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The Innovation Arena: A Method for Comparing Innovative Problem-Solving Across Groups
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Facilitating innovation diffusion in social networks using dynamic norms.

Lorenzo Zino1, Mengbin Ye2, Ming Cao1

  • 1Engineering and Technology Institute Groningen, University of Groningen, Nijenborgh 4, 9747 AG Groningen, The Netherlands.

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Summary

Dynamic norms, highlighting growing innovation adoption, can significantly shape collective behavior. Increased sensitivity to these norms is crucial for widespread social diffusion and innovation success.

Keywords:
coordination gamesdynamic normsinnovation diffusionnetwork dynamics

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Area of Science:

  • Social sciences
  • Network theory
  • Behavioral economics

Background:

  • Dynamic norms leverage social influence by showcasing increasing adoption trends.
  • Understanding the population-level impact of dynamic norms on innovation diffusion remains underexplored.

Purpose of the Study:

  • To develop a mathematical framework for analyzing how dynamic norms influence innovation diffusion at the population level.
  • To investigate the role of individual sensitivity to dynamic norms in collective behavior.

Main Methods:

  • Extension of a network coordination game with a probabilistic update rule reflecting dynamic norm influence.
  • Game-theoretic modeling to analyze the dynamics of innovation adoption.
  • Mathematical analysis of the impact of population sensitivity to dynamic norms.

Main Results:

  • Sensitivity to dynamic norms is a critical factor in enabling social diffusion of innovations.
  • Even minor increases in sensitivity can lower the threshold for adoption, reducing the advantage of the status quo.
  • Sufficiently high sensitivity to dynamic norms can independently guarantee successful innovation diffusion.

Conclusions:

  • Dynamic norms, particularly population sensitivity to them, are powerful drivers of collective innovation adoption.
  • The findings provide a theoretical basis for designing interventions that leverage social influence for technological and social change.
  • The model offers insights into the conditions under which innovations can achieve widespread diffusion.