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Mini Dissertation (MPhil (Corporate Strategy))--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_ | 1867613492871168000 |
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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 | © 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 (Corporate Strategy))--University of Pretoria, 2025. |
| format | Thesis |
| id | oai:repository.up.ac.za:2263/109223 |
| institution | University of Pretoria (South Africa) |
| language | English |
| last_indexed | 2026-06-10T12:37:01.063Z |
| 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:2263/109223 Influence of generative artificial intelligence on firm performance and mediating effect of dynamic capabilities van Eck, Danéel ichelp@gibs.co.za Masinge, Khumbula UCTD Generative artificial intelligence (GenAI) Dynamic capabilities Firm performance Resource-based view Knowledge-based view Dynamic capabilities view Mini Dissertation (MPhil (Corporate Strategy))--University of Pretoria, 2025. The growing diffusion of Generative Artificial Intelligence (GenAI) is reshaping how organisations create value, learn, and compete in the digital economy. Despite increasing interest in the strategic potential of AI, the limited availability of empirical evidence constrains the mechanisms by which GenAI influences firm performance. Guided by the Resource-Based View (RBV), Dynamic Capabilities View (DCV), and Knowledge-Based View (KBV), this study examined the impact of GenAI on firm performance with focus on the role of Dynamic Capabilities (DC) to mediate. A quantitative approach guided the research survey in collecting data from 146 organisational respondents across multiple sectors. The findings from the statistical methods applied with the inclusion of mediation, regression and correlation analyses, revealed the existence of a significant positive correlation between GenAI and firm performance, demonstrating its strategic value as a performance-enhancing resource. GenAI showed a significant relationship with DC, confirming that firms adopting GenAI develop superior capabilities to sense, seize and reconfigure. DC exerted a robust positive effect on firm performance. Mediation analysis confirmed that DC fully mediated the association between GenAI and firm performance, highlighting that the benefits of GenAI are realised primarily through capability enhancement. The study contributes on DCV and RBV by highlighting that the value of AI-enabled resources arises from their integration within dynamic, knowledge-based routines rather than only possession of resources. The conceptualising GenAI as a knowledge-generation and recombination mechanism that fuels organisational learning and innovation contributes to the KBV. Recommends alignment of AI investments with capability-building initiatives, prioritising organisational learning infrastructures, and cultivating adaptive leadership and ethical AI governance. Concludes that GenAI drives firm performance through developing Dynamic Capabilities, reinforcing that sustainable competitiveness in the digital era depends on organisational strategic renewal and reconfiguration. Gordon Institute of Business Science (GIBS) MPhil (Corporate Strategy) Unrestricted Gordon Institute of Business Science (GIBS) SDG-09: Industry, innovation and infrastructure 2026-03-23T09:42:58Z 2026-03-23T09:42:58Z 2026-05-05 2025 Mini Dissertation * A2025 http://hdl.handle.net/2263/109223 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 Generative artificial intelligence (GenAI) Dynamic capabilities Firm performance Resource-based view Knowledge-based view Dynamic capabilities view Influence of generative artificial intelligence on firm performance and mediating effect of dynamic capabilities |
| title | Influence of generative artificial intelligence on firm performance and mediating effect of dynamic capabilities |
| title_full | Influence of generative artificial intelligence on firm performance and mediating effect of dynamic capabilities |
| title_fullStr | Influence of generative artificial intelligence on firm performance and mediating effect of dynamic capabilities |
| title_full_unstemmed | Influence of generative artificial intelligence on firm performance and mediating effect of dynamic capabilities |
| title_short | Influence of generative artificial intelligence on firm performance and mediating effect of dynamic capabilities |
| title_sort | influence of generative artificial intelligence on firm performance and mediating effect of dynamic capabilities |
| topic | UCTD Generative artificial intelligence (GenAI) Dynamic capabilities Firm performance Resource-based view Knowledge-based view Dynamic capabilities view |
| url | http://hdl.handle.net/2263/109223 |