The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Lessons from innovation empirical studies in the manufacturing sector: A systematic review of the literature from 1993–2003
Open accessOverview
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
Competitive Strategy: Techniques for Analyzing Industries and Competitors
(1980) · Journal of Sustainable Competitive Intelligence · doi:10.24883/iberoamericanic.v2i2.38 · Cited by 16,592
Product development: Past research, present findings and future directions
Brown, S. L., & Eisenhardt, K. M. (1995) · The Academy of Management Review · doi:10.2307/258850 · Cited by 3,777
Hitt, M. A., Hoskisson, R. E., & Kim, H. (1997) · Academy of Management Journal · doi:10.2307/256948 · Cited by 2,855
Aging, Obsolescence, and Organizational Innovation
Sørensen, J. B., & Stuart, T. E. (2000) · Administrative Science Quarterly · doi:10.2307/2666980 · Cited by 1,862
Kaufmann, A., & Tödtling, F. (2001) · Research Policy · doi:10.1016/s0048-7333(00)00118-9 · Cited by 526
Cited by
Business model innovation through Industry 4.0: A review
Ibarra, D., Ganzarain, J., & Igartua, J. I. (2018) · Procedia Manufacturing · doi:10.1016/j.promfg.2018.03.002 · Cited by 466
Nieto, M. J., & SantamarÃa, L. (2010) · Journal of Small Business Management · doi:10.1111/j.1540-627x.2009.00286.x · Cited by 444
Automatic feedback in online learning environments: A systematic literature review
Cavalcanti, A. P., Barbosa, A., Carvalho, R., Freitas, F., Tsai, Y.-S., Gašević, D., & Mello, R. F. (2021) · Computers and Education: Artificial Intelligence · doi:10.1016/j.caeai.2021.100027 · Cited by 440
Lean implementation within SMEs: a literature review
Hu, Q., Mason, R., Williams, S. J., & Found, P. (2015) · Journal of Manufacturing Technology Management · doi:10.1108/jmtm-02-2014-0013 · Cited by 275
Drydakis, N. (2022) · Information Systems Frontiers · doi:10.1007/s10796-022-10249-6 · Cited by 180
Metadata
- Authors
- Becheikh, N., Landry, R., & Amara, N.
- Venue
- Technovation
- Publisher
- Elsevier BV
- Published
- 2006-05
- Volume
- 26
- Issue
- 5-6
- Pages
- 644-664
- ISSN
- 0166-4972 (ISSN-L)
- OpenAlex
- W2006212034
- Cited by
- 1,033
- References
- 5
- FWCI
- 13.23
- Type
- journal article
- Language
- en
- Open access
- green
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: Lessons from innovation empirical studies in the manufacturing sector: A systematic review of the literature from 1993–2003. https://app.cochat.ai/papers/10.1016/j.technovation.2005.06.016
- The paper
- Becheikh, N., Landry, R., & Amara, N. (2006). Lessons from innovation empirical studies in the manufacturing sector: A systematic review of the literature from 1993–2003. Technovation. https://doi.org/10.1016/j.technovation.2005.06.016
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.