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The influence of artificial intelligence on decision-making in deal selection in private equity

Mini Dissertation (MBA)--University of Pretoria, 2025.

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Other Authors: Balkissoon, Rishal
Format: Thesis
Language:English
Published: University of Pretoria 2026
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access_status_str Open Access
author2 Balkissoon, Rishal
author_browse Balkissoon, Rishal
author_facet Balkissoon, Rishal
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 (MBA)--University of Pretoria, 2025.
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institution University of Pretoria (South Africa)
language English
last_indexed 2026-06-10T12:40:13.972Z
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
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spelling oai:repository.up.ac.za:2263/109239 The influence of artificial intelligence on decision-making in deal selection in private equity Balkissoon, Rishal ichelp@gibs.co.za Mabuza, Mangwane UCTD Artificial intelligence Private equity Deal selection Decision making Informatiom processing theory Principal agent theory Mini Dissertation (MBA)--University of Pretoria, 2025. This study examines the integration and influence of artificial intelligence (AI) in deal selection processes within South African private equity (PE) and venture capital (VC) firms. Using theoretical frameworks including Information Processing Theory and Principal-Agent Theory, the research explores how AI enhances decision quality, speed, and uniformity while balancing human intuition and contextual judgment. Findings reveal that AI is primarily used as a supportive analytical tool, aiding in data synthesis, regulatory scanning, and due diligence rather than replacing human decision-making. Although AI has improved efficiency and transparency, challenges such as data scarcity, confidentiality concerns, regulatory limitations, and lack of local contextualization persist. Human discretion remains central, especially in evaluating qualitative factors such as founder integrity and cultural fit. The research emphasizes that AI’s current value lies in process improvement rather than financial outcomes. Responsible and context-aware adoption is essential, requiring robust governance frameworks, localized models, and ethical deployment. The study concludes that collaboration among regulators, firms, and industry bodies is vital to build a sustainable AI ecosystem in South Africa’s investment landscape. Gordon Institute of Business Science (GIBS) MBA Unrestricted Gordon Institute of Business Science (GIBS) SDG-09: Industry, innovation and infrastructure 2026-03-23T09:44:44Z 2026-03-23T09:44:44Z 2026-05-05 2025 Mini Dissertation * A2025 http://hdl.handle.net/2263/109239 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
Private equity
Deal selection
Decision making
Informatiom processing theory
Principal agent theory
The influence of artificial intelligence on decision-making in deal selection in private equity
title The influence of artificial intelligence on decision-making in deal selection in private equity
title_full The influence of artificial intelligence on decision-making in deal selection in private equity
title_fullStr The influence of artificial intelligence on decision-making in deal selection in private equity
title_full_unstemmed The influence of artificial intelligence on decision-making in deal selection in private equity
title_short The influence of artificial intelligence on decision-making in deal selection in private equity
title_sort influence of artificial intelligence on decision making in deal selection in private equity
topic UCTD
Artificial intelligence
Private equity
Deal selection
Decision making
Informatiom processing theory
Principal agent theory
url http://hdl.handle.net/2263/109239