Modelling supply chain disruption analytics under insufficient data: A decision support system based on Bayesian hierarchical approach Article Swipe

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Syed Mithun Ali , A.B.M. Mainul Bari , Abid Ali Moghul Rifat , Majed Alharbi , Sangita Choudhary , Sunil Luthra ·

YOU? · · 2022 · Open Access · · DOI: https://doi.org/10.1016/j.jjimei.2022.100121

Related Topics

Supply Chain

Decision Support System

Revenue

Business

Risk Management

Supply Chain Management

Artificial Intelligence

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Supply chain Decision support system Risk analysis (engineering) Supply chain risk management Revenue Business Bayesian network Bayesian probability Risk management Supply chain management Analytics Computer science Service management Data mining Finance Marketing Machine learning Artificial intelligence

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Type: article
Language: en
Landing Page: https://doi.org/10.1016/j.jjimei.2022.100121
OA Status: gold
Cited By: 18
References: 76
Related Works: 10
OpenAlex ID: https://openalex.org/W4296970399

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DOI: https://doi.org/10.1016/j.jjimei.2022.100121

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Title: Modelling supply chain disruption analytics under insufficient data: A decision support system based on Bayesian hierarchical approach

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Type: article

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Language: en

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Publication year: 2022

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Publication date: 2022-09-24

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Authors: Syed Mithun Ali, A.B.M. Mainul Bari, Abid Ali Moghul Rifat, Majed Alharbi, Sangita Choudhary, Sunil Luthra

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Landing page: https://doi.org/10.1016/j.jjimei.2022.100121

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OA status: gold

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Concepts: Supply chain, Decision support system, Risk analysis (engineering), Supply chain risk management, Revenue, Business, Bayesian network, Bayesian probability, Risk management, Supply chain management, Analytics, Computer science, Service management, Data mining, Finance, Marketing, Machine learning, Artificial intelligence

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Cited by: 18

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Citations by year (recent): 2025: 3, 2024: 7, 2023: 5, 2022: 3

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References (count): 76

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