• DocumentCode
    2346054
  • Title

    Optimal Strategy of Service Recovery for On-line Shops: Based on Infinitely Repeated Game

  • Author

    Fang, Yong

  • Author_Institution
    Sch. of Manage., Chongqing Jiaotong Univ., Chongqing, China
  • fYear
    2011
  • fDate
    15-19 April 2011
  • Firstpage
    672
  • Lastpage
    676
  • Abstract
    Service optimization in e-commerce is an important research field of service science. In which, service failures are unavoidable for on-line shops because of their particularities. Certain deals being applied to win the customers satisfactory when service failures happen can benefit on-line shops to be more competitive. In order to explore the optimal service recovery strategies of online shops, models of single-stage game, two-stage game and infinitely repeated game are used in this paper. Theoretical results show that service recovery is not the best choice for any online shops in one-term transaction, while the optimum compensation coefficient of these shops is proportional to the value of goods sold and the discount factor, and inversely proportional to their probability having no failures and their expected disutility to customers, in repeated transaction. These results are in good agreement with the real life.
  • Keywords
    customer satisfaction; customer services; electronic commerce; game theory; optimisation; retail data processing; customer satisfaction; customer service failure; e-commerce; infinitely repeated game; online shops; optimal service recovery strategy; probability; service optimization; service science; Biological system modeling; Electronic commerce; Games; Industries; Optimization; Probability distribution; infinitely repeatead gameg; on-line shopping; service recovery;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Sciences and Optimization (CSO), 2011 Fourth International Joint Conference on
  • Conference_Location
    Yunnan
  • Print_ISBN
    978-1-4244-9712-6
  • Electronic_ISBN
    978-0-7695-4335-2
  • Type

    conf

  • DOI
    10.1109/CSO.2011.191
  • Filename
    5957749