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Cited by 376

The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.

Linking intrinsic motivation, risk taking, and employee creativity in an R&D environment

Dewett, Todd·2007·R&D Management

Abstract

Intrinsic motivation is thought to spur risk taking and creativity. Nonetheless, the relationship between common creativity antecedents and intrinsic motivation is seldom clarified and the assertion that intrinsic motivation spurs risk taking and creativity has rarely been addressed. The current study adopts an individual level of analysis and attempts to link several common creativity antecedents, intrinsic motivation, and one's willingness to take risks to employee creativity. Using survey data collected from 165 research and development personnel and their supervisors, evidence is provided showing that intrinsic motivation mediates the relationship between certain antecedents and one's willingness to take risks and that this willingness mediates the effect of intrinsic motivation on employee creativity. However, starkly different findings emerge when using subjective versus objective indicators of employee creativity, suggesting that further theoretical development is in order to explain the differences.

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Metadata

Authors
Dewett, T.
Venue
R&D Management
Publisher
Wiley
Published
2007-06
Volume
37
Issue
3
Pages
197-208
ISSN
  • 0033-6807 (ISSN-L)
  • 1467-9310
OpenAlex
W2021686685
Cited by
376
References
14
FWCI
7.51
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Linking intrinsic motivation, risk taking, and employee creativity in an R&D environment. https://app.cochat.ai/papers/10.1111/j.1467-9310.2007.00469.x
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Dewett, T. (2007). Linking intrinsic motivation, risk taking, and employee creativity in an R&D environment. R&D Management. https://doi.org/10.1111/j.1467-9310.2007.00469.x

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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.