Drivers for successful digital transformation in advancing environmental sustainability in Gauteng's manufacturing industry

dc.contributor.advisorPelser, Theuns
dc.contributor.emailichelp@gibs.co.zaen_US
dc.contributor.postgraduateMoshoeshoe, Gwendoline Nyakallo
dc.date.accessioned2025-04-11T09:21:07Z
dc.date.available2025-04-11T09:21:07Z
dc.date.created2025-05-05
dc.date.issued2024-11
dc.descriptionMini Dissertation (MBA)--University of Pretoria, 2024.en_US
dc.description.abstractDigital technologies (DT) and AI are key drivers of Digital Transformation and have revolutionised how businesses operate, resulting in unprecedented progress in promoting sustainability. A critical gap in integrating environmental sustainability considerations within digital transformation (DTx) has been identified. A clear understanding of the relationship between these concepts, among key stakeholders is needed to make informed decisions regarding DTx investments. The manufacturing sector is at a critical juncture as concerns about environmental degradation intensify and sustainable practices become imperative. Studies in a different context found that DTx has the potential to transform traditional capital–intensive manufacturing assets to enhance environmental sustainability. Through an exploratory qualitative study, this research project aimed to identify key success drivers for DTx on environmental sustainability. In particular AI’s impact on greenhouse gas emission (GHG) reduction from the large manufacturing sector companies. This study uncovered eight key drivers for the successful integration of AI technologies for sustainability, defined along both internal and external drivers, and benefits, challenges and risks. The results indicate that while AI adoption is still in the early phase, the study found that the benefits are indirect. Findings confirmed that for a successful AI-driven DTx to advance manufacturing environmental sustainability practices, there are significant hurdles to overcome. The present study will be valuable to researchers, practitioners, and government and policymakers.en_US
dc.description.availabilityUnrestricteden_US
dc.description.degreeMBAen_US
dc.description.departmentGordon Institute of Business Science (GIBS)en_US
dc.description.facultyGordon Institute of Business Science (GIBS)en_US
dc.description.sdgSDG-09: Industry, innovation and infrastructureen_US
dc.description.sdgSDG-12:Responsible consumption and productionen_US
dc.identifier.citation*en_US
dc.identifier.otherA2025en_US
dc.identifier.urihttp://hdl.handle.net/2263/102027
dc.language.isoenen_US
dc.publisherUniversity of Pretoria
dc.rights© 2024 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria.
dc.subjectUCTDen_US
dc.subjectDigital transformationen_US
dc.subjectEnvironmental sustainabilityen_US
dc.subjectSustainable manufacturingen_US
dc.subjectIndustry 4.0en_US
dc.subjectArtificial intelligence (AI)en_US
dc.titleDrivers for successful digital transformation in advancing environmental sustainability in Gauteng's manufacturing industryen_US
dc.typeMini Dissertationen_US

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