The Impact of Big Data and Predictive Analytics on Triple Bottom Line Sustainability Performance: The Mediating Role of Environmental Volatility

This paper investigates the influence of Environmental Volatility (EV) on the relationship between Big Data and Predictive Analytics (BDPA) and Triple Bottom Line (TBL) sustainability performance, focusing on firms in the BRICS nations. Utilizing data from 304 Information Technology (IT) professionals, we employ Partial Least Squares Structural Equation Modeling (PLS-SEM) and Artificial Neural Networks (ANN) to test our hypotheses. The results demonstrate that EV mediates the relationship between BDPA and all three dimensions of TBL: economic, environmental, and social sustainability. The findings provide managers with practical insights into leveraging BDPA capabilities to enhance sustainability outcomes in volatile business environments.