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Construction of Knowledge Service Model of Guizhou Supply Chain Enterprises Based on Big Data

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  • Boren Gao

    (Guizhou University of Commerce, China)

Abstract

In the era of big data, "knowledge" scope is expanded. To realize the optimization of supply chain collaborative innovation in the era of big data, the platform of the collection, analysis, mining and application of massive data resources is needed. By analyzing the sources of big data of collaborative innovation of supply chain, a basic framework of knowledge innovation platform of Guizhou supply chain enterprises under the environment of big data is proposed. The effect of big data technology on supply chain logistics mode is analyzed, and the current situation of logistics industry modernization in Guizhou province is discussed. The mathematical model of big data processing is designed, and an example is simulated to validate the advantage of the proposed method.

Suggested Citation

  • Boren Gao, 2022. "Construction of Knowledge Service Model of Guizhou Supply Chain Enterprises Based on Big Data," International Journal of Information Systems and Supply Chain Management (IJISSCM), IGI Global, vol. 15(3), pages 1-11, July.
    • Handle: RePEc:igg:jisscm:v:15:y:2022:i:3:p:1-11
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    References listed on IDEAS

    as
    1. Huang, Ying & Porter, Alan L. & Cunningham, Scott W. & Robinson, Douglas K.R. & Liu, Jianhua & Zhu, Donghua, 2018. "A technology delivery system for characterizing the supply side of technology emergence: Illustrated for Big Data & Analytics," Technological Forecasting and Social Change, Elsevier, vol. 130(C), pages 165-176.
    2. Hong, Jiangtao & Liao, Yi & Zhang, Yibin & Yu, Zhefu, 2019. "The effect of supply chain quality management practices and capabilities on operational and innovation performance: Evidence from Chinese manufacturers," International Journal of Production Economics, Elsevier, vol. 212(C), pages 227-235.
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