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A Structured literature review on AI-driven operations: exploring disruption, human value, and implementation challenges
Mini Dissertation (MPhil (Evidence-Based Management))--University of Pretoria, 2025
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| Format: | Thesis |
| Language: | English |
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University of Pretoria
2026
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| _version_ | 1867613614173585408 |
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| access_status_str | Open Access |
| author2 | Alexander, Kelly |
| author_browse | Alexander, Kelly |
| author_facet | Alexander, Kelly |
| collection | Thesis |
| dc_rights_str_mv | © 2025 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. |
| description | Mini Dissertation (MPhil (Evidence-Based Management))--University of Pretoria, 2025 |
| format | Thesis |
| id | oai:repository.up.ac.za:2263/109652 |
| institution | University of Pretoria (South Africa) |
| language | English |
| last_indexed | 2026-06-10T12:38:56.612Z |
| license_str | Other — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository |
| publishDate | 2026 |
| publishDateRange | 2026 |
| publishDateSort | 2026 |
| publisher | University of Pretoria |
| publisherStr | University of Pretoria |
| record_format | dspace |
| source_str | UPSpace — University of Pretoria Institutional Repository |
| spelling | oai:repository.up.ac.za:2263/109652 A Structured literature review on AI-driven operations: exploring disruption, human value, and implementation challenges Alexander, Kelly ichelp@gibs.co.za Mamabolo, Anastacia Ntshalintshali, Mandisa UCTD Artificial Intelligence Operations management AI implementation Human-AI collaboration Mini Dissertation (MPhil (Evidence-Based Management))--University of Pretoria, 2025 This structured literature review explores how artificial intelligence (AI) is reshaping operations management through three interconnected lenses: disruption of traditional operational models, evolving forms of human participation, and the persistent gap between strategic intent and implementation. Drawing on 58 peer-reviewed studies across multiple sectors, the review identifies how AI reconfigures decision-making structures, challenges established routines, and introduces new organisational tensions. It highlights that effective AI integration depends not only on technological readiness but also on trust, governance, contextual alignment, and human capability. The review contributes a nuanced understanding of AI-driven operations and responds to recent calls for operations management scholarship to engage more deeply with the complexities of AI implementation. It concludes by proposing future research directions focused on human-AI collaboration, context-sensitive deployment strategies, and the development of governance models that balance performance, accountability, and adaptability. Gordon Institute of Business Science (GIBS) MPhil (Evidence-Based Management) Unrestricted Gordon Institute of Business Science (GIBS) SDG-09: Industry, innovation and infrastructure 2026-04-21T08:46:17Z 2026-04-21T08:46:17Z 2026-05-05 2025 Mini Dissertation * A2025 http://hdl.handle.net/2263/109652 en © 2025 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. application/pdf University of Pretoria |
| spellingShingle | UCTD Artificial Intelligence Operations management AI implementation Human-AI collaboration A Structured literature review on AI-driven operations: exploring disruption, human value, and implementation challenges |
| title | A Structured literature review on AI-driven operations: exploring disruption, human value, and implementation challenges |
| title_full | A Structured literature review on AI-driven operations: exploring disruption, human value, and implementation challenges |
| title_fullStr | A Structured literature review on AI-driven operations: exploring disruption, human value, and implementation challenges |
| title_full_unstemmed | A Structured literature review on AI-driven operations: exploring disruption, human value, and implementation challenges |
| title_short | A Structured literature review on AI-driven operations: exploring disruption, human value, and implementation challenges |
| title_sort | structured literature review on ai driven operations exploring disruption human value and implementation challenges |
| topic | UCTD Artificial Intelligence Operations management AI implementation Human-AI collaboration |
| url | http://hdl.handle.net/2263/109652 |