Information Technology Use and Productivity at the Individual Level
We employ a unique data set on white-collar workers that combines direct observations of individual use of information technology as well as objective information on individual performance. The main hypothesis we examine is whether heavier users of IT are more productive, and if heavier users of IT are indeed more productive, how does this increase in productivity manifest itself? Our results suggest that, controlling for other factors, the size of an individual’s internal email network is more highly correlated with revenues generated by that individual than age, experience or education. Further, the number of unique electronic contacts is more significant than the number of messages, external network size, and all other measures of email communication including declared time spent on email. Additionally, even after accounting for the individual’s number of unique contacts within the firm, the social network measure of “betweenness” is also highly correlated with revenues. We attribute the strength of these results to the fine grain detail of the data on this form of task-based white collar work.
If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
|Date of creation:||Apr 2007|
|Contact details of provider:|| Postal: Centre for Economic Policy Research, 77 Bastwick Street, London EC1V 3PZ.|
Phone: 44 - 20 - 7183 8801
Fax: 44 - 20 - 7183 8820
|Order Information:|| Email: |
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.:
- Dale W. Jorgenson, 2001. "Information Technology and the U.S. Economy," American Economic Review, American Economic Association, vol. 91(1), pages 1-32, March.
- Ichniowski, Casey & Shaw, Kathryn & Prennushi, Giovanna, 1997. "The Effects of Human Resource Management Practices on Productivity: A Study of Steel Finishing Lines," American Economic Review, American Economic Association, vol. 87(3), pages 291-313, June.
When requesting a correction, please mention this item's handle: RePEc:cpr:ceprdp:6260. 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: ()
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.