2026-09-20T21:23:48Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/416112022-01-13T07:54:29Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Erik Brynjolfsson, Sinan Aral and Marshall Van Alstyne.
Manoharn, Petch
Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
2008-05-19T16:00:37Z
2008-05-19T16:00:37Z
2006
2006
http://hdl.handle.net/1721.1/41611
216834233
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2006.
Includes bibliographical references (p. 89-90).
Since the introduction of computers and the Internet, information processing has evolved to be a major part of many businesses, but factors that contribute to the productivity of information workers are still understudied. Some social network studies claim that diverse information that passes through workers in the positions with diverse sources of information drives performance. However, such claims are rarely verified by empirical data. This study develops a measurement methodology for the diversity of the email content processed by information workers. The diversity values will be used for future productivity studies along with the results from social network analysis. Erik Brynjolfsson George and Sandi Schussel Professor of Management and Director, Center for Digital Business, MIT Sloan School of Management
by Petch Manoharn.
M.Eng.
90 p.
eng
Massachusetts Institute of Technology
M.I.T. theses are protected by
copyright. They may be viewed from this source for any purpose, but
reproduction or distribution in any format is prohibited without written
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http://dspace.mit.edu/handle/1721.1/7582
Electrical Engineering and Computer Science.
Diversity measurement for the email content of information workers
Thesis
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Publication
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