INTEGRATING IOT AND BIG DATA ANALYTICS FOR ENHANCED SUPPLY CHAIN PERFORMANCE IN INDUSTRIAL ENGINEERING SECTORS: A CROSS-MARKET STUDY

Abstract

Integrating the Internet of Things (IoT) and big data analytics revolutionizes supply chain management across industrial engineering sectors, offering unprecedented opportunities for enhancing efficiency, responsiveness, and competitive advantage. This study employs a qualitative research design, leveraging expert interviews to explore the multifaceted impact of these technologies on supply chain performance. Findings underscore the critical importance of strategic alignment, leadership support, and a clear focus on business objectives for successful technology implementation. Enhanced real-time visibility, improved decision-making, and operational efficiency are identified as consistent benefits across sectors. However, the specific outcomes and applications vary according to industry-specific challenges and priorities. Despite the rich insights gained, the study acknowledges the limitations inherent in its qualitative approach. It suggests avenues for future research, including quantitative analyses and deeper dives into sector-specific implementations. This research contributes to a better understanding of how IoT and big data analytics can be effectively integrated into supply chains, providing a foundation for organizations seeking to navigate the complexities of digital transformation in an interconnected global marketplace.