Computer Science ›› 2016, Vol. 43 ›› Issue (Z11): 422-427.doi: 10.11896/j.issn.1002-137X.2016.11A.096

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Expert Recommendation Framework Based on Value Co-creation for Online Negative Word-of-mouth Handling

CAI Shu-qin and QIN Zhi-yong   

  • Online:2018-12-01 Published:2018-12-01

Abstract: Under circumstances of big data,online negative word-of-mouth has its unique features such as mass data and fast dissemination,and those features give enterprises many difficulties of resource shortage and directly handling blocked in “enterprise-user” processing mode.Based on value co-creation theory,by using user senerated content,this paper constructed the value co-creation model of online negative word-of-mouth handling from an overall perspective including two phrases of interaction and resource integration,and then built the model for the input resources and value benifits process from single perspective.Finally,an expert recommendation framework for value co-creation was designed.

Key words: Negative word-of-mouth,Value co-creation,Expert recommendation

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