Over the past 30 years many authors have claimed that analogizing
has significantly positive effects for a firm's new product
development activities and for its innovation performance.
However, we have no conclusive evidence about whether or not analogizing
has any significant impact on a firm's innovation performance. What is prominently missing in the literature is a clear-cut assessment of the simple question: Does analogizing matter? Does it significantly contribute to innovation and firm performance? The extant unsystematic evidence seems to suggest this may be the case, but at the moment no strong empirical evidence is available and no convincing theoretical frameworks exist that explain why this may be the case.
Therefore, the purpose of this research project is to resolve these knowledge gaps and inconsistencies by producing theory and data that allow for a multilevel formalization and empirical test of the relationship between analogizing and innovation performance.
innovation, performance, analogy
|type||fundamental research project|
|start of project||2011|
|end of project||2012|
hierarchical linear modelling, GLLAMM
|contact||Marcus Matthias Keupp|