Creating social intelligence for product portfolio design-Reference-Cited by-同舟云学术

Creating social intelligence for product portfolio design

Published:2014-10 Issue: Volume:66 Page:123-134
ISSN:0167-9236
Container-title:Decision Support Systems
language:en
Short-container-title:Decision Support Systems

Author:

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

Funder

National Science Council of Taiwan (Republic of China)

Publisher

Elsevier BV

Subject

Information Systems and Management,Arts and Humanities (miscellaneous),Developmental and Educational Psychology,Information Systems,Management Information Systems

Reference40 articles.

1. What's buzzing in the blizzard of buzz? Automotive component isolation in social media postings;Abrahams;Decision Support Systems,2013

2. Providing product use knowledge for the design of improved product generations;Abramovici;CIRP Annals-Manufacturing Technology,2011

3. Social enterprise: through the eyes of the consumer (prepared for the National Consumer Council);Allan;Social Enterprise Journal,2005

4. Topic detection and tracking pilot study: final report;Allan,1998

5. Deriving the pricing power of product features by mining consumer reviews;Archak;Management Science,2011

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