Artificial intelligence (AI) for supply chain collaboration: implications on information sharing and trust

Weisz, Eric, , , , & Kummer, Sebastian (2024) Artificial intelligence (AI) for supply chain collaboration: implications on information sharing and trust. Online Information Review.

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Description

Purpose: Managers and scholars alike claim that artificial intelligence (AI) represents a tool to enhance supply chain collaborations; however, existing research is limited in providing frameworks that categorise to what extent companies can apply AI capabilities and support existing collaborations. In response, this paper clarifies the various implications of AI applications on supply chain collaborations, focusing on the core elements of information sharing and trust. A five-stage AI collaboration framework for supply chains is presented, supporting managers to classify the supply chain collaboration stage in a company’s AI journey.

Design/methodology/approach: Using existing literature on AI technology and collaboration and its effects of information sharing and trust, we present two frameworks to clarify (a) the interrelationships between information sharing, trust and AI capabilities and (b) develop a model illustrating five AI application stages how AI can be used for supply chain collaborations.

Findings: We identify various levels of interdependency between trust and AI capabilities and subsequently divide AI collaboration into five stages, namely complementary AI applications, augmentative AI applications, collaborative AI applications, autonomous AI applications and AI applications replacing existing systems.

Originality/value: Similar to the five stages of autonomous driving, the categorisation of AI collaboration along the supply chain into five consecutive stages provides insight into collaborations practices and represents a practical management tool to better understand the utilisation of AI capabilities in a supply chain environment.

Impact and interest:

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ID Code: 250755
Item Type: Contribution to Journal (Journal Article)
Refereed: Yes
ORCID iD:
Herold, David M.orcid.org/0000-0002-4023-2282
Payne, Ryanorcid.org/0000-0002-1165-8655
DOI: 10.1108/OIR-02-2024-0083
ISSN: 1468-4527
Pure ID: 173432487
Divisions: Current > Research Centres > Centre for Future Enterprise
Current > QUT Faculties and Divisions > Faculty of Business & Law
Current > Schools > School of Management
Copyright Owner: 2024 Emerald Publishing Limited
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Deposited On: 19 Jul 2024 00:51
Last Modified: 29 Jul 2024 06:47