Leveraging Human-Machine Interaction to Optimize Sustainability with Big Data and AI Technologies

Human-machine interaction is becoming more important in modern technology, especially in improving organizational performance and sustainability with the help of artificial intelligence and big data analytics. The purpose of this study is to examine the role of big data analytics and artificial intelligence in the enhancement of sustainable performance via the mediation of sustainable process integration strategies. This research gathers data from managers within Taiwan's manufacturing industry by employing a cluster sampling method. According to the results, big data analytics and artificial intelligence had positive significant associations with sustainable performance and sustainable process integration. Likewise, sustainable process integration significantly impacted sustainable performance. Furthermore, in terms of indirect impact, big data analytics and artificial intelligence had a substantial indirect association with sustainable performance by having sustainable process integration as the mediating variable.