Rethinking Supply Chain Resilience Through Adaptive System-Level Approach

Galuh Sudarawerti, Togar Mangihut Simatupang, Yuanita Handayati

Bandung Institute of Technology, Telkom University

Supply chain disruptions have become increasingly prolonged, overlapping, and systemic, thus challenging supply chain resilience practices that are commonly grounded in recovery-based approaches. Despite the increasing discussion regarding adaptive responses, the supply chain resilience (SCRES) literature is dominated by capability-centric approaches, offering limited system-level guidance under continuous and cascading disruptions. This study develops a concise conceptual framework that reframes SCRES as an ongoing adaptive process instead of a one-time recovery. A triangulated literature-based approach was employed by integrating bibliometric mapping, systematic literature review, and integrative synthesis to develop the conceptual framework. The proposed SCRES – Adaptive System-Level (SCRES-ASL) framework distinguishes two fundamentals, namely enabling conditions and adaptive dimensions, which are iteratively connected through feedback loops. This alignment between structural conditions and adaptive processes, through the emphasis on feedback loops, supports co-evolution across supply chain tiers. This study contributes to the SCRES study by providing a system-level adaptive process framework that provides actionable clarity for understanding and managing resilience under constant turbulence.

Article link: https://www.asianinstituteofresearch.org/JEBarchives/rethinking-supply-chain-resilience-through-adaptive-system-level-approach