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May 8, 2026International Journal of Physical Distribution & Logistics Management

Mind the gap: generative AI as a knowledge translator to address the theory-practice gap in supply chain management

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Authors

DDDerek M. DuboisATAnis TrikiMKMahtab Kouhizadeh

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Overview

Randomized trial tests generative AI's effectiveness in enhancing knowledge translation for supply chain decision-makers, suggesting improved engagement.

Key Points

  • This study investigates whether generative AI can bridge the theory-practice gap in supply chain management by enhancing practitioner engagement with academic research.
  • Conducted a 2 × 2 between-subjects behavioral experiment with supply chain decision-makers.
  • Participants engaged with either an academic excerpt or its generative AI translation, framed by near-term or far-term temporal distance.
  • Measured practitioner engagement, knowledge retention, and cognitive load (ICL).
  • Generative AI translations significantly reduced ICL compared to original academic articles, enhancing practitioner engagement.
  • No loss in knowledge retention was observed between the two formats.
  • The indirect effect of knowledge source on engagement via ICL was significant, linking reduced cognitive effort with higher engagement.

Cite This Study

Dubois et al. (2026) studied this question.

synapsesocial.com/papers/69fd7fcdbfa21ec5bbf08617https://doi.org/10.1108/ijpdlm-08-2025-0423
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