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Data Analytics in Supply Chain Management: A State-of-the-Art Literature Review
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Data Analytics in Supply Chain Management: A State-of-the-Art Literature Review (2024)Data Analytics in Supply Chain Management…Stochastic optimization of supply chain resilience under ripple effect: A COVID-19 pandemic related study (2022)Stochastic optimization of su…Modelling Supply Chain Information Collaboration Empowered with Machine Learning Technique (2021)Modelling Supply Chain Inform…Data-driven secure, resilient and sustainable supply chains: gaps, opportunities, and a new generalised data sharing and data monetisation framework (2021)Data-driven secure, resilient…Artificial intelligence applications in supply chain: A descriptive bibliometric analysis and future research directions (2021)Artificial intelligence appli…Application of Machine Learning in Supply Chain Management: A Comprehensive Overview of the Main Areas (2021)Application of Machine Learni…A Dynamic Decision Support System for Sustainable Supplier Selection in Circular Economy (2021)A Dynamic Decision Support Sy…Role of Big Data Analytics in supply chain management: current trends and future perspectives (2020)Role of Big Data Analytics in…Machine learning demand forecasting and supply chain performance (2020)Machine learning demand forec…Big Data Analytics as a mediator in Lean, Agile, Resilient, and Green (LARG) practices effects on sustainable supply chains (2020)Big Data Analytics as a media…Supply chain data analytics for predicting supplier disruptions: a case study in complex asset manufacturing (2019)Supply chain data analytics f…From Predictive to Prescriptive Analytics (2019)From Predictive to Prescripti…Big data analytics and artificial intelligence pathway to operational performance under the effects of entrepreneurial orientation and environmental dynamism: A study of manufacturing organisations (2019)Big data analytics and artifi…The emerging big data analytics and IoT in supply chain management: a systematic review (2018)The emerging big data analyti…Supply chain risk management and artificial intelligence: state of the art and future research directions (2018)Supply chain risk management …A machine learning framework for customer purchase prediction in the non-contractual setting (2018)A machine learning framework …Big data analytics in supply chain management: A state-of-the-art literature review (2017)Big data analytics in supply …A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)Big data: the management revolution. 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Predicting customers' purchase behavior using deep learning (2021)Building the Resilient Supply Chain (2004)Perspectives in supply chain risk management (2006)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)The theory of planned behavior (1991)Common method biases in behavioral research: A critical review of the literature and recommended remedies. (2003)Artificial intelligence in supply chain management: A systematic literature review (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)International Journal of Production Research (1962)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)An Experimental Application of the DELPHI Method to the Use of Experts (1963)Designing Complex Organizations (1973)Information Distortion in a Supply Chain: The Bullwhip Effect (1997)Applications of artificial intelligence and machine learning within supply chains:systematic review and future research directions (2021)AI-Driven Supply Chain Transformation in Industry 5.0: Enhancing Resilience and Sustainability (2024)Artificial intelligence in supply chain management: A systematic literature review of empirical studies and research directions (2024)Reporting Structural Equation Modeling and Confirmatory Factor Analysis Results: A Review (2006)Green supply‐chain management: A state‐of‐the‐art literature review (2007)PLS-SEM: Indeed a Silver Bullet (2011)RETRACTED: The impact of sustainable development strategy on sustainable supply chain firm performance in the digital transformation era (2021)Digital transformation, smart technologies, and eco-innovation are paving the way toward sustainable supply chain performance (2022)Role of flexibility, agility and responsiveness for sustainable supply chain resilience during COVID-19 (2022)From a literature review to a conceptual framework for sustainable supply chain management (2008)Bibliometric Methods in Management and Organization (2014)bibliometrix : An R-tool for comprehensive science mapping analysis (2017)Artificial intelligence in supply chain and operations management: a multiple case study research (2023)Influences of artificial intelligence and blockchain technology on financial resilience of supply chains (2023)Students` Perspectives on the Use of Innovative and Interactive Teaching Methods at the University of Nouakchott Al Aasriya, Mauritania: English Department as a Case Study (2021)Digital Transformation and SMART-The Analytics factor (2022)THE TRANSFORMATIONAL LEADERSHIP OF THE FOUNDING LEADERS OF THE UNITED ARAB EMIRATES: SHEIKH ZAYED BIN SULTAN AL NAHYAN AND SHEIKH RASHID BIN SAEED AL MAKTOUM (2022)
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References

  • 2018Supply chain risk management and artificial intelligence: state of the art and future research directions1,024 cited
  • 2019Big data analytics and artificial intelligence pathway to operational performance under the effects of entrepreneurial orientation and environmental dynamism: A study of manufacturing organisations885 cited
  • 2019From Predictive to Prescriptive Analytics781 cited
  • 2017Big data analytics in supply chain management: A state-of-the-art literature review567 cited
  • 2021Artificial intelligence applications in supply chain: A descriptive bibliometric analysis and future research directions369 cited
  • 2020Machine learning demand forecasting and supply chain performance305 cited
  • 2018A machine learning framework for customer purchase prediction in the non-contractual setting267 cited
  • 2020Role of Big Data Analytics in supply chain management: current trends and future perspectives264 cited
  • 2021Modelling Supply Chain Information Collaboration Empowered with Machine Learning Technique255 cited
  • 2020Big Data Analytics as a mediator in Lean, Agile, Resilient, and Green (LARG) practices effects on sustainable supply chains243 cited
  • 2021A Dynamic Decision Support System for Sustainable Supplier Selection in Circular Economy233 cited
  • 2021Application of Machine Learning in Supply Chain Management: A Comprehensive Overview of the Main Areas230 cited
  • 2022Stochastic optimization of supply chain resilience under ripple effect: A COVID-19 pandemic related study

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222 cited
  • 2019Supply chain data analytics for predicting supplier disruptions: a case study in complex asset manufacturing215 cited
  • 2021Data-driven secure, resilient and sustainable supply chains: gaps, opportunities, and a new generalised data sharing and data monetisation framework212 cited
  • 2018The emerging big data analytics and IoT in supply chain management: a systematic review202 cited
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