The DOI matches its Crossref record; 42 of the 42 references it cites were found in a registry or an index.
The Influence and Value of Analogical Thinking during New Product Ideation
Abstract
Although both the academic and the trade literature have widely acknowledged the need to foster the development of more-innovative products, little empirical research has examined the cognitive processes underlying the creation of these novel product concepts. In this research, three empirical studies examine how analogical thinking influences the idea-generation stage of the new product development process. The first study uses the verbal protocols of real-world industrial designers to trace the role of analogy in the context of a new product development task, and the second and third studies use an experimental approach to assess the effectiveness of different ideation strategies and conditions. Findings from these studies indicate that the originality of the resulting product design is influenced by the extent of analogical transfer, the type of analogies used, and the presence of external primes. In addition, these studies reveal a positive relationship between the originality of the product concept and consumers' willingness to pay for it, an important measure in the concept-testing phase of product development.
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Cites
Statistical power analysis for the behavioral sciences
(1990) · Computers, Environment and Urban Systems · doi:10.1016/0198-9715(90)90050-4 · Cited by 65,269
Armstrong, J. S., & Georgoff, D. M. (1988) · International Journal of Forecasting · doi:10.1016/0169-2070(88)90019-2 · Cited by 17,894
Design and Analysis: A Researcher's Handbook
Beaton, A. E., & Keppel, G. (1975) · American Educational Research Journal · doi:10.2307/1162588 · Cited by 5,822
Lead Users: A Source of Novel Product Concepts
von Hippel, E. (1986) · Management Science · doi:10.1287/mnsc.32.7.791 · Cited by 4,650
(1991) · Choice Reviews Online · doi:10.5860/choice.28-5376 · Cited by 4,207
Technology Brokering and Innovation in a Product Development Firm
Hargadon, A., & Sutton, R. I. (1997) · Administrative Science Quarterly · doi:10.2307/2393655 · Cited by 2,888
Gick, M. L., & Holyoak, K. J. (1980) · Cognitive Psychology · doi:10.1016/0010-0285(80)90013-4 · Cited by 2,552 · cited 1×
“In this case, potentially relevant information can often come from widely disparate domains, and researchers have shown that people often fail to access potentially valuable information in these situations (Gick and Holyoak 1980).”
BackgroundCreative cognition: theory, research, and applications
(1993) · Choice Reviews Online · doi:10.5860/choice.30-5870 · Cited by 1,749
Mental leaps: analogy in creative thought
(1995) · Choice Reviews Online · doi:10.5860/choice.32-6192 · Cited by 1,612
Creative Cognition: Theory, Research, and Applications
Finke, R. A., Ward, T. B., & Smith, S. M. (1992) · The MIT Press eBooks · doi:10.7551/mitpress/7722.001.0001 · Cited by 1,433
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Leadership and creativity: Understanding leadership from a creative problem-solving perspective
Reiter-Palmon, R., & Illies, J. J. (2004) · The Leadership Quarterly · doi:10.1016/j.leaqua.2003.12.005 · Cited by 678
Open innovation practices in SMEs and large enterprises
Spithoven, A., Vanhaverbeke, W., & Roijakkers, N. (2013) · Small Business Economics · doi:10.1007/s11187-012-9453-9 · Cited by 631
Cognitive Processes of Opportunity Recognition: The Role of Structural Alignment
Grégoire, D. A., Barr, P. S., & Shepherd, D. A. (2010) · Organization Science · doi:10.1287/orsc.1090.0462 · Cited by 582
Peres, R., Schreier, M., Schweidel, D., & Sorescu, A. (2023) · International Journal of Research in Marketing · doi:10.1016/j.ijresmar.2023.03.001 · Cited by 535
Lettl, C., Herstatt, C., & Gemuenden, H. G. (2006) · R and D Management · doi:10.1111/j.1467-9310.2006.00431.x · Cited by 465
Metadata
- Authors
- Dahl, D. W., & Moreau, P.
- Venue
- Journal of Marketing Research
- Publisher
- SAGE Publications
- Published
- 2002-02
- Volume
- 39
- Issue
- 1
- Pages
- 47-60
- ISSN
- 0022-2437 (ISSN-L)
- 1547-7193
- OpenAlex
- W2122401796
- Cited by
- 629
- References
- 42
- FWCI
- 23.38
- 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.
