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The DOI matches its Crossref record; 63 of the 63 references it cites were found in a registry or an index.

A Cross-Cultural Approach to Understanding Entrepreneurial Intention

Open access
Moriano, Juan A., Gorgievski, Marjan, Laguna, Mariola, Stephan, Ute, Zarafshani, Kiumars·2012·Journal of Career Development

Abstract

The current research aims to shed light on the role of culture in the formation of career intentions. It draws on the Theory of Planned Behavior (TPB; Ajzen), which has been widely employed to predict intentions, including entrepreneurial career intentions, but past research has almost exclusively been conducted in “Western” countries. The current research specifically explores the extent to which both the strength of relationships of TPB predictors with entrepreneurial career intentions and the TPB predictors themselves are invariant across cultures. The study compares six very different countries (Germany, India, Iran, Poland, Spain, and the Netherlands), drawing on an overall sample of 1,074 students and their assessments of entrepreneurial career intentions. Results support culture universal effects of attitudes and perceived behavioral control (self-efficacy) on entrepreneurial career intentions but cultural variation in the effects of subjective norm.

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Crossref · 10.1177/0894845310384481

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Metadata

Authors
Moriano, J. A., Gorgievski, M., Laguna, M., Stephan, U., & Zarafshani, K.
Venue
Journal of Career Development
Published
2011-01-06
Volume
39
Issue
2
Pages
162-185
ISSN
  • 0894-8453 (ISSN-L)
  • 1556-0856
OpenAlex
W2031248502
Cited by
708
References
63
FWCI
31.75
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: A Cross-Cultural Approach to Understanding Entrepreneurial Intention. https://app.cochat.ai/papers/10.1177/0894845310384481
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Moriano, J. A., Gorgievski, M., Laguna, M., Stephan, U., & Zarafshani, K. (2012). A Cross-Cultural Approach to Understanding Entrepreneurial Intention. Journal of Career Development. https://doi.org/10.1177/0894845310384481

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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.