Kaisa Still, VTT and Jukka Huhtamäki, TUT. Presented at Understanding the wealth-creating potential of relationships :: Kredible.net workshop, October 2013, Stanford University.
http://kredible.net/in/second-kredible-net-workshop-stanford-university/
Understanding the wealth-creating potential of relationships :: Kredible.net workshop, October 2013, Stanford University
1. Kredible.net workshop, Stanford Oct 2014:
Understanding how knowledge and trust, online collaboration, roles, and credibility emerge in
social media
Understanding the wealth-creating
potential of relationships:
beyond the pretty pictures
based on ”fluff” of the Internet
Dr Kaisa Still, VTT Technical Research Centre of Finland
Jukka Huhtamäki, Tampere University of Technology
2. Background- we are connected
Company&
Publica,ons(
Patents(
Higher&&
Educa6on&
Research(project(
Acquisi,on(
Deal(
Research(project(
(((((((((((((((((((((((((Alliance(
Company&
People&
•
•
Employee((((Execu,ve(
Advisor((((Founder(
Investor((((Referrer(
Investment(
Angel(
Financing&
3+ years of exploring ecosystemic nature of innovation & the role of
relationships as conduits for talent, information and financial
resources (conference papers and journal articles)
Case studies of innovation ecosystems
Using social network analysis (SNA) and network visualizations to
explain the relationships/connections/interactions in a concrete/
explicit way shown to be useful and valuable
3. IMPORTANCE OF LINKAGES
Recognizing the sources for
transfers of knowledge and technology
“The innovative activities of a firm
partly depend on the variety and
structure of its links to sources of
information, knowledge,
technologies, practices and human
and financial resources.”
4. Relational capital
Traditional approaches very limited in their power or explaining the
wealth-creating potential of collaboration, which we think needs to
be made explicit with relationships, connections and their
interactions.
6. OUR DATA-DRIVEN APPROACH
For bringing out insights
on the networked
innovation:
The skeleton of the
ecosystem, the roles of
individual actors
Still, K. Huhtamäki, J., Russell, M., Basole, R. & Rubens, N.
2013. Networks of innovation relationships: multiscopic
views on Finland. Proceedings of XXIV ISPIM Conference,
June 16-19, Helsinki, Finland.
7. Our approach: processes and
toolchains (cf. NAV model)
(1)
Relational
data
(2)
(3)
SNA metrics
Visualizations
Degree
Betweenness centrality
…
Eigenvector centrality
Closeness centrality?
Information centrality?
(Hansen et al., 2009)
8. OTHER EXAMPLES OF
SHOWING CONNECTIONS
Connections of Twitter-followers
Connections between
innovation ecosystems
Still, K., Huhtamäki, J., Russell, M. G. &
Rubens, N. 2012. Transforming Innovation
Ecosystems Through Network Orchestration:
Case EIT ICT Labs. Proceedings of the XXIII
ISPIM Conference – Action for Innovation:
Innovating from Experience, June 17-20, 2012,
Barcelona, Spain.
Connections through
projects
Huhtamäki, J., Still, K., Isomursu, M., Russell, M. G. &
Rubens, N. 2012. Networks of Growth: Case Young
Innovative Companies in Finland. Proceedings of the
7th European Conference on Innovation and
Entrepreneurship, September 20-21, 2012, Santarem,
Portugal. Santerem, Portugal.
Alumni connections
Rubens, N., Russell, M.G., Perez, R., Huhtamäki,
J., Still, K., Kaplan, D. & Okamoto, T. 2011.Alumni
Network Analysis. In Global engineering education
conference (educon), 2011, IEEE,Amman, Jordan,
2011, 606-611.
Connections through citations in
publications
Still, K., Huhtamäki, J. & Martha Russell. 2013. Relational Capital
and Social Capital: one or two Fields of Research? Proceedings of
International Conference on Intellectual Capital and Knowledge
Tangible vs. intangiblephenomenonLimited data vs. big dataSingle metrics vs. fluid, compositemetrics
Digital platforms for collaboration and co-creation produce massive amounts of digital traces on people and their social behavior, as company founders, entrepreneurs, investors, journalists, policy makers and customers share information, discuss and communicate about their needs, experiences and opinions using social media of “classical” measurements, such as size, density, number of components, degree, betweenness centrality and clustering co-efficient) visualizations that enable “seeing” or “revealing” the context. SNA Degree: Change in the degree is reflective of the number of new connections a firm has gained or established, is the simplest metric for node centrality-- gains in degree indicate new collaboration venues and access to resourcesBetweenness centrality: Change in betweenness centrality measure is reflective of the positional prominence of an actor in a network; shows that it has a connecting role as bridge between the different parts of the overall network-- gains in betweenness centrality indicate becoming a key collaborator in its network, allowing for access to novel resources