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Mini Dissertation (MBA)--University of Pretoria, 2017.
| Other Authors: | |
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| Format: | Thesis |
| Language: | English |
| Published: |
University of Pretoria
2018
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| _version_ | 1867613680860921856 |
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| access_status_str | Open Access |
| author2 | Chen, Jeff |
| author_browse | Chen, Jeff |
| author_facet | Chen, Jeff |
| collection | Thesis |
| dc_rights_str_mv | © 2018 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, 2017. |
| format | Thesis |
| id | oai:repository.up.ac.za:2263/64917 |
| institution | University of Pretoria (South Africa) |
| language | English |
| last_indexed | 2026-06-10T12:40:00.333Z |
| license_str | Other — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository |
| publishDate | 2018 |
| publishDateRange | 2018 |
| publishDateSort | 2018 |
| 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:2263/64917 Factors critical to the organisational adoption of artificial intelligence : a South African perspective. Chen, Jeff ichelp@gibs.co.za Rao, Tarun UCTD Mini Dissertation (MBA)--University of Pretoria, 2017. The purpose of this research is to understand the factors critical to the organisation level adoption of Artificial Intelligence (AI) based technologies in a South African context. Considering the emerging nature of AI based technologies and the relative immaturity of extant academic studies at the intersection of AI and the business context, the current study finds salience in its propensity to support senior management in the considerations that they must make when tackling the AI based adoption decision. Considering the relative immaturity of extant studies an exploratory qualitative approach was adopted to support the direction of inquiry. The principle findings include the identification of salient Technological, Organisational and Environmental factors that must be considered when electing to adopt AI based technology. Implications for managers in the South African context are the presentation as findings of localised factors for consideration to support the AI based adoption decision. km2018 Gordon Institute of Business Science (GIBS) MBA Unrestricted 2018-05-11T09:03:21Z 2018-05-11T09:03:21Z 30-03-18 2017 Mini Dissertation Rao, T 2017, Factors critical to the organisational adoption of artificial intelligence : a South African perspective., MBA Mini Dissertation, University of Pretoria, Pretoria, viewed yymmdd <http://hdl.handle.net/2263/64917> http://hdl.handle.net/2263/64917 en © 2018 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 Factors critical to the organisational adoption of artificial intelligence : a South African perspective. |
| title | Factors critical to the organisational adoption of artificial intelligence : a South African perspective. |
| title_full | Factors critical to the organisational adoption of artificial intelligence : a South African perspective. |
| title_fullStr | Factors critical to the organisational adoption of artificial intelligence : a South African perspective. |
| title_full_unstemmed | Factors critical to the organisational adoption of artificial intelligence : a South African perspective. |
| title_short | Factors critical to the organisational adoption of artificial intelligence : a South African perspective. |
| title_sort | factors critical to the organisational adoption of artificial intelligence a south african perspective |
| topic | UCTD |
| url | http://hdl.handle.net/2263/64917 |