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Exploring responsible AI Integration in management education: A case study of Southern African Universities
The integration of responsible Artificial Intelligence (AI) in higher education has emerged as a transformative yet complex process, particularly in the Global South. This study investigates the challenges and opportunities associated with responsible AI adoption in management education within selected Southern African state universities. Despite growing interest in AI-enhanced learning, these institutions face structural and institutional barriers that hinder ethical and effective integration. Guided by Institutional Theory, this research employs a qualitative multiple case study design to derive insights from 30 purposively selected participants, including academic staff, policymakers, and ICT administrators, across various public universities in Zimbabwe and South Africa. Data were collected through in-depth interviews and focus group discussions and analysed using thematic analysis. Findings reveal four major challenges: infrastructural deficits, low digital literacy, institutional resistance, and the absence of AI-specific education policies. Nonetheless, participants identified promising opportunities in curriculum innovation, faculty development, and regional collaboration. The study extends Institutional Theory by demonstrating how organisational norms and cultural inertia influence AI adoption in under-resourced educational contexts. Practically, it offers policy-level and institutional recommendations for ethical AI deployment, including the need for national frameworks, digital infrastructure investment, and structured AI training programmes. This research contributes to the growing discourse on ethical AI in African education by highlighting both systemic constraints and pathways for transformative change in management education
The nature of stakeholder collaboration in innovation in cultural heritage tourism
Cultural heritage tourism is a vital sector that fosters cultural preservation, economic development, and intercultural exchange. However, the industry faces significant challenges, including sustainability, authenticity, and visitor engagement, necessitating innovative approaches to remain competitive. This paper explores the nature of stakeholder collaboration in driving innovation within cultural heritage tourism, with a specific focus on Zimbabwe. Drawing on theoretical frameworks such as Stakeholder Theory, Collaboration Theory, Innovation Theory, Sustainable Tourism Theory, and Institutional Theory, the study highlights how multi-stakeholder engagement can enhance site management, visitor experiences, and sustainable development. Through a systematic literature review of 100 peer-reviewed journals published between 2000 and 2025, the paper identifies key stakeholders, including local communities, government agencies, private sector players, and international organizations, and examines their roles in fostering innovation. The review prioritized studies focusing on cultural heritage tourism, stakeholder collaboration, and innovation. The findings of this paper illuminate the transformative potential of digital technologies, such as virtual reality (VR) and augmented reality (AR), in overcoming infrastructural deficits and enhancing visitor engagement. It also underscore the importance of public-private partnerships (PPPs) and inclusive policy frameworks in mobilizing resources and ensuring equitable benefits for local communities
Linear Regression in the Spotlight: From Statistical Staple to Misused Tool
This article explores the application, assumptions, and frequent misuses of linear regression analysis in research, particularly within the business, social sciences and medical fields. While linear regression remains one of the most widely used and accessible statistical tools due to its simplicity and interpretability, it is often misapplied, especially when researchers overlook the foundational assumptions required for valid inferences. The paper reviews the key assumptions of linearity, normality, homoscedasticity, and independence of errors, and discusses the appropriate use of linear regression in descriptive, predictive, and causal research. Through a critical review of published studies and an empirical analysis of customer satisfaction data from Kaggle, the article identifies common violations, including the inappropriate modelling of discrete and ordinal dependent variables, unjustified covariate adjustments, and misinterpretation of regression coefficients. Residual plots and diagnostic tests further reveal that linear regression is frequently applied where it is not suitable, leading to misleading conclusions. The study concludes with practical recommendations to improve statistical literacy and rigor among researchers, emphasizing the importance of involving statisticians and aligning statistical instruction with domain-specific research contexts
Exploring the potential of sweet sorghum (Sorghum bicolor (L.) Moench) grain meal as a supplement for diabetic patients in African diets
In the context of Africa's rich cultural and traditional practices in healthcare, this study explored the potential of sweet sorghum (Sorghum bicolor (L.) Moench) grain meal as a supplement for managing diabetes within African diets. Diabetes poses a significant health challenge in Africa, prompting the search for appropriate dietary interventions. Sweet sorghum, a versatile traditional African crop, possesses unique nutritional and phytochemical properties that may offer benefits for diabetes management. Through a thorough literature review of reputable sources, including PubMed, Science Direct, Google Scholar, and NCBI, this study examined sweet sorghum's glycemic index, impact on blood sugar levels, and influence of its high fibre content on blood sugar control and metabolism within the African diet context. Additionally, this study assessed the cultural acceptability and feasibility of incorporating sweet sorghum grain meal into conventional African recipes, considering its culinary adaptability and potential to enhance regional dietary customs. The findings of this study highlight the promising potential of sweet sorghum grain meal as a dietary supplement for managing diabetes within African diets, emphasizing its unique nutritional and phytochemical properties. Despite its promising attributes, challenges such as limited availability, processing, and preparation techniques were identified. By integrating existing evidence and considering the specifics of the African diet, this research elucidates the potential advantages of sweet sorghum grain meal as a dietary supplement in the fight against diabetes in Africa. This finding underscores the importance of evidence-based dietary recommendations and long-term diabetes management strategies tailored to African communities' cultural and nutritional contexts. This study recommends further research, community engagement, and legislative support to promote the adoption of sweet sorghum grain meal as a dietary supplement for managing diabetes in Africa, emphasizing the importance of evidence-based dietary recommendations tailored to African communities' cultural and nutritional contexts
Editorial Note: Journal of Technological Sciences
It is my pleasure to welcome you to the first issue of the Journal of Technological Sciences for 2025. The journal continues to stick to its technological inclination. This issue covers four main domains, namely engineering sciences, mathematics and modelling, animal health and food security. The articles cover a balance between original research and reviewed work and bring to the fore exciting recent findings in the four scientific domains
The Journal of Cultural Heritage and Development : Volume 1, Issue 1 Culture, Heritage, and Development: Forging Pathways to a Shared Future
Evaluating implementation of financial audit recommendations on performance of local authorities in Zimbabwe.
The research aims to establish the relationship between the implementation of audit recommendations and the performance of local authorities. The study is guided by audit theories which generally emphasize the need to implement audit recommendations to improve the performance results of local authorities. The research used pragmatism philosophy which uses a mixed research choice. 238 Closed ended structured Likert scale questionnaires were administered and 11 interviews were conducted until saturation was reached. The structural equation model was used as the analysis method for quantitative data to extract both factors unobserved or latent variables and also tests direct and indirect effects. The qualitative data in this study was analysed by using the thematic analysis method because it provides in-depth insights and contextual understanding of the research topic. The research findings showed that implementation of audit recommendations positively impacts performance by improving service delivery. Furthermore, the research adds to the current body of knowledge by highlighting factors that affect implementation of audit recommendations named as local authorities’ committees’ skills composition, local authorities’ committees’ diversity, staff competence, staff attitude. While this research focused on the local authorities, further research can investigate the current trends regarding the implementation of audit recommendations in the central government in Zimbabwe
Editorial Note
Welcome to the inaugural Volume 1 (Issue 1) of the JMSIT. The Journal is born out of the desire to publish original manuscripts in various areas that are in line with advancing development along the lines of Strategic Development Goals (SDGs), African Union Agenda 2063, the Zimbabwean Vision 2030, among other international and national strategic intents and targets. This issue focused covered a variety of topics, inter alia: management, marketing, supply chain, human resources management, international business, knowledge management, technology, strategic decision making, corporate governance, entrepreneurship, innovation, hospitality management, tourism management, information system and artificial intelligence
Computerized accounting systems adoption in Zimbabwean small shops: impacts and challenges in Masvingo Urban
In this digital era, business operations are being transformed by various technologies including Big Data. Big Data, known for voluminous data, in various formats and shared at high velocity has revolutionized business operations. This real time technological advancement has necessitated the adoption of Computerized Accounting Systems (CAS) among small shops that are key economic players that seek to remain competitive in Zimbabwe. This research paper seeks to explore on the impact of computerized accounting systems (CAS) adoption on the economic performance of small-holder shops in Zimbabwe. The research employs a mixed-methods approach that includes the quantitative analysis of survey data from a sample of small shops and qualitative insights from semi-structured interviews with accounting professionals and shop owners. The research sought to explore the relationship between CAS adoption, efficiency gains, cost reduction, improved financial reporting, and overall business profitability. The study intended to discover the extent to which CAS implementation contributes to the enhanced financial management practices, streamlined operations, and informed decision-making in a challenging economic environment characterized by hyperinflation in Zimbabwe. Research findings revealed a significant positive correlation between CAS adoption and improved business economic performance, particularly in areas such as reduced operational costs, enhanced data accuracy, and real-time financial reporting. However, the study also highlighted challenges related to CAS implementation costs, staff training, and system integration issues, which may obstruct the full realization of CAS benefits. The research recommends shop owners and policymakers to optimize CAS implementation and maximize its contribution to sustainable economic growth in Zimbabwe
The moderating effect of financial leakages on the relationship between Capital Expenditure (CAPEX) and economic growth in Zimbabwe
This paper assesses the moderating effect of financial leakages (corruption) on the relationship between capital expenditure (CAPEX) and economic growth. Corruption is an exogenous factor with negative effects on the efficiency and effectiveness of CAPEX use in the public sector. This paper empirically examines the moderating effect of corruption on the relationship between CAPEX and economic growth. Autoregressive distributed lag model was used to determine the moderating effect as the model tests both shot run and long run effects. The model also accepts regression of variables co-integrated at different levels. The results show that CAPEX has positive effects on economic growth. However, corruption is cancerous on the allocation and use of the CAPEX, both in the short and long run. Financial leakages were found to have a negative moderating effect on the relationship between CAPEX and economic growth both in the short and long term. The moderation is stronger in the long term as compared to the short term. Government should tackle financial leakages (corruption) head on to reduce financial haemorrhage in Zimbabwe’s infrastructure projects