The Contextually Extended A I G H R M Theoretical Framework for Sub-Saharan Africa integrates Digital Transformation, the A M O Model, Institutional Theory, Dynamic Capabilities and Decolonial A I. Layer 1, A I and Digital Transformation Enablers, contains four components. Big Data Analytics covers evidence-based H R decisions and workforce intelligence. Cloud Computing covers scalable H R infrastructure and cost-effective data storage. A I-Driven Platforms cover N L P, M L, predictive models and algorithmic decision-making. Mobile and I o T Tools cover leapfrog infrastructure gaps and real-time monitoring. Downward arrows connect this layer to Layer 2, Extended A M O Model, cited to Appelbaum et al., 2000, and Ren et al., 2021. A, Ability, contains green knowledge and skills, A I-personalised training, Mobile L M S and gamification, and green competency development. M, Motivation, contains green incentives and values, real-time environmental dashboards, A I-driven reward systems, and green motivational salience. O, Opportunity, contains participation channels, digital collaboration tools, A I idea-management systems, and green employee empowerment. Downward arrows from Ability, Motivation and Opportunity enter the dashed Contextual Moderator Boundary for Sub-Saharan Africa, identified as Threshold Conditions. Within this boundary, the central G H R M Practices comprise four components. Green Recruitment and Selection includes A I screening, environmental value alignment and virtual interviewing. Green Training and Development includes Mobile L M S, gamification and A I-adaptive learning. A I Green Performance Monitoring includes real-time K P I dashboards and continuous feedback loops. Resource Optimisation includes energy management, paperless H R and smart building integration. Three contextual conditions appear to the left. Digital Infrastructure comprises connectivity, power and cloud access. Digital Skills Gap comprises H R A I literacy and data analytics capacity. Institutional Voids comprise weak regulation and limited governance. Three conditions appear to the right. Algorithmic Bias comprises equity and fairness risk and global North bias. Data Governance comprises privacy, accountability and data protection law. Digital Ecosystem Maturity is identified as the 4th Institutional Pillar. A downward arrow from Resource Optimisation leads to Layer 4, Organisational Sustainability Outcomes, which contains four components. Environmental Performance covers carbon reduction, K P I and environmental footprint reduction. Green O C B E Citizenship Behaviour covers pro-environmental behaviour and green commitment. S D G Alignment Agenda 2063 covers U N S D Gs and regional sustainability goals. Institutional Legitimacy covers social licence to operate and stakeholder trust. Layer 5, Critical and Decolonial Cross-Cutting Layer, cited to Birhane, 2021, and Mohamed et al., 2020, is enclosed within a dashed boundary and contains three components. Decolonial A I Theory covers epistemic justice, participatory design and South-South co-creation, with Birhane, 2021, and Mohamed et al., 2020, cited beneath it. The 4th Institutional Pillar covers digital ecosystem maturity, extends DiMaggio and Powell, 1983, and includes broadband, cloud and A I skills, with Institutional Theory extension stated beneath it. A M O Threshold Conditions specify boundary conditions for A I G H R M efficacy in S S A, infrastructure and capability, and an Extended A M O framework. The Theoretical Foundations section at the bottom contains five groups. A M O Model cites Appelbaum et al., 2000, and Ren et al., 2021. Institutional Theory cites DiMaggio and Powell, 1983, and states 4th pillar: this study. N R B V and Dynamic Capabilities cites Hart, 1995, and Teece et al., 1997. G H R M cites Renwick et al., 2013, and Tang et al., 2018. Decolonial A I cites Birhane, 2021, and Mohamed et al., 2020. A note states that dashed borders denote contextual boundary conditions that function as threshold moderators of inter-layer relationships in S S A. The abbreviation note defines O C B E as organisational citizenship behaviour environment, S D Gs as Sustainable Development Goals and S S A as Sub-Saharan Africa.Contextually extended AI-GHRM theoretical framework for Sub-Saharan Africa
Sharing content requires targeting cookies to be enabled. Please update your cookie preferences to use this feature.