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Hybrid meta-heuristic algorithms for a supply chain network considering different carbon emission regulations using big data characteristics
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Hybrid meta-heuristic algorithms for a supply chain network considering different carbon emission regulations using big data characteristics (2021)Hybrid meta-heuristic algorithms for a su…Supply chain management in the era of circular economy: the moderating effect of big data (2020)Supply chain management in th…Supply chain risk management and artificial intelligence: state of the art and future research directions (2018)Supply chain risk management …Next-Generation Big Data Analytics: State of the Art, Challenges, and Future Research Topics (2017)Next-Generation Big Data Anal…Debating big data: A literature review on realizing value from big data (2017)Debating big data: A literatu…Big data: Dimensions, evolution, impacts, and challenges (2017)Big data: Dimensions, evoluti…Big data analytics in supply chain management: A state-of-the-art literature review (2017)Big data analytics in supply …Big data analytics in supply chain management between 2010 and 2016: Insights to industries (2017)Big data analytics in supply …Big Data Analytics in Operations Management (2017)Big Data Analytics in Operati…Big data analytics capabilities: a systematic literature review and research agenda (2017)Big data analytics capabiliti…Critical analysis of Big Data challenges and analytical methods (2016)Critical analysis of Big Data…Big data: From beginning to future (2016)Big data: From beginning to f…Big data applications in operations/supply-chain management: A literature review (2016)Big data applications in oper…Big data analytics in logistics and supply chain management: Certain investigations for research and applications (2016)Big data analytics in logisti…Big Data for Development: A Review of Promises and Challenges (2015)Big Data for Development: A R…Big data analytics: a survey (2015)Big data analytics: a surveyBeyond the hype: Big data concepts, methods, and analytics (2014)Beyond the hype: Big data con…Supply chain management under cap-and-trade regulation: A literature review and research opportunities (2024)Supply chain management under…Data Analytics in Supply Chain Management: A State-of-the-Art Literature Review (2024)Data Analytics in Supply Chai…Text mining and quantitative evaluation of China’s green consumption policies based on green consumption objects (2023)Text mining and quantitative …Enhancement the Performance of Multi-Level and Multi-Commodity in Supply Chain: A Simulation Approach (2023)Enhancement the Performance o…Analysis of the Impact of Big Data and Artificial Intelligence Technology on Supply Chain Management (2023)Analysis of the Impact of Big…An exploration into the factors influencing the implementation of big data analytics in sustainable supply chain management (2023)An exploration into the facto…Transportation planning for sustainable supply chain network using big data technology (2022)Transportation planning for s…Psychological Quality of Piano Players Based on Big Data Algorithm (2022)Psychological Quality of Pian…Optimal locations and flow allocations for aggregation hubs in supply chain networks of perishable products (2022)Optimal locations and flow al…Design of a Distribution Network in a Multi-product, Multi-period Green Supply Chain System Under Demand Uncertainty (2022)Design of a Distribution Netw…Applying a thematic analysis in identifying the role of circular economy in sustainable supply chain practices (2022)Applying a thematic analysis …A review of supply chain coordination management based on bibliometric data (2022)A review of supply chain coor…A closed-loop supply chain configuration considering environmental impacts: a self-adaptive NSGA-II algorithm (2022)A closed-loop supply chain co…A Novel Optimization Technique for Integrated Supply Chain Network in Industries - A Technical Perspective (2021)A Novel Optimization Techniqu…A new bi-objective green medicine supply chain network design under fuzzy environment: Hybrid metaheuristic algorithms (2021)A new bi-objective green medi…A cooperative game theory approach for location-routing-inventory decisions in humanitarian relief chain incorporating stochastic planning (2021)A cooperative game theory app…Business Intelligence and Analytics: From Big Data to Big Impact (2012)CRITICAL QUESTIONS FOR BIG DATA (2012)Big data: a revolution that will transform how we live, work, and think (2013)A Big Data Analytics Method for Tourist Behaviour Analysis (2016)A survey towards an integration of big data analytics to big insights for value-creation (2018)Uncertainty in big data analytics: survey, opportunities, and challenges (2019)The Presentation of Self in Everyday Life. 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References

  • 2014Beyond the hype: Big data concepts, methods, and analytics4,222 cited
  • 2016Critical analysis of Big Data challenges and analytical methods2,065 cited
  • 2016Big data analytics in logistics and supply chain management: Certain investigations for research and applications1,544 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
  • 2017Big data analytics capabilities: a systematic literature review and research agenda888 cited
  • 2017Debating big data: A literature review on realizing value from big data880 cited
  • 2015Big data analytics: a survey818 cited
  • 2015Big Data for Development: A Review of Promises and Challenges678 cited
  • 2017Big data analytics in supply chain management between 2010 and 2016: Insights to industries582 cited
  • 2017Big data analytics in supply chain management: A state-of-the-art literature review567 cited
  • 2017Big data: Dimensions, evolution, impacts, and challenges548 cited
  • 2016Big data: From beginning to future410 cited
  • 2016Big data applications in operations/supply-chain management: A literature review401 cited
  • 2020

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Supply chain management in the era of circular economy: the moderating effect of big data
384 cited
  • 2017Next-Generation Big Data Analytics: State of the Art, Challenges, and Future Research Topics366 cited
  • Cited by

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