Existing and forthcoming obstacles in adopting technological advances in vulnerable supply chains

The study on supply chain vulnerabilities presented in this research intends to uncover key indicators influencing the adoption of new technological advancements to enhance supply chain operations. This work used the GRA (grey relational analysis) method to conduct semi-structured interviews with the PQR company’s automotive lead design engineer, manufacturing process engineer, and optical process engineer in order to enhance the supply chain process and develop a comprehensive structural relationship to rank them to streamline the supply chain vulnerability (SCV) indicators. From the data analysis and results, cost of implementation (CI), skills gap (SG), and cultural shift (CS) are identified as the top three key indicators. However, environmental concerns (EC), regulatory compliance (RC), and supply chain complexity (SCC) have been identified as the bottom three key indicators, respectively. The study’s conclusion assists the company’s supply chain vulnerability decision-makers (DMs) in identifying critical signs impeding the uptake of new technology. As a market leader, it constantly seeks to enhance the value of its goods through supply chain management (SCM), strong management teams, and expert decision-making that will boost business performance. This study is innovative in that it uses the GRA approach to rank the important indicators of supply chain vulnerability. Managers and practitioners will benefit from this work as the organization will be able to adapt to new developments in their supply chain process and offer superior services.