The DOI matches its Crossref record; 172 of the 172 references it cites were found in a registry or an index.
Innovation Speed: A Conceptual Model of Context, Antecedents, and Outcomes
Abstract
There is a growing recognition that innovation speed is important to a firm's creating and sustaining competitive advantage amidst rapidly changing business environments. However, there has been little theoretical advancement or model building regarding when innovation speed is appropriate, what factors speed up innovations, and how differences in speed affect project outcomes. In this article, we organize and integrate the innovation speed literature, develop a conceptual framework of innovation speed, and offer researchable propositions relating to the need for and antecedents and outcomes of innovation speed. Specifically, we argue that innovation speed (a) is most appropriate in environments characterized by competitive intensity, technological and market dynamism, and low regulatory restrictiveness; (b) can be positively or negatively affected by strategic-orientation factors and organizational-capability factors; and (c) has an influence on development costs, product quality, and ultimately project ...
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Adams, R., Bessant, J., & Phelps, R. (2006) · International Journal of Management Reviews · doi:10.1111/j.1468-2370.2006.00119.x · Cited by 1,369
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Koufteros, X., Vonderembse, M., & Jayaram, J. (2005) · Decision Sciences · doi:10.1111/j.1540-5915.2005.00067.x · Cited by 855
Metadata
- Authors
- Kessler, E. H., & Chakrabarti, A. K.
- Venue
- The Academy of Management Review
- Publisher
- Academy of Management
- Published
- 1996-10
- Volume
- 21
- Issue
- 4
- Pages
- 1143
- ISSN
- 0363-7425 (ISSN-L)
- OpenAlex
- W2121391934
- Cited by
- 847
- References
- 172
- FWCI
- 22.03
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
