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Achieving a just–in–time supply chain: The role of supply chain intelligence

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  • Yang, Jie
  • Xie, Hongming
  • Yu, Guangsheng
  • Liu, Mingyu

Abstract

Drawing upon three strategies of demand-driven supply chain intelligence, this study examines the effects of three factors of demand-driven supply chain intelligence, including customer knowledge management capability, knowledge sharing, and cooperation, on a JIT supply chain, which is operationalized by production planning, sourcing, and logistics. It also assesses the effect of a JIT supply chain on operational performance. Employing path analysis on the data collected from manufacturing firms, this study offers empirical evidence of the pivotal role of demand-driven supply chain intelligence in achieving a JIT supply chain and its resultant performance implications. The theoretical and practical contributions are addressed.

Suggested Citation

  • Yang, Jie & Xie, Hongming & Yu, Guangsheng & Liu, Mingyu, 2021. "Achieving a just–in–time supply chain: The role of supply chain intelligence," International Journal of Production Economics, Elsevier, vol. 231(C).
    • Handle: RePEc:eee:proeco:v:231:y:2021:i:c:s0925527320302358
    DOI: 10.1016/j.ijpe.2020.107878
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    1. Qi, Bitian & Shen, Yanbo & Xu, Tieyu, 2023. "An artificial-intelligence-enabled sustainable supply chain model for B2C E-commerce business in the international trade," Technological Forecasting and Social Change, Elsevier, vol. 191(C).

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