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Artificial Intelligence Affordances for Organisational Change: Perspectives from South African Artificial Intelligence Practitioners

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Artificial intelligence (AI) technologies have been in use for several decades, but have seen substantial growth and commercialisation in the last decade, largely due to the available and growing ubiquitous access to more affordable computing resources. While some organisations have adopted these te...

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Main Author: Achmat, Luqman
Other Authors: Brown, Irwin
Format: Thesis
Language:English
Published: Department of Information Systems 2024
Subjects:
Information System
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access_status_str Open Access
author Achmat, Luqman
author2 Brown, Irwin
author_browse Achmat, Luqman
Brown, Irwin
author_facet Brown, Irwin
Achmat, Luqman
author_sort Achmat, Luqman
collection Thesis
description Artificial intelligence (AI) technologies have been in use for several decades, but have seen substantial growth and commercialisation in the last decade, largely due to the available and growing ubiquitous access to more affordable computing resources. While some organisations have adopted these technologies fairly quickly, others grapple with understanding how these technologies would strategically benefit the organisation. The purpose of this research is to address this gap by theorising how AI could be positioned to influence strategic organisational change. It does so by delineating the AI features and drawing on affordance theory to explicitly identify the affordances, the types of organisational change and the constraining conditions under which such AI-related affordances may influence organisational change. This qualitative study adopts an interpretive epistemology, while lending itself towards a constructivist ontology. By adopting a qualitative interview strategy for data collection, and a thematic analysis to analyse the data, this study abductively theorises how AI affords organisational change from the perspective of the AI practitioner. It uses the Trajectory of Affordances as the underpinning lens to explore this phenomenon. Eight key affordances are identified: (i) Analysing risk, (ii) analysing needs, (iii) forecasting, (iv) assessing efficiency and effectiveness, (v) providing prediction criteria, (vi) translating information, (vii) tailoring information, and (viii) improving predictability as an affordance that results from an outcome or organisational change influenced by one or more of the other affordances.
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id oai:open.uct.ac.za:11427/39269
institution University of Cape Town (South Africa)
language eng
last_indexed 2026-06-10T12:32:05.102Z
license_str Not specified — see source repository
provenance_str_mv Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository
publishDate 2024
publishDateRange 2024
publishDateSort 2024
publisher Department of Information Systems
publisherStr Department of Information Systems
record_format dspace
source_str UCTD — University of Cape Town Open Access Repository
spelling oai:open.uct.ac.za:11427/39269 Artificial Intelligence Affordances for Organisational Change: Perspectives from South African Artificial Intelligence Practitioners Achmat, Luqman Brown, Irwin Information System Artificial intelligence (AI) technologies have been in use for several decades, but have seen substantial growth and commercialisation in the last decade, largely due to the available and growing ubiquitous access to more affordable computing resources. While some organisations have adopted these technologies fairly quickly, others grapple with understanding how these technologies would strategically benefit the organisation. The purpose of this research is to address this gap by theorising how AI could be positioned to influence strategic organisational change. It does so by delineating the AI features and drawing on affordance theory to explicitly identify the affordances, the types of organisational change and the constraining conditions under which such AI-related affordances may influence organisational change. This qualitative study adopts an interpretive epistemology, while lending itself towards a constructivist ontology. By adopting a qualitative interview strategy for data collection, and a thematic analysis to analyse the data, this study abductively theorises how AI affords organisational change from the perspective of the AI practitioner. It uses the Trajectory of Affordances as the underpinning lens to explore this phenomenon. Eight key affordances are identified: (i) Analysing risk, (ii) analysing needs, (iii) forecasting, (iv) assessing efficiency and effectiveness, (v) providing prediction criteria, (vi) translating information, (vii) tailoring information, and (viii) improving predictability as an affordance that results from an outcome or organisational change influenced by one or more of the other affordances. 2024-03-28T09:38:09Z 2024-03-28T09:38:09Z 2023 2024-03-28T08:21:19Z Thesis / Dissertation Masters MCom http://hdl.handle.net/11427/39269 eng application/pdf Department of Information Systems Faculty of Commerce
spellingShingle Information System
Achmat, Luqman
Artificial Intelligence Affordances for Organisational Change: Perspectives from South African Artificial Intelligence Practitioners
thesis_degree_str Master's
title Artificial Intelligence Affordances for Organisational Change: Perspectives from South African Artificial Intelligence Practitioners
title_full Artificial Intelligence Affordances for Organisational Change: Perspectives from South African Artificial Intelligence Practitioners
title_fullStr Artificial Intelligence Affordances for Organisational Change: Perspectives from South African Artificial Intelligence Practitioners
title_full_unstemmed Artificial Intelligence Affordances for Organisational Change: Perspectives from South African Artificial Intelligence Practitioners
title_short Artificial Intelligence Affordances for Organisational Change: Perspectives from South African Artificial Intelligence Practitioners
title_sort artificial intelligence affordances for organisational change perspectives from south african artificial intelligence practitioners
topic Information System
url http://hdl.handle.net/11427/39269
work_keys_str_mv AT achmatluqman artificialintelligenceaffordancesfororganisationalchangeperspectivesfromsouthafricanartificialintelligencepractitioners

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