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Cited by 475

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

Creative Synthesis: Exploring the Process of Extraordinary Group Creativity

Harvey, Sarah·2014·Academy of Management Review

Abstract

This article provides insight into how some groups achieve extraordinary levels of creativity by reconsidering the collective process through which new ideas develop. Previous research has been premised on a model in which idea generation stimulated by divergent input increases the variance in ideas a group generates and therefore increases the chance that one of the group's ideas will be a radical, breakthrough creative product. In contrast, I present a dialectical model in which the integration of group members' perspectives (which I label creative synthesis) is the foundation for new ideas. I propose that the process of creative synthesis improves the chance that each of a group's ideas is a breakthrough. I elaborate the process facilitators of creative synthesis and the implications of the dialectical model for understanding extraordinary group creativity. Creative synthesis provides an alternative way for groups to combine their cognitive, social, and environmental resources into extraordinary output.

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Metadata

Authors
Harvey, S.
Venue
Academy of Management Review
Published
2014-07
Volume
39
Issue
3
Pages
324-343
ISSN
  • 0363-7425 (ISSN-L)
  • 1930-3807
OpenAlex
W2028079448
Cited by
475
References
15
FWCI
41.49
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Creative Synthesis: Exploring the Process of Extraordinary Group Creativity. https://app.cochat.ai/papers/10.5465/amr.2012.0224
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Harvey, S. (2014). Creative Synthesis: Exploring the Process of Extraordinary Group Creativity. Academy of Management Review. https://doi.org/10.5465/amr.2012.0224

Data sources

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.