The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
The Value of Crowdsourcing: Can Users Really Compete with Professionals in Generating New Product Ideas?
Open accessAbstract
Generating ideas for new products used to be the exclusive domain of marketers, engineers, and/or designers. Users have only recently been recognized as an alternative source of new product ideas. Whereas some have attributed great potential to outsourcing idea generation to the “crowd” of users (“crowdsourcing”), others have clearly been more skeptical. The authors join this debate by presenting a real‐world comparison of ideas actually generated by a firm's professionals with those generated by users in the course of an idea generation contest. Both professionals and users provided ideas to solve an effective and relevant problem in the consumer goods market for baby products. Executives from the underlying company evaluated all ideas (blind to their source) in terms of key quality dimensions including novelty, customer benefit, and feasibility. The study reveals that the crowdsourcing process generated user ideas that score significantly higher in terms of novelty and customer benefit, and somewhat lower in terms of feasibility. However, the average values for feasibility—in sharp contrast to novelty and customer benefit—tended to be relatively high overall, meaning that feasibility did not constitute a narrow bottleneck in this study. Even more interestingly, it is found that user ideas are placed more frequently than expected among the very best in terms of novelty and customer benefit. These findings, which are quite counterintuitive from the perspective of classic new product development (NPD) literature, suggest that, at least under certain conditions, crowdsourcing might constitute a promising method to gather user ideas that can complement those of a firm's professionals at the idea generation stage in NPD.
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Cites
Exploration and Exploitation in Organizational Learning
March, J. G. (1991) · Organization Science · doi:10.1287/orsc.2.1.71 · Cited by 21,942
ASSESSING THE WORK ENVIRONMENT FOR CREATIVITY.
AMABILE, T. M., CONTI, R., COON, H., LAZENBY, J., & HERRON, M. (1996) · Academy of Management Journal · doi:10.2307/256995 · Cited by 6,029
Answering the Call for a Standard Reliability Measure for Coding Data
Hayes, A. F., & Krippendorff, K. (2007) · Communication Methods and Measures · doi:10.1080/19312450709336664 · Cited by 4,225 · cited 1×
“Before the experts assessed the final quality of ideas in more detail, they were given training with regard to the evaluation criteria as well as their definition and proper application (Hayes and Krippendorff, 2007; Krippendorff, 2004).”
Collaborating to create: The Internet as a platform for customer engagement in product innovation
Sawhney, M., Verona, G., & Prandelli, E. (2005) · Journal of Interactive Marketing · doi:10.1002/dir.20046 · Cited by 1,406
Lead User Analyses for the Development of New Industrial Products
Urban, G. L., & von Hippel, E. (1988) · Management Science · doi:10.1287/mnsc.34.5.569 · Cited by 1,125
Harhoff, D., Henkel, J., & von Hippel, E. (2003) · Research Policy · doi:10.1016/s0048-7333(03)00061-1 · Cited by 772
Cited by
Towards an information systems perspective and research agenda on crowdsourcing for innovation
Majchrzak, A., & Malhotra, A. (2013) · The Journal of Strategic Information Systems · doi:10.1016/j.jsis.2013.07.004 · Cited by 470
The Value of Codesign: The Effect of Customer Involvement in Service Design Teams
Trischler, J., Pervan, S. J., Kelly, S. J., & Scott, D. R. (2018) · Journal of Service Research · doi:10.1177/1094670517714060 · Cited by 292
Identifying New Product Ideas: Waiting for the Wisdom of the Crowd or Screening Ideas in Real Time
Hoornaert, S., Ballings, M., Malthouse, E. C., & Van den Poel, D. (2017) · Journal of Product Innovation Management · doi:10.1111/jpim.12396 · Cited by 152
Williams, H., Lindström, A., Trischler, J., Wikström, F., & Rowe, Z. (2020) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2020.121775 · Cited by 128
Bockstedt, J., Druehl, C., & Mishra, A. (2016) · Production and Operations Management · doi:10.1111/poms.12552 · Cited by 111
Metadata
- Authors
- Poetz, M. K., & Schreier, M.
- Venue
- Journal of Product Innovation Management
- Publisher
- Wiley
- Published
- 2012-01-20
- Volume
- 29
- Issue
- 2
- Pages
- 245-256
- ISSN
- 0737-6782 (ISSN-L)
- 1540-5885
- OpenAlex
- W2154116346
- Cited by
- 1,244
- References
- 6
- FWCI
- 147.64
- Type
- journal article
- Language
- en
- Open access
- green
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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.