The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Innovation and Proximity: Territories as Loci of Collective Learning Processes
Abstract
The article focuses on the relationship between technological and organizational innovation, and territories. This relationship is connected to interactions between learning processes, institutions and spatial patterns of innovative activities. Starting from a conception of the economy as a learning and evolutionary process instead of a static allocative mechanism, we analyse the role of several types of proximity in innovative processes. If one considers innovation as a problem-solving oriented process, it may be analysed as grounded on non-market inter-actions, and knowledge-based. The article shows how geographical, organizational and institutional proximities relate to the operation of localized innovation systems. The institutional framework is of particular importance in this context owing to the fact that such innovation systems are grounded on collective action at a territorial level and rely upon shared patterns of behavioural and cognitive rules. The analysis of institutional proximity raises the problems of the embeddedness of interrelations between actors in a territorial framework, and the transferability of tacit knowledge. This framework is extended to the analysis of spatial patterns in the emergence and diffusion of industrial models. In our conception, the emergence of an industrial model has territorial foundations, but it is also dependent upon an institutional learning process. However, once stabilized and diffused, its relation to geography and territories evolves and transforms. We illustrate this analysis by referring to the emergence and diffusion of industrial models in the automobile industry. Finally, the framework is used to analyse the spatial effects of organizational changes in product development. These changes are both institutional and technological.
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
A Dynamic Theory of Organizational Knowledge Creation
Nonaka, I. (1994) · Organization Science · doi:10.1287/orsc.5.1.14 · Cited by 17,809
Organizational Learning: A Theory of Action Perspective
Argyris, C., & Schön, D. A. (1997) · Reis · doi:10.2307/40183951 · Cited by 11,113 · cited 1×
“It thus corresponds to a ‘double-loop learning process’ (Argyris and Schön, 1978).”
BackgroundOrganizational learning: The contributing processes and the literatures
Huber, G. P. (1991) · Organization Science · doi:10.1287/orsc.2.1.88 · Cited by 8,072
Knowledge, Knowledge Work and Organizations: An Overview and Interpretation
Blackler, F. (1995) · Organization Studies · doi:10.1177/017084069501600605 · Cited by 2,498
Storper, M. (1995) · European Urban and Regional Studies · doi:10.1177/096977649500200301 · Cited by 1,595
Cited by
Proximity and inter‐organizational collaboration: A literature review
Knoben, J., & Oerlemans, L. A. G. (2006) · International Journal of Management Reviews · doi:10.1111/j.1468-2370.2006.00121.x · Cited by 989
On the role played by temporary geographical proximity in knowledge transmission
Torre, A. (2008) · Regional Studies · doi:10.1080/00343400801922814 · Cited by 682
Knowledge networks in the Dutch aviation industry: the proximity paradox
Broekel, T., & Boschma, R. (2012) · Journal of Economic Geography · doi:10.1093/jeg/lbr010 · Cited by 587
Balland, P.-A. (2012) · Regional Studies · doi:10.1080/00343404.2010.529121 · Cited by 466
Metadata
- Authors
- Kirat, T., & Lung, Y.
- Venue
- European Urban and Regional Studies
- Publisher
- SAGE Publications
- Published
- 1999-01
- Volume
- 6
- Issue
- 1
- Pages
- 27-38
- ISSN
- 0969-7764 (ISSN-L)
- 1461-7145
- OpenAlex
- W2105881361
- Cited by
- 351
- References
- 5
- FWCI
- 13.33
- 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: Innovation and Proximity: Territories as Loci of Collective Learning Processes. https://app.cochat.ai/papers/10.1177/096977649900600103
- The paper
- Kirat, T., & Lung, Y. (1999). Innovation and Proximity: Territories as Loci of Collective Learning Processes. European Urban and Regional Studies. https://doi.org/10.1177/096977649900600103
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.