The DOI matches its Crossref record; 107 of the 107 references it cites were found in a registry or an index.
The Effectiveness of Customer Participation in New Product Development: A Meta-Analysis
Abstract
Although the returns of customer participation on new product development (NPD) performance can vary substantially, the current literature lacks a systematic conceptual and empirical integration showing when customer participation is valuable in enhancing NPD performance. Building on knowledge management theory, the authors present a conceptual framework that synthesizes a variety of contingency factors. A meta-analysis empirically examines the moderating effects of contextual factors between customer participation and NPD performance. The analysis reveals that involving customers in the ideation and launch stages of NPD improves new product financial performance directly as well as indirectly through acceleration of time to market, whereas customer participation in the development phase slows down time to market, deteriorating new product financial performance. Furthermore, the benefits of customer participation on NPD performance are greater in technologically turbulent NPD projects, in emerging countries, in low-tech industries, for business customers, and for small firms. The authors discuss several theoretical and managerial implications about when to engage customers in the innovation process.
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Cites
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Customer participation in services: domain, scope, and boundaries
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Hochstein, R. E., Harmeling, C. M., & Perko, T. (2025) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-023-00982-y · Cited by 45
Metadata
- Authors
- Chang, W., & Taylor, S. A.
- Venue
- Journal of Marketing
- Publisher
- SAGE Publications
- Published
- 2016-01
- Volume
- 80
- Issue
- 1
- Pages
- 47-64
- ISSN
- 0022-2429 (ISSN-L)
- 1547-7185
- OpenAlex
- W1764745664
- Cited by
- 507
- References
- 107
- FWCI
- 7.97
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
