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Circular dairy supply chain management through Internet of Things-enabled technologies
16 references·0 citing·58 second hopsampled
Circular dairy supply chain management through Internet of Things-enabled technologies (2022)Circular dairy supply chain management th…Mitigate risks in perishable food supply chains: Learning from COVID-19 (2021)Mitigate risks in perishable …Introducing an application of an industry 4.0 solution for circular supply chain management (2021)Introducing an application of…Predictive big data analytics for supply chain demand forecasting: methods, applications, and research opportunities (2020)Predictive big data analytics…On the sustainable perishable food supply chain network design: A dairy products case to achieve sustainable development goals (2020)On the sustainable perishable…Effects of the entropy weight on TOPSIS (2020)Effects of the entropy weight…Big data analytics capability and decision making performance in emerging market firms: The role of contractual and relational governance mechanisms (2020)Big data analytics capability…Artificial intelligence in supply chain management: A systematic literature review (2020)Artificial intelligence in su…An integrated location-routing-inventory model for sustainable design of a perishable products supply chain network (2020)An integrated location-routin…A systematic literature review of supply chain decision making supported by the Internet of Things and Big Data Analytics (2020)A systematic literature revie…Linking big data analytics and operational sustainability practices for sustainable business management (2019)Linking big data analytics an…The emerging big data analytics and IoT in supply chain management: a systematic review (2018)The emerging big data analyti…Sustainable tire closed-loop supply chain network design: Hybrid metaheuristic algorithms for large-scale networks (2018)Sustainable tire closed-loop …Barriers to effective circular supply chain management in a developing country context (2018)Barriers to effective circula…Big data applications in operations/supply-chain management: A literature review (2016)Big data applications in oper…The moderating role of contextual factors on quality management practices (2011)The moderating role of contex…SELECTION OF RATIONAL DISPUTE RESOLUTION METHOD BY APPLYING NEW STEP‐WISE WEIGHT ASSESSMENT RATIO ANALYSIS (SWARA) (2010)SELECTION OF RATIONAL DISPUTE…Organization and environment (1967)Exploration and Exploitation in Organizational Learning (1991)Structural Equation Modeling: Concepts, Issues, and Applications. 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(1988)CRITICAL QUESTIONS FOR BIG DATA (2012)Big data analytics and firm performance: Effects of dynamic capabilities (2016)The role of digital innovation in knowledge management systems: A systematic literature review (2020)Towards a circular economy: An emerging economies context (2020)The impact of big data analytics and artificial intelligence on green supply chain process integration and hospital environmental performance (2021)Applications of case study research (1993)Energy consumption, income, and carbon emissions in the United States (2006)Facility location and supply chain management – A review (2008)Optimization models for supply chains under risk, uncertainty, and resilience: A state-of-the-art review and future research directions (2021)Two hybrid meta-heuristic algorithms for a dual-channel closed-loop supply chain network design problem in the tire industry under uncertainty (2021)Attaining sustainable development goals (SDGs) through supply chain practices and business strategies: A systematic review with bibliometric and network analyses (2022)Perspectives in supply chain risk management (2006)Application of machine learning techniques for supply chain demand forecasting (2007)Big data analytics in logistics and supply chain management: Certain investigations for research and applications (2016)At the Epicenter of COVID-19–the Tragic Failure of the Global Supply Chain for Medical Supplies (2020)A new key performance indicator model for demand forecasting in inventory management considering supply chain reliability and seasonality (2023)Predictive Analytics and Machine Learning for Real-Time Supply Chain Risk Mitigation and Agility (2023)Fuzzy sets (1965)Qualitative Data Analysis: An Expanded Sourcebook (1994)Fuzzy sets (1996)Artificial intelligence and machine learning in finance: Identifying foundations, themes, and research clusters from bibliometric analysis (2021)Artificial intelligence applications in supply chain management (2021)Artificial intelligence for supply chain resilience: learning from Covid-19 (2021)The Analytic Hierarchy Process (1985)Best-worst multi-criteria decision-making method (2014)PT-TODIM Method for Probabilistic Linguistic MAGDM and Application to Industrial Control System Security Supplier Selection (2021)Assessment of red tide risk by integrating CRITIC weight method, TOPSIS-ASSETS method, and Monte Carlo simulation (2022)The coupling and coordination degree of urban resilience system: A case study of the Chengdu–Chongqing urban agglomeration (2023)
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References

  • 2010SELECTION OF RATIONAL DISPUTE RESOLUTION METHOD BY APPLYING NEW STEP‐WISE WEIGHT ASSESSMENT RATIO ANALYSIS (SWARA)1,566 cited
  • 2020Artificial intelligence in supply chain management: A systematic literature review1,015 cited
  • 2018Barriers to effective circular supply chain management in a developing country context612 cited
  • 2020Effects of the entropy weight on TOPSIS565 cited
  • 2020Predictive big data analytics for supply chain demand forecasting: methods, applications, and research opportunities505 cited
  • 2016Big data applications in operations/supply-chain management: A literature review401 cited
  • 2019Linking big data analytics and operational sustainability practices for sustainable business management381 cited
  • 2011The moderating role of contextual factors on quality management practices300 cited
  • 2020On the sustainable perishable food supply chain network design: A dairy products case to achieve sustainable development goals291 cited
  • 2018Sustainable tire closed-loop supply chain network design: Hybrid metaheuristic algorithms for large-scale networks273 cited
  • 2020Big data analytics capability and decision making performance in emerging market firms: The role of contractual and relational governance mechanisms243 cited
  • 2021Mitigate risks in perishable food supply chains: Learning from COVID-19243 cited
  • 2020An integrated location-routing-inventory model for sustainable design of a perishable products supply chain network

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228 cited
  • 2021Introducing an application of an industry 4.0 solution for circular supply chain management218 cited
  • 2020A systematic literature review of supply chain decision making supported by the Internet of Things and Big Data Analytics217 cited
  • 2018The emerging big data analytics and IoT in supply chain management: a systematic review202 cited
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