A novel max–min BWM method to boost the digital transformation of resilience supply chains

Abstract The increasing frequency of supply chain disruptions has made resilience and digital integration essential. Indeed, firms that succeeded during the COVID-19 pandemic demonstrated advanced digital and supply chain resilience capabilities, enabling them to mitigate adverse consequences. Addressing this forefront topic in operations management, the article introduces an innovative max–min best–worst method to guide digital transformation in global supply chains. This approach aims to maximize resilience capabilities and minimize the impact of supply chain disruptions. The method is examined through an empirical case study of a highly digitalized furniture company. The findings emphasize the importance of redundancy, a robust risk management culture, and adaptability, with raw material delays and cyberattacks being the most significant threats. Moreover, prioritizing the adoption of big data, digital platforms, blockchain, and advanced control systems is crucial for addressing ongoing geopolitical disruptions. Finally, the study discusses both theoretical and managerial implications and suggests avenues for future research.