An Artificial-Intelligence-Based omnichannel blood supply chain: A pathway for sustainable development

Journal article

Ghouri, A., Khan, H.R., Mani, V., Amin ul Haq, M. and Lopes de Sousa Jabbour, A. (2023). An Artificial-Intelligence-Based omnichannel blood supply chain: A pathway for sustainable development. Journal of Business Research. 164, p. 113980. https://doi.org/10.1016/j.jbusres.2023.113980
AuthorsGhouri, A., Khan, H.R., Mani, V., Amin ul Haq, M. and Lopes de Sousa Jabbour, A.
Abstract

We formulated and tested an innovative omnichannel blood supply chain (OBSC) model based on artificial intelligence (AI) using inputs raised in semi structured interviews conducted with heath care practitioners in a blood supply chain. The proposed AI-based OBSC model addresses the supply and demand imbalance in crucial situations for blood supply chains. A resource dependence theory bottom-up approach was applied to underpin the OBSC model. This model consists of two parts: (a) helping to find the closest and fastest available blood supply (omnichannel perspective) and (b) raising a blood supply request among university students (with the help of the university’s IT system) through SMS messaging in case of emergencies or blood shortages (AI perspective). This OBSC model is significant because it contributes to the United Nations’ Sustainable Development Goals, specifically the goal 3 to “ensure healthy lives and promote well-being for all at all ages.”

Keywordsomnichannel, supply chain management, sustainable development, artificial intelligence, health care
Year2023
JournalJournal of Business Research
Journal citation164, p. 113980
PublisherElsevier
ISSN 1873-7978
Digital Object Identifier (DOI)https://doi.org/10.1016/j.jbusres.2023.113980
Web address (URL)https://www.sciencedirect.com/science/article/abs/pii/S0148296323003387
Publication dates
Print02 May 2023
Publication process dates
Accepted19 Apr 2023
Deposited03 May 2023
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Open
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