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

Tutkimustuotosvertaisarvioitu

Standard

Insights for orchestrating innovation ecosystems: the case of EIT ICT Labs and data-driven network visualisations. / Still, Kaisa; Huhtamäki, Jukka; Russell, Martha G.; Rubens, Neil.

julkaisussa: International Journal of Technology Management, Vuosikerta 66, Nro 2/3, 2014, s. 243-265.

Tutkimustuotosvertaisarvioitu

Harvard

Still, K, Huhtamäki, J, Russell, MG & Rubens, N 2014, 'Insights for orchestrating innovation ecosystems: the case of EIT ICT Labs and data-driven network visualisations', International Journal of Technology Management, Vuosikerta. 66, Nro 2/3, Sivut 243-265. https://doi.org/10.1504/IJTM.2014.064606

APA

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, 66(2/3), 243-265. https://doi.org/10.1504/IJTM.2014.064606

Vancouver

Author

Still, Kaisa ; Huhtamäki, Jukka ; Russell, Martha G. ; Rubens, Neil. / Insights for orchestrating innovation ecosystems: the case of EIT ICT Labs and data-driven network visualisations. Julkaisussa: International Journal of Technology Management. 2014 ; Vuosikerta 66, Nro 2/3. Sivut 243-265.

Bibtex - Lataa

@article{ccab7c7f4aa043f3bfbf582d794c9bf0,
title = "Insights for orchestrating innovation ecosystems: the case of EIT ICT Labs and data-driven network visualisations",
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 datadriven, relationship-based and network centric approach to operationalize 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.",
author = "Kaisa Still and Jukka Huhtam{\"a}ki and Russell, {Martha G.} and Neil Rubens",
note = "Contribution: organisation=mat,FACT1=1<br/>Portfolio EDEND: 2014-12-31<br/>Publisher name: Inderscience Publishers",
year = "2014",
doi = "10.1504/IJTM.2014.064606",
language = "English",
volume = "66",
pages = "243--265",
journal = "International Journal of Technology Management",
issn = "0267-5730",
publisher = "Inderscience",
number = "2/3",

}

RIS (suitable for import to EndNote) - Lataa

TY - JOUR

T1 - Insights for orchestrating innovation ecosystems: the case of EIT ICT Labs and data-driven network visualisations

AU - Still, Kaisa

AU - Huhtamäki, Jukka

AU - Russell, Martha G.

AU - Rubens, Neil

N1 - Contribution: organisation=mat,FACT1=1<br/>Portfolio EDEND: 2014-12-31<br/>Publisher name: Inderscience Publishers

PY - 2014

Y1 - 2014

N2 - 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 datadriven, relationship-based and network centric approach to operationalize 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.

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 datadriven, relationship-based and network centric approach to operationalize 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.

U2 - 10.1504/IJTM.2014.064606

DO - 10.1504/IJTM.2014.064606

M3 - Article

VL - 66

SP - 243

EP - 265

JO - International Journal of Technology Management

JF - International Journal of Technology Management

SN - 0267-5730

IS - 2/3

ER -