Innovation intelligence: Crowdsourcing in a social network

Irina Saur-Amaral*, Arménio Rego

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)

Abstract

Our paper looks at the way innovation problems, solutions and trends are freely reflected in collective intelligence available in global initiatives and social networks. Social networks and global initiatives building on free contributions with high visibility have emerged as alternative solutions to grasp and integrate knowledge all over the world. We aim to identify types of contribution and possible effects onto organisational innovation. Our paper uses a grounded-theory approach, building from data available online, in two LinkedIn innovation groups where the author is a full member (related to Open Innovation). The main outcomes of our paper reside in better understanding the role that can be played in innovation by no-cost collective initiatives open to worldwide contributors, the type of contributors and contribution that appear in those initiatives.

Original languageEnglish
Pages (from-to)288-299
Number of pages12
JournalInternational Journal of Technology Intelligence and Planning
Volume6
Issue number3
DOIs
Publication statusPublished - Oct 2010

Keywords

  • Collective intelligence
  • Crowdsourcing
  • Cyber communication
  • Knowledge construction
  • Knowledge share
  • LinkedIn
  • Open innovation
  • Social networking
  • Social networks
  • Virtual communities

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