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Assessing perceptions and feelings, and personal characteristics toward the adoption of AI systems

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

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Other Authors: Myres, Hugh
Format: Thesis
Language:English
Published: University of Pretoria 2026
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access_status_str Open Access
author2 Myres, Hugh
author_browse Myres, Hugh
author_facet Myres, Hugh
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)
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last_indexed 2026-06-10T12:38:08.659Z
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
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spelling oai:repository.up.ac.za:2263/108988 Assessing perceptions and feelings, and personal characteristics toward the adoption of AI systems Myres, Hugh ichelp@gibs.co.za Faurie, Dawid UCTD AI adoption Perceptions and feelings Personal characteristics Mini Dissertation (MBA)--University of Pretoria, 2025. This research project, titled “Assessing perceptions and feelings, and personal characteristics toward the adoption of AI systems”, aimed to determine which individual-level factors influence the adoption of artificial intelligence (AI) systems in organisational settings. This is critical, as 70% of AI projects failed to yield anticipated benefits, often due to a lack of employee adoption. The study focused on perception and feeling, including performance expectancy (PE), effort expectancy (EE) and perceived threat (PT), and then personal characteristics, comprising personal development concerns (PDC), personal innovativeness (PI) and self-efficacy (SE). Building on the Unified Theory of Acceptance and Use of Technology (UTAUT), Technology Threat Avoidance Theory (TTAT) and the Integrated AI Acceptance-Avoidance Model (IAAAM), the study extended the IAAAM framework by incorporating PI and SE. A quantitative, cross-sectional survey was conducted with 121 employed individuals, and data were analysed using Partial Least Squares Structural Equation Modelling (PLS-SEM). Findings indicated that PE had a strong, positive and significant effect on AI adoption (β = 0.593 and p = 0.000). Positive development beliefs (PDB), derived from PDC, also showed a moderate, positive and significant influence (β = 0.187 and p = 0.010). However, EE, PT, negative development concerns (NDC), PI and SE did not significantly influence adoption. The research concluded that PE is the most significant factor, suggesting that organisations should tailor their change management strategies to highlight how AI enhances employees’ job performance, efficiency and effectiveness to maximise adoption and achieve return on investment. Gordon Institute of Business Science (GIBS) MBA Unrestricted Gordon Institute of Business Science (GIBS) SDG-09: Industry, innovation and infrastructure 2026-03-16T09:28:35Z 2026-03-16T09:28:35Z 2026-05-05 2025 Mini Dissertation * A2025 http://hdl.handle.net/2263/108988 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
AI adoption
Perceptions and feelings
Personal characteristics
Assessing perceptions and feelings, and personal characteristics toward the adoption of AI systems
title Assessing perceptions and feelings, and personal characteristics toward the adoption of AI systems
title_full Assessing perceptions and feelings, and personal characteristics toward the adoption of AI systems
title_fullStr Assessing perceptions and feelings, and personal characteristics toward the adoption of AI systems
title_full_unstemmed Assessing perceptions and feelings, and personal characteristics toward the adoption of AI systems
title_short Assessing perceptions and feelings, and personal characteristics toward the adoption of AI systems
title_sort assessing perceptions and feelings and personal characteristics toward the adoption of ai systems
topic UCTD
AI adoption
Perceptions and feelings
Personal characteristics
url http://hdl.handle.net/2263/108988