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Building Resilience in Supply Chains: A Knowledge Graph-Based Risk Management Framework
15 references·0 citing·45 second hopsampled
Building Resilience in Supply Chains: A Knowledge Graph-Based Risk Management Framework (2023)Building Resilience in Supply Chains: A K…Towards knowledge graph reasoning for supply chain risk management using graph neural networks (2022)Towards knowledge graph reaso…A multi-stage supply chain disruption mitigation strategy considering product life cycle during COVID-19 (2022)A multi-stage supply chain di…Supply chain viability: conceptualization, measurement, and nomological validation (2021)Supply chain viability: conce…Introduction to Supply Chain Resilience (2021)Introduction to Supply Chain …Digital Supply Chain Management and Technology to Enhance Resilience by Building and Using End-to-End Visibility During the COVID-19 Pandemic (2021)Digital Supply Chain Manageme…Building supply-chain resilience: an artificial intelligence-based technique and decision-making framework (2021)Building supply-chain resilie…A supply chain disruption recovery strategy considering product change under COVID-19 (2021)A supply chain disruption rec…A machine learning approach for predicting hidden links in supply chain with graph neural networks (2021)A machine learning approach f…Viability of intertwined supply networks: extending the supply chain resilience angles towards survivability. A position paper motivated by COVID-19 outbreak (2020)Viability of intertwined supp…Role of Big Data Analytics in supply chain management: current trends and future perspectives (2020)Role of Big Data Analytics in…Supply chain risk management and artificial intelligence: state of the art and future research directions (2018)Supply chain risk management …Disruption mitigation and recovery in supply chains using portfolio approach (2018)Disruption mitigation and rec…Pricing and sourcing strategies for competing retailers in supply chains under disruption risk (2017)Pricing and sourcing strategi…Big Data Analytics in Operations Management (2017)Big Data Analytics in Operati…Integrated supply, production and distribution scheduling under disruption risks (2015)Integrated supply, production…A Model of Duopoly Suggesting a Theory of Entry Barriers (1979)Managing Disruption Risks in Supply Chains (2005)On the Value of Mitigation and Contingency Strategies for Managing Supply Chain Disruption Risks (2006)Low-Certainty-Need (LCN) supply chains: a new perspective in managing disruption risks and resilience (2018)When risks need attention: adoption of green supply chain initiatives in the pharmaceutical industry (2018)Sustainable supply chain management towards disruption and organizational ambidexterity: A data driven analysis (2020)Business Intelligence and Analytics: From Big Data to Big Impact (2012)Data Science, Predictive Analytics, and Big Data: A Revolution That Will Transform Supply Chain Design and Management (2013)How ‘big data’ can make big impact: Findings from a systematic review and a longitudinal case study (2015)Viable supply chain model: integrating agility, resilience and sustainability perspectives—lessons from and thinking beyond the COVID-19 pandemic (2020)Managerial Perspectives on Risk and Risk Taking (1987)Building the Resilient Supply Chain (2004)The journal coverage of Web of Science and Scopus: a comparative analysis (2015)COVID-19 pandemic related supply chain studies: A systematic review (2021)The Severity of Supply Chain Disruptions: Design Characteristics and Mitigation Capabilities (2007)The impact of digital technology and Industry 4.0 on the ripple effect and supply chain risk analytics (2018)Investigating the emerging COVID-19 research trends in the field of business and management: A bibliometric analysis approach (2020)Predicting the impacts of epidemic outbreaks on global supply chains: A simulation-based analysis on the coronavirus outbreak (COVID-19/SARS-CoV-2) case (2020)Big data: The next frontier for innovation, competition, and productivity (2011)Beyond the hype: Big data concepts, methods, and analytics (2014)Big Data in operations and supply chain management: a systematic literature review and future research agenda (2021)Big Data Analytics in Supply Chain Management: A Systematic Literature Review and Research Directions (2022)Big data analytics-artificial intelligence and sustainable performance through green supply chain practices in manufacturing firms of a developing country (2024)Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology (1989)Firm Resources and Sustained Competitive Advantage (1991)Firm resources and sustained competitive advantage (2004)Costs of resilience and disruptions in supply chain network design models: A review and future research directions (2021)Food retail supply chain resilience and the COVID-19 pandemic: A digital twin-based impact analysis and improvement directions (2021)Supply Chain Viability and the COVID-19 pandemic: a conceptual and formal generalisation of four major adaptation strategies (2021)Multi-Criteria Inventory Classification Using a New Method of Evaluation Based on Distance from Average Solution (EDAS) (2015)Artificial intelligence-driven risk management for enhancing supply chain agility: A deep-learning-based dual-stage PLS-SEM-ANN analysis (2022)The role of artificial intelligence in supply chain management: mapping the territory (2022)Impact of supply chain digitalization on supply chain resilience and performance: A multi-mediation model (2023)A New Status Index Derived from Sociometric Analysis (1953)Supply networks and complex adaptive systems: control versus emergence (2001)A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 (2020)From natural language to simulations: applying AI to automate simulation modelling of logistics systems (2023)Intelligent digital twin (iDT) for supply chain stress-testing, resilience, and viability (2023)Artificial intelligence in supply chain management: A systematic literature review of empirical studies and research directions (2024)Supply chain risk management: a literature review (2015)A review of explainable artificial intelligence in supply chain management using neurosymbolic approaches (2023)Artificial neural networks in supply chain management, a review (2023)Intelligent Supply Chain Management: A Systematic Literature Review on Artificial Intelligence Contributions (2025)A review on reinforcement learning algorithms and applications in supply chain management (2022)Dynamic digital capabilities and supply chain resilience: The role of government effectiveness (2023)
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References

  • 2020Viability of intertwined supply networks: extending the supply chain resilience angles towards survivability. A position paper motivated by COVID-19 outbreak2,420 cited
  • 2018Supply chain risk management and artificial intelligence: state of the art and future research directions1,155 cited
  • 2017Big Data Analytics in Operations Management1,023 cited
  • 2021Building supply-chain resilience: an artificial intelligence-based technique and decision-making framework448 cited
  • 2021Digital Supply Chain Management and Technology to Enhance Resilience by Building and Using End-to-End Visibility During the COVID-19 Pandemic388 cited
  • 2020Role of Big Data Analytics in supply chain management: current trends and future perspectives264 cited
  • 2021Supply chain viability: conceptualization, measurement, and nomological validation241 cited
  • 2021A machine learning approach for predicting hidden links in supply chain with graph neural networks198 cited
  • 2022Towards knowledge graph reasoning for supply chain risk management using graph neural networks160 cited
  • 2017Pricing and sourcing strategies for competing retailers in supply chains under disruption risk158 cited
  • 2021Introduction to Supply Chain Resilience157 cited
  • 2018Disruption mitigation and recovery in supply chains using portfolio approach136 cited
  • 2021A supply chain disruption recovery strategy considering product change under COVID-19136 cited

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  • 2015Integrated supply, production and distribution scheduling under disruption risks111 cited
  • 2022A multi-stage supply chain disruption mitigation strategy considering product life cycle during COVID-1941 cited
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