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

Author

Listed:
  • 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)

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

Suggested Citation

  • A. Kumar & V. Mani & V. Jain & H. Gupta & V.G. Venkatesh, 2023. "Managing Healthcare Supply Chain through Artificial Intelligence (AI): A Study of Critical Success Factors," Post-Print hal-04433058, HAL.
    • Handle: RePEc:hal:journl:hal-04433058
    DOI: 10.1016/j.cie.2022.108815
    as

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