Insights for orchestrating innovation ecosystems: The case of EIT ICT Labs and data-driven network visualizations

Kaisa Still, Jukka Huhtamäki, Martha G. Russell, Neil Rubens

    Research output: Contribution to journalArticleScientificpeer-review

    68 Citations (Scopus)


    This paper explores opportunities for supporting the orchestration of innovation ecosystems, hence contributing to a fundamental capability in the networked world. We present analysis, evaluation and interpretation toward the objective of decision support and insights for transforming innovation ecosystems with a case study of EIT ICT Labs, a major initiative intended to turn Europe into a global leader in ICT innovation. Towards this, we use a data-driven, relationship-based and network centric approach to operationalise the 'innovation ecosystems transformation framework'. Our results indicate that with coordinated and continuously improved use of visual and quantitative social network analysis, special characteristics, significant actors and connections in the innovation ecosystem can be revealed to develop new insights. We conclude that the IETF transformation framework can be used to develop shared vision and to support the orchestration of innovation ecosystem transformations.
    Original languageEnglish
    Pages (from-to)243-265
    JournalInternational Journal of Technology Management
    Issue number2-3
    Publication statusPublished - 2014
    MoE publication typeA1 Journal article-refereed


    • innovation ecosystems
    • social networks
    • technology management
    • transformation
    • data-driven
    • network visualisation


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