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Mini Dissertation (MPhil (International Business))--University of Pretoria, 2024.
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| Format: | Thesis |
| Language: | English |
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University of Pretoria
2025
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| _version_ | 1867613449812443136 |
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| access_status_str | Open Access |
| author2 | Van Eck, Danéel |
| author_browse | Van Eck, Danéel |
| author_facet | Van Eck, Danéel |
| collection | Thesis |
| dc_rights_str_mv | © 2023 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 (International Business))--University of Pretoria, 2024. |
| format | Thesis |
| id | oai:repository.up.ac.za:2263/101550 |
| institution | University of Pretoria (South Africa) |
| language | English |
| last_indexed | 2026-06-10T12:36:19.976Z |
| license_str | Other — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| 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:2263/101550 Exploring the personal adoption and use of generative artificial intelligence in work and decision-making by employees of multinational corporations : a technology acceptance model perspective Van Eck, Danéel ichelp@gibs.co.za Smith, Rachel UCTD Sustainable development goals (SDGs) Generative artificial intelligence (GenAI) Perceived usefulness Perceived ease of use Organisational culture Social dynamics Mini Dissertation (MPhil (International Business))--University of Pretoria, 2024. Multinational corporations (MNCs) are increasingly leveraging the use of artificial intelligence (AI) tools to enhance decision-making and create efficiencies. This study aims to explore how employees of MNCs are adopting and utilising generative AI in their work and decision-making. The researcher approaches the study from the perspective of the technology acceptance model (TAM) which provides a theoretical framework to explore the nuanced perceptions and experiences of the research participants, thus extending the model into the qualitative paradigm. The findings of the research reveal that generative AI is perceived as a valuable tool in enhancing work tasks and supporting decision-making. Participants reported significant benefits and gains. However, despite the opportunities it presents, wide-ranging challenges to the adoption of generative AI were identified, and strategies to address these challenges were presented by the participants. Organisational culture and social influences through colleagues and managers were also found to greatly influence adoption. Finally, professional identity of the employees utilising generative AI was explored and the need for robust governance and organisational use policies to protect human agency came under scrutiny. The researchers’ findings presented herein provide valuable insights for academia and business as they highlight the need for a supportive and enabling professional environment to foster the best conditions for adoption. The research concludes with the theoretical and practical implications, for both academia and business respectively, in integrating generative AI tools in MNCs, and recommends directions for future research. Gordon Institute of Business Science (GIBS) MPhil (International Business) Unrestricted Gordon Institute of Business Science (GIBS) SDG-08: Decent work and economic growth SDG-09: Industry, innovation and infrastructure 2025-03-18T08:35:53Z 2025-03-18T08:35:53Z 2025-05-05 2024-11 Mini Dissertation * A2025 http://hdl.handle.net/2263/101550 en © 2023 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 Sustainable development goals (SDGs) Generative artificial intelligence (GenAI) Perceived usefulness Perceived ease of use Organisational culture Social dynamics Exploring the personal adoption and use of generative artificial intelligence in work and decision-making by employees of multinational corporations : a technology acceptance model perspective |
| title | Exploring the personal adoption and use of generative artificial intelligence in work and decision-making by employees of multinational corporations : a technology acceptance model perspective |
| title_full | Exploring the personal adoption and use of generative artificial intelligence in work and decision-making by employees of multinational corporations : a technology acceptance model perspective |
| title_fullStr | Exploring the personal adoption and use of generative artificial intelligence in work and decision-making by employees of multinational corporations : a technology acceptance model perspective |
| title_full_unstemmed | Exploring the personal adoption and use of generative artificial intelligence in work and decision-making by employees of multinational corporations : a technology acceptance model perspective |
| title_short | Exploring the personal adoption and use of generative artificial intelligence in work and decision-making by employees of multinational corporations : a technology acceptance model perspective |
| title_sort | exploring the personal adoption and use of generative artificial intelligence in work and decision making by employees of multinational corporations a technology acceptance model perspective |
| topic | UCTD Sustainable development goals (SDGs) Generative artificial intelligence (GenAI) Perceived usefulness Perceived ease of use Organisational culture Social dynamics |
| url | http://hdl.handle.net/2263/101550 |