Management Review

›› 2012, Vol. 24 ›› Issue (3): 108-114.

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Research on the Formation Mechanism of Service Recovery Paradox

Li Jun1，2，4 , Huang Anqiang3, Zhang Lingling1 and Shi Yong 1,2   

  1. (1.Management School of Graduate University of Chinese Academy of Sciences, Beijing 100190;2.Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing 100190;3.School of Economy and Management of Behang University, Beijing 100091; 4.Yingdataihe Property Insurance Co., LTD., 100005 Beijing)
  • Received:2012-09-26 Revised:2012-09-26 Online:2012-03-25 Published:2012-09-27

Abstract: This paper designs a method of evaluating association rule expectedness and applies it to the new association rule mining algorithm which is called Association Rule Mining Based on Unexpectedness. This new algorithm has two advantages: first, this algorithm can effectively screen those redundant and useless rules; second, this algorithm is able to add new association rules into knowledge base to accumulate and reuse knowledge. This paper validates the efficiency of the algorithm by a test of a data set of commodity, and then analyzes the use of association rules with a feedback pattern.

Key words: association rule, expectedness, product promotion