The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Relation‐specific capabilities and barriers to knowledge transfers: creating advantage through network relationships
Open accessAbstract
This study examines the role of network knowledge resources in influencing firm performance. More specifically: Can a firm that uses the identical supplier network as competitors and purchases similar inputs from the same plants achieve a competitive advantage through that network? In a sample of U.S. automotive suppliers selling to both Toyota and U.S. automakers, we found that greater knowledge sharing on the part of Toyota resulted in a faster rate of learning within the suppliers' manufacturing operations devoted to Toyota. Indeed, from 1990 to 1996 suppliers reduced defects by 50 percent for Toyota vs. only 26 percent for their largest U.S. customer. The quality differences were found to persist within suppliers because the inter‐organizational routines and policies at GM, Ford, and Chrysler acted as barriers to knowledge transfers within suppliers' plants. These findings empirically demonstrate that network resources have a significant influence on firm performance. We also show that some firm resources and capabilities are relation‐specific and are not easily transferable (redeployable) to other buyers or networks. This result implies that a firm may be on its production possibility frontier for each customer but the productivity frontier will be different for each customer owing to constraints associated with the customer's network. Copyright © 2006 John Wiley & Sons, Ltd.
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Cites
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“Explicit (codifiable) knowledge is relatively easy to transfer with little cost, while tacit knowledge is more difficult and costly to transfer (Kogut and Zander, 1992; Szulanski, 1996; Hatch and Mowery, 1998).”
BackgroundEstimating Nonresponse Bias in Mail Surveys
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Capaldo, A. (2007) · Strategic Management Journal · doi:10.1002/smj.621 · Cited by 986
Wu, S. P.-J., Straub, D. W., & Liang, T.-P. (2015) · MIS Quarterly · doi:10.25300/misq/2015/39.2.10 · Cited by 566
Research Design for Mixed Methods: A Triangulation-based Framework and Roadmap
Turner, S. F., Cardinal, L. B., & Burton, R. M. (2017) · Organizational Research Methods · doi:10.1177/1094428115610808 · Cited by 490
Gatekeepers of Knowledge within Industrial Districts: Who They Are, How They Interact
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Power Asymmetry, Adaptation and Collaboration in Dyadic Relationships Involving a Powerful Partner
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Metadata
- Authors
- Dyer, J. H., & Hatch, N. W.
- Venue
- Strategic Management Journal
- Publisher
- Wiley
- Published
- 2006-05-08
- Volume
- 27
- Issue
- 8
- Pages
- 701-719
- ISSN
- 0143-2095 (ISSN-L)
- 1097-0266
- OpenAlex
- W2030513410
- Cited by
- 1,024
- References
- 9
- FWCI
- 116.04
- Type
- journal article
- Language
- en
- Open access
- green
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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.