effect of inflation on firm value. These findings indicate the importance of liquidity management and strategies in dealing with macroeconomic risks. Further research is recommended to examine other mediating variables and different industrial sectors.       

Effective management of human, material, and financial resources is crucial for delivering housing construction projects successfully. In Musanze District, Rwanda, many housing projects have faced delays and cost overruns, largely due to weaknesses in planning, coordination, and resource use. Using the Resource-Based View (RBV) and Systems Theory as guiding frameworks, this study assessed how resource management strategies impact the performance of housing construction projects. A descriptive survey design with correlational analysis was used. The study targeted 152 stakeholders, including district infrastructure officers, project managers, site engineers, architects, quantity surveyors, foremen, skilled workers, and material suppliers. A stratified random sample of 110 participants was drawn, and a 10% pilot test (n = 11) was conducted to ensure the questionnaire’s clarity. Reliability analysis using Cronbach’s Alpha produced a value of 0.826, indicating strong internal consistency. Content validity was confirmed with a CVI of 0.87. Data were analyzed in SPSS 25 using descriptive statistics, Pearson correlation, and multiple linear regression at a 5% significance level. Findings indicated that overall project delivery performance was high (composite mean = 4.38). Key delivery indicators such as quality (mean = 4.74), scope achievement (4.56), and stakeholder satisfaction (4.35) were strong, while timely completion recorded the lowest performance (mean = 4.02). Material Resource Management (MRM) exhibited a strong, positive, and statistically significant correlation with project delivery (r = 0.510, p = 0.000), making it the most influential individual strategy.

Seed potato farming projects are essential for increasing agricultural productivity, strengthening food security, and supporting rural livelihoods in Rwanda. However, their performance is often affected by internal organizational culture challenges such as weak communication, limited accountability, unresolved conflicts, and low employee motivation. This study examined the influence of key organizational culture aspects—communication, accountability, conflict resolution, and employee motivation—on the performance of seed potato farming projects in Rwanda. The study was guided by Organizational Culture Theory and Systems Theory and employed both descriptive and correlational research designs. The target population consisted of 420 individuals, including project managers, agronomy staff, field operations personnel, administrative staff, and smallholder farmers involved in the RAB potato seed multiplication project. A sample of 230 respondents was selected using appropriate sampling techniques. Data were collected through questionnaires, interviews, and document review. A pilot test involving 23 respondents was conducted to assess the consistency of the research instruments. The obtained results show a Cronbach’s Alpha value of 0.78, confirming reliability, and a CVI of 0.82, which exceeds the acceptable threshold for validity, meaning the research instruments were both dependable and appropriate for accurately measuring the study variables. Only items with a Content Validity Index (CVI) of at least 0.70 were retained. Data were analyzed using descriptive statistics, correlation, and regression analysis with SPSS version 28 at a significance level of 0.05.      

This paper focuses on a classic policy trade-off by unraveling the role of financial deregulation in driving financial stability and exploring how the role of regulatory quality can affect this relationship. To this end, this study uses a balanced panel dataset of 73 countries across a period of ten years starting from 2014. The empirical specification utilizes a two-step System GMM approach, accounting for both endogeneity, unobserved heterogeneity issues, and persistence in financial stability. Specifically, financial stability is measured by non-performing loans (NPLs), which represent the level of risk exposure of national banking sectors. The findings reveal that financial freedom leads to higher level of financial instability, proving theoretical predictions of the excessive risk-taking behavior of lending institutions encouraged with financial deregulation. Furthermore, the interaction term between financial freedom and regulatory quality is statistically significant, suggesting that financial deregulation can be compensated by the quality of regulatory environment. The role of the GDP per capita variable used for stabilizing the findings is significant as it represents the resilience of more developed economies. The implications of the results are complex. In a more institutional context, this finding suggests that financial stability is not a direct function of financial freedom but is conditional on institutional capability. Hence, high regulatory quality can mitigate the instability caused by financial freedom, thereby enabling a balanced approach.

There is inadequate literature on research comparing the motivations of Generations Y and Z, especially for non-academic university staff. Therefore, this research compared the motivation of the two generational cohorts amongst non-academic staff at the Zimbabwe Open University. Two sub-objectives guided the research: first, to compare the intrinsic motivation of the two generations and the extrinsic motivation of the two generations. The generational theory guided the research, elaborating that generational cohorts have different preferences. The supplementary theory was Maslow’s hierarchy of needs, which shows how employees are motivated by the provision of needs from basic to fulfillment needs. The study was quantitative, using descriptive statistics to compare the motivation of Generation Y and Z. The research utilised closed-ended questionnaires, which were distributed to 196 respondents. SPSS version 30.0 was used for data analysis. Reliability, validity, and data normality tests confirmed the data. The findings show that both generations are motivated intrinsically, but preferences on the intrinsic motivators diverge. The research found that Generation Y is more extrinsically motivated than Generation Z. The research recommends using intrinsic motivation for Generation Z employees and using both intrinsic and extrinsic motivation for Generation Y employees.

Investigations into establishing a framework for incentivising non-academic personnel in universities have been scarce. The research sought to establish a paradigm for motivating non-academic personnel in institutions. The study was informed by Herzberg’s two-factor theory and Adams’ equitable theory of motivation. The research employed a quantitative methodology, wherein a sample of 216 non-academic personnel at the Zimbabwe Open University filled out closed-ended questionnaires. Data analysis was conducted with SPSS version 30.0. The resulting framework details the obstacles, intrinsic motivators, extrinsic motivators, and performance outcomes of university non-academic personnel. The report advises colleges to utilise the framework to create motivational programs for non-academic personnel.

This study examines the impact of Big Data technologies on operational efficiency in DP World’s supply chain and logistics operations. Employing a mixed-methods approach, we surveyed 405 stakeholders and performed 20 semi-structured interviews to investigate the incorporation of advanced analytics, machine learning, and real-time processing capabilities. The study employs Technology-Organization-Environment (TOE) and economic frameworks to examine the technological, organisational, environmental, and economic determinants affecting Big Data adoption. Results indicate substantial positive effects on the reduction of operational complexity, enhancement of customer responsiveness, improvement of supplier connections, and strengthening of technical partnerships. PLS-SEM analysis utilising ADANCO software validated all hypotheses, demonstrating robust connections between Big Data deployment and supply chain efficiency measures. Essential findings indicate that governmental assistance, organisational culture, and information technology infrastructure are crucial success determinants. The report offers practical advice for supply chain managers and policymakers, emphasising Big Data's revolutionary capacity for competitive advantage in global logistics operations.

This study investigates the application of planning theory frameworks to enhance the effectiveness of employment policies in South Africa. This study seeks to develop a conceptual framework that integrates core principles from planning theories with the formulation and implementation of employment policies. This framework is constructed through a critical assessment of planning theories and employment policies. The concept is subsequently applied to South Africa, a nation facing significant unemployment rates and inequality, despite the efforts of policymakers. This study emphasises the potential benefits of utilising planning theory frameworks in the formulation of employment policy. The benefits encompass increased stakeholder engagement, efficient policy execution, and improved policy outcomes. This study adds to the existing literature on labour market planning theory and employment policy. This document offers practical insights that may assist policymakers and practitioners in improving the effectiveness of employment policies in South Africa.

The term "Black Tax" refers to the perceived financial responsibilities that Black South African professionals feel obligated to meet in order to support their families. This complex socio-economic phenomenon traverses the nuanced relationship between cultural expectations and financial pressures. This research investigates the impact of socioeconomic background on the emergence and severity of Black Tax responsibilities among young professionals in rural Limpopo. A qualitative research design was utilised, characterised by exploratory inquiry. Data were collected through semi-structured interviews with five purposefully selected emerging professionals in rural Limpopo, who offered significant insights into the complex relationships among rural upbringing, financial advancement, and familial responsibilities. This research utilises the framework of Structural Functionalism to conceptualise Black Tax as a social mechanism that supports family stability and economic equilibrium in communities with insufficient formal support structures. The findings reveal contradictions between individual aspirations and collective expectations, especially as young professionals navigate the challenges of balancing personal development with familial obligations while addressing their own needs. This study critiques the simplification of Black Tax as solely a financial obligation, arguing that it is a complex socio-cultural phenomenon influenced by historical inequalities and the necessity for community survival. This research enhances discussions on class mobility, intergenerational obligations, and socio-economic dynamics in the post-apartheid context, providing a detailed understanding of the complexities involved in achieving success that cannot be exclusively linked to individual efforts. The research emphasises the necessity for cohesive financial literacy and community empowerment frameworks to align personal development with cultural responsibilities

The integration of artificial intelligence (AI) into human resource management (HRM) processes has significantly enhanced organisational operations by optimising efficiency in talent acquisition, performance assessment, and employee engagement initiatives. Nonetheless, this integration introduces ethical challenges, including algorithmic bias, data privacy concerns, and the reduction of human decision-making autonomy. The purpose of the review is to systematically examine the ethical considerations associated with AI deployment in HRM, explicitly addressing issues related to bias, transparency, privacy breaches, and job displacement. Additionally, it evaluates strategies for deploying AI responsibly to uphold principles of fairness, accountability, and stakeholder trust. Considering the purpose of the review, a comprehensive systematic review of peer-reviewed literature was conducted, sourcing data from Scopus, Web of Science, and Google Scholar. The review targeted publications relevant to the aims of the study, utilising search keywords such as "ethical consideration," "algorithmic bias," and "data privacy." Data synthesis was conducted via narrative methods complemented by thematic analysis to identify prevailing patterns, research gaps, and emergent themes. Findings revealed that AI enhances HRM functions through automation, predictive analytics, and the delivery of individualised employee experiences, contributing to cost reductions and improved decision-making efficacy. However, potential negative implications include reinforcement of existing biases, violations of privacy, lack of transparency in decision-making processes, and threats to employment stability. Empirical evidence indicates disproportionate impacts on marginalised populations and underscores the necessity for ethical frameworks, including the development and implementation of explainable AI (XAI) and hybrid human-AI systems. Finally, it is affirmed that although AI offers transformative operational benefits within HRM, the associated ethical risks necessitate the implementation of comprehensive governance structures, bias mitigation protocols, and active stakeholder participation. Approaches such as hybrid human-AI systems, targeted workforce training, and adherence to regulatory standards are essential to ensuring sustainable and ethical AI integration. Future research should prioritise investigating employee perceptions and conducting cross-cultural analyses to enhance ethical AI governance in HRM contexts.

Trade in the Southern African Customs Union (SACU) region experiences imbalances due to South Africa’s dominance and fragmented communication. This study aims to highlight communication's strategic role in enhancing trade policy, logistics, and cooperation within SACU, focusing on digital platforms, ICT, policy alignment, and transparency. A qualitative, literature-based methodology is conducted, employing thematic analysis of academic and institutional sources to explore how communication strategies influence trade facilitation and integration within SACU. Five key themes are identified: Uneven ICT infrastructure, Economic impact of clear policy communication, Trade imbalances due to information asymmetry, Underutilised digital trade platforms, and Urgent need for communication capacity building. Communication’s crucial role for SACU integration includes institutional coordination, private sector engagement, and crisis management. It identifies missed strategic opportunities like dashboards and localized messaging. Addressing gaps in communication capacity, ICT infrastructure, digital platforms, and policy communication is vital for equitable, efficient regional trade integration. Policy proposals include investing in infrastructure, consolidating digital platforms, standardizing protocols, and promoting inclusive consultations. The study emphasizes adaptive governance and integration with regional value chains to ensure inclusive, efficient trade facilitation and equitable economic development across all member states.

In the context of Industry 5.0, the convergence of Artificial Intelligence (AI), decoloniality, and epistemic justice presents both opportunities and challenges for Human Resource Management (HRM) in the South African public sector. This paper emanates because of the possibility that AI-driven HRM practices could reinforce colonial legacies, repeat systemic bias, and prolong epistemic exclusion if not led by justice-oriented perspectives. This paper aims to explore how concepts of ethical, decolonial, and epistemic justice might inform the use of AI in HRM to promote inclusivity and fairness. This paper employs bibliometric analysis to map and evaluate scholarly discourse on AI, decoloniality, and HRM, aiming to uncover research trends, gaps, and theoretical intersections. Findings indicate that although AI can be efficient and predictive, its application in HRM frequently ignores ethical requirements and local knowledge systems. To protect equity, the study recommends integrating decolonial ideas, participatory methods, and epistemic justice frameworks into HRM technology. This paper concludes that the South African public sector may reconcile technological innovation with transformation and social justice imperatives by ethically aligning AI in Industry 5.0.

Assessing risk factors for juvenile delinquency necessitates a holistic approach, taking into account individual, familial, societal, and communal influences. Risk factors are conditions or attributes that may elevate the probability of adverse outcomes or behaviours in adolescents. These elements may include multiple dimensions of a young individual's life, such as personal, familial, peer, educational, and communal influences. Globally, crime persists as a pressing issue, predominantly involving youngsters in offences such as cybercrime, robbery, theft, shoplifting, substance misuse, cash-in-transit heists, violent crimes, abduction, kidnapping, gang-related activities, cultism, and ritual killings. It is imperative to confront the prevailing trend of juvenile criminal actions inside society. This article analyses risk variables associated with juvenile criminal behaviour and the responses of the criminal justice system and its stakeholders. The research employed a mixed-methods approach, incorporating in-person interviews and surveys for data acquisition.  Research identifies determinants of criminal behaviour, including low self-control, impulsivity, and substance abuse. Family-related factors encompass parental neglect, maltreatment, and inadequate support. Social factors involve associations with delinquent peers, poverty, and discrimination. A correlation exists between drug, alcohol, and substance abuse and criminal behaviour among youth. Parental indifference may impact youth decision-making. Some young offenders are incarcerated in correctional facilities, while others participate in rehabilitation through diversion programs. The findings highlight the necessity for cohesive treatments involving family, community, and institutions, prioritising mental health support and restorative justice to diminish youth recidivism. The study advocates for the active involvement of stakeholders, including non-governmental organisations and rehabilitation centres. It emphasises the necessity for vigilant supervision and monitoring of youth by parents, guardians, family members, communities, institutions, and the criminal justice system to proactively prevent access to drugs and substances that incite violence and criminal behaviour. Furthermore, it underscores the importance of integrating family, community, and institutional interventions, mental health support, and restorative justice to mitigate youth recidivism. Additionally, it calls for the regular monitoring of youth mental health and the provision of effective interventions such as rehabilitation, youth crime prevention, treatment, and morality regeneration programs.

Developing countries are experiencing significant governance challenges in the form of corruption, fraud, and mismanagement of public funds. These issues are most pronounced at the local government level, where municipalities are particularly affected. In South Africa, the persistent failure of mechanisms intended to hold public servants accountable for maladministration and unethical conduct has been evident. This has contributed to weakened governance structures and compromised service delivery. Numerous instances of unethical behaviour have gone unpunished, highlighting the absence of effective consequence management and posing ongoing threats to sustainability in local governance. The purpose of this research paper is to examine and evaluate the role of effective oversight mechanisms in strengthening accountability and promoting appropriate consequences for misconduct within local government systems, with an emphasis on improving public service delivery. A qualitative desktop research methodology was employed, relying on existing literature and data to explore the topic under investigation. The findings revealed that, despite the introduction of several accountability initiatives, these have not succeeded in holding local government officials responsible for their actions. Significant gaps in monitoring, enforcement, and the application of sanctions for unethical conduct have undermined progress. As a result, essential services continue to suffer. The review recommends the implementation of robust and participatory oversight mechanisms to foster a more enforceable and inclusive accountability model that supports improved governance and service delivery outcomes at the local level. This research provides insight into the persistent weaknesses of local government oversight systems and emphasizes the need for more effective accountability frameworks to achieve sustainable service delivery and governance in South Africa.

Machine efficiency and performance are crucial for attaining company objectives economically. High-tech industries, marked by substantial expenditures, can adapt to swift changes and consumer demands within their established operational parameters and available resources. Providing high-quality products at competitive prices has posed a problem for machine-driven manufacturing organisations. This study investigates the implementation of mechanisation to enhance quality in a chosen automobile assembly company in South Africa. The study employed a quantitative methodology to investigate the production and associated experiences of a chosen automotive assembly organisation that implemented a mechanised system for quality enhancement in its Deck Tailgate process within the welding facility. The Ordinary Least Squares (OLS) model was employed to analyse data using the Statistical Package for Social Sciences (SPSS). The corporation functions within the eThekwini Municipality in the KwaZulu-Natal region of South Africa. This research examines the influence of mechanisation on product quality, defect rates per unit, and operational downtime inside an automotive assembly firm in South Africa. Analysis of pre- and post-mechanisation quarterly data using OLS regression indicates that mechanisation substantially enhances product quality; however, no significant effects were seen regarding defects per unit and downtime. This study reveals the advantages and disadvantages of mechanisation inside this automotive assembly organisation in South Africa. 

In South Africa, only 6% of the population is expected to retire with financial independence, and the implementation of the Two-Pot retirement system in September 2024 exacerbates the retirement savings dilemma, underscoring an urgent necessity for creative retirement planning solutions. This article thoroughly delineates the present status of research into the utilisation of Robo-advisors in retirement planning. This analysis evaluates the appropriateness and feasibility of employing Robo-advisors to enhance and democratise digital financial advice within the context of a developing economy like South Africa, particularly through the adoption of the Two-Pot retirement scheme. A comprehensive literature analysis was conducted utilising the Emerald Insight, ProQuest, and Scopus databases to find peer-reviewed journal articles published between 2019 and 2024. These articles critically assessed the function of Robo-advisors in democratising financial advice, providing a cost-efficient, accessible, and perhaps less biassed alternative to conventional advising services. The study highlights the imperative for future research to guarantee the ethical, transparent, and controlled implementation of robo-advisory services in South Africa. The literature analysis delineates five pertinent study themes: emerging literature on Robo-advisors, behavioural dimensions, risk assessment, regulatory frameworks, and Robo-advisor characteristics pertinent to the South African retirement context, considering the Two-Pot retirement system.The report delineates potential research opportunities for each highlighted issue to aid scholars in performing empirical investigations aimed at optimising retirement planning in South Africa through the use of Robo-advisors.

This study conducts a thorough analysis of contemporary literature (2020–2025) regarding the impact of digital globalisation on educational inequality in South Africa's marginalised regions, focussing on the interrelated aspects of access, infrastructure, and pedagogy. This systematic literature review synthesises evidence from worldwide and South African contexts to demonstrate how enduring inequities in broadband access, affordability, and institutional capability hinder fair participation in digital learning. Rural provinces like Limpopo and Eastern Cape continue to be disproportionately impacted by inadequate connectivity, elevated data expenses, and insufficient teacher digital knowledge. The results reveal three primary themes: (1) physical and socio-economic obstacles to access, (2) infrastructural and institutional limitations, and (3) educational deficiencies stemming from culturally insensitive digital design. The paper presents a three-dimensional equity paradigm that integrates these domains to inform inclusive digital education policy. It advocates for infrastructure expansion, ongoing affordability initiatives, comprehensive digital literacy training, and legislative frameworks that incorporate equity criteria to guarantee that digital globalisation fosters change rather than exclusion within South Africa's educational system.

In South Africa, productivity is crucial for individual livelihoods and business performance.  A workplace that fosters employee engagement and participation is a means to cultivate an environment that attracts motivated teams for enhanced productivity.  This perspective supports the notion of employee engagement.  This study investigates the impact of employee engagement on enhancing labour productivity in South African automobile parts manufacturing firms.  Employee involvement denotes the degree of commitment and participation that employee exhibits towards their organisation. The study goals were fulfilled by analysing the production and associated experiences of the automobile parts manufacturing organisation that implemented an employee involvement strategy to enhance labour productivity.  The corporation functions within the eThekwini Municipality in the KwaZulu-Natal region of South Africa.  The study was conducted by gathering pre- and post-quarterly data on absenteeism, spoilage, and attained production targets.  Nevertheless, findings indicate that the employee participation ideology lacks the capacity to enhance labour productivity within the automobile parts manufacturing sector in South Africa.  There is no correlation between absenteeism and spoiling rates, nor with the production standards attained, in connection to labour productivity following the implementation of the employee involvement strategy. This study reveals the advantages and disadvantages of employee engagement on labour productivity within automobile parts manufacturing firms in South Africa. 

A transformative shift is imminent as generative artificial intelligence facilitates a synthetic and highly individualised approach to information creation and transmission. Technological breakthroughs and innovations necessitate the integration of technology across all facets of life, operations, and education to improve efficiency and effectiveness. Numerous institutions worldwide have adopted Generative AI (GenAI) as a revolutionary tool in educational dialogue, encompassing teaching, learning, student participation, and research. The study sought to assess digital innovations using GenAI, video platforms, and social media within the educational sphere. A mixed-methods design was employed including 225 participants. Research indicated that AI improves personalisation and engagement, while video and social media tools promote collaboration and digital literacy. GenAI can automate administrative functions, support multidisciplinary research, and enhance dynamic and interactive learning experiences. Artificial intelligence can automate and improve several processes, facilitating support for both learners and educators, from managing routine enquiries to optimising resource allocation via predictive analytics. Video educational platforms facilitate the creation of interactive and customised content. Social media may augment initiatives, cultivate digital literacy, and promote user-generated content. The research suggests that effective integration necessitates ethical AI knowledge and institutional capability.