Disruptions and resilience in construction supply chains

Construction Supply Chains (CSCs) frequently face disruptions with relevant effects on inventory backlogs, price instability, and project performance. To address the existing fragmentation on CSC disruptions research, this paper proposes a Systematic Literature Review (SLR) enriched by advanced Natural Language Processing (NLP) techniques to capture how these supply chains have reacted to disruptions and understand how stakeholders can systematically apply emerging technologies and data-driven approaches to optimize CSCs, contributing to advancing intelligent systems and process automation across the construction lifecycle. This review is grounded on foundational resilience frameworks and disruption typologies to contextualize the shift toward integrated technology-enabled CSC and uncover research grouped into macro-level (e.g., transportation-centric) and micro-level (e.g., contractor resilience) clusters. This study advances the field by integrating SLR rigor with scalable NLP to produce a multidimensional framework for CSC resilience, mapping disruption themes and strategic responses across the CSC lifecycle, providing actionable insights for researchers and practitioners.