Exploring Innovation Ecosystems as Networks: Four European Cases
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The document discusses innovation ecosystems as networks, presenting a novel approach to measuring them through network analysis of socially constructed data. It compares these results with traditional innovation indicators, revealing that new metrics can provide deeper insights into the system-level structure of innovation ecosystems. The authors emphasize the need for improved decision-making processes and interdisciplinary collaboration in understanding innovation across various boundaries.
Exploring Innovation Ecosystems as Networks: Four European Cases
- 1. Exploring Innovation Ecosystems as Networks: Four European Cases Jukka Huhtamäki and Neil Rubens HICSS 2016, Kauai
- 2. Innovation often takes place in the context of innovation ecosystems (Adner and Kapoor 2010, Russell et al. 2011, Autio and Thomas, 2013, Valkokari 2015) New data, tools, and questions are available for insights on latent structures within innovation ecosystems (Basole et al. 2012, Still et al. 2012) Network analysis allows analyzing the structure and structural dynamics of ecosystems of business and innovation (Russell et al. 2011, Basole et al. 2012) In this study, we present a novel approach for measuring innovation ecosystems with socially constructed data and network analysis …and contrast the results to a more traditional innovation indicator, Innovation Union Scoreboard to investigate their compatibility Introduction
- 4. La Modest Innovator - Latvia Moderate Innovator - Hungary Innovation Follower - Estonia Innovation Leader- Finland
- 5. Network analysis of socially constructed data yields into results that are comparable to traditional innovation indicators Importantly, the approach allows completely new insights into the system-level structure of the innovation ecosystem In order to fully utilize the new actor-level metrics in understanding innovation, we need equally specific output metrics for innovation performance The new views allow and indeed insist new ways to conduct decision-making in the context of innovation ecosystems Boundary specification has to be reconsidered – here we are following national boundaries even though innovation does not respect them! Conclusions
- 6. Developing means and methods to move beyond the (sometimes) superficial statistical analyses and (often) case-specific qualitative analyses …and to support interdisciplinary investigation of innovation ecosystems that seek to discover mechanisms and structures latent in innovation ecosystems, cf. critical realism in analytics (Bygstad and Munkvold 2011) Imperatively, to enable true discourse between academic research, decision-making and policy-making for innovation (and business) ecosystems (cross-sector, cross- border, cross-domain) Future work
- 7. Jukka is @jnkka @TampereUnitech Neil is @activeintel We are part of @ien_stanford This research was partly sponsored by Tekes: Finnish Funding Agency for Innovation Join the discussion