Digital transformation, associated with the Fourth Industrial Revolution (4IR), is reshaping planning paradigms across Africa, signaling a departure from traditional housing delivery mechanisms toward digitally enabled and data-driven systems. This transition has prompted intensified scholarly interest in how automation, artificial intelligence, geospatial intelligence, and digital land administration may alter housing access, production models, and governance relations. However, the pace of technological innovation far exceeds the evolution of social development systems, creating a tension between digital optimisation and social equity. This research is motivated by the growing disparity between technological capabilities and socially inclusive housing outcomes. While 4IR demonstrates potential to enhance transparency, streamline land-use planning, strengthen tenure security, and support participatory decision-making, the absence of rights-based frameworks risks reproducing existing socio-spatial inequalities within digital infrastructures. The study aims to interrogate how 4IR technologies can be leveraged to advance, not undermine, socially just housing outcomes in African cities. A combined bibliometric analysis and qualitative systematic review was employed to map patterns, identify conceptual gaps, and analyse governance and implementation dynamics through cases in South Africa due to the no-representation of other African countries. The findings reveal three distinct trends: increasing technological experimentation without adequate regulation, insufficient institutional capacity to manage digital transformation, and growing potential for tech-driven co-creation of housing solutions. The research proposes a Digital Social Innovation Housing Framework centred on ethical governance, community empowerment, and institutional readiness.
Building similarity graph...
Analyzing shared references across papers
Loading...
Mhlalisi Gavu Mndzebele
Trynos Gumbo
Wisdom Dlamini
Building similarity graph...
Analyzing shared references across papers
Loading...
Mndzebele et al. (Thu,) studied this question.
www.synapsesocial.com/papers/69e7143fcb99343efc98da06 — DOI: https://doi.org/10.48494/realcorp2026.2188