Big data analytics in logistics and supply chain management: Certain investigations for research and applications

@article{Wang2016BigDA,
  title={Big data analytics in logistics and supply chain management: Certain investigations for research and applications},
  author={Gang Wang and A. Gunasekaran and E. Ngai and T. Papadopoulos},
  journal={International Journal of Production Economics},
  year={2016},
  volume={176},
  pages={98-110}
}
The amount of data produced and communicated over the Internet is significantly increasing, thereby creating challenges for the organizations that would like to reap the benefits from analyzing this massive influx of big data. This is because big data can provide unique insights into, inter alia, market trends, customer buying patterns, and maintenance cycles, as well as into ways of lowering costs and enabling more targeted business decisions. Realizing the importance of big data business… Expand

Figures and Tables from this paper

A Review on Data Analytics for Supply Chain Management: A Case study
A note on big data analytics capability development in supply chain
Big data analytics in supply chain management between 2010 and 2016: Insights to industries
...
1
2
3
4
5
...

References

SHOWING 1-10 OF 241 REFERENCES
Supply chain analytics
Business model canvas perspective on big data applications
The impact of business analytics on supply chain performance
A multicriteria logistics-outsourcing decision making using the analytic hierarchy process
Enhancing the Demand Planning Process with POS Forecasting
Business Intelligence and Analytics: From Big Data to Big Impact
...
1
2
3
4
5
...