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

Kaisa Still, J. Huhtamäki, M.G. Russell, N. Rubens

    Research output: Contribution to journalArticleScientificpeer-review

    24 Citations (Scopus)

    Abstract

    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
    Number of pages23
    JournalInternational Journal of Technology Management
    Volume66
    Issue number2-3
    DOIs
    Publication statusPublished - 2014
    MoE publication typeA1 Journal article-refereed

    Fingerprint

    data network
    Ecosystems
    visualization
    Visualization
    Innovation
    innovation
    Electric network analysis
    network analysis
    Ecosystem
    social network
    leader
    interpretation
    evaluation

    Keywords

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

    Cite this

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    title = "Insights for orchestrating innovation ecosystems: The case of EIT ICT Labs and data-driven network visualizations",
    abstract = "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.",
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    author = "Kaisa Still and J. Huhtam{\"a}ki and M.G. Russell and N. Rubens",
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    Insights for orchestrating innovation ecosystems : The case of EIT ICT Labs and data-driven network visualizations. / Still, Kaisa; Huhtamäki, J.; Russell, M.G.; Rubens, N.

    In: International Journal of Technology Management, Vol. 66, No. 2-3, 2014, p. 243-265.

    Research output: Contribution to journalArticleScientificpeer-review

    TY - JOUR

    T1 - Insights for orchestrating innovation ecosystems

    T2 - The case of EIT ICT Labs and data-driven network visualizations

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    AU - Huhtamäki, J.

    AU - Russell, M.G.

    AU - Rubens, N.

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    AB - 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.

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