Quantitative Analysis of Group Decision Making for Complex Engineered Systems
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...
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| Format: | Article |
| Language: | en_US |
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Institute of Electrical and Electronics Engineers
2010
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| Online Access: | http://hdl.handle.net/1721.1/58934 https://orcid.org/0000-0002-7776-3423 https://orcid.org/0000-0001-5316-8358 |
| _version_ | 1811081480693088256 |
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| author | Broniatowski, David Andre Coughlin, Joseph F. Magee, Christopher L. Yang, Maria |
| author2 | Massachusetts Institute of Technology. Center for Transportation & Logistics |
| author_facet | Massachusetts Institute of Technology. Center for Transportation & Logistics Broniatowski, David Andre Coughlin, Joseph F. Magee, Christopher L. Yang, Maria |
| author_sort | Broniatowski, David Andre |
| collection | MIT |
| description | 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. |
| first_indexed | 2024-09-23T11:47:21Z |
| format | Article |
| id | mit-1721.1/58934 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T11:47:21Z |
| publishDate | 2010 |
| publisher | Institute of Electrical and Electronics Engineers |
| record_format | dspace |
| spelling | mit-1721.1/589342022-09-27T21:54:39Z Quantitative Analysis of Group Decision Making for Complex Engineered Systems Broniatowski, David Andre Coughlin, Joseph F. Magee, Christopher L. Yang, Maria Massachusetts Institute of Technology. Center for Transportation & Logistics Massachusetts Institute of Technology. Department of Mechanical Engineering Massachusetts Institute of Technology. Engineering Systems Division Yang, Maria Broniatowski, David Andre Coughlin, Joseph F. Magee, Christopher L. Yang, Maria multi-stakeholder decision-making computational analysis 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. MIT-Portugal Program 2010-10-07T15:20:27Z 2010-10-07T15:20:27Z 2009-04 2009-03 Article http://purl.org/eprint/type/ConferencePaper 978-1-4244-3462-6 INSPEC Accession Number: 10574432 http://hdl.handle.net/1721.1/58934 Broniatowski, D.A. et al. “Quantitative analysis of group decision making for complex engineered systems.” Systems Conference, 2009 3rd Annual IEEE. 2009. 183-189. https://orcid.org/0000-0002-7776-3423 https://orcid.org/0000-0001-5316-8358 en_US http://dx.doi.org/10.1109/SYSTEMS.2009.4815795 Proceedings of the 3rd Annual IEEE Systems Conference 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. application/pdf Institute of Electrical and Electronics Engineers IEEE |
| spellingShingle | multi-stakeholder decision-making computational analysis Broniatowski, David Andre Coughlin, Joseph F. Magee, Christopher L. Yang, Maria Quantitative Analysis of Group Decision Making for Complex Engineered Systems |
| title | Quantitative Analysis of Group Decision Making for Complex Engineered Systems |
| title_full | Quantitative Analysis of Group Decision Making for Complex Engineered Systems |
| title_fullStr | Quantitative Analysis of Group Decision Making for Complex Engineered Systems |
| title_full_unstemmed | Quantitative Analysis of Group Decision Making for Complex Engineered Systems |
| title_short | Quantitative Analysis of Group Decision Making for Complex Engineered Systems |
| title_sort | quantitative analysis of group decision making for complex engineered systems |
| topic | multi-stakeholder decision-making computational analysis |
| url | http://hdl.handle.net/1721.1/58934 https://orcid.org/0000-0002-7776-3423 https://orcid.org/0000-0001-5316-8358 |
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