Monaetsa, Moloko2024-08-072024-08-072023Monaetsa, Moloko. (2023). The Road Accident Fund's Readiness to Adopt Big Data [Master’s dissertation, University of the Witwatersrand, Johannesburg]. WireDSpace.https://hdl.handle.net/10539/40024https://hdl.handle.net/10539/40024A research report submitted in partial fulfillment of the requirements for the degree of Master of Business Administration degree to the Faculty of Commerce, Law and Management, Wits Business School, University of the Witwatersrand, Johannesburg, 2023With the fast proliferation of data in numerous formats and from various sources, businesses can transform raw data into information that helps them comprehend their consumers' demands. The utilization of large data sets enables firms to make data-driven decisions. Although public institutions acknowledge the benefits of adopting big data, theyare hesitant to do so for a variety of reasons. Few studies have looked into the public sector's readiness to use big data. The current study looks into how open the public sector is to incorporate big data. The Technology Organisation Technology framework was used to examine how various technological, organizational, and environmental factors influence the preparedness of big data in government agencies. The present study employed a qualitative approach to gather data through face-to-face interviews, to assess the key factors that contribute to the preparedness of big data in the public sector. Three technological aspects, including the readiness of Information Communication Technology infrastructure, data security, and data integration, have been identified as crucial for the public sector's readiness to utilize big data. The readiness of the public sector for big data adoption was dependent on three organisational factors: management support, budgetary assistance, and clarity of objectives. Three environmental elements were deemed critical for preparing for big data adoption in the public sector: public acceptance, service providers, and external attitude. The people context, the skill level of engineers, the acquisition of data scientists, and the analytical skill level of management significantly influenced the big data adoption preparedness of public organizations.en© 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.TechnologyInformation Communication TechnologyRoad Accident Fund'sBig DataUCTDSDG-8: Decent work and economic growthDissertationUniversity of the Witwatersrand, Johannesburg