Publication: Business model experimentation in SMEs: the application of a dual scaling technique
Authors
Molina Castillo, Francisco José ; De Reuver, Mark ; Bouwman, Harry ; Jose G. Clavel
item.page.secondaryauthor
item.page.director
Publisher
publication.page.editor
publication.page.department
DOI
https://doi.org/10.1080/10438599.2021.1974299
item.page.type
info:eu-repo/semantics/article
Description
©2021. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/
This document is the Accepted Manuscript version of a Published Work that appeared in final form in Economics of innovation and new technology. To access the final edited and published work see https://doi.org/10.1080/10438599.2021.1974299
Abstract
Business model experimentation is an essential step for developing new
business models. While the benefits of business model experimentation
are increasingly studied, it is still poorly understood why companies
engage in business model experimentation. This paper examines,
starting from environmental turbulence reasoning, which external and
internal drivers serve as antecedents for business model
experimentation by firms that already have established business
models. We do so by making use of a unique, quantitative data set
based on a survey study among 929 European SMEs actively engaged
in business model innovation. Using Dual Scaling, a procedure to scale
categorical inputs that yields the least-squares lower-rank
approximation to the elements of our data set, we find that external
drivers relating to technological turbulence are the most important
antecedents for business model experimentation. External competitive
intensity doesn’t motivate business model experimentation. Regarding
internal drivers, strategic change, related to product innovation, is a
significant antecedent, while innovative activities are less outspoken. By
examining why companies engage in business model experimentation,
the paper contributes to understanding the antecedents of business
model innovation.
publication.page.subject
Citation
Economics of innovation and new technology
2023, VOL. 32, NO. 4
https://www.tandfonline.com/doi/full/10.1080/10438599.2021.1974299
https://www.tandfonline.com/doi/full/10.1080/10438599.2021.1974299
item.page.embargo
Collections
Ir a Estadísticas
Este ítem está sujeto a una licencia Creative Commons. http://creativecommons.org/licenses/by-nc-nd/4.0/