Mr. Pervan Kanniah , Prof. Theuns Pelser
Abstract
Rapid technological advancements and the Industrial Internet of Things have exponentially increased data availability, creating new challenges for manufacturing organisations to maintain performance and competitiveness. Big data analytics offers potential benefits for improving performance through enhanced data-driven decision-making. However, research on implementing big data in dynamic and evolving manufacturing environments is limited. This study is grounded in the resource-based view and dynamic capabilities framework, emphasising the role of organisational IT capabilities—management, infrastructure, and expertise—in developing big data analytics capabilities to enhance performance. The focus is on process-oriented dynamic capabilities, which are crucial for manufacturing organisations with multiple interrelated processes. Understanding this construct is vital for overcoming challenges impacting organisational performance. The research analysed 165 online survey responses from the South African manufacturing sector using a higher-order formative-reflective PLS-SEM model. The findings confirmed that big data analytics capabilities positively influence organisational performance and process-oriented dynamic capabilities. The study provides valuable insights for manufacturing firms and academia, emphasising the importance of dynamic and process-oriented capabilities in leveraging big data for performance improvement.