A Comprehensive Study on AI and Analytics for Sustainable Decision‐Making
摘要
Sustainable decision-making entails evaluating alternatives that balance economic, social and environmental factors for long-term well-being. It necessitates evaluating the effect of initiatives on ecosystems, communities and subsequent generations. This study examines the strategic integration of information technology (IT) coupled with advertising initiatives and offers manufacturing as well as decision-makers in operations with the strategy of increasing the operational management process. The hypothesized correlations of a structural equation modeling (SEM) framework have been determined using data from 300 administrators from numerous enterprises. An artificial intelligence (AI)-based technique is established by employing an Intelligent Twin Support Vector Machine (ITSVM) to provide input into a structure for making sustainable decisions to investigate the greatest efficiency of the integrated methods. The findings demonstrate that the advertising approach positively mediates IT strategy’s impact on effectiveness, whereas organizational structure mitigates advertising strategies’ impact. This research determines the significance of AI and analytics for sustainable decision‐making in the operational management process.