Show simple item record

dc.contributor.advisorErik Brynjolfsson, Sinan Aral and Marshall Van Alstyne.en_US
dc.contributor.authorManoharn, Petchen_US
dc.contributor.otherMassachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.en_US
dc.date.accessioned2008-05-19T16:00:37Z
dc.date.available2008-05-19T16:00:37Z
dc.date.copyright2006en_US
dc.date.issued2006en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/41611
dc.descriptionThesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2006.en_US
dc.descriptionIncludes bibliographical references (p. 89-90).en_US
dc.description.abstractSince 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 Managementen_US
dc.description.statementofresponsibilityby Petch Manoharn.en_US
dc.format.extent90 p.en_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsM.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 permission. See provided URL for inquiries about permission.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectElectrical Engineering and Computer Science.en_US
dc.titleDiversity measurement for the email content of information workersen_US
dc.typeThesisen_US
dc.description.degreeM.Eng.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
dc.identifier.oclc216834233en_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record