The DOI matches its Crossref record; 64 of the 64 references it cites were found in a registry or an index.
Decomposing Product Innovativeness and Its Effects on New Product Success
Abstract
Does product innovativeness affect new product success? The current research proposes that the ambiguity in findings may be due to an overly holistic conceptualization of product innovativeness that has erroneously included the concepts of product advantage and customer familiarity. This article illustrates how the same measures have often been used to assess product advantage with product innovativeness and product innovativeness with customer familiarity. These paired overlaps in measurement use are clarified in this research, which decomposes dimensions of product innovativeness along conceptual lines into distinct product innovativeness, product advantage, and customer familiarity constructs. To further support this decomposition, structural equation modeling is used to empirically test the distinctions. The measurement model supports the conceptual separation, and the path model reveals contingent effects of product innovativeness. Although product innovativeness enhances product advantage, a high level of innovativeness reduces customer familiarity, indicating that product innovativeness can be detrimental to new product success if customers are not sufficiently familiar with the nature of the new product and if innovativeness fails to improve product advantage. This exercise in metric development also reveals that after controlling for product advantage and customer familiarity, product innovativeness has no direct effect on new product profitability. This finding has strong implications for firms that mistakenly pursue innovation for its own sake. Consideration of both distribution and technical synergy as driving antecedents demonstrates how firms can still enhance new product success even if an inappropriate level of innovativeness is present. This leads to a simple but powerful two‐step approach to bringing highly innovative products to market. First, firms should only emphasize product innovativeness when it relates to the market relevant concepts of product advantage and customer familiarity. Second, existing technical and distribution abilities can be used to enhance product quality and customer understanding. Distribution channels in particular should be exploited to counter customer uncertainty toward newly introduced products.
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Cited by
Talke, K., Salomo, S., & Kock, A. (2011) · Journal of Product Innovation Management · doi:10.1111/j.1540-5885.2011.00851.x · Cited by 362
Wong, S. K. S. (2013) · Business Strategy and the Environment · doi:10.1002/bse.1746 · Cited by 356
Understanding the impact of business analytics on innovation
Duan, Y., Cao, G., & Edwards, J. S. (2020) · European Journal of Operational Research · doi:10.1016/j.ejor.2018.06.021 · Cited by 277
How social capital and knowledge affect innovation
Pérez-Luño, A., Cabello Medina, C., Carmona Lavado, A., & Cuevas Rodríguez, G. (2011) · Journal of Business Research · doi:10.1016/j.jbusres.2011.01.014 · Cited by 271
Business model innovativeness: designing a formative measure for business model innovation
Spieth, P., & Schneider, S. (2016) · Journal of Business Economics · doi:10.1007/s11573-015-0794-0 · Cited by 232
Metadata
- Authors
- Calantone, R. J., Chan, K., & Cui, A. S.
- Venue
- Journal of Product Innovation Management
- Publisher
- Wiley
- Published
- 2006-09
- Volume
- 23
- Issue
- 5
- Pages
- 408-421
- ISSN
- 0737-6782 (ISSN-L)
- 1540-5885
- OpenAlex
- W3122135011
- Cited by
- 422
- References
- 64
- FWCI
- 39.05
- Type
- journal article
- Language
- en
- Open access
- closed
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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.