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Cited by 453

The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.

Radical Innovation across Nations: The Preeminence of Corporate Culture

Tellis, Gerard J., Prabhu, Jaideep C., Chandy, Rajesh K.·2009·Journal of Marketing

Abstract

Radical innovation is an important driver of the growth, success, and wealth of firms and nations. Because of its importance, authors across various disciplines have proposed many theories about the drivers of such innovation, including government policy and labor, capital, and culture at the national level. The authors contrast these theories with one based on the corporate culture of the firm. They test their theory using survey and archival data from 759 firms across 17 major economies of the world. The results suggest the following: First, among the factors studied, corporate culture is the strongest driver of radical innovation across nations; culture consists of three attitudes and three practices. Second, the commercialization of radical innovations translates into a firm's financial performance; it is a stronger predictor of financial performance than other popular measures, such as patents. The authors discuss the implications of these findings for research and practice.

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Metadata

Authors
Tellis, G. J., Prabhu, J. C., & Chandy, R. K.
Venue
Journal of Marketing
Published
2009-01
Volume
73
Issue
1
Pages
3-23
ISSN
  • 0022-2429 (ISSN-L)
  • 1547-7185
OpenAlex
W4244530874
Cited by
453
References
13
FWCI
20.23
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Radical Innovation across Nations: The Preeminence of Corporate Culture. https://app.cochat.ai/papers/10.1509/jmkg.73.1.003
The paper
Tellis, G. J., Prabhu, J. C., & Chandy, R. K. (2009). Radical Innovation across Nations: The Preeminence of Corporate Culture. Journal of Marketing. https://doi.org/10.1509/jmkg.73.1.003

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.