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Cited by 282

The DOI matches its Crossref record; 56 of the 56 references it cites were found in a registry or an index.

Digital transformation, digital dividends and entrepreneurship: A quantitative analysis

Open access
Galindo-Martín, Miguel-Ángel, Castaño-Martínez, María-Soledad, Méndez-Picazo, María-Teresa·2019·Journal of Business Research

Abstract

The literature traditionally has focused its attention on the relationship between innovation and entrepreneurial activity. From this perspective, new innovations are accompanied by digital transformations that enhance value creation. However, it is also important to consider the effect of digital dividends on society overall as well as on entrepreneurship activity. Studies generally do not address this latter possibility. This paper analyses the theoretical and quantitative effects of digital transformation and digital dividends on entrepreneurial activity, that is, the broader developmental benefits that using these technologies brings, in the shape of digital transformation. Partial least square (PLS) estimation is used to develop an empirical estimation for the case of 29 European countries.

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Crossref · 10.1016/j.jbusres.2018.12.014

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Metadata

Authors
Galindo-Martín, M.-Á., Castaño-Martínez, M.-S., & Méndez-Picazo, M.-T.
Venue
Journal of Business Research
Publisher
Elsevier BV
Published
2019-08
Volume
101
Pages
522-527
ISSN
0148-2963 (ISSN-L)
OpenAlex
W2905404608
Cited by
282
References
56
FWCI
19.45
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Digital transformation, digital dividends and entrepreneurship: A quantitative analysis. https://app.cochat.ai/papers/10.1016/j.jbusres.2018.12.014
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Galindo-Martín, M.-Á., Castaño-Martínez, M.-S., & Méndez-Picazo, M.-T. (2019). Digital transformation, digital dividends and entrepreneurship: A quantitative analysis. Journal of Business Research. https://doi.org/10.1016/j.jbusres.2018.12.014

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.