期刊文献+

Coopetition between B2C E-commerce Companies:Price Competition and Logistics Service Cooperation 被引量:2

原文传递
导出
摘要 This paper studies the impact of logistics cooperation in two competing companies,one of which is equipped with a self-run logistics system while the other is not.The latter outsources logistics services to a third-party logistics company before logistics cooperation,or to its competitor after logistics cooperation with the client's service quality being in proportion to and no greater than the service provider's service quality.We find that when the service provider is a price taker,logistics cooperation is beneficial to both firms only when the service quality after logistics cooperation is moderate.Interestingly,under some circumstances,the client's profit increases even when its service quality decreases after logistics cooperation because logistics cooperation eases the price competition.We also find that all-win situations in which logistics cooperation increases the firms7 profit,consumer surplus and social welfare can be achieved.Finally,when the service price can be chosen by the service provider,we propose a negotiation process in which agreement on logistics cooperation can be reached;when the firm can invest in service quality,logistics cooperation may lower the equilibrium investment level.
出处 《Journal of Systems Science and Systems Engineering》 SCIE EI CSCD 2020年第6期730-752,共23页 系统科学与系统工程学报(英文版)
基金 the National Natural Science Foundation of China(NSFC:71801096,71731006,and 71925002) the Project funded by China Postdoctoral Science Foundation under 2019M650202 the Fundamental Research Funds for the Central Universities,SCUT(x2gs/D2191820) the Project supported by GDHVPS(2017).
  • 相关文献

参考文献2

二级参考文献15

  • 1Barreto,S.,Ferreira,C.,Paixao,J.& Santos,B.S.(2007).Using clustering analysis in a capacitated location-routing problem.European Journal of Operational Research,179:968-977.
  • 2Blakeley,F.,Bozkaya,B.,Cao,B.& Hall,W.(2003).Optimizing periodic maintenance operations for Schindler Elevator Corporation.Interfaces,33:67-79.
  • 3Braysy,O.& Gendreau,M.(2005).Vehicle routing problems with time windows,part I:route construction and local search algorithms.Transportation Science,39:104-118.
  • 4Braysy,O.& Gendreau,M.(2005).Vehicle routing problems with time windows,part Ⅱ:metaheuristics.Transportation Science,39:119-139.
  • 5Dondo,R.& Cerda,J.(2007).A cluster-based optimization approach for the multi-depot heterogeneous fleet vehicle routing problem with time windows.European Journal of Operational Research,176:1478-1507.
  • 6Estivill-Castro,V.& Lee,I.(2001).Fast spatial clustering with different metrics and in the presence of obstacles.In:GIS'01,142-147,November 9-10,2001.
  • 7Fan,B.(2009).A hybrid spatial data clustering method for site selection:the data driven approach of GIS mining.Experts Systems with Applications,36:3923-3936.
  • 8Hruschka,H.& Natter,M.(1999).Comparing performance of feedforward neural nets and K-means for cluster-based market segmentation.European Journal of Operational Research,114:346-355.
  • 9Huff,D.L.(1963).A probabilistic analysis of shopping center trade areas.Land Economics,39:81-90.
  • 10Humair,S.& Willems,S.P.(2006).Optimizing strategic safety stock placement in supply chains with clusters of commonality.Operations Research,54:725-742.

共引文献6

同被引文献8

引证文献2

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部