Quantitative Analysis of Group Decision Making for Complex Engineered Systems
Name
Broniatowski-2009-Quantitative Analysis of Group Decision Making for Complex Engineered Systems.pdf
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538.21 KB
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Author(s)
Broniatowski, David Andre
Coughlin, Joseph F.
Magee, Christopher L.
Yang, Maria
Date Issued
April 2009
Journal
Proceedings of the 3rd Annual IEEE Systems Conference
Publisher
Institute of Electrical and Electronics Engineers
Citation
Broniatowski, D.A. et al. “Quantitative analysis of group decision making for complex engineered systems.” Systems Conference, 2009 3rd Annual IEEE. 2009. 183-189.
Version
Final published version
Abstract
Understanding group decision-making processes is crucial for design or operation of a complex system. Unfortunately, there are few experimental tools that might contribute to the development of a theory of group decision-making by committees of technical experts. This research aims to fills this gap by providing tools based on computational linguistics algorithms that can analyze transcripts of multi-stakeholder decision-making entities. The U.S. Food and Drug Administration medical device approval committee panel meetings are used as a data source. Preliminary results show that unsupervised linguistic analyses can be used to produce a formal network representation of stakeholder interactions.
Subjects
multi-stakeholder decision-making
computational analysis
MIT Department
Massachusetts Institute of Technology. Center for Transportation & Logistics
Massachusetts Institute of Technology. Department of Mechanical Engineering
Massachusetts Institute of Technology. Engineering Systems Division
Terms of Use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
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DOI of Published Version
https://doi.org/10.1109/SYSTEMS.2009.4815795
