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Big Data—Supply Chain Management Framework for Forecasting: Data Preprocessing and Machine Learning Techniques
16 references·1 citing·51 second hop
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References

  • 2003Towards a Methodology for Developing Evidence‐Informed Management Knowledge by Means of Systematic Review15,354 cited
  • 2014Beyond the hype: Big data concepts, methods, and analytics4,222 cited
  • 1995Performance measurement system design3,257 cited
  • 1969A Theory for Record Linkage2,522 cited
  • 2006New Directions in Goal-Setting Theory2,036 cited
  • 2001Performance measures and metrics in a supply chain environment2,027 cited
  • 2006Duplicate Record Detection: A Survey1,979 cited
  • 2013Data Science, Predictive Analytics, and Big Data: A Revolution That Will Transform Supply Chain Design and Management1,518 cited
  • 2018A Comparison of ARIMA and LSTM in Forecasting Time Series1,382 cited
  • 2017The Future of Retailing1,192 cited
  • 2001Principles of Forecasting1,178 cited
  • 2003Performance Measurement in a Supply Chain547 cited
  • 2014Big Data Analytics: A Literature Review Paper483 cited
  • 1996The field matching problem: Algorithms and applications477 cited
  • 2005Information inaccuracy in inventory systems: stock loss and stockout309 cited
  • 2017Data-driven supply chain capabilities and performance: A resource-based view

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300 cited

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  • 2025Leveraging synthetic data to tackle machine learning challenges in supply chains: challenges, methods, applications, and research opportunities40 cited