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

Kaisa Still, Jukka Huhtamäki, Martha G. Russell, Neil Rubens · 2014 · International Journal of Technology Management

Summary. This paper demonstrates how data-driven network visualization and social network analysis can help orchestrate innovation ecosystems. Using EIT ICT Labs as a case study, the authors reveal key actors, connections, and characteristics within Europe's ICT innovation ecosystem. Their framework enables decision-makers to develop shared vision and strategically guide ecosystem transformation through continuous visual and quantitative analysis.

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Still, K., Huhtamäki, J., Russell, M. G., & Rubens, N.. (2014). Insights for orchestrating innovation ecosystems: the case of EIT ICT Labs and data-driven network visualisations. International Journal of Technology Management. https://doi.org/10.1504/ijtm.2014.064606

@article{still-2014-insights-orchestrating-innovation-ecosystems-case,
  title   = {Insights for orchestrating innovation ecosystems: the case of EIT ICT Labs and data-driven network visualisations},
  author  = {Kaisa Still and Jukka Huhtamäki and Martha G. Russell and Neil Rubens},
  journal = {International Journal of Technology Management},
  year    = {2014},
  doi     = {10.1504/ijtm.2014.064606},
  url     = {https://doi.org/10.1504/ijtm.2014.064606}
}

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TI  - Insights for orchestrating innovation ecosystems: the case of EIT ICT Labs and data-driven network visualisations
AU  - Kaisa Still
AU  - Jukka Huhtamäki
AU  - Martha G. Russell
AU  - Neil Rubens
JO  - International Journal of Technology Management
PY  - 2014
DO  - 10.1504/ijtm.2014.064606
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Details

DOI: 10.1504/ijtm.2014.064606
Countries: European Union
Categories: innovation-networks, regional-innovation-systems, innovation-theory, general-innovation
Added: 2026-04-28