Adopting collective hybrid intelligence principles to enhance corporate innovation and process efficiencies

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dc.contributor.advisor Chen, Jeff
dc.contributor.postgraduate Taljaard, Ernst
dc.date.accessioned 2023-05-28T16:59:40Z
dc.date.available 2023-05-28T16:59:40Z
dc.date.created 19-04-2023
dc.date.issued 2022
dc.description Mini Dissertation (MBA)--University of Pretoria, 2022.
dc.description.abstract 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.
dc.description.availability Unrestricted
dc.description.degree MBA
dc.description.department Gordon Institute of Business Science (GIBS)
dc.description.librarian pt23
dc.identifier.citation *
dc.identifier.other A2023
dc.identifier.uri http://hdl.handle.net/2263/90851
dc.language.iso en
dc.publisher University of Pretoria
dc.rights © 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.
dc.subject UCTD
dc.title Adopting collective hybrid intelligence principles to enhance corporate innovation and process efficiencies
dc.type Mini Dissertation


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