Quantitative Analysis of Group Decision Making for Complex Engineered Systems

• Main Authors: Broniatowski, David Andre (Contributor), Coughlin, Joseph F. (Contributor), Magee, Christopher L. (Contributor), Yang, Maria (Contributor)
• Other Authors: Massachusetts Institute of Technology. Center for Transportation & Logistics (Contributor), Massachusetts Institute of Technology. Department of Mechanical Engineering (Contributor), Massachusetts Institute of Technology. Engineering Systems Division (Contributor)
• Format: Article
• Language: English
• Published: Institute of Electrical and Electronics Engineers, 2010-10-07T15:20:27Z.
• Subjects: Article
• Online Access: Get fulltext

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.
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