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Investment decision-making and coordination of a three-stage supply chain considering Data Company in the Big Data era

  • Big Data Analytics in Operations & Supply Chain Management
  • Published:
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Abstract

In the Big Data era, Data Company as the Big Data information (BDI) supplier should be included in a supply chain. To research the investment decision-making problems of BDI and its effects on supply chain coordination, a three-stage supply chain with one manufacturer, one retailer, and one Data Company was chosen. Meanwhile, considering the manufacturer contained the internal BDI and the external BDI, four benefit models about BDI investment were proposed and analyzed in decentralized and centralized supply chains. Meanwhile, a revenue sharing contract was used to coordinate the decentralized supply chain after investing in BDI. Findings: (1) the Big Data investment threshold of the Data Company was determined by the cost improvement coefficient, meanwhile, Data Company’s benefit was influenced by the consumer preference information conversion coefficient. (2) Whether the manufacturer was suitable to invest in BDI, it was influenced by the cost improvement coefficient. (3) When revenue sharing coefficient could meet a certain range, the revenue sharing contract could make the supply chain coordinate. Moreover, the benefits of supply chain members were same after coordination.

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Acknowledgements

The authors thank the editors and anonymous referees who commented on this article. The authors also thank Shu Ping Yi for his valuable comments and suggestions. This research was supported by the Youth Science and Technology Talents Project of Chongqing (No. cstc2014kjrc-qnrc00003).

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  1. Economics and Management College, Henan Agricultural University, NongYe Road 63, Zhengzhou, Henan, China

    Pan Liu & Shu-ping Yi

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  1. Pan Liu
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Correspondence to Pan Liu.

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Liu, P., Yi, Sp. Investment decision-making and coordination of a three-stage supply chain considering Data Company in the Big Data era. Ann Oper Res 270, 255–271 (2018). https://doi.org/10.1007/s10479-018-2783-5

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  • DOI: https://doi.org/10.1007/s10479-018-2783-5

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