The Adoption of Big Data Analytics in the South African Mining Industry
Date
2024
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
University of the Witwatersrand, Johannesburg
Abstract
This study investigated big data analytics adoption in South Africa's mining industry, focusing on technological, organisational, and human factors using the Technology Acceptance Model 3(TAM3). Data from various industry professionals was gathered and analysed quantitatively, revealing strong links between factors like computer self-efficacy, management support, and peer influence in technology adoption. The key findings indicate strong relationships between computer self-efficacy, management support, and peer influence on technology adoption. This emphasises the crucial importance of organisational support and infrastructure.. The study highlights a multidimensional approach, integrating technology with human and organisational elements, offering insights and practical recommendations for industry adoption of big data analytics.
Description
A research report submitted in partial fulfilment 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, 2024
Keywords
Technology Adoption in Mining, Digital Transformation in Mining, Big Data Analytics, South African Mining Industry, Data-Driven Decision Making in Mining, UCTD
Citation
Naidoo, Shalin. (2024). The Adoption of Big Data Analytics in the South African Mining Industry[Master’s dissertation, University of the Witwatersrand, Johannesburg].WireDSpace.