...Wolf Frenkler; Manuel Wimmer; Christoph Küffner; Evi Hartmann Purpose This study aims to examine how artificial intelligence ( AI )-driven advancements may enhance supply chain management ( SCM ) performance across SCOR-DS processes by 2040, addressing the lack of systematic, long-horizon, cross...

...Muhammad Hafiz Riandi; Paul Bergey; Yifan Zhong; Huashan Li Purpose Global supply chains are increasingly challenged by trade disruptions, regulatory fragmentation and operational risk, necessitating innovative solutions such as Blockchain and artificial intelligence ( AI ). This study...

...Aamir Rashid; Rizwana Rasheed Purpose This study aims to examine the integrated impact of artificial intelligence ( AI )-powered supply chain risk management ( AISCRM ), autonomous resilience ( AR ), organizational sensemaking ( OS ) and supply chain resilience ( SCR ) on enhancing US...

... in the automotive industry, where sustainable concerns, high levels of automation and third-party dependencies create a complex and vulnerable operational landscape. In this context, this paper aims to address the integration of zero trust architecture ( ZTA ) and artificial intelligence ( AI ) that emerge...

...Aamir Rashid; Rizwana Rasheed Purpose This study aims to develop a comprehensive framework for supply chain cognitive resilience by integrating artificial intelligence, collaboration and coordination, autonomous resilience maturity and organizational sensemaking agility. It addresses critical gaps...

... Licensed re-use rights only Resilience Dynamic capabilities Knowledge management Food supply chain Artificial intelligence Blockchain IoT Businesses have experienced significant supply chain disruptions caused by the COVID-19 pandemic and have faced difficulties reorganising...