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

22 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

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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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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

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