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Big data analytics and application for logistics and supply chain management
12 references·16 citing·49 second hop
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this work references cited by second hop

References

  • 2014Reverse logistics and closed-loop supply chain: A comprehensive review to explore the future1,968 cited
  • 2016Big data analytics in logistics and supply chain management: Certain investigations for research and applications1,544 cited
  • 2013Data Science, Predictive Analytics, and Big Data: A Revolution That Will Transform Supply Chain Design and Management1,518 cited
  • 2014Toward Scalable Systems for Big Data Analytics: A Technology Tutorial1,098 cited
  • 2012A fuzzy multi criteria approach for measuring sustainability performance of a supplier based on triple bottom line approach1,042 cited
  • 2015How the Use of Big Data Analytics Affects Value Creation in Supply Chain Management828 cited
  • 2016Big Data for supply chain management in the service and manufacturing sectors: Challenges, opportunities, and future perspectives590 cited
  • 2015The value of Big Data in servitization520 cited
  • 2017Understanding big data analytics capabilities in supply chain management: Unravelling the issues, challenges and implications for practice515 cited
  • 2015Data Science, Predictive Analytics, and Big Data in Supply Chain Management: Current State and Future Potential493 cited
  • 2015Insights from hashtag #supplychain and Twitter Analytics: Considering Twitter and Twitter data for supply chain practice and research467 cited
  • 2015Harvesting big data to enhance supply chain innovation capabilities: An analytic infrastructure based on deduction graph423 cited

Cited by

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  • 2020A decision support system for demand management in healthcare supply chains considering the epidemic outbreaks: A case study of coronavirus disease 2019 (COVID-19)640 cited
  • 2020Predictive big data analytics for supply chain demand forecasting: methods, applications, and research opportunities505 cited
  • 2019The mean-variance approach for global supply chain risk analysis with air logistics in the blockchain technology era443 cited
  • 2018Technological challenges of green innovation and sustainable resource management with large scale data429 cited
  • 2020Digitally-enabled sustainable supply chains in the 21st century: A review and a research agenda334 cited
  • 2020Role of Big Data Analytics in supply chain management: current trends and future perspectives264 cited
  • 2020Big Data Analytics as a mediator in Lean, Agile, Resilient, and Green (LARG) practices effects on sustainable supply chains243 cited
  • 2018A human-centric perspective exploring the readiness towards smart warehousing: The case of a large retail distribution warehouse223 cited
  • 2021Roles of Innovation Leadership on Using Big Data Analytics to Establish Resilient Healthcare Supply Chains to Combat the COVID-19 Pandemic: A Multimethodological Study198 cited
  • 2021Robust network design for sustainable-resilient reverse logistics network using big data: A case study of end-of-life vehicles161 cited
  • 2020Iot based laundry services: an application of big data analytics, intelligent logistics management, and machine learning techniques146 cited
  • 2023Data science and big data analytics: a systematic review of methodologies used in the supply chain and logistics research141 cited
  • 2021Artificial Intelligence and Information System Resilience to Cope With Supply Chain Disruption131 cited
  • 2020Internet-of-things enabled supply chain planning and coordination with big data services: Certain theoretic implications114 cited
  • 2021Extenuating operational risks through digital transformation of agri-food supply chains109 cited
  • 2021Drivers of implementing Big Data Analytics in food supply chains for transition to a circular economy and sustainable operations management97 cited