Exploration of the adoption of Artificial Intelligence within traditional recruitment and selection processes among South African Universities

dc.contributor.authorMurerwa, Godwin
dc.date.accessioned2024-08-08T08:51:28Z
dc.date.available2024-08-08T08:51:28Z
dc.date.issued2023
dc.descriptionA research report submitted in partial fulfillment of the requirements for the degree of Master of Business Administration to the Faculty of Commerce, Law and Management, Wits Business School, University of the Witwatersrand, Johannesburg, 2023
dc.description.abstractIndustries across the world are investing in and embracing artificial intelligence in their recruitment and selection strategies. Artificial Intelligence (AI) in talent acquisition, fuelled through technological innovation has disrupted traditional recruitment and selection processes. Within South Africa, adoption of AI has been reported to be slow with most organisations still at a pilot stage. An organisation competitive advantage is generated from the people it employs. Due to increased globalisation and interlinked economies, companies rely on their highly talented employees for sustainable competitiveness. It is critical in a world where there is scarcity of skills, talent and resources to use an intelligent system in staffing. Traditional techniques of managing entities are being contested globally. Traditionally, recruitment and selection was a laboriously administrative, mundane and manual process susceptible to prejudices and biases of the practitioner. This research explored the factors influencing Artificial Intelligence adoption in the traditional recruitment and selection practices among South African universities. The main objectives of the study were to establish factors influencing the adoption of Artificial Intelligence in recruitment and selection processes among South African universities and consequently recommend feasible strategies of adopting such technology within the talent acquisition practices of the universities. The study utilised a quantitative research approach through a survey design. For data collection, the research instrument was an online self-completion questionnaire. The study employed non-probability sampling, purposive sampling in particular. This enabled the research to focus on the characteristics and attributes consistent with the study objectives. A total of ninety-five participants from nine South African universities completed the online questionnaire. The findings demonstrated the potential benefits of AI adoption to the hiring processes of South African universities. The benefits of AI adoption seem to be mostly in perceived accuracy and speed in which it curtails tedious tasks in recruitment and selection. There are however significant challenges that should be addressed. Issues to do with ethics
dc.description.submitterMM2024
dc.facultyFaculty of Commerce, Law and Management
dc.identifier.citationMurerwa, Godwin. (2023). Exploration of the adoption of Artificial Intelligence within traditional recruitment and selection processes among South African Universities [Master’s dissertation, University of the Witwatersrand, Johannesburg]. WireDSpace.https://hdl.handle.net/10539/40037
dc.identifier.urihttps://hdl.handle.net/10539/40037
dc.language.isoen
dc.publisherUniversity of the Witwatersrand, Johannesburg
dc.rights© 2023 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.subjectRecruitment and selection
dc.subjectAdoption
dc.subjectTechnology organisation and environment model (TOE)
dc.subjectUCTD
dc.subject.otherSDG-9: Industry, innovation and infrastructure
dc.titleExploration of the adoption of Artificial Intelligence within traditional recruitment and selection processes among South African Universities
dc.typeDissertation

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