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Cited by 928

The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.

The Psychology of Entrepreneurship

Open access
Frese, Michael, Gielnik, Michael M.·2014·Annual Review of Organizational Psychology and Organizational Behavior

Abstract

In this review of the psychology of entrepreneurship, we first present meta-analytic findings showing that personality dimensions, such as (general) self-efficacy and need for achievement, and entrepreneurial orientation are highly associated with entrepreneurship (business creation and business success). We then discuss constructs that were developed within entrepreneurship research, such as entrepreneurial alertness, business planning, financial capital as resources, and entrepreneurial orientation, and how they can be better understood by taking a psychological perspective. Next, we elaborate how traditional psychological constructs have been utilized in entrepreneurship and how this may enhance our knowledge in industrial and organizational psychology (with respect to, for example, knowledge, practical intelligence, cognitive biases, goals and visions, personal initiative, passion, and positive and negative affect). Finally, we provide an overall framework useful for the psychology of entrepreneurship, and implications for future research.

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Registry

Crossref · 10.1146/annurev-orgpsych-031413-091326

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15 of 15 references verified0 citation errors · 0 not checkable

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Metadata

Authors
Frese, M., & Gielnik, M. M.
Venue
Annual Review of Organizational Psychology and Organizational Behavior
Published
2014-03-21
Volume
1
Issue
1
Pages
413-438
ISSN
  • 2327-0608 (ISSN-L)
  • 2327-0616
OpenAlex
W2142713844
Cited by
928
References
15
FWCI
20.76
Type
journal article
Language
en
Open access
bronze

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.