Power law distributions in entrepreneurship: : Implications for theory and research
By G. Crawford, Herman Aguinis, Benyamin Lichtenstein, Per Davidsson, Bill McKelvey. 2015
165 citations recorded by the source corpus.
Subfields: Management of Technology and Innovation, Management Science and Operations Research, Safety Research
View Paper: https://www.semanticscholar.org/paper/787e6ef60d93ff45aa3aead0d8cfb3771b5363cd
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Management of Technology and Innovation
- Dean A. Shepherd
- Holger Patzelt
- Jeffery S. McMullen
- Johan Wiklund
- Isabella Hatak
- S. Sarasvathy
- A. McKelvie
- David M. Townsend
In Management Science and Operations Research
- Dean A. Shepherd
- Jeffery S. McMullen
- Markku V. J. Maula
- W. Stam
- Johan Wiklund
- Isabella Hatak
- Holger Patzelt
- S. Sarasvathy
In Safety Research
- Dean A. Shepherd
- Jeffery S. McMullen
- Johan Wiklund
- Holger Patzelt
- Markku V. J. Maula
- W. Stam
- Isabella Hatak
- S. Sarasvathy
Citations in the corpus
- Mental disorders in the entrepreneurship context : When Being Different Can Be an Advantage (2018, background): “Similarly, given the need to rely on others for effective entrepreneurial functioning, perhaps those with mental disorders may belong to the minority of entrepreneurs who possess extraordinarily large networks that account for the power distribution of social ties among the entrepreneurial populatio”
- Uncertainty, Knowledge Problems, and Entrepreneurial Action (2018, background): “Such patterns suggest the need to develop new theories of entrepreneurial action and entrepreneurship (Crawford et al., 2015) across a variety of subfields within entrepreneurship such as social entrepreneurship (Dorado & Ventresca, 2013), entrepreneurial finance (Drover et al., 2017), new venture…”
- Enhancing Rigor in Quantitative Entrepreneurship Research (2019, background): “Outliers can have a large impact on the research findings, particularly when moderation or nonlinear relationships are tested, but they can also contain valuable information that contributes to forming new theoretical insights (Crawford et al., 2015).”