The Impact Artificial Intelligence on Supply Chain Performance Through Supply Chain Dynamism, Adaptive Capabilities, Supply Chain Resiliences

The business field has conducted extensive studies on artificial intelligence. However, research is still needed to explore artificial intelligence in supply chain management. This study explores how artificial intelligence impacts supply chain dynamism, adaptive capabilities, and resilience. Additionally, it will investigate the effect of these factors on supply chain performance. The analysis is grounded in organizational information processing theory and uses a quantitative method with primary data gathered through questionnaires from 100 employees working in supply chain-related divisions. Respondents were selected using purposive techniques, and structural equation modeling was employed for data analysis using SmartPLS 3.0. The findings reveal that artificial intelligence significantly affects supply chain dynamism, adaptive capabilities, and resilience. Additionally, the study highlights the influence of supply chain resilience on supply chain performance. Notably, the study's novelty lies in identifying that supply chain dynamism and adaptive capabilities do not significantly impact supply chain performance.