The increasing impacts of climate change and extreme weather events have amplified the importance of supply chain resilience. This study focuses on creating a framework to strengthen supply chain endurance and contribute to ongoing discussions around resilience. A mixed-method approach is adopted, starting with qualitative research to identify key components of endurance, followed by an empirical analysis of its connection to supply chain and community resilience. The results underline the role of adaptive leadership, transparency, flexibility, collaboration, redundancy, and preparedness in enhancing endurance. This research highlights the critical need to develop these capabilities to support sustainable resilience for businesses and broader communities.

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This study investigates whether AI-driven ethical procurement systems enhance firms’ circular supply chain orientation and how governance mechanisms affect supplier cost performance. Using survey data from 393 Indian firms and structural equation modeling, the research confirms that AI-based ethical systems significantly strengthen circular supply chain orientation. Circular orientation promotes both relational and contractual governance, but only relational governance—built on trust and collaboration—improves supplier cost performance. Contractual governance shows no significant effect. The findings extend transaction cost economics by revealing that, in circular supply chains, cost efficiency depends more on flexible, trust-based relationships than on formal contracts. Managerially, the study highlights that AI and relational governance together are critical for achieving ethical, sustainable, and cost-effective procurement in the circular economy.
BAG Surajit - Excelia Business School |
- Recherche
- Logistique et Supply Chain, Management des Achats

