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Governments fund corporate-startup collaborations to boost innovation and job growth. This study explores how to better evaluate these initiatives using theory-driven methods for improved policy-making.

Keywords:
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Area of Science:

  • Innovation Management
  • Public Policy Evaluation
  • Entrepreneurship Studies

Background:

  • Governments are promoting innovation ecosystems to stimulate economic growth and job creation.
  • Corporate-startup collaborations are increasingly supported to foster scaling startups and incumbent renewal.
  • Evaluating the impact of government-funded initiatives in this area presents significant challenges.

Purpose of the Study:

  • To understand current government evaluation practices for corporate-startup collaboration initiatives.
  • To explore how theory-driven and realist evaluation approaches can enhance these assessments.
  • To develop an improved evaluation framework for policymakers.

Main Methods:

  • Explorative study based on empirical data.
  • Analysis of initiatives from the Swedish innovation agency, Vinnova.
  • Application of theory-driven and realist evaluation principles.

Main Results:

  • Current evaluation methods for government-funded collaborations are often insufficient.
  • Theory-driven and realist approaches offer a more nuanced understanding of initiative outcomes.
  • The study identifies areas for improvement in policy intervention evaluation.

Conclusions:

  • Existing evaluation practices need enhancement for government-funded corporate-startup collaborations.
  • Adopting theory-driven and realist evaluation methods can lead to more effective policy interventions.
  • A proposed framework aids policymakers in evaluating and learning from innovation initiatives.