Benchmarking Adaptive Supply Chains: Performance Metrics, Maturity Models, and Socio-Technical Configurations

Editors

  • Aamir Rashid, City University of New York
  • Rizwana Rasheed, City University of New York

Description

Organizations face ongoing disruptions and must adapt their supply chains while managing sustainability and digital transformation. However, there is limited frameworks for measuring and comparing adaptive supply chain performance across different organizations and contexts. This special issue seeks to advance research that uses benchmarking logic to systematically evaluate how well supply chains adapt.

The special issue emphasizes understanding adaptive performance through the interaction of people, technology, governance, and sustainability practices. Rather than treating adaptation as a general concept, research should operationalize adaptability with measurable constructs and benchmarking frameworks that highlight performance differences between configurations.

Contributions should employ rigorous comparative designs using quantitative, qualitative, or mixed methods to benchmark adaptive supply chains across industries and countries. By identifying which configurations perform better and under what conditions, the research will provide actionable insights for practitioners and policymakers.

Potential topics

  • Benchmarking adaptive supply chain performance across industries and regions
  • Performance metrics and composite indices for adaptive, sustainable, and resilient supply chains
  • Supply chain maturity models and benchmarking trajectories
  • Socio-technical configurations and comparative performance outcomes
  • Benchmarking digital and AI-enabled supply chain systems
  • Performance frontiers and efficiency analysis of adaptive supply chains
  • Cross-country and institutional benchmarking of supply chain adaptability
  • Governance, collaboration, and coordination as benchmarked performance drivers
  • Comparative analysis of sustainability and resilience performance trade-offs