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Re-inventing collectivism? Using innovation collectives to create and grow new technology firms PowerPoint PPT Presentation


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David Hudson Sprott School of Business, Carleton University, Ottawa, ON, Canada Stoyan Tanev Institute of Technology Innovation Integrative Innovation Management Unit University of Southern Denmark Odense, Denmark. Re-inventing collectivism? Using innovation collectives

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Re-inventing collectivism? Using innovation collectives to create and grow new technology firms

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David HudsonSprott School of Business, Carleton University, Ottawa, ON, CanadaStoyan TanevInstitute of Technology Innovation Integrative Innovation Management Unit University of Southern DenmarkOdense, Denmark

Re-inventing collectivism?

Using innovation collectives

to create and grow new technology firms


Introduction

  • Summary of lessons learned from action research program resulting in a model with 10 hypotheses examining university spin-off efficiency.

  • Formation of academic spin-off is conceptualized to be embedded in a collective that includes entrepreneurs and those who help them transform their ideas into ventures.

  • Ten factors organized into two constructs

    • idea-venture path

    • collective structure

  • The two constructs are identified as determinants of academic spin-off efficiency.


Objective

  • Examining the factors that affect academic spin-off efficiency.

  • Action research program including the launching and operation of five collectives that support startup formation over a nine-year period:

    • Lead to Win 2002 (business creation)

    • Talent First Network 2002-2006 (OS tech commercialization)

    • Lead to Win 2009+ (business creation)

    • Coral CEA 2010+ (Communications Enabled Applications)

    • 1000 KOTS 2011+ (Keystone of the Shelf startups)

  • All five collectives associated with the Technology Innovation Management program at Carleton U


Action research context

  • Student entrepreneurs engage into collectives for the purpose of transforming their ideas into ventures along a specific idea-spin off path.

  • A collective is comprised of

    • student entrepreneurs, academics, mentors

    • individuals who participate in user involvement initiatives

    • personnel who work for economic development organizations

    • providers of incubation services and risk capital

    • company managers.

  • Each student entrepreneur leads a self-organizing team, contributes specific domain knowledge and professional network ties, and interacts with other members of the collective.


Research model

Idea spin off path

  • Product or process

    • Distinctiveness of offer / operations

    • Fit with system level opportunity

    • Proper use of OS technology

  • Learning and acting costs

  • Ties with external groups

    • # of external groups

    • Strength of ties

Spin-off efficiency

  • Cost

  • Time

Collective structure

  • Diversity

    • Knowledge

    • Payoff horizon

  • Stakeholder involvement initiatives

  • Reputation


Path-related factors - I

  • Distinctiveness

    Hypothesis 1: The greater the distinctiveness of a venture’s offer or operational process, the higher the probability of academic spin-off efficiency.

  • Fit with system level opportunity

    Hypothesis 2: The greater the fit of a venture’s offer to a system level opportunity being carried out by the collective, the higher the probability of academic spin-off efficiency.

  • Use of open source technology

    Hypothesis 3: The greater the extent of proper use of open source technology, the higher the probability of academic spin-off efficiency.


Path-related factors - II

  • Learning and acting costs

    Hypothesis 4: The lower the cost of learning from other entrepreneurs and venture stakeholders, the higher the probability of academic spin-off efficiency.

  • Ties with external groups

    Hypothesis 5: The greater the number of groups that an entrepreneur can access through ties with other members of the collective, the higher the probability of academic spin-off efficiency.

  • Tie strength

    Hypothesis 6: The stronger the ties between the entrepreneur and members of the collective, the higher the probability of academic spin-off efficiency.


Collective -related factors - I

  • Knowledge diversity

    Hypothesis 7: The greater the knowledge diversity of the collective, the higher the probability of academic spin-off efficiency.

  • “Time-to-payoff” diversity

    Hypothesis 8: The greater the time-to-payoff diversity of the collective, the higher the probability of academic spin-off efficiency.


Collective -related factors - II

  • Stakeholder interaction

    Hypothesis 9: The greater the number of stakeholder involvement initiatives in which an entrepreneur can participate to shape and harden his opportunity, the higher the probability of academic spin-off efficiency.

  • Reputation

    Hypothesis 10: The stronger the reputation of the collective, the higher the probability of academic spin-off efficiency.


Conclusion

  • Highlighting the importance of the structure of the collective in which the development of an academic spin-off occurs

    • identifying the collective-related factors expected to increase academic spin-off efficiency

  • Examining the time and cost efficiency over all the phases of the development of an academic spin-off, not just the later phases

  • Focusing on the results of action research carried out over a nine-year period

    • operating five collectives that focused on the creation of successful ventures


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