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A global supply chain risk management framework: An application of text-mining to identify region-specific supply chain risks
16 references·16 citing·37 second hopsampled
A global supply chain risk management framework: An application of text-mining to identify region-specific supply chain risks (2020)A global supply chain risk management fra…Supply chain risk management and artificial intelligence: state of the art and future research directions (2018)Supply chain risk management …tidytext: Text Mining and Analysis Using Tidy Data Principles in R (2016)tidytext: Text Mining and Ana…Supply chain risk management: a literature review (2015)Supply chain risk management:…A critical review on supply chain risk – Definition, measure and modeling (2014)A critical review on supply c…Integrated fuzzy multi criteria decision making method and multi-objective programming approach for supplier selection and order allocation in a green supply chain (2013)Integrated fuzzy multi criter…Data Science, Predictive Analytics, and Big Data: A Revolution That Will Transform Supply Chain Design and Management (2013)Data Science, Predictive Anal…Big Data : The Management Revolution (2013)Big Data : The Management Rev…Big data: the management revolution. (2012)Big data: the management revo…topicmodels : An R Package for Fitting Topic Models (2011)topicmodels : An R Package fo…Identifying risk issues and research advancements in supply chain risk management (2010)Identifying risk issues and r…Global supply chain risk management strategies (2008)Global supply chain risk mana…Internal and External Integration for Product Development: The Contingency Effects of Uncertainty, Equivocality, and Platform Strategy (2005)Internal and External Integra…Global supply chain design: A literature review and critique (2005)Global supply chain design: A…Managing Risk To Avoid Supply-Chain Breakdown (2004)Managing Risk To Avoid Supply…DEFINING SUPPLY CHAIN MANAGEMENT (2001)DEFINING SUPPLY CHAIN MANAGEM…Strategic production-distribution models: A critical review with emphasis on global supply chain models (1997)Strategic production-distribu…RETRACTED: COVID-19 automotive supply chain risks: A manufacturer-supplier development approach (2024)RETRACTED: COVID-19 automotiv…Mining industry risks, and future critical minerals and metals supply chain resilience in emerging markets (2024)Mining industry risks, and fu…Managerial risk data analytics applications using grey influence analysis (GINA) (2024)Managerial risk data analytic…End-to-end supply chain resilience management using deep learning, survival analysis, and explainable artificial intelligence (2024)End-to-end supply chain resil…Developing a smart green supplier risk assessment system integrating natural language processing and life cycle assessment based on AHP framework: An empirical study (2024)Developing a smart green supp…Exploring the challenges of the COVID-19 vaccine supply chain using social media analytics: A global perspective (2023)Exploring the challenges of t…Do precious metals hedge against global supply chain uncertainty? (2023)Do precious metals hedge agai…An analysis of critical factors for adopting machine learning in manufacturing supply chains (2023)An analysis of critical facto…A systematic assessment of multi‐dimensional risk factors for sustainable development in food grain supply chains: A business strategic prospective analysis (2023)A systematic assessment of mu…The role of data analytics within operational risk management: A systematic review from the financial services and energy sectors (2022)The role of data analytics wi…Supply chain risk identification: a real-time data-mining approach (2022)Supply chain risk identificat…Advanced deep learning approaches to predict supply chain risks under COVID-19 restrictions (2022)Advanced deep learning approa…Text Mining for Supply Chain Risk Management in the Apparel Industry (2021)Text Mining for Supply Chain …Development of the Concept of Circular Supply Chain Management—A Systematic Review (2021)Development of the Concept of…A stochastic model for developing speculation-postponement strategies and modularization concepts in the global supply chain with demand uncertainty (2021)A stochastic model for develo…A Novel Interval Value Extension of Picture Fuzzy Sets Into Group Decision Making: An Approach to Support Supply Chain Sustainability in Catastrophic Disruptions (2021)A Novel Interval Value Extens…Text Mining Infrastructure in R (2008)Computer-Assisted Text Analysis for Comparative Politics (2015)Applying LDA Topic Modeling in Communication Research: Toward a Valid and Reliable Methodology (2018)stm : An R Package for Structural Topic Models (2019)Supply Chain Management: Strategy, Planning and Operations (2000)The Severity of Supply Chain Disruptions: Design Characteristics and Mitigation Capabilities (2007)A Contingent Resource‐Based Perspective of Supply Chain Resilience and Robustness (2014)The bullwhip effect in supply chains (2015)The impact of digital technology and Industry 4.0 on the ripple effect and supply chain risk analytics (2018)Building the Resilient Supply Chain (2004)Managing Disruption Risks in Supply Chains (2005)Perspectives in supply chain risk management (2006)Review of quantitative methods for supply chain resilience analysis (2019)Viable supply chain model: integrating agility, resilience and sustainability perspectives—lessons from and thinking beyond the COVID-19 pandemic (2020)Competitive Strategy: Techniques for Analyzing Industries and Competitors (1980)A Model of Distributor Firm and Manufacturer Firm Working Partnerships (1990)The Commitment-Trust Theory of Relationship Marketing (1994)Supply chain collaboration: Impact on collaborative advantage and firm performance (2010)Basics of Qualitative Research: Grounded Theory Procedures and Techniques. (1992)Dynamic capabilities and strategic management (1997)Basics of qualitative research : techniques and procedures for developing grounded theory (1998)Supply chain resilience in the global financial crisis: an empirical study (2011)Ensuring Supply Chain Resilience: Development and Implementation of an Assessment Tool (2013)A review of the literature on the principles of enterprise and supply chain resilience: Major findings and directions for future research (2015)A framework of sustainable supply chain management: moving toward new theory (2008)Risk assessment and risk management: Review of recent advances on their foundation (2015)COVID-19 pandemic related supply chain studies: A systematic review (2021)Business Intelligence and Analytics: From Big Data to Big Impact (2012)Critical analysis of Big Data challenges and analytical methods (2016)A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 (2020)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)Privacy and human behavior in the age of information (2015)Big data analytics and firm performance: Effects of dynamic capabilities (2016)Digital Finance and FinTech: current research and future research directions (2017)How ‘big data’ can make big impact: Findings from a systematic review and a longitudinal case study (2015)
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References

  • 2001DEFINING SUPPLY CHAIN MANAGEMENT5,167 cited
  • 2013Big Data : The Management Revolution3,540 cited
  • 2012Big data: the management revolution.2,326 cited
  • 2004Managing Risk To Avoid Supply-Chain Breakdown1,860 cited
  • 2013Data Science, Predictive Analytics, and Big Data: A Revolution That Will Transform Supply Chain Design and Management1,518 cited
  • 2015Supply chain risk management: a literature review1,369 cited
  • 2008Global supply chain risk management strategies1,257 cited
  • 2011topicmodels : An R Package for Fitting Topic Models1,071 cited
  • 2018Supply chain risk management and artificial intelligence: state of the art and future research directions1,024 cited
  • 2010Identifying risk issues and research advancements in supply chain risk management981 cited
  • 2016tidytext: Text Mining and Analysis Using Tidy Data Principles in R947 cited
  • 2014A critical review on supply chain risk – Definition, measure and modeling887 cited
  • 2005Internal and External Integration for Product Development: The Contingency Effects of Uncertainty, Equivocality, and Platform Strategy855 cited
  • 2005Global supply chain design: A literature review and critique812 cited
  • 1997Strategic production-distribution models: A critical review with emphasis on global supply chain models

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759 cited
  • 2013Integrated fuzzy multi criteria decision making method and multi-objective programming approach for supplier selection and order allocation in a green supply chain742 cited
  • Cited by

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    • 2024End-to-end supply chain resilience management using deep learning, survival analysis, and explainable artificial intelligence83 cited
    • 2022Supply chain risk identification: a real-time data-mining approach68 cited
    • 2023Do precious metals hedge against global supply chain uncertainty?62 cited
    • 2022The role of data analytics within operational risk management: A systematic review from the financial services and energy sectors48 cited
    • 2024Mining industry risks, and future critical minerals and metals supply chain resilience in emerging markets46 cited
    • 2023A systematic assessment of multi‐dimensional risk factors for sustainable development in food grain supply chains: A business strategic prospective analysis43 cited
    • 2024Developing a smart green supplier risk assessment system integrating natural language processing and life cycle assessment based on AHP framework: An empirical study40 cited
    • 2023Exploring the challenges of the COVID-19 vaccine supply chain using social media analytics: A global perspective35 cited
    • 2021A Novel Interval Value Extension of Picture Fuzzy Sets Into Group Decision Making: An Approach to Support Supply Chain Sustainability in Catastrophic Disruptions34 cited
    • 2021Development of the Concept of Circular Supply Chain Management—A Systematic Review33 cited
    • 2024Managerial risk data analytics applications using grey influence analysis (GINA)31 cited
    • 2021Text Mining for Supply Chain Risk Management in the Apparel Industry31 cited
    • 2023An analysis of critical factors for adopting machine learning in manufacturing supply chains30 cited
    • 2021A stochastic model for developing speculation-postponement strategies and modularization concepts in the global supply chain with demand uncertainty29 cited
    • 2024RETRACTED: COVID-19 automotive supply chain risks: A manufacturer-supplier development approach28 cited