Thesis: S.M. in Engineering and Management, Massachusetts Institute of Technology, Engineering Systems Division, System Design and Management Program, 2014. / Cataloged from PDF version of thesis. / Includes bibliographical references (pages 71-73). / Email, Instant Messaging, Voice Over IP (VOIP) and other means of online communication have become so ubiquitous today that we rarely take a moment to acknowledge how the internet has changed and redefined the ways in which we communicate and collaborate with fellow human beings. The internet has empowered us to collaborate with others in ways that were not possible till just a few years ago. As we communicate and interact with each other and form relationships, we weave intricate Social Networks that can be analyzed and exhibit communication patterns that can be quantified. In this thesis I have applied Social Network Analysis based techniques that constitute Coolhunting (Gloor & Cooper, 2007) to analyze E-Mail and WebEx communications of sales professionals of a large technology company. I have quantified communication patterns and computed metrics of social network prominence such as degree and betweenness centralities using Condor, a Social Network Analysis and Coolhunting software. Several significant correlations between the success of sales professionals and these quantified communication patterns and centrality measures were found. The communication patterns and centralities of the sales professionals exhibited several traits of Collaborative Innovation Networks or COINs (Gloor, 2006). I have assessed the implications of these communication patterns and correlations and applied the concept of Coolfarming (Gloor, 2011 a) to make recommendations to the technology company on how it could leverage the power of these COINs to their advantage. Key Terms: Collaborative Innovation Networks (COINs), Coolhunting, Coolfarming, Social Network Analysis, Condor, E-Mail, WebEx / by Rohan Kulkarni. / S.M. in Engineering and Management
| Identifer | oai:union.ndltd.org:MIT/oai:dspace.mit.edu:1721.1/90713 |
| Date | January 2014 |
| Creators | Kulkarni, Rohan A |
| Contributors | Peter A. Gloor., System Design and Management Program., Massachusetts Institute of Technology. Engineering Systems Division., System Design and Management Program. |
| Publisher | Massachusetts Institute of Technology |
| Source Sets | M.I.T. Theses and Dissertation |
| Language | English |
| Detected Language | English |
| Type | Thesis |
| Format | 73 pages, application/pdf |
| Rights | 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 permission. See provided URL for inquiries about permission., http://dspace.mit.edu/handle/1721.1/7582 |
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