In today's rapidly changing business environment, companies need to be dynamic, adapting their internal processes to respond effectively to external changes. Information Technology has become crucial for businesses to enhance their ability to manage and adapt to change. This study examines East Java manufacturing companies that have heavily invested in sustainable IT systems to enhance their supply chain responsiveness and resilience through improved purchasing strategies and production flexibility. The study collected data from companies that had implemented IT for at least three years, with respondents being permanent employees with a minimum of two years' experience. Analysis of 108 survey responses using SmartPLS 4 revealed significant impacts of IT implementation on purchasing strategy (0.610), production flexibility (0.363), and supply chain responsiveness (0.164). Furthermore, purchasing strategy influenced production flexibility (0.367), supply chain responsiveness (0.348), and resilience (0.166). Production flexibility also affected supply chain responsiveness (0.348) and resilience (0.343), while responsiveness impacted resilience by 0.306. These findings provide a practical contribution for functional managers in companies regarding the importance of IT investment in developing effective purchasing, production, and marketing strategies to meet market demands swiftly. The research contributes to supply chain strategy and resilience theory while highlighting the significance of strong collaboration with external partners for top management.

Manufacturing firms face increasing pressure to strengthen data integration and coordinate activities as digital technologies become embedded in business processes. Although digital literacy, supply chain integration, transparency, and digital orientation are recognized as essential capabilities, limited research has examined their combined effects on firm performance in emerging-market contexts. This study investigates the interrelationships among these capabilities by surveying 220 manufacturing companies across Java and analyzing the data using SmartPLS 4. The results show that digital literacy significantly enhances supply chain integration and supply chain transparency, although it does not directly influence digital orientation. Supply chain integration positively affects supply chain transparency, digital orientation, and firm performance. Supply chain transparency improves digital orientation but has no direct effect on firm performance. Digital orientation is found to be a strong predictor of firm performance. These findings highlight a sequential capability pathway in which digital literacy and supply chain capabilities shape digital orientation, which in turn drives firm performance. The study offers practical guidance for manufacturing firms seeking strengthening digitalization strategies through targeted development of employee digital skills, integrated information systems, and transparent supply chain processes.

This paper analyzes the effect of Artificial Intelligence (AI) implementation projects on the operational performance of manufacturing companies in Indonesia, considering the mediating role of quality internal integration, quality external integration, and supply chain responsiveness. This study uses a quantitative research approach, utilizing a survey method, with 109 manufacturing companies in Java and Bali that have adopted AI technology in their production processes. Data processing was carried out using the Partial Least Squares (PLS) approach. The results indicate that the AI implementation project has a significant impact on both internal quality integration and external quality integration but does not directly affect supply chain responsiveness or operational performance. Quality internal integration is proven to be a key variable that significantly affects quality external integration, supply chain responsiveness, and operational performance. Meanwhile, quality external integration has a significant effect on supply chain responsiveness but not on operational performance directly. Additionally, supply chain responsiveness has been proven to positively contribute to improving operational performance. The conceptual model developed in this study successfully demonstrates a multi-layered influence path from AI implementation project to operational performance through quality integration and supply chain responsiveness. This study highlights the importance of synergy between AI technology and internal and externally integrated quality management systems in achieving operational excellence in the manufacturing sector. These findings expand the theoretical understanding of the strategic role of AI in the context of supply chain and operational quality.

Business competition puts pressure on companies to improve their competitive advantage. Companies utilize technology to develop innovative products that offer added value and benefit. This study aims to determine the impact of supply chain integration (internal, supplier, and customer integration) in building company competitiveness through the adoption of artificial intelligence. Data collection was conducted on 252 manufacturing companies in Java, Indonesia, the center of the manufacturing industry, using direct distribution and Google Forms. Data processing was carried out using SmartPLS 4, with the results indicating that supply chain integration, specifically internal integration, has a significant impact on supplier integration, customer integration, and the adoption of artificial intelligence. Supplier integration has a significant effect on customer integration, the adoption of artificial intelligence, and a company's competitive advantage. Customer integration is having a substantial impact on the adoption of artificial intelligence and the competitive advantage it provides. The results offer a practical contribution to company management, enabling them to invest wisely in technologies that enhance competitiveness. Companies need to involve cross-functional and external partners in supporting business activities to support technology implementation, allowing rapid adaptation and improved performance.