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Cited by 441

The DOI matches its Crossref record; 81 of the 81 references it cites were found in a registry or an index.

A Web of opportunity or the same old story? Women digital entrepreneurs and intersectionality theory

Open access
Dy, Angela Martinez, Marlow, Susan, Martin, Lee·2017·Human Relations

Abstract

This article critically analyses the manner in which intersectionality and related social positionality shape digital enterprise activities. Despite popular claims of meritocratic opportunity enactment within traditional forms of entrepreneurship, ascribed social characteristics intersect to influence the realization of entrepreneurial potential. However, it is purported that the emerging field of digital entrepreneurship may act as a ‘great leveller’ owing to perceived lower barriers to entry, disembodiment of the entrepreneurial actor and the absence of visible markers of disadvantage online. Using an interpretivist approach, we analyse empirical evidence that reveals how the privileges and disadvantages arising from intersecting social positions of gender, race and class status are experienced by UK women digital entrepreneurs. This analysis challenges the notion that the internet is a neutral platform for entrepreneurship and supports our thesis that offline inequality, in the form of marked bodies, social positionality and associated resource constraints, is produced and reproduced in the online environment.

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Metadata

Authors
Dy, A. M., Marlow, S., & Martin, L.
Venue
Human Relations
Published
2016-07-20
Volume
70
Issue
3
Pages
286-311
ISSN
  • 0018-7267 (ISSN-L)
  • 1741-282X
OpenAlex
W2396288568
Cited by
441
References
81
FWCI
53.57
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: A Web of opportunity or the same old story? Women digital entrepreneurs and intersectionality theory. https://app.cochat.ai/papers/10.1177/0018726716650730
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Dy, A. M., Marlow, S., & Martin, L. (2017). A Web of opportunity or the same old story? Women digital entrepreneurs and intersectionality theory. Human Relations. https://doi.org/10.1177/0018726716650730

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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.