The impact of Big Data Analytics Capabilities on the performance of South African Financial Sectors
| dc.contributor.author | Molepo, Sinah | |
| dc.contributor.supervisor | Ndlela, Thubelihle | |
| dc.date.accessioned | 2026-01-20T11:33:43Z | |
| dc.date.issued | 2024 | |
| dc.description | A research report submitted in fulfillment of the requirements for the Master of Management in the field of Digital Business, in the Faculty of Commerce Law and Management, Wits Business School, University of the Witwatersrand, Johannesburg, 2024 | |
| dc.description.abstract | The relationship between big data analytics capabilities and firm performance has garnered a lot of attention from both practitioners and academics recently. Organisations have been investing in technologies like big data analytics to enhance performance, however, not all organisations have proven benefits of its impact to the firm’s performance. The study proposed the big data analytics capabilities conceptual framework, drawing upon the two theories resource-based view and dynamic capability to determine the impact of big data analytics capabilities on the firm performance of the financial sectors in South African, with a mediator of dynamic capabilities. The findings of this study confirm the positive and significant relationship between big data analytics capabilities and the firm performance in South African financial sectors. Moreover, it was found that amongst the three big data analytics capabilities, tangible, intangible and human resources, the human capabilities had the greatest impact to firm performance, followed by tangible capabilities. On the other hand, the intangible capabilities had no significant impact of the firm performance. Furthermore, the study revealed that there is no significant effect of dynamic capabilities mediation on the relationship between big data analytics capabilities and the firm performance. | |
| dc.description.submitter | MM2025 | |
| dc.faculty | Faculty of Commerce, Law and Management | |
| dc.identifier.citation | Molepo, Sinah . (2024). The impact of Big Data Analytics Capabilities on the performance of South African Financial Sectors [Master`s dissertation, University of the Witwatersrand, Johannesburg]. WIReDSpace. https://hdl.handle.net/10539/47885 | |
| dc.identifier.uri | https://hdl.handle.net/10539/47885 | |
| dc.language.iso | en | |
| dc.publisher | University of the Witwatersrand, Johannesburg | |
| dc.rights | © 2024 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.holder | University of the Witwatersrand, Johannesburg | |
| dc.school | WITS Business School | |
| dc.subject | UCTD | |
| dc.subject | Big Data | |
| dc.subject | Big Data Analytics | |
| dc.subject | Big Data Analytics Capabilities | |
| dc.subject | South Africa, | |
| dc.subject.primarysdg | SDG-8: Decent work and economic growth | |
| dc.title | The impact of Big Data Analytics Capabilities on the performance of South African Financial Sectors | |
| dc.type | Dissertation |