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Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility
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Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility (2019)Digital Supply Chain Twins: Managing the …Empirical investigation of data analytics capability and organizational flexibility as complements to supply chain resilience (2019)Empirical investigation of da…The impact of digital technology and Industry 4.0 on the ripple effect and supply chain risk analytics (2018)The impact of digital technol…Supply chain risk management and artificial intelligence: state of the art and future research directions (2018)Supply chain risk management …Ripple effect in the supply chain: an analysis and recent literature (2017)Ripple effect in the supply c…Literature review on disruption recovery in the supply chain (2017)Literature review on disrupti…Big data analytics in supply chain management: A state-of-the-art literature review (2017)Big data analytics in supply …Big Data Analytics in Operations Management (2017)Big Data Analytics in Operati…The role of Big Data in explaining disaster resilience in supply chains for sustainability (2016)The role of Big Data in expla…The digitalization of retailing: an exploratory framework (2016)The digitalization of retaili…Big data and predictive analytics for supply chain and organizational performance (2016)Big data and predictive analy…How Smart, Connected Products Are Transforming Companies (2015)How Smart, Connected Products…How ‘big data’ can make big impact: Findings from a systematic review and a longitudinal case study (2015)How ‘big data’ can make big i…Analytics for an Online Retailer: Demand Forecasting and Price Optimization (2015)Analytics for an Online Retai…The Ripple effect in supply chains: trade-off ‘efficiency-flexibility-resilience’ in disruption management (2013)The Ripple effect in supply c…Additive manufacturing in the spare parts supply chain (2013)Additive manufacturing in the…International Journal of Production Research (1962)International Journal of Prod…End-to-end supply chain resilience management using deep learning, survival analysis, and explainable artificial intelligence (2024)End-to-end supply chain resil…The impact of using digital technologies on supply chain resilience and robustness: the role of memory under the covid-19 outbreak (2023)The impact of using digital t…From natural language to simulations: applying AI to automate simulation modelling of logistics systems (2023)From natural language to simu…Can industry 5.0 technologies overcome supply chain disruptions?—a perspective study on pandemics, war, and climate change issues (2023)Can industry 5.0 technologies…Towards knowledge graph reasoning for supply chain risk management using graph neural networks (2022)Towards knowledge graph reaso…Investigating the relationship between digital technologies, supply chain integration and firm resilience in the context of COVID-19 (2022)Investigating the relationshi…Future of artificial intelligence and its influence on supply chain risk management – A systematic review (2022)Future of artificial intellig…Understanding product returns: A systematic literature review using machine learning and bibliometric analysis (2021)Understanding product returns…Supply chain viability in the context of COVID-19 pandemic in small and medium-sized enterprises: implications for sustainable development goals (2021)Supply chain viability in the…Supply Chain Disruption Risk Management with Blockchain: A Dynamic Literature Review (2021)Supply Chain Disruption Risk …Impact of COVID-19 on the Customer End of Retail Supply Chains: A Big Data Analysis of Consumer Satisfaction (2021)Impact of COVID-19 on the Cus…A machine learning approach for predicting hidden links in supply chain with graph neural networks (2021)A machine learning approach f…Mitigating ripple effect in supply networks: the effect of trust and topology on resilience (2020)Mitigating ripple effect in s…Digital supplier selection reinforcing supply chain quality management systems to enhance firm's performance (2020)Digital supplier selection re…Integrated detection of disruption scenarios, the ripple effect dispersal and recovery paths in supply chains (2019)Integrated detection of disru…Building resilience and managing post-disruption supply chain recovery: Lessons from the information and communication technology industry (2019)Building resilience and manag…Case Study Research: Design and Methods (1984)Big data: the management revolution. (2012)Business Intelligence and Analytics: From Big Data to Big Impact (2012)Big data analytics and firm performance: Effects of dynamic capabilities (2016)A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 (2020)Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology (1989)Firm Resources and Sustained Competitive Advantage (1991)Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives (1999)Green innovation and organizational performance: The influence of big data and the moderating role of management commitment and HR practices (2018)Supply Chain Management: Strategy, Planning and Operations (2000)Supply Chain Management: Strategy, Planning, and Operation (2003)Perspectives in supply chain risk management (2006)A supervised machine learning approach to data-driven simulation of resilient supplier selection in digital manufacturing (2019)Trends and applications of resilience analytics in supply chain modeling: systematic literature review in the context of the COVID-19 pandemic (2020)Supply chain disruptions and resilience: a major review and future research agenda (2021)Reverse logistics and closed-loop supply chain: A comprehensive review to explore the future (2014)OR-methods for coping with the ripple effect in supply chains during COVID-19 pandemic: Managerial insights and research implications (2020)Two perspectives on supply chain resilience (2021)Data Science, Predictive Analytics, and Big Data: A Revolution That Will Transform Supply Chain Design and Management (2013)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)Viable supply chain model: integrating agility, resilience and sustainability perspectives—lessons from and thinking beyond the COVID-19 pandemic (2020)Managing Risk To Avoid Supply-Chain Breakdown (2004)Viability of intertwined supply networks: extending the supply chain resilience angles towards survivability. A position paper motivated by COVID-19 outbreak (2020)Building the Resilient Supply Chain (2004)Understanding the concept of supply chain resilience (2009)Role of institutional pressures and resources in the adoption of big data analytics powered artificial intelligence, sustainable manufacturing practices and circular economy capabilities (2020)Artificial intelligence-driven innovation for enhancing supply chain resilience and performance under the effect of supply chain dynamism: an empirical investigation (2021)COVID-19 pandemic related supply chain studies: A systematic review (2021)Evaluating Structural Equation Models with Unobservable Variables and Measurement Error (1981)Common method biases in behavioral research: A critical review of the literature and recommended remedies. (2003)Blockchain technology for enhancing swift-trust, collaboration and resilience within a humanitarian supply chain setting (2020)Impacts of epidemic outbreaks on supply chains: mapping a research agenda amid the COVID-19 pandemic through a structured literature review (2020)Digital Innovation Management: Reinventing Innovation Management Research in a Digital World (2017)Digitalization and its influence on business model innovation (2018)Defining digital transformation: Results from expert interviews (2019)A systematic review on drivers, barriers, and practices towards circular economy: a supply chain perspective (2018)
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References

  • 1962International Journal of Production Research2,111 cited
  • 2018The impact of digital technology and Industry 4.0 on the ripple effect and supply chain risk analytics2,054 cited
  • 2015How ‘big data’ can make big impact: Findings from a systematic review and a longitudinal case study1,796 cited
  • 2015How Smart, Connected Products Are Transforming Companies1,282 cited
  • 2016Big data and predictive analytics for supply chain and organizational performance1,145 cited
  • 2018Supply chain risk management and artificial intelligence: state of the art and future research directions1,024 cited
  • 2017Big Data Analytics in Operations Management1,023 cited
  • 2019Empirical investigation of data analytics capability and organizational flexibility as complements to supply chain resilience956 cited
  • 2017Ripple effect in the supply chain: an analysis and recent literature907 cited
  • 2017Literature review on disruption recovery in the supply chain698 cited
  • 2013The Ripple effect in supply chains: trade-off ‘efficiency-flexibility-resilience’ in disruption management696 cited
  • 2013Additive manufacturing in the spare parts supply chain687 cited
  • 2016The digitalization of retailing: an exploratory framework663 cited
  • 2016The role of Big Data in explaining disaster resilience in supply chains for sustainability

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648 cited
  • 2017Big data analytics in supply chain management: A state-of-the-art literature review567 cited
  • 2015Analytics for an Online Retailer: Demand Forecasting and Price Optimization542 cited
  • Cited by

    • 2022Future of artificial intelligence and its influence on supply chain risk management – A systematic review241 cited
    • 2021A machine learning approach for predicting hidden links in supply chain with graph neural networks198 cited
    • 2019Building resilience and managing post-disruption supply chain recovery: Lessons from the information and communication technology industry180 cited
    • 2023From natural language to simulations: applying AI to automate simulation modelling of logistics systems174 cited
    • 2022Investigating the relationship between digital technologies, supply chain integration and firm resilience in the context of COVID-19172 cited
    • 2022Towards knowledge graph reasoning for supply chain risk management using graph neural networks160 cited
    • 2020Digital supplier selection reinforcing supply chain quality management systems to enhance firm's performance142 cited
    • 2023The impact of using digital technologies on supply chain resilience and robustness: the role of memory under the covid-19 outbreak125 cited
    • 2019Integrated detection of disruption scenarios, the ripple effect dispersal and recovery paths in supply chains124 cited
    • 2021Supply Chain Disruption Risk Management with Blockchain: A Dynamic Literature Review123 cited
    • 2021Impact of COVID-19 on the Customer End of Retail Supply Chains: A Big Data Analysis of Consumer Satisfaction119 cited
    • 2023Can industry 5.0 technologies overcome supply chain disruptions?—a perspective study on pandemics, war, and climate change issues115 cited
    • 2021Supply chain viability in the context of COVID-19 pandemic in small and medium-sized enterprises: implications for sustainable development goals88 cited
    • 2021Understanding product returns: A systematic literature review using machine learning and bibliometric analysis84 cited
    • 2024End-to-end supply chain resilience management using deep learning, survival analysis, and explainable artificial intelligence83 cited
    • 2020Mitigating ripple effect in supply networks: the effect of trust and topology on resilience79 cited