• Share
  • Email
  • Embed
  • Like
  • Save
  • Private Content
Visualizing an Open Innovation Platform: The structure and dynamics of Demola :: MindTrek 2013
 

Visualizing an Open Innovation Platform: The structure and dynamics of Demola :: MindTrek 2013

on

  • 944 views

Visualizing an Open Innovation Platform: The structure and dynamics of Demola ...

Visualizing an Open Innovation Platform: The structure and dynamics of Demola
Jukka Huhtamäki, Ville Luotonen, Ville Kairamo, Kaisa Still and Martha G. Russell
Presentation at Academic MindTrek 2013

Statistics

Views

Total Views
944
Views on SlideShare
912
Embed Views
32

Actions

Likes
0
Downloads
1
Comments
0

1 Embed 32

https://twitter.com 32

Accessibility

Categories

Upload Details

Uploaded via as Microsoft PowerPoint

Usage Rights

© All Rights Reserved

Report content

Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
  • Full Name Full Name Comment goes here.
    Are you sure you want to
    Your message goes here
    Processing…
Post Comment
Edit your comment

    Visualizing an Open Innovation Platform: The structure and dynamics of Demola :: MindTrek 2013 Visualizing an Open Innovation Platform: The structure and dynamics of Demola :: MindTrek 2013 Presentation Transcript

    • Visualizing an Open Innovation Platform: The structure and dynamics of Demola Huhtamäki, Luotonen, Kairamo, Still, Russell TUT // New Factory // VTT // Stanford AcademicMindTrek 2013: "Making Sense of Converging Media”
    • In this presentation • Case context description: what is Demola? • Challenges in measuring Demola& open innovation • Use case examples • Method: data-driven network animation • Results • Discussion • Critique • Wrap up and future work
    • What is Demola? • Open innovation platform & ecosystem engager established in 2008 in Tampere • By 2013, 86 companies and 1200 students from 3 universities have participated in 250+ projects • The Demola network is expanding internationally • This study focuses in Demola Tampere
    • Open innovation platform & ecosystem engager established in 2008 in Tampere By 2013, 86 companies and 1200 students from 3 universities have participated in 250+ projects The Demola network is expanding internationally; this study focuses in Demola Tampere
    • Challenges in measuring Demola …and open innovation in general: • Tradition: A linear view on innovation; • Measuring inputs (money) and outputs (patents, products, new companies); • Survey-based methods, aggregate measures How does one measure the performance of an ecosystem engager? Still, K., Huhtamäki, J., Russell, M. & Rubens, N. 2012. Paradigm shift in innovation indicators—from analog to digital. Proceedings of the 5th ISPIM Innovation Forum, 9-12 December, Seoul, Korea.
    • Use case examples Who wants to measure? Why do they want to measure? What will the do with the measurement insights? Policy makers Interested in the impact that Demola has had to the surrounding ecosystem Evaluate the utility of the platform for future investments and the applicability of the approach Company representatives Utility of Demolaengament Decide whether to engage or not;Select an approach suitable for their portfolio Demola operators Activity in general; Companies with changing (increasing/decreasing) Demola engagement; Ecosystem Structure GeneralDemola introductions, marketing & sales; Demola key area development University students Reviewing opportunities that participating in a Demola project would open Decide whether to participate or not University decision- makers Impact, new developments in the ecosystem Add initiatives for students to get involved International actors Impact, engagement, transformation To evaluate the utility of the process for deciding the applicability of the approach
    • Method: data-driven network analysis (& action research) (Hansen et al., 2009) Project Detail Example Project Id Project 115 Name Koukkuniemi 2020 Started 2010-05-04 Ended 2010-10-31 Status Completed Collaboration Partner City of Tampere Type of Partner Public Project Domain Non-profit Location Tampere Key Areas well-being, knowledge management, regional studies Project Team Members uta, uta, tut, tut
    • Result 1: Project network Nodes represent projects and companies Company nodes are light green; other colors indicate cluster membership Node size shows its betweenness value Force-driven layout
    • Result 2: Project domain network Nodes represent project domains Nodes are connected through domain co- occurence Colors show cluster membership Node size shows its betweenness
    • Result 3: Project sphere animation
    • Discussion • Technical challenges exist when using internally collected data for network visualization and animation • Visualization development challenges data- collection procedures and can add value to existing data • Demola operators find value particularly in the animation of the project sphere; international collaborators have also expressed an interest in them
    • Critique • Method? • Results? • Validation? • NAV model vs. visual analytics
    • Acknowledgements & thank you Time for your comments and questions. Jukka Huhtamäki <jukka.huhtamaki @tut.fi> Ville Luotonen Ville Kairamo Kaisa Still Martha G. Russell Acknowledgements Ville Ilkkala, Meanfish Ltd, supported animation development. HeikkiIlvespakka took care of exporting the data from the Demola platform