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Cited by 390

The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.

Social networks, personal values, and creativity: Evidence for curvilinear and interaction effects.

Zhou, Jing, Shin, Shung Jae, Brass, Daniel J., Choi, Jaepil, Zhang, Zhi-Xue·2009·Journal of Applied Psychology

Abstract

Taking an interactional perspective on creativity, the authors examined the influence of social networks and conformity value on employees' creativity. They theorized and found a curvilinear relationship between number of weak ties and creativity such that employees exhibited greater creativity when their number of weak ties was at intermediate levels rather than at lower or higher levels. In addition, employees' conformity value moderated the curvilinear relationship between number of weak ties and creativity such that employees exhibited greater creativity at intermediate levels of number of weak ties when conformity was low than when it was high. A proper match between personal values and network ties is critical for understanding creativity.

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Crossref · 10.1037/a0016285

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Metadata

Authors
Zhou, J., Shin, S. J., Brass, D. J., Choi, J., & Zhang, Z.-X.
Venue
Journal of Applied Psychology
Published
2009
Volume
94
Issue
6
Pages
1544-1552
ISSN
  • 0021-9010 (ISSN-L)
  • 1939-1854
OpenAlex
W1974449287
Cited by
390
References
7
FWCI
16.87
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Social networks, personal values, and creativity: Evidence for curvilinear and interaction effects. https://app.cochat.ai/papers/10.1037/a0016285
The paper
Zhou, J., Shin, S. J., Brass, D. J., Choi, J., & Zhang, Z.-X. (2009). Social networks, personal values, and creativity: Evidence for curvilinear and interaction effects. Journal of Applied Psychology. https://doi.org/10.1037/a0016285

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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.