The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Horizontal innovation networks--by and for users
Abstract
Innovation development, production, distribution and consumption networks can be built up horizontally—with actors consisting only of innovation users (more precisely, “user/self-manufacturers”). Some open source software projects are examples of such networks, and examples can be found in the case of physical products as well. In this article, we discuss three conditions under which user innovation networks can function entirely independently of manufacturers. We then explore related empirical evidence, and conclude that conditions favorable to horizontal user innovation networks are often present in the economy.
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
Technological paradigms and technological trajectories
Dosi, G. (1982) · Research Policy · doi:10.1016/0048-7333(82)90016-6 · Cited by 6,685
Lakhani, K. R., & Wolf, R. G. (2003) · doi:10.2139/ssrn.443040 · Cited by 1,531
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
Shifting Innovation to Users via Toolkits
von Hippel, E., & Katz, R. (2002) · Management Science · doi:10.1287/mnsc.48.7.821.2817
Cited by
Actor roles and role patterns influencing innovation in living labs
Nyström, A.-G., Leminen, S., Westerlund, M., & Kortelainen, M. (2014) · Industrial Marketing Management · doi:10.1016/j.indmarman.2013.12.016 · Cited by 254
When virtual and material worlds collide: democratic fashion in the digital age
Crewe, L. (2013) · Environment and Planning A: Economy and Space · doi:10.1068/a4546 · Cited by 85
Preißner, S., Raasch, C., & Schweisfurth, T. (2024) · Journal of Product Innovation Management · doi:10.1111/jpim.12709 · Cited by 28
Translating Commons-Based Peer Production Values into Metrics
De Filippi, P. (2015) · Handbook of Digital Currency · doi:10.1016/b978-0-12-802117-0.00023-0 · Cited by 13
(2007) · London School of Economics and Political Science Theses Online (London School of Economics and Political Science) · Cited by 13
Metadata
- Authors
- von Hippel, E.
- Venue
- Industrial and Corporate Change
- Publisher
- Oxford University Press (OUP)
- Published
- 2007-04-09
- Volume
- 16
- Issue
- 2
- Pages
- 293-315
- ISSN
- 0960-6491 (ISSN-L)
- 1464-3650
- OpenAlex
- W3121843627
- Cited by
- 568
- References
- 5
- FWCI
- 82.50
- 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
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.