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The Dynamics of the Adoption of Product and Process Innovations in Organizations

Damanpour, Fariborz, Gopalakrishnan, Shanthi·2001·Journal of Management Studies

Abstract

While many researchers have fruitfully explored the patterns of adoption of product and process innovations across industries, few have studied these same patterns within individual firms. In this study we address this issue, examining the dynamics that govern the adoption of product and process innovations at the firm level over time. We examine questions such as: Which type of innovation is more readily adopted? Does the adoption of one type of innovation lead or lag the adoption of the other type? And, would the pattern of adoption of innovation types have an effect on organizational performance? Using data on the innovations introduced between 1982 and 1993 by a sample of 101 commercial banks in the United States, we find that: (1) product innovations are adopted at a greater rate and speed than process innovations; (2) a product–process pattern of adoption is more likely than a process–product pattern; (3) the adoption of product innovations is positively associated with the adoption of process innovations; and (4) high‐performance banks adopt product and process innovations more evenly than low‐performance banks.

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Metadata

Authors
Damanpour, F., & Gopalakrishnan, S.
Venue
Journal of Management Studies
Publisher
Wiley
Published
2001-01
Volume
38
Issue
1
Pages
45-65
ISSN
  • 0022-2380 (ISSN-L)
  • 1467-6486
OpenAlex
W3122671427
Cited by
1,031
References
0
FWCI
10.52
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The Dynamics of the Adoption of Product and Process Innovations in Organizations. https://app.cochat.ai/papers/10.1111/1467-6486.00227
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Damanpour, F., & Gopalakrishnan, S. (2001). The Dynamics of the Adoption of Product and Process Innovations in Organizations. Journal of Management Studies. https://doi.org/10.1111/1467-6486.00227

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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.