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Adopting collective hybrid intelligence principles to enhance corporate innovation and process efficiencies
Mini Dissertation (MBA)--University of Pretoria, 2022.
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| Other Authors: | |
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| Format: | Thesis |
| Language: | English |
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University of Pretoria
2023
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| _version_ | 1867613673907814400 |
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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 | © 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 (MBA)--University of Pretoria, 2022. |
| format | Thesis |
| id | oai:repository.up.ac.za:2263/90851 |
| institution | University of Pretoria (South Africa) |
| language | English |
| last_indexed | 2026-06-10T12:39:53.658Z |
| license_str | Other — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| 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:2263/90851 Adopting collective hybrid intelligence principles to enhance corporate innovation and process efficiencies Chen, Jeff ichelp@gibs.co.za Taljaard, Ernst UCTD Mini Dissertation (MBA)--University of Pretoria, 2022. Collective Hybrid Intelligence (CHI) is a proposed paradigm in which collective entities, such as human intelligence, collective intelligence, and artificial intelligence, combine their unique abilities to form an entity greater than its individual sections. In a future era of automation and robotic technology, CHI could enable organisations to overcome the limitations of traditional intelligence and create highly effective and innovative companies based on shared intelligence and collective creativity. As we move into an age of collective hybrid intelligence (CHI), the need for data and analytics to support decision processes becomes more significant as we find ourselves in an environment in which human judgement increasingly needs to be supported by AI algorithms that have access to vast amounts of data and can analyse the insights to provide recommendations. This study will explore the factors of CHI principles and how its adoption could enhance corporate innovation and process efficiencies. pt23 Gordon Institute of Business Science (GIBS) MBA Unrestricted 2023-05-28T16:59:40Z 2023-05-28T16:59:40Z 19-04-2023 2022 Mini Dissertation * A2023 http://hdl.handle.net/2263/90851 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 Adopting collective hybrid intelligence principles to enhance corporate innovation and process efficiencies |
| title | Adopting collective hybrid intelligence principles to enhance corporate innovation and process efficiencies |
| title_full | Adopting collective hybrid intelligence principles to enhance corporate innovation and process efficiencies |
| title_fullStr | Adopting collective hybrid intelligence principles to enhance corporate innovation and process efficiencies |
| title_full_unstemmed | Adopting collective hybrid intelligence principles to enhance corporate innovation and process efficiencies |
| title_short | Adopting collective hybrid intelligence principles to enhance corporate innovation and process efficiencies |
| title_sort | adopting collective hybrid intelligence principles to enhance corporate innovation and process efficiencies |
| topic | UCTD |
| url | http://hdl.handle.net/2263/90851 |