(University of the Witwatersrand, Johannesburg, 2024) Naidoo, Shalin
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.
