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An assessment of the adoption of artificial intelligence (AI) in the South African construction industry

dc.contributor.advisorPretorius, P.J
dc.contributor.authorLumisi, Moleli
dc.date.accessioned2025-07-29T13:23:35Z
dc.date.available2025-07-29T13:23:35Z
dc.date.issued2024
dc.descriptionMaster of Business Administration, North-West University, Vanderbijlpark Campusen_US
dc.description.abstractThis research aims to assess the adoption of artificial intelligence (AI) in the South African construction industry. AI can revolutionise various sectors, including construction, by improving efficiency, productivity, and decision-making processes. However, the adoption of AI in the construction industry is still in its early stages, and its potential impact in the South African context remains largely unexplored. The research methodology involves a comprehensive literature review to understand the current state of AI adoption in the global construction industry and identify potential barriers and challenges specific to the South African context. Additionally, primary data will be collected through surveys using questionnaires with critical stakeholders in the South African construction industry, including contractors, engineers, and project managers who are members of the Civil and Built Environment (CBE) bodies. The research aimed to identify the extent of AI adoption in the South African construction industry, assess the benefits and challenges faced by industry players, and explore the factors influencing the adoption process. The findings provide valuable insights into the current landscape of AI adoption and inform strategies to facilitate its successful implementation in the South African construction industry. The expected outcomes of this research include a comprehensive understanding of the current state of AI adoption in the South African construction industry, identification of barriers and challenges, and recommendations for industry players and policymakers to promote the effective integration of AI technologies. The research findings will contribute to the existing knowledge on AI adoption in the construction industry and provide a basis for future research and practical applications in South Africa.en_US
dc.description.thesistypeMastersen_US
dc.identifier.urihttps://orcid.org/0000-0003-3064-3624
dc.identifier.urihttp://hdl.handle.net/10394/42641
dc.language.isoenen_US
dc.publisherNorth-West University (South Africa)en_US
dc.subjectArtificial intelligenceen_US
dc.subjectProductivityen_US
dc.subjectEconomics employmenten_US
dc.subjectConstructionen_US
dc.subjectSustainabilityen_US
dc.subjectSafetyen_US
dc.subjectSecurityen_US
dc.subjectCosten_US
dc.subjectPolicyen_US
dc.titleAn assessment of the adoption of artificial intelligence (AI) in the South African construction industryen_US
dc.typeThesisen_US

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