Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Orupalli, Surendra; Sayama, Hiroki Title A name given to the resource Modeling Flood-Induced Cascading Disruptions in the Indian Electronics Supply Chain Using Influence Network Analysis Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2026 Source A related resource from which the described resource is derived Northeast Journal of Complex Systems;Volume;8;Issue;1;Article No.;11; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.63562/2577-8439.1164" target="_blank" rel="noreferrer noopener">https://doi.org/10.63562/2577-8439.1164</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105038288557?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105038288557?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Orupalli S., School of Systems Science and Industrial Engineering, Binghamton University, NY, United States; Sayama H., School of Systems Science and Industrial Engineering, Binghamton University, NY, United States, Waseda Innovation Lab, Waseda University, Japan, School of Sciences, Christ University, Lavasa, Pune, India Description An account of the resource This study investigates flood induced disruptions in the Indian electronics supply chain using influence network analysis. Monsoon floods are recurring hazards that significantly impact economic activities, logistics, and industrial productivity. This study integrates district-level rainfall data (2020 to 2025) with supply chain network models to quantify cascading failures. The methodology applies rainfall thresholds (? 300 mm/month) to identify flood-prone districts and constructs a stochastic influence matrix representing inter-firm dependencies. Flood propagation dynamics are modeled iteratively with a propagation coefficient (? = 0.6) and convergence threshold (? = 10-4). The resulting disruption profiles are mapped onto company-level revenues calibrated to India-specific scales, adjusted for disruption durations (two months per year). This approach produces district and company-level economic loss estimates consistent with observed flood impacts (e.g., Chennai 2015 flood losses of USD 3 to 5 billion). Key contributions include linking meteorological hazards to systemic supply chain failures, demonstrating economic vulnerabilities at district and sectoral scales, and providing a framework for resilience planning. 2026 Binghamton University Libraries. All rights reserved. Subject The topic of the resource Cascading Failures; Flood Induced Supply Chain Disruptions; Indian Electronics Industry; Influence Network Analysis; Resilience Modeling Publisher An entity responsible for making the resource available Binghamton University Libraries Relation A related resource ISSN: 25778439; Language A language of the resource English Type The nature or genre of the resource Article Rights Information about rights held in and over the resource All Open Access; Gold Open Access Format The file format, physical medium, or dimensions of the resource online