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June 19, 2026Journal of Manufacturing Technology Management

AI-enabled immersive collaboration and resilience in manufacturing systems: reconstructing psychological contracts

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Authors

MSMehrdad Jalali SepehrBall State UniversityPHPaul HongUniversity of ToledoBGBenjamin GeorgeUniversity of Toledo

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Implication

Qualitative study examines trust mechanisms in AI-enabled manufacturing ecosystems, suggesting new resilience pathways.

Key Points

  • This study explores how digital technologies transform relational governance within manufacturing supply networks, focusing on trust formation and resilience.
  • Conducted thirteen semi-structured interviews with senior professionals across various industries in US manufacturing supply chains.
  • Utilized an abductive qualitative approach for iterative data analysis through coding and theoretical reconciliation.
  • Incorporated perspectives from social–ecological resilience and Panarchy to refine the conceptual model.
  • Identified three trust mechanisms: performance-based trust, lateral trust, and technology-mediated trust impacting resilience pathways.
  • Found that contextual factors like digital maturity and workforce stability influence the effectiveness of AI-enabled collaboration.
  • Introduced the concept of Supply Chain Resilience Potentiality (SCRP), illustrating how resilience emerges from ecosystem pressures and digital infrastructures.

Cite This Study

Sepehr et al. (2026) studied this question.

synapsesocial.com/papers/6a34e06865a5b0777af2f162https://doi.org/10.1108/jmtm-12-2025-1275
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