The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Relational Embeddedness and Learning: The Case of Bank Loan Managers and Their Clients
Abstract
As a complement to the literature on learning in firms, we investigate learning in markets, a nascent area of study that focuses on how learning occurs between, rather than within, firms. The core idea behind our framework is that networks shape knowledge transfer and learning processes by creating channels for knowledge trade and reducing the risk of learning. In developing our framework, we elaborate on the knowledge transfer capabilities of different types of social ties, the informational properties of public and private knowledge, and how types of knowledge transfer and forms of learning follow from the networks within which firms embed their exchanges. We conducted fieldwork at Chicago-area banks to examine our framework's plausibility and application to learning in financial lending markets, a setting relevant to most firms. Findings indicate that learning is located not only in actors' cognitions or past experiences, but also in relations among actors, and that viewing learning as a social process helps solve problems regarding knowledge transfer and learning in markets.
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
Exploration and Exploitation in Organizational Learning
March, J. G. (1991) · Organization Science · doi:10.1287/orsc.2.1.71 · Cited by 21,942
Interorganizational Collaboration and the Locus of Innovation: Networks of Learning in Biotechnology
Powell, W. W., Koput, K. W., & Smith-Doerr, L. (1996) · Administrative Science Quarterly · doi:10.2307/2393988 · Cited by 8,499
The Search-Transfer Problem: The Role of Weak Ties in Sharing Knowledge across Organization Subunits
Hansen, M. T. (1999) · Administrative Science Quarterly · doi:10.2307/2667032 · Cited by 5,809 · cited 3×
“This finding is significant in light of previous work that has focused on the differences between codified and tacit information (Winter 1987, Hansen 1999).”
BackgroundResultWhat Firms Do? Coordination, Identity, and Learning
Kogut, B., & Zander, U. (1996) · Organization Science · doi:10.1287/orsc.7.5.502 · Cited by 3,078
Cited by
Jansen, J. J. P., Van Den Bosch, F. A. J., & Volberda, H. W. (2006) · Management Science · doi:10.1287/mnsc.1060.0576 · Cited by 3,705
Network Structure and Knowledge Transfer: The Effects of Cohesion and Range
Reagans, R., & McEvily, B. (2003) · Administrative Science Quarterly · doi:10.2307/3556658 · Cited by 3,592
Contextualization and value-in-context: How context frames exchange
Chandler, J. D., & Vargo, S. L. (2011) · Marketing Theory · doi:10.1177/1470593110393713 · Cited by 1,161
From creativity to innovation: The social network drivers of the four phases of the idea journey
Perry-Smith, J. E., & Mannucci, P. V. (2017) · Academy of Management Review · doi:10.5465/amr.2014.0462 · Cited by 1,121
Malhotra, A., Gosain, S., & El Sawy, O. A. (2005) · MIS Quarterly · doi:10.2307/25148671 · Cited by 994
Metadata
- Authors
- Uzzi, B., & Lancaster, R.
- Venue
- Management Science
- Published
- 2003-04
- Volume
- 49
- Issue
- 4
- Pages
- 383-399
- ISSN
- 0025-1909 (ISSN-L)
- 1526-5501
- OpenAlex
- W2122465344
- Cited by
- 1,086
- References
- 4
- FWCI
- 66.75
- 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.