Managing Healthcare Supply Chain through Artificial Intelligence (AI): A Study of Critical Success Factors

A. Kumar, V. Mani, V. Jain, H. Gupta and V.G. Venkatesh
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A. Kumar: IIM-Rohtak - Indian Institute of Management Rohtak
V. Mani: Groupe Sup de Co Montpellier (GSCM) - Montpellier Business School
V. Jain: Jaipuria Institute of Management [Noida]
H. Gupta: IIT DHANBAD - ISM - Indian Institute of Technology [Dhanbad]
V.G. Venkatesh: Métis Lab EM Normandie - EM Normandie - École de Management de Normandie = EM Normandie Business School

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Abstract: Healthcare is one of the most critical sectors due to its importance in handling public health. With the outbreak of various diseases, more recently during Covid-19, this sector has gained further attention. The pandemic has exposed vulnerabilities in the healthcare supply chain (HSC). Recent advancements like the adoption of various advanced technologies viz. AI and Industry 4.0 in the healthcare supply chain are turning out to be game-changers. This study focuses on identifying critical success factors (CSFs) for AI adoption in HSC in the emerging economy context. Rough SWARA is used for ranking CSFs of AI adoption in HSC. Results indicate that technological (TEC) factors are the most influential factor that impacts the adoption of AI in HSC in the context of emerging economies, followed by institutional or environmental (INT), human (HUM), and organizational (ORG) dimensions. \textcopyright 2022 Elsevier Ltd

Keywords: Advanced technology; Artificial intelligence; Emerging economies; Healthcare; Human dimensions; Influential factors; Organizational dimensions; Success factors; Supply chain; Supply chains; SWARA; Technological factors (search for similar items in EconPapers)
Date: 2023
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Citations: View citations in EconPapers (1)

Published in Computers & Industrial Engineering, 2023, 175, ⟨10.1016/j.cie.2022.108815⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-04433058

DOI: 10.1016/j.cie.2022.108815

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