EconPapers    
Economics at your fingertips  
 

A Theory of Worker Turnover and Knowledge Transfer in High-Technology Industries

Kameshwari Shankar and Suman Ghosh

Journal of Human Capital, 2013, vol. 7, issue 2, 107 - 129

Abstract: This paper builds a theoretical model to address evidence on labor mobility patterns in high-technology firms engaged in R&D. Worker turnover in these industries enables the efficient transfer of R&D knowledge across firms in a production environment characterized by volatile returns to R&D investment. We show that both the size and composition of labor turnover are affected by the extent to which R&D knowledge can be transferred and applied across the production processes of different firms. Our analysis also provides implications of such labor mobility for industry growth. We explain how labor turnover in the presence of knowledge transfer has contributed to the success of the high-technology cluster in Silicon Valley.

Date: 2013
References: Add references at CitEc
Citations: View citations in EconPapers (7)

Downloads: (external link)
http://dx.doi.org/10.1086/671188 (application/pdf)
http://dx.doi.org/10.1086/671188 (text/html)
Access to the online full text or PDF requires a subscription.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ucp:jhucap:doi:10.1086/671188

Access Statistics for this article

More articles in Journal of Human Capital from University of Chicago Press
Bibliographic data for series maintained by Journals Division ().

 
Page updated 2024-12-29
Handle: RePEc:ucp:jhucap:doi:10.1086/671188