Five new systems heuristics to analyze small group teamwork

Thesis: S.M. in Engineering and Management, Massachusetts Institute of Technology, School of Engineering, System Design and Management Program, Engineering and Management Program, 2016.

Bibliographic Details
Main Author: Goyal, Devendra
Other Authors: Sanjay E. Sarma and Bruce Cameron.
Format: Thesis
Language:eng
Published: Massachusetts Institute of Technology 2017
Subjects:
Online Access:http://hdl.handle.net/1721.1/106248
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author_facet Sanjay E. Sarma and Bruce Cameron.
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description Thesis: S.M. in Engineering and Management, Massachusetts Institute of Technology, School of Engineering, System Design and Management Program, Engineering and Management Program, 2016.
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spelling mit-1721.1/1062482022-01-12T20:01:36Z Five new systems heuristics to analyze small group teamwork Goyal, Devendra Sanjay E. Sarma and Bruce Cameron. Massachusetts Institute of Technology. Engineering Systems Division. Massachusetts Institute of Technology. Engineering and Management Program System Design and Management Program. Massachusetts Institute of Technology. Engineering Systems Division. System Design and Management Program Engineering and Management Program. System Design and Management Program. Engineering Systems Division. Thesis: S.M. in Engineering and Management, Massachusetts Institute of Technology, School of Engineering, System Design and Management Program, Engineering and Management Program, 2016. Cataloged from PDF version of thesis. Includes bibliographical references (pages 69-72). Small groups are the most common of all organizations. In this thesis we apply a systems architecture approach to small group teamwork in order to study small groups. We propose five new systems heuristics and use these heuristics as lenses to view small groups. We make use of concepts from systems and complexity theories in order to come up with these heuristics. With each heuristic, we provide literature review both from systems and small group perspectives. We find that in many cases there is sufficient literature available to support application of each heuristic on small groups, but in some cases the literature is scant. We further apply these heuristics to small group work in a movie called "Twelve Angry Men" to provide an application example of these heuristics to analyze the work of a jury group presented in the movie. We find that each heuristic within its scope is able to provide significant insights into the working of the group. We finally provide guidelines for how these heuristics can be used for the practice of leadership in small groups. We report that each heuristic covers different aspects of group life and together can be used to analyze group work in details. Understanding group work in real time opens up opportunities for a member or members to influence the work and thus help practice leadership. by Devendra Goyal. S.M. in Engineering and Management 2017-01-06T16:13:45Z 2017-01-06T16:13:45Z 2016 2016 Thesis http://hdl.handle.net/1721.1/106248 961923291 eng 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 72 pages application/pdf Massachusetts Institute of Technology
spellingShingle Engineering and Management Program.
System Design and Management Program.
Engineering Systems Division.
Goyal, Devendra
Five new systems heuristics to analyze small group teamwork
title Five new systems heuristics to analyze small group teamwork
title_full Five new systems heuristics to analyze small group teamwork
title_fullStr Five new systems heuristics to analyze small group teamwork
title_full_unstemmed Five new systems heuristics to analyze small group teamwork
title_short Five new systems heuristics to analyze small group teamwork
title_sort five new systems heuristics to analyze small group teamwork
topic Engineering and Management Program.
System Design and Management Program.
Engineering Systems Division.
url http://hdl.handle.net/1721.1/106248
work_keys_str_mv AT goyaldevendra fivenewsystemsheuristicstoanalyzesmallgroupteamwork