Organizing vision of generative AI in the supply chain: an analysis of representations

Vision organisante de l’IA générative dans la supply chain: analyse des représentations

Aurélie Dudézert () and Mondher Feki ()
Additional contact information
Aurélie Dudézert: LITEM - Laboratoire en Innovation, Technologies, Economie et Management (EA 7363) - UEVE - Université d'Évry-Val-d'Essonne - Université Paris-Saclay - IMT-BS - Institut Mines-Télécom Business School - IMT - Institut Mines-Télécom [Paris], IMT-BS - TIM - Département Technologies, Information & Management - TEM - Télécom Ecole de Management - IMT-BS - Institut Mines-Télécom Business School - IMT - Institut Mines-Télécom [Paris]
Mondher Feki: RITM - Réseaux Innovation Territoires et Mondialisation - Université Paris-Saclay

Post-Print from HAL

Abstract: This article mobilises the interpretive function of the organising vision framework to analyse the representations attributed to generative AI in the supply chain by professional actors involved in the production and circulation of discourses on this technology. The study is based on the analysis of 42 public professional discourses delivered by experts, solution providers and early adopters and disseminated on YouTube, using a mixed-method approach combining content analysis and correspondence factor analysis. The findings reveal the emergence of an organising vision structured around three dominant representations of generative AI in the supply chain: an efficiency-enhancing instrument; a catalyst for augmented intelligence; and a decision-support tool. These interpretations, however, remain largely general and weakly anchored in the operational realities of supply chain management, suggesting an early and not yet stabilised organising vision. The study contributes to research on the sociotechnical dynamics of the supply chain by showing how collective representations shape the interpretation of an emerging technology. It also highlights the methodological relevance of analysing professional discourses disseminated through digital platforms and sheds light on managerial challenges related to preparing the integration of generative AI into existing logistics information systems.

Keywords: Generative AI; Organising vision; Representations; Discourse; Supply chain; IA Générative; Vision organisante; Représentations; Discours; Supply Chain (search for similar items in EconPapers)
Date: 2026
References: Add references at CitEc
Citations:

Published in Logistique & Management, A paraître, ⟨10.1080/12507970.2026.2638585⟩

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-05451161

DOI: 10.1080/12507970.2026.2638585

Access Statistics for this paper

More papers in Post-Print from HAL
Bibliographic data for series maintained by CCSD ().