Creating social intelligence for product portfolio design

Yung-Ming Li*, Hsuan Ming Chen, Jyh Hwa Liou, Lien Fa Lin

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

43 Scopus citations


Increasing numbers of people are using social media to express their personal experiences. Recently, these plentiful user-generated data sources have been utilized promisingly by enterprises for product creation. In this research,we propose a social intelligencemechanismthat can extract and consolidate the reviews expressed via social media and derive insights (product feature specification and feature importance) to help enterprises make decisions on developing next-generation products by analyzing the reviewers' knowledge and authority and their opinion sentiment toward the target products. The experimental results obtained using show that the proposed mechanism outperforms other benchmark approaches in market trend prediction and customer acceptance.

Original languageEnglish
Pages (from-to)123-134
Number of pages12
JournalDecision Support Systems
StatePublished - 1 Jan 2014


  • Influential experts
  • Online reviews
  • Product portfolio
  • Social creation
  • Social media

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