Managing healthcare supply chain through artificial intelligence (AI): A study of critical success factors

被引：62
作者：
Kumar, Ashwani [1 ]
Mani, Venkatesh [2 ]
Jain, Vranda [3 ]
Gupta, Himanshu [4 ]
Venkatesh, V. G. [5 ]
机构：
[1] Indian Inst Management Rohtak, Rohtak, India
[2] Montpellier Business Sch, Montpellier, France
[3] Jaipuria Inst Management Noida, Noida, India
[4] Indian Sch Mines, Indian Inst Technol Dhanbad, Dhanbad, Bihar, India
[5] EM Normandie Business Sch, Metis Lab Le Havre, Le Havre, France
来源：
COMPUTERS & INDUSTRIAL ENGINEERING | 2023年 / 175卷
基金：
英国科研创新办公室;
关键词：
Artificial Intelligence; Healthcare; Supply chain; SWARA; INFORMATION-TECHNOLOGY ADOPTION; BLOCKCHAIN TECHNOLOGY; INDUSTRY; 4.0; MEDIUM ENTERPRISES; MANAGEMENT; FRAMEWORK; BARRIERS; PERSPECTIVE; INNOVATION; DECISION;
D O I：
10.1016/j.cie.2022.108815
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
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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页数：17
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