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      Managing healthcare supply chain through Artificial Intelligence (AI): A study of critical success factors

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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.

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          Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy

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            Selection of rational dispute resolution method by applying new step‐wise weight assessment ratio analysis (Swara)

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              Big data analytics: Understanding its capabilities and potential benefits for healthcare organizations

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                Author and article information

                Journal
                Comput Ind Eng
                Comput Ind Eng
                Computers & Industrial Engineering
                Elsevier Ltd.
                0360-8352
                1879-0550
                15 November 2022
                15 November 2022
                : 108815
                Affiliations
                [a ]Indian Institute of Management Rohtak, India
                [b ]Montpellier Business School, University of Montpellier, Montpellier Research in Management, France
                [c ]Jaipuria Institute of Management Noida, India
                [d ]Indian School of Mines-Indian Institute of Technology Dhanbad, India
                [e ]EM Normandie Business School, Metis Lab Le Havre, France
                Author notes
                [* ]Corresponding author.
                Article
                S0360-8352(22)00803-8 108815
                10.1016/j.cie.2022.108815
                9664836
                36405396
                8b9c58aa-1def-4ee9-aadd-a536f715ff44
                © 2022 Elsevier Ltd. All rights reserved.

                Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.

                History
                : 13 August 2021
                : 24 August 2022
                : 11 November 2022
                Categories
                Article

                artificial intelligence,healthcare,supply chain,swara
                artificial intelligence, healthcare, supply chain, swara

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