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Cited by 315

The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

Synergy effects of innovation on firm performance

Lee, Ryeowon, Lee, Jong-Ho, Garrett, Tony C.·2019·Journal of Business Research

Abstract

Abstract The synergy effects of product, process, marketing, and organizational innovation are examined with consideration of the innovativeness levels and industrial categories. This study also investigates the effect of a firm's strategic orientations, exploration and exploitation, on innovation activities. Results indicate that exploration and exploitation orientations have positive impacts on product innovation and process innovation respectively. Process innovation encourages both radical and incremental product innovation. In case of the moderating effect of marketing and organizational innovation, there are some differences between high-tech and low-tech industry. For high-tech firms, the relationship between a new product and firm performance is increased with the introduction of marketing innovation. In the case of low-tech firms, process innovation has direct and positive impacts on a firm's performance with organizational innovation. The findings show that the synergy effects of innovation exist and can be changed depending on the innovativeness levels and industrial categories.

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Metadata

Authors
Lee, R., Lee, J.-H., & Garrett, T. C.
Venue
Journal of Business Research
Publisher
Elsevier BV
Published
2019-06
Volume
99
Pages
507-515
ISSN
0148-2963 (ISSN-L)
OpenAlex
W2751743945
Cited by
315
References
6
FWCI
34.36
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Synergy effects of innovation on firm performance. https://app.cochat.ai/papers/10.1016/j.jbusres.2017.08.032
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Lee, R., Lee, J.-H., & Garrett, T. C. (2019). Synergy effects of innovation on firm performance. Journal of Business Research. https://doi.org/10.1016/j.jbusres.2017.08.032

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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.