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

被引：50

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.

引用

页数：17

共 184 条

[1] Predicting e-readiness at firm-level: An analysis of technological, organizational and environmental (TOE) effects on e-maintenance readiness in manufacturing firms
Aboelmaged, Mohamed Gamal
[J]. INTERNATIONAL JOURNAL OF INFORMATION MANAGEMENT, 2014, 34 (05) : 639 - 651
[2] Accenture, 2021, LEAD WANT
[3] Digital supply chain: challenges and future directions
Ageron, Blandine
Bentahar, Omar
Gunasekaran, Angappa
[J]. SUPPLY CHAIN FORUM, 2020, 21 (03): : 133 - 138
[4] A structural equation model for big data adoption in the healthcare supply chain
Agrawal, Dindayal
Madaan, Jitender
[J]. INTERNATIONAL JOURNAL OF PRODUCTIVITY AND PERFORMANCE MANAGEMENT, 2023, 72 (04) : 917 - 942
[5] Agrawal TK, 2018, SPR SER FASH BUS, P197, DOI 10.1007/978-981-13-0080-6_10
[6] Hospital Information System adoption: Expert perspectives on an adoption framework for Malaysian public hospitals
Ahmadi, Hossein
Nilashi, Mehrbakhsh
Shahmoradi, Leila
Ibrahim, Othman
[J]. COMPUTERS IN HUMAN BEHAVIOR, 2017, 67 : 161 - 189
[7] Critical Factors of Digital Supply Chains for Organizational Performance Improvement
Ahmed Khan, Sharfuddin
Kusi-Sarpong, Simonov
Gupta, Himanshu
Kow Arhin, Francis
Nguseer Lawal, Jennifer
Mehmood Hassan, Syed
[J]. IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT, 2024, 71 : 13727 - 13741
[8] Factors influencing BIM adoption in emerging markets???the case of India
Ahuja, Ritu
Sawhney, Anil
Jain, Megha
Arif, Mohammed
Rakshit, Samya
[J]. INTERNATIONAL JOURNAL OF CONSTRUCTION MANAGEMENT, 2020, 20 (01) : 65 - 76
[9] Modelling the barriers of Health 4.0-the fourth healthcare industrial revolution in India by TISM
Ajmera, Puneeta
Jain, Vineet
[J]. OPERATIONS MANAGEMENT RESEARCH, 2019, 12 (3-4) : 129 - 145
[10] Factors affecting the adoption of information and communication technology in small and medium enterprises: a perspective from rural Saudi Arabia
AlBar, Adnan Mustafa
Hoque, Md. Rakibul
[J]. INFORMATION TECHNOLOGY FOR DEVELOPMENT, 2019, 25 (04) : 715 - 738

← 1 2 3 4 5 6 7 8 9 10 →