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The nexus of Artificial Intelligence (AI) and indigenous knowledge systems (IKS) rarely features as a viable intervention in African food system policy and academic debates. This has created knowledge and practical gaps with policy and practice implications. This article argues that leveraging the AI-IKS nexus has significant potential to transform African food systems currently in crisis. This conceptual article explores the importance of IKS in Sub-Saharan Africa (SSA) and examines how AI solutions can transform regional food systems. The article shows that harnessing the AI-IKS nexus entails merging traditional, generational ecological wisdom with modern technology to enhance food security, sustainability, and resilience. Key applications include using AI to analyse indigenous drought-prediction techniques alongside meteorological data, identifying climate-resilient indigenous crops, and deploying Computer Vision and Natural Language Processing to digitise and disseminate traditional knowledge in local languages. The article argues that this synergy has the potential to enhance climate resilience, boost yields through precision agriculture, reduce post-harvest losses, and promote sustainable resource management, ultimately strengthening food security.

The global skills gap is the foremost obstacle to business transformation. Across sectors and regions, established forms of expertise are being reshaped or rendered insufficient, creating widespread uncertainty about the durability of existing skill sets. This condition, often described as skill instability, reflects a growing need for continual learning and adaptation as occupational demands evolve. This study employs a critical analysis of data from leading international organizations to map the distinct nature of this challenge across the world’s regions and industries. The study demonstrates that its nature differs fundamentally between regions and sectors. In advanced economies, the crisis is a shortage of specialized digital and green skills. In developing regions, the deficits are more foundational, rooted in basic digital literacy and technical-vocational training. Everywhere, however, a structural mismatch is worsening economies are creating complex new jobs faster than they are training workers for them, even as automation displaces lower-skilled roles. To navigate this dual challenge, we argue that technology, especially AI, must be seen as a tool to augment human potential. The solution is a decisive strategic pivot: from reactive hiring to proactive human capital development. This requires nuanced, region-specific policies and a foundational corporate commitment to lifelong learning to build a resilient and inclusive future workforce.

Climate change poses significant risks to rural livelihoods in semi-arid regions such as Bikita District, Zimbabwe, where recurrent droughts, erratic rainfall, rising temperatures, and water scarcity undermine food security and socio-economic stability. This study examines the climate-related risks faced by rural households, identifies the coping and adaptation strategies they employ, and assesses the effectiveness and sustainability of these responses. A qualitative case study design, guided by the Sustainable Livelihoods Framework, was adopted. Data were collected through in-depth interviews (n = 30), focus group discussions (two groups), and direct observations involving households, traditional leaders, and local stakeholders. Thematic analysis was used to identify patterns in risks, coping strategies, and institutional constraints. The findings show that households employ diverse strategies, including crop diversification, cultivation of drought-resistant small grains, water harvesting, livestock downsizing, livelihood diversification, horticulture, and reliance on social networks. However, many of these responses remain short-term coping mechanisms rather than sustainable adaptation strategies. Structural barriers, including limited access to credit, weak extension services, poor infrastructure, and inadequate market systems, constrain their effectiveness. In addition, some practices, including deforestation and over-reliance on food aid, are maladaptive, providing immediate relief while undermining long-term resilience. The study concludes that although rural households demonstrate significant adaptive capacity, their transition from short-term coping to sustainable adaptation is limited by systemic and institutional constraints. It highlights the need for integrated policy interventions that strengthen livelihood assets, enhance institutional support, improve access to finance and markets, and integrate indigenous knowledge with climate-smart practices. These findings contribute to climate adaptation scholarship and provide policy-relevant insights for building long-term resilience in rural Zimbabwe.

This study examined the effect of organisational culture on employees' readiness towards change at two Eswatini state-owned enterprises. Guided by a positive research philosophy, the study adopted a quantitative, cross-sectional research design. Daya was collected from a stratified sample of 543 permanent employees using the Organisational Culture Assessment Instrument (OCAI) and the Readiness Toward Change Scale (RTCS). Reliability was assessed by using Cronbach's alpha, while confirmatory factor analysis, correlation analysis, and multiple regression were employed to examine the relationship and predictive effects among the variables. The results revealed a positive and statistically significant relationship between organisational culture and readiness towards change. Market culture emerged as the strongest predictor of readiness towards change, followed by hierarchical culture, Adhocracy culture, and clan culture. These findings suggest that performance orientation, structural clarity, adaptability, and relational cohesion jointly contribute to enhancing employee readiness for organisational change. From the business ecosystem and strategic management perspective, the findings highlight the importance of cultivating an adaptive organisational culture as a key enabler of sustainable performance, ethical governance, and stakeholder trust. At a broader socio-economic level, strengthening organisational culture and employee readiness for change within state-owned enterprises can enhance productivity, promote social equity, and support inclusive growth, reinforcing Eswatini's business and socio-economic ecosystem.

This article examines the role of trade unions in shaping social development policy in post-apartheid South Africa, using the Congress of South African Trade Unions (COSATU) and the National Health Insurance (NHI) policy formulation process as an illustrative case. Employing a qualitative single-case design, the study draws on semi-structured interviews with twelve (12) purposively selected key informants, complemented by documentary analysis of submissions and position papers, and thematic analysis informed by the Interest Group Theory (IGT). Findings show that COSATU continues to exercise meaningful influence through institutional access (notably NEDLAC), research partnerships, and grassroots mobilisation. However, influence is conditional: internal capacity constraints, organisational fragmentation, and external power asymmetries within the policymaking environment all limit the union’s impact. The study argues that trade unions remain necessary actors in the formulation of equitable social development policies, but to exert more substantive influence, they must invest in technical capacity, rebuild internal coherence, and strengthen strategic alliances across civil society. Lessons from the COSATU–NHI case contribute to broader debates on participatory governance, interest group politics, and the evolving nature of organised labour in developing democracies.

The nexus of Artificial Intelligence (AI) and indigenous knowledge systems (IKS) rarely features as a viable intervention in African food system policy and academic debates. This has created knowledge and practical gaps with policy and practice implications. This article argues that leveraging the AI-IKS nexus has significant potential to transform African food systems currently in crisis. This conceptual article explores the importance of IKS in Sub-Saharan Africa (SSA) and examines how AI solutions can transform regional food systems. The article shows that harnessing the AI-IKS nexus entails merging traditional, generational ecological wisdom with modern technology to enhance food security, sustainability, and resilience. Key applications include using AI to analyse indigenous drought-prediction techniques alongside meteorological data, identifying climate-resilient indigenous crops, and deploying Computer Vision and Natural Language Processing to digitise and disseminate traditional knowledge in local languages. The article argues that this synergy has the potential to enhance climate resilience, boost yields through precision agriculture, reduce post-harvest losses, and promote sustainable resource management, ultimately strengthening food security.

The global skills gap is the foremost obstacle to business transformation. Across sectors and regions, established forms of expertise are being reshaped or rendered insufficient, creating widespread uncertainty about the durability of existing skill sets. This condition, often described as skill instability, reflects a growing need for continual learning and adaptation as occupational demands evolve. This study employs a critical analysis of data from leading international organizations to map the distinct nature of this challenge across the world’s regions and industries. The study demonstrates that its nature differs fundamentally between regions and sectors. In advanced economies, the crisis is a shortage of specialized digital and green skills. In developing regions, the deficits are more foundational, rooted in basic digital literacy and technical-vocational training. Everywhere, however, a structural mismatch is worsening economies are creating complex new jobs faster than they are training workers for them, even as automation displaces lower-skilled roles. To navigate this dual challenge, we argue that technology, especially AI, must be seen as a tool to augment human potential. The solution is a decisive strategic pivot: from reactive hiring to proactive human capital development. This requires nuanced, region-specific policies and a foundational corporate commitment to lifelong learning to build a resilient and inclusive future workforce.

Climate change poses significant risks to rural livelihoods in semi-arid regions such as Bikita District, Zimbabwe, where recurrent droughts, erratic rainfall, rising temperatures, and water scarcity undermine food security and socio-economic stability. This study examines the climate-related risks faced by rural households, identifies the coping and adaptation strategies they employ, and assesses the effectiveness and sustainability of these responses. A qualitative case study design, guided by the Sustainable Livelihoods Framework, was adopted. Data were collected through in-depth interviews (n = 30), focus group discussions (two groups), and direct observations involving households, traditional leaders, and local stakeholders. Thematic analysis was used to identify patterns in risks, coping strategies, and institutional constraints. The findings show that households employ diverse strategies, including crop diversification, cultivation of drought-resistant small grains, water harvesting, livestock downsizing, livelihood diversification, horticulture, and reliance on social networks. However, many of these responses remain short-term coping mechanisms rather than sustainable adaptation strategies. Structural barriers, including limited access to credit, weak extension services, poor infrastructure, and inadequate market systems, constrain their effectiveness. In addition, some practices, including deforestation and over-reliance on food aid, are maladaptive, providing immediate relief while undermining long-term resilience. The study concludes that although rural households demonstrate significant adaptive capacity, their transition from short-term coping to sustainable adaptation is limited by systemic and institutional constraints. It highlights the need for integrated policy interventions that strengthen livelihood assets, enhance institutional support, improve access to finance and markets, and integrate indigenous knowledge with climate-smart practices. These findings contribute to climate adaptation scholarship and provide policy-relevant insights for building long-term resilience in rural Zimbabwe.

This study examined the effect of organisational culture on employees' readiness towards change at two Eswatini state-owned enterprises. Guided by a positive research philosophy, the study adopted a quantitative, cross-sectional research design. Daya was collected from a stratified sample of 543 permanent employees using the Organisational Culture Assessment Instrument (OCAI) and the Readiness Toward Change Scale (RTCS). Reliability was assessed by using Cronbach's alpha, while confirmatory factor analysis, correlation analysis, and multiple regression were employed to examine the relationship and predictive effects among the variables. The results revealed a positive and statistically significant relationship between organisational culture and readiness towards change. Market culture emerged as the strongest predictor of readiness towards change, followed by hierarchical culture, Adhocracy culture, and clan culture. These findings suggest that performance orientation, structural clarity, adaptability, and relational cohesion jointly contribute to enhancing employee readiness for organisational change. From the business ecosystem and strategic management perspective, the findings highlight the importance of cultivating an adaptive organisational culture as a key enabler of sustainable performance, ethical governance, and stakeholder trust. At a broader socio-economic level, strengthening organisational culture and employee readiness for change within state-owned enterprises can enhance productivity, promote social equity, and support inclusive growth, reinforcing Eswatini's business and socio-economic ecosystem.

This article examines the role of trade unions in shaping social development policy in post-apartheid South Africa, using the Congress of South African Trade Unions (COSATU) and the National Health Insurance (NHI) policy formulation process as an illustrative case. Employing a qualitative single-case design, the study draws on semi-structured interviews with twelve (12) purposively selected key informants, complemented by documentary analysis of submissions and position papers, and thematic analysis informed by the Interest Group Theory (IGT). Findings show that COSATU continues to exercise meaningful influence through institutional access (notably NEDLAC), research partnerships, and grassroots mobilisation. However, influence is conditional: internal capacity constraints, organisational fragmentation, and external power asymmetries within the policymaking environment all limit the union’s impact. The study argues that trade unions remain necessary actors in the formulation of equitable social development policies, but to exert more substantive influence, they must invest in technical capacity, rebuild internal coherence, and strengthen strategic alliances across civil society. Lessons from the COSATU–NHI case contribute to broader debates on participatory governance, interest group politics, and the evolving nature of organised labour in developing democracies.