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Cited by 435

The DOI matches its Crossref record; 119 of the 119 references it cites were found in a registry or an index.

Past Success and Creativity over Time: A Study of Inventors in the Hard Disk Drive Industry

Audia, Pino G., Goncalo, Jack A.·2007·Management Science

Abstract

We integrate psychological theories of individual creativity with organizational theories of exploration versus exploitation to examine the relationship between past success and creativity over time. A key prediction derived from this theoretical integration is that successful people should be more likely to generate new ideas, but these ideas will tend to be less divergent as they favor the exploitation of familiar knowledge at the expense of the exploration of new domains. This prediction departs from the often-held view that people who generate more ideas will also generate ideas that are more divergent. Analyses of patenting in the hard disk drive industry support our prediction and indicate that collaboration with other inventors and organizational norms for exploration attenuate the tendency for successful individuals to generate increasingly incremental ideas.

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Crossref · 10.1287/mnsc.1060.0593

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Metadata

Authors
Audia, P. G., & Goncalo, J. A.
Venue
Management Science
Published
2007-01
Volume
53
Issue
1
Pages
1-15
ISSN
  • 0025-1909 (ISSN-L)
  • 1526-5501
OpenAlex
W2097791328
Cited by
435
References
119
FWCI
33.46
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Past Success and Creativity over Time: A Study of Inventors in the Hard Disk Drive Industry. https://app.cochat.ai/papers/10.1287/mnsc.1060.0593
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Audia, P. G., & Goncalo, J. A. (2007). Past Success and Creativity over Time: A Study of Inventors in the Hard Disk Drive Industry. Management Science. https://doi.org/10.1287/mnsc.1060.0593

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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.