Assessing the Open Innovation Outcome in Living Labs
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Abstract
This study introduces a model to assess the innovation outcome in living labs, which is a particular type of open innovation network. We propose that the outcome of open innovation activities in living labs can be assessed using a multiple linear regression model that builds on a set of empirically identified variables. Based on data from 26 living labs across four countries, we present a set of variables that can determine the conditions for co-creation in living labs and apply them in a multiple linear regression model to assess the innovation outcome of the living labs. The four pivotal variables include strategic intention, passion, knowledge and skills, and resources. All four variables have an equally positive effect on the innovation outcome. We also propose a maximum and an optimal number of participants to maintain passion in open innovation. While the paper advances scholarly research on open innovation by identifying and applying variables that impact the outcomes of innovation activities in living labs, practitioners can also apply the model to enhance innovation endeavours and targeted outcomes in living labs.
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