A social appraisal mechanism for online purchase decision support in the micro-blogosphere

Yung-Ming Li*, Cheng Yang Lai

*Corresponding author for this work

Research output: Contribution to journalArticle

23 Scopus citations

Abstract

Owing to the plentiful participation of knowledgeable users, an online social network could be seen as a large group of experts that support the decisions of online users. Collective opinions solicited from friends are largely beneficial for online purchase support and can create significant opportunities for sales. In this paper, a social appraisal mechanism composed using the methodologies of social companionship analysis, collective opinion analysis, and consensus decision analysis is proposed for the online users of the micro-blogosphere. The proposed mechanism can successfully summarize collective opinions and expedite the decision-making process that characterizes users' purchasing behaviors.

Original languageEnglish
Pages (from-to)190-205
Number of pages16
JournalDecision Support Systems
Volume59
Issue number1
DOIs
StatePublished - 1 Mar 2014

Keywords

  • Intuitionistic fuzzy set
  • Online purchasing
  • Social appraisal support
  • Social networks
  • TOPSIS

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