The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
“Listening In” to Find and Explore New Combinations of Customer Needs
Abstract
By “listening in” to ongoing dialogues between customers and Web-based virtual advisers (e.g., Kelley Blue Book's Auto Choice Advisor), the authors identify new product opportunities based on new combinations of customer needs. The data are available at little incremental cost and provide the scale necessary for complex products (e.g., 148 trucks and 129 customer needs in the authors’ application). The authors describe and evaluate the methodologies with formal analysis, Monte Carlo simulation (calibrated on real data), and a “proof-of-concept” application in the pickup-truck category (more than 1000 Web-based respondents). The application identified opportunities for new truck platforms worth approximately $2.4 billion–$3.2 billion and $1 billion–$2 billion, respectively.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
The Psychology of Survey Response
Tourangeau, R., Rips, L. J., & Rasinski, K. (2000) · doi:10.1017/cbo9780511819322 · Cited by 4,734
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
Cited by
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
Consumer Empowerment Through Internet-Based Co-creation
Füller, J., Mühlbacher, H., Matzler, K., & Jawecki, G. (2009) · Journal of Management Information Systems · doi:10.2753/mis0742-1222260303 · Cited by 710
Online Trust: State of The Art, New Frontiers, and Research Potential
Urban, G. L., Amyx, C., & Lorenzon, A. (2009) · Journal of Interactive Marketing · doi:10.1016/j.intmar.2009.03.001 · Cited by 393
Self-citationHauser, J. R., Urban, G. L., Liberali, G., & Braun, M. (2009) · Marketing Science · doi:10.1287/mksc.1080.0459 · Cited by 292
Self-citationBlazevic, V., & Lievens, A. (2008) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-007-0064-y · Cited by 286
Metadata
- Authors
- Urban, G. L., & Hauser, J. R.
- Venue
- Journal of Marketing
- Publisher
- SAGE Publications
- Published
- 2004-04
- Volume
- 68
- Issue
- 2
- Pages
- 72-87
- ISSN
- 0022-2429 (ISSN-L)
- 1547-7185
- OpenAlex
- W2098369505
- Cited by
- 198
- References
- 2
- FWCI
- 19.12
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: “Listening In” to Find and Explore New Combinations of Customer Needs. https://app.cochat.ai/papers/10.1509/jmkg.68.2.72.27793
- The paper
- Urban, G. L., & Hauser, J. R. (2004). “Listening In” to Find and Explore New Combinations of Customer Needs. Journal of Marketing. https://doi.org/10.1509/jmkg.68.2.72.27793
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.