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7th International Venture Capital Forum, 28-29 June 2006 Incubating the Future

7th International Venture Capital Forum, 28-29 June 2006 Incubating the Future. Data. Information. Knowledge. Ubiquitous. Product. Solution. Innovation. Ecosystems. Competition. Cooperation. Collaboration. Coopetition. 50’s – 70’s. 70’s – 90’s. 90’s – 2000’s. Today?.

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7th International Venture Capital Forum, 28-29 June 2006 Incubating the Future

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  1. 7th International Venture Capital Forum, 28-29 June 2006 Incubating the Future

  2. Data Information Knowledge Ubiquitous Product Solution Innovation Ecosystems Competition Cooperation Collaboration Coopetition 50’s – 70’s 70’s – 90’s 90’s – 2000’s Today? The Economic Evolution towards the Networked Society

  3. ICT for Business Ecosystems [Source: Gerald Santucci, European Commission Directorate-General Information Society Unit D5: ICT for Business, Global Forum 2004]

  4. Bilateral Investment Treaties, 2003 Source: UNCTAD

  5. 0 10 20 30 40 50 60 70 80 Formal Non-formal Formal and Non-formal SME cooperation in Europe, % of SMEs F I N L A N D N O R W A Y I C E L A N D D E N M A R K Italy S W E D E N Luxembourg Liechtenstein United kingdom Switzerland Austria Greece France Belgium Netherlands Ireland Spain G E R M A N Y Portugal Source: ENSR Enterprise Survey 2003

  6. Specialisation, clusters and linkages: cooperation and competition

  7. Dynamics of innovation and cluster development

  8. Female and male entrepreneurial activity Source: Scientific Analysis of Entrepreneurship and SMEs (SCALE) paper N200510, 2006.

  9. R&D expenditure in relation to GDP, 2003 Source: OECD MSTI 2005

  10. Abandoning the linear model

  11. Instruments Multiple Single Actors Single Multiple From research needs to innovation system bottlenecks RTDI Programmes Innovation Systems

  12. From evaluations as events to evaluations as learning processes Evaluations produce data by which corrections of the innovation system analysis and programme plans continuously are made Innovation System Analysis = hypothesis Programme Management ISA Monitoring/Evaluation Programme execution Time ”Timing matters”

  13. High-tech venture capital as a percentage of total venture capital investment, 2000-2003 (1) 2000-2002, (2) 1998-2001 Source: OECD, Science Technology and Industry Scoreboard, 2005

  14. Science Developm. Launching Expansion Established technology Lack of seed funding Gap Public Private

  15. Science Park agenda? • Mainly incubation? • Creation and growth in the Science Park? • Serve firms created through the Science Park? • Serve ”firms at large” in local environment? • Test-bed/lab for developing programmes for incubation and skills upgrading?

  16. SMEs & Skills Upgrading • Lack of skilled labour has been the main constraint on business performance of European SME:s in the last two years (ENSR Enterprise Survey 2002) • Increasing numbers of SME:s are in the process of outsourcing and off-shoring parts of their production activities. • SME:s are bestowed with limited skills acquired through formal education as well as restricted planning capabilities managing the internationalisation process.

  17. Contradictory incentives: • Challenge for SME:s to both identify and capture the gains from skills upgrading. • & • Challenge for Universities to address specific needs that are compatible with SME:s requirements • Bridging the supply of general training by universities and the demand for idiosyncratic skills on the part of SME:s through specific programmes and more effective mobilisation of external professional service providers • Science Parks & Incubators can help match supply and demand in regard to skill upgrading

  18. Boundary crossing • Between the idea & firm creation • => University based-knowledge & technology, building on the specialisation of the university while promoting linkages, bridging and connecting to stakeholders in firm creation • Between the actors, firms & the wider network in which the actors are situated. • => bridge the rise of complimentary skills • Between the local environment and outer structures • => National innovation systems

  19. Science Park Jönköping Business Growth Objective: To support continuous growth and development of technology- and knowledge intensive companies Area: Growth Development through networking and clusters Business Incubator Objective: To support the commercialization and development of new businesses Area: Development Development through business developing services and projects Business Lab Objective: To support idea generation, product and business idea development for individuals, companies, and organizations Area: Start up A networking environment between the university and the corporate sector for idea generating activities and projects

  20. Science Park Jönköping Business Growth Objective: To support continuous growth and development of technology- and knowledge intensive companies Area: Growth Development through networking and clusters Business Incubator Objective: To support the commercialization and development of new businesses Area: Development Development through business developing services and projects Business Lab Objective: To support idea generation, product and business idea development for individuals, companies, and organizations Area: Start up A networking environment between the university and the corporate sector for idea generating activities and projects

  21. Science Park Jönköping • Problem-based learning methodology • Market oriented view on entrepreneurship • An active interface between university, science park and firm population • Endorse a customer/market oriented development process • Students and researchers are encouraged to start up businesses during their studies. • (=> direct marketing to 75% of university students => 170 unique business ideas => 60-70 start ups annually => survival rate app. 70%) • Identify and strengthen emerging clusters • Hands-on, professional, individualised training (non-linear) • Business failures are accepted => learning experience • Building climate of creative meeting-places

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