Manamela, Mamaphala Meriam2024-07-222024-07-222022Manamela, 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/10539/38993https://hdl.handle.net/10539/38993A 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, 2022Organisations 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-en© 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.Artificial IntelligenceChange ManagementFourth Industrial RevolutionLeadershipStakeholder ManagementCommunication ManagementChange ResilienceOrganisational CultureUCTDSDG-9: Industry, innovation and infrastructureDissertationUniversity of the Witwatersrand, Johannesburg