Forthcoming and Online First Articles

International Journal of Information and Operations Management Education

International Journal of Information and Operations Management Education (IJIOME)

Forthcoming articles have been peer-reviewed and accepted for publication but are pending final changes, are not yet published and may not appear here in their final order of publication until they are assigned to issues. Therefore, the content conforms to our standards but the presentation (e.g. typesetting and proof-reading) is not necessarily up to the Inderscience standard. Additionally, titles, authors, abstracts and keywords may change before publication. Articles will not be published until the final proofs are validated by their authors.

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International Journal of Information and Operations Management Education (One paper in press)

Special Issue on: Unveiling Myths and Misconceptions About Human-Technology Interaction

  • Attributing responsibility in AI-assisted supply chain management decisions: the impact of outcomes on locus of control   Order a copy of this article
    by Alessia Dorigoni 
    Abstract: This study examines responsibility attribution in AI-assisted decision-making in supply chain management, focusing on how decision outcomes (success or failure) influence perceptions of accountability between the AI system and the human manager. Using a between-subjects experimental design, 160 participants evaluated AI-assisted decision scenarios with positive or negative outcomes. Specifically, participants were asked to assign the responsibility for the outcome achieved by the firm to both the AI and the manager. The study shows an outcome-based asymmetry in responsibility attribution: success is attributed to AI, while failure is blamed on the manager, suggesting managerial oversight could mitigate AI errors. These findings emphasize the need for transparent, accountable AI systems in organizations to balance human oversight and responsibility and they provide valuable educational insights for managers, equipping them with a deeper understanding of the risks and responsibilities involved when leveraging AI in supply chain management.
    Keywords: artificial intelligence; decision-making; accountability; educational insights.

 

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