Exploring the Relevance of Two-Part Models in Innovation Research: Towards a Better Understanding of Innovation Sales
@article{two-part-models-innovation-sales,
author = {Camille Pedersen and Jesper N. Wulff and Anders R. Villadsen},
title = {Exploring the Relevance of Two-Part Models in Innovation Research: Towards a Better Understanding of Innovation Sales},
journal = {International Journal of Innovation Management},
year = {2025},
volume = {29},
number = {1},
pages = {1-44},
doi = {10.1142/s1363919625500070},
}
Abstract
In empirical studies, firms’ innovation is often measured as the proportion of sales that can be attributed to new products or services. In a review of 20 years of research on innovation, we find this variable to be used in 141 studies providing a useful common ground to compare and contrast findings. We argue that two-part models are attractive when modelling innovation as they separate the decision to innovate from the amount of sales generated by innovation. Our review shows that only a minority of studies employ two-part models, most often in sub-optimal ways. We develop a two-part modelling framework that is suitable for innovation research and different from the conventional methods prevalent in econometrics. Furthermore, we provide a worked example of how it can be implemented. This paper contributes new knowledge about two-part models for innovation research and hopes to lay the ground for new theorising in the future.
See also
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- [Paper]Are You 110% Sure? Modeling of Fractions and Proportions in Strategy and Management Research
- [Book]Binary Regression Models: An Average Partial Effects Approach
- [Paper]Keeping It Within Bounds: Regression Analysis of Proportions in International Business
- [Paper]Interpreting Results From the Multinomial Logit Model: Demonstrated by Foreign Market Entry
- [Software]ginteff