Knowledge acquisition and transfer among engineers: effects of network structure
This paper examines the association between the structure of formal intra-firm networks and productivity. We focus on two network structure components-department centralization and centrality, within a four department engineering organization. Centrality indicates the number of connections between one department and others within the organization, while centralization captures how much of those connections are concentrated among the workers within the department. Both of these represent specific managerial decisions in a formal network structure. We use learning curve theory to measure accumulated organizational knowledge, its depreciation and intra-firm transfers. We hypothesize that the departments are more productive, experience less depreciation and realize more knowledge transfer if they have more intra-firm connections among more workers. The findings suggest a significant yet moderate association between the formal network structure and productivity. Copyright © 2008 John Wiley & Sons, Ltd.
Volume (Year): 29 (2008)
Issue (Month): 5 ()
|Contact details of provider:|| Web page: http://www3.interscience.wiley.com/cgi-bin/jhome/7976|
References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Epple, D. & Argote, L. & Murphy, K., 1995. "An Empiraical Investigation of the Micro Structure of Knowledge Acquisition and Transfer Through Learning by Doing," GSIA Working Papers 1995-17, Carnegie Mellon University, Tepper School of Business.
- Brian Uzzi & Ryon Lancaster, 2003. "Relational Embeddedness and Learning: The Case of Bank Loan Managers and Their Clients," Management Science, INFORMS, vol. 49(4), pages 383-399, April.
- Daniel Z. Levin & Rob Cross, 2004. "The Strength of Weak Ties You Can Trust: The Mediating Role of Trust in Effective Knowledge Transfer," Management Science, INFORMS, vol. 50(11), pages 1477-1490, November.
- Midgley, David F. & Morrison, Pamela D. & Roberts, John H., 1992. "The effect of network structure in industrial diffusion processes," Research Policy, Elsevier, vol. 21(6), pages 533-552, December.
- Argote, Linda & Ingram, Paul, 2000. "Knowledge Transfer: A Basis for Competitive Advantage in Firms," Organizational Behavior and Human Decision Processes, Elsevier, vol. 82(1), pages 150-169, May.
- Argote, L. & Epple, D., 1990. "Learning Curves In Manufacturing," GSIA Working Papers 89-90-02, Carnegie Mellon University, Tepper School of Business.
- Charles D. Bailey, 1989. "Forgetting and the Learning Curve: A Laboratory Study," Management Science, INFORMS, vol. 35(3), pages 340-352, March.
- Paul S. Adler & Kim B. Clark, 1991. "Behind the Learning Curve: A Sketch of the Learning Process," Management Science, INFORMS, vol. 37(3), pages 267-281, March.
When requesting a correction, please mention this item's handle: RePEc:wly:mgtdec:v:29:y:2008:i:5:p:459-468. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Wiley-Blackwell Digital Licensing)or (Christopher F. Baum)
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.