The Role of Artificial Intelligence in Change Management within Organisations in Johannesburg

dc.contributor.authorManamela, Mamaphala Meriam
dc.contributor.supervisorGobind, Jenika
dc.date.accessioned2024-07-22T08:53:18Z
dc.date.available2024-07-22T08:53:18Z
dc.date.issued2022
dc.descriptionA research report submitted in partial fulfillment of the requirements for the degree of Master of Management in the field of Digital Business to the Faculty of Commerce, Law and Management, Wits Business School, University of the Witwatersrand, Johannesburg, 2022
dc.description.abstractOrganisations are changing their work to align with the Fourth Industrial Revolution (4IR). Customers’ needs have adjusted to conform to ever-changing technologies. These pressure organisations to implement technology alterations simultaneously to ensure transformation within the organisations and keep their existing customers. Moreover, technological changes require organisations to refocus their strategies and assess the capacity of Change Management to support the 4IR amid challenges brought by the change. Currently, no technologies have been instituted to implement Change Management activities. Presently, Change Management processes are not digitally implemented within organisations. instead, they are implemented manually. This leads to a lack of performance in Change Management and an inability to evaluate successes and failures. Artificial Intelligence (AI), as a proposed technology to digitalise Change Management activities, will ensure the proper Change Management impact through the data flow, ensure the data is accurate and reliable, and improve performance. This study explored the role of AI in implementing Change Management within organisations in Johannesburg. It considers how AI can be utilised in Change Management activities, such as ensuring governance and planning of Change Management activities using the relevant data to predict the impact, communicate, and converse with stakeholders through AI technologies. Furthermore, learning and development, automatic problem solving, and speech recognition be used to implement Change Management. This research was conducted with the intention of comprehending participants’ experience, knowledge and involvement in Change Management. A triangulated qualitative research design was followed to gather data from sources that included nine one- on-one interviews and five participants for the first focus group session, seven participants for the second focus group session, and five participants for the third focus session. The participants, coming from different levels and positions, included executive management, senior management, change managers and Change Management specialists, and were interviewed using MS Teams or face-
dc.description.submitterMM2024
dc.facultyFaculty of Commerce, Law and Management
dc.identifier.citationManamela, Mamaphala Meriam. (2022). The Role of Artificial Intelligence in Change Management within Organisations in Johannesburgs [Master’s dissertation, University of the Witwatersrand, Johannesburg]. WireDSpace. https://hdl.handle.net/10539/38993
dc.identifier.urihttps://hdl.handle.net/10539/38993
dc.language.isoen
dc.publisherUniversity of the Witwatersrand, Johannesburg
dc.rights© 2022 University of the Witwatersrand, Johannesburg. All rights reserved. The copyright in this work vests in the University of the Witwatersrand, Johannesburg. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of University of the Witwatersrand, Johannesburg.
dc.rights.holderUniversity of the Witwatersrand, Johannesburg
dc.schoolWITS Business School
dc.subjectArtificial Intelligence
dc.subjectChange Management
dc.subjectFourth Industrial Revolution
dc.subjectLeadership
dc.subjectStakeholder Management
dc.subjectCommunication Management
dc.subjectChange Resilience
dc.subjectOrganisational Culture
dc.subjectUCTD
dc.subject.otherSDG-9: Industry, innovation and infrastructure
dc.titleThe Role of Artificial Intelligence in Change Management within Organisations in Johannesburg
dc.typeDissertation
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