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Delivery Efficiency and Supplier Performance Evaluation in China's E-retailing Industry

         

摘要

This paper focuses on overall and sub-process supply chain efficiency evaluation using a network slacks-based measure model and an undesirable directional distance model.Based on a case analysis of a leading Chinese B2C firm W,a two-stage supply chain structure covering procurementstock and inventory-sale management is constructed.The research shows overall supply chain inefficiency is attributable to procurement-stock conversion inefficiency.From a view of operations model,the third-party platform model is more efficient than a "shop in shop" self-operated model.However,the self-operated mode performs better in product categories such as computer & Office & digital,food & drink and healthy products due to these products' delivery characteristics and consumers' shopping habits.In the logistics selection,most e-retail players are inclined to choose the hybrid model of 3PL and self-operated logistics with the product category extension from vertical model to all-category model.These findings may help managers improve supplier-buyer relationship and strengthen supply chain management.This research offers a new explanation regarding the failure of e-retail supply chain.

著录项

  • 来源
    《系统科学与复杂性:英文版》 |2017年第2期|392-410|共19页
  • 作者单位

    Research Center on Fictitious Economy & Data Science, Chinese Academy of Sciences, Beijing 100190, China;

    School of Economics and Management, University of Chinese Academy of Sciences, Beijing 100190, China;

    Key Research Laboratory of Big Data Mining and Knowledge Management, Chinese Academy of Sciences, Beijing 100190, China;

    Research Center on Fictitious Economy & Data Science, Chinese Academy of Sciences, Beijing 100190, China;

    School of Economics and Management, University of Chinese Academy of Sciences, Beijing 100190, China;

    Key Research Laboratory of Big Data Mining and Knowledge Management, Chinese Academy of Sciences, Beijing 100190, China;

    Department of Logistics and Maritime Studies Faculty of Business, The Hong Kong Polytechnic University,Hong Kong, China;

    Research Center on Fictitious Economy & Data Science, Chinese Academy of Sciences, Beijing 100190, China;

    School of Economics and Management, University of Chinese Academy of Sciences, Beijing 100190, China;

    Key Research Laboratory of Big Data Mining and Knowledge Management, Chinese Academy of Sciences, Beijing 100190, China;

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  • 正文语种 eng
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