The Factors Influencing the Adoption of Big Data in the Financial Services Sector in South Africa
Date
2023
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
University of the Witwatersrand, Johannesburg
Abstract
This investigation examines factors influencing the adoption of big data in the South African banking sector. The dearth of studies on big data in the sector inspired the research. The investigation interrogates factors that influence the adoption of big data using the TOE model. The study used a total of 173 respondents across 53 South African banks. The primary data analysis model used was linear regression. The study’s findings are as follows: [1] Government regulations, competitor’s actions, and customer demands significantly influence adoption of big data. [2] Technology has a significant influence on the adoption of big data. [3] Organizational factors have a significant influence on the adoption of big data. Regression analysis showed that the dependent variable, big data adoption, is either positively or negatively affected by the study's variables. The study conducted a hypothesis test, which showed enough evidence to accept all alternative hypotheses suggesting a relationship between the variables and big data adoption. The study concludes that factors in the TOE model influence the rate of big data adoption in the banking sector. The study recommends that the government reduce regulations hindering big data adoption. The industry is encouraged to invest in big data for sustainable competitive advantage.
Description
A 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, 2023
Keywords
Big data, Technology, Environment, Organisation, Banking Sector, UCTD
Citation
Toma, Upenyu. (2023). The Factors Influencing the Adoption of Big Data in the Financial Services Sector in South Africa [Master’s dissertation, University of the Witwatersrand, Johannesburg]. WireDSpace. https://hdl.handle.net/10539/39943