Neurodivergent Supply Chain Intelligence: Autism-Spectrum Advantage in Sustainable Logistics
DOI:
https://doi.org/10.64229/kfwgz154Keywords:
Neurodiversity, Autism-spectrum, Supply Chain Sustainability, Cognitive Diversity, Green Logistics, Circular Economy, Pattern Recognition, Sustainability PerformanceAbstract
This conceptual paper develops the first theoretical framework linking autism-spectrum cognitive traits to sustainable supply chain performance, introducing the Neurodivergent Sustainable Chain Intelligence Framework (NSCIF) to bridge neurodiversity research with green logistics management. The study employs conceptual theory development through systematic literature synthesis across neurodiversity and sustainable supply chain domains, followed by expert validation using a two-round Delphi study with 40 specialists (20 neurodiversity researchers and 20 supply chain sustainability professionals). The NSCIF framework identifies four key dimensions: Cognitive Advantage Dimensions (hyperfocus intensity, pattern recognition acuity, systematic processing, detail orientation), Sustainability Performance Amplifiers (carbon footprint precision, fraud detection capability, quality control excellence, circular design optimization), Organizational Integration Mechanisms (inclusive team structures, cognitive complementarity, accommodation protocols, performance measurement systems), and Sustainability Outcome Predictors (environmental performance, compliance accuracy, innovation capacity, stakeholder trust). Five theoretical propositions establish relationships between autism-spectrum cognitive traits and sustainability performance outcomes. This research represents a change in perspective from a deficit-based to a strength-based understanding of neurodiversity within supply chain contexts, providing the first systematic model connecting individual cognitive differences to organizational sustainability outcomes and establishing theoretical foundations for inclusive green supply chain design.
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