The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Virtual product experience and customer participation—A chance for customer-centred, really new products
Overview
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Claims the paper makes
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Citations
Cites
The commitment-trust theory of relationship marketing
Morgan, R. M., & Hunt, S. D. (1994) · Journal of Marketing · doi:10.1177/002224299405800302 · Cited by 22,355
Possessions and the Extended Self
Belk, R. W. (1988) · Journal of Consumer Research · doi:10.1086/209154 · Cited by 9,064
Consumer trust, value, and loyalty in relational exchanges
Sirdeshmukh, D., Singh, J., & Sabol, B. (2002) · Journal of Marketing · doi:10.1509/jmkg.66.1.15.18449 · Cited by 4,196
Levin, I. P., & Gaeth, G. J. (1988) · Journal of Consumer Research · doi:10.1086/209174 · Cited by 1,172
Designing Virtual Customer Environments for New Product Development: Toward a Theory
Nambisan, S. (2002) · The Academy of Management Review · doi:10.5465/amr.2002.7389914 · Cited by 1,026
Shifting Innovation to Users via Toolkits
von Hippel, E., & Katz, R. (2002) · Management Science · doi:10.1287/mnsc.48.7.821.2817 · cited 1×
“In literature, a number of new tools to interact virtually with customers can be found (von Hippel, 2001; von Hippel and Katz, 2002).”
Background
Cited by
What is co-creation? An interactional creation framework and its implications for value creation
Ramaswamy, V., & Ozcan, K. (2018) · Journal of Business Research · doi:10.1016/j.jbusres.2017.11.027 · Cited by 735
Kamboj, S., Sarmah, B., Gupta, S., & Dwivedi, Y. (2018) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2017.12.001 · Cited by 591
Approaches for Organizational Learning: A Literature Review
Basten, D., & Haamann, T. (2018) · Sage Open · doi:10.1177/2158244018794224 · Cited by 282
Unlocking the power of big data in new product development
Zhan, Y., Tan, K. H., Li, Y., & Tse, Y. K. (2018) · Annals of Operations Research · doi:10.1007/s10479-016-2379-x · Cited by 173
The impact of positive valence and negative valence on social commerce purchase intention
Hajli, N. (2019) · Information Technology & People · doi:10.1108/itp-02-2018-0099 · Cited by 112
Metadata
- Authors
- Füller, J., & Matzler, K.
- Venue
- Technovation
- Publisher
- Elsevier BV
- Published
- 2007-06
- Volume
- 27
- Issue
- 6-7
- Pages
- 378-387
- ISSN
- 0166-4972 (ISSN-L)
- OpenAlex
- W1996631301
- Cited by
- 370
- References
- 6
- FWCI
- 25.81
- 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.
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- CoChat. (2026). Citation check: Virtual product experience and customer participation—A chance for customer-centred, really new products. https://app.cochat.ai/papers/10.1016/j.technovation.2006.09.005
- The paper
- Füller, J., & Matzler, K. (2007). Virtual product experience and customer participation—A chance for customer-centred, really new products. Technovation. https://doi.org/10.1016/j.technovation.2006.09.005
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.