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April 18, 2026Supply Chain Management An International Journal

AI-powered risk mitigation and organizational sensemaking for supply chain resilience

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Authors

ARAamir RashidRRRizwana Rasheed

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Overview

Quantitative analysis reveals AI enhances manufacturing supply chain resilience, suggesting effective strategies for adaptation.

Key Points

  • This research investigates how AI-powered risk management and organizational strategies can enhance supply chain resilience during digital transformation.
  • Collected data from 741 respondents across 27 US states.
  • Used systematic random sampling to distribute questionnaires to 1,900 employees.
  • Employed structural equation modeling to test relationships between variables.
  • AISCRM positively influences autonomous resilience (AR).
  • AR enhances organizational sensemaking (OS) and supply chain resilience (SCR).
  • OS positively affects SCR and mediates the relationship between AR and SCR.

Cite This Study

Rashid et al. (2026) studied this question.

synapsesocial.com/papers/69e3216540886becb6540a15https://doi.org/10.1108/scm-11-2025-1161
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1The impact mechanism of artificial intelligence on the resilience of manufacturing supply chains and empirical examination2026
  2. 2AI Driven Resilience Framework for U.S. Manufacturing Supply Chain Optimization: Bridging technological excellence with intelligent automation and advanced analytics2025 · 1 citations
  3. 3Seeing the Unseen: AI Assimilation and Supply–Demand Visibility for Effective Risk Management in Manufacturing Supply Chains2026 · 1 citations
  4. 4Strengthening Supply Chain Resilience from Dynamic Capability View: Role of Artificial Intelligence Assimilation2026
  5. 5Unleashing the power of cloud adoption and artificial intelligence in optimizing resilience and sustainable manufacturing supply chain in the USA2024 · 73 citations