Closed-mindedness and insulation in groupthink
Their Effects and the Devil’s Advocacy as a Preventive Measure
Bibliographic Data
| ID | 7521602 |
|---|---|
| Authors | Muqtafi Akhmad (0000-0003-3167-7535, Tokyo Institute of Technology, corresponding author), Shuang Chang (0000-0003-4250-5106, Tokyo Institute of Technology), Hiroshi Deguchi (0000-0002-7721-1207, Tokyo Institute of Technology) |
| Year | 2020 |
| Volume | 4 |
| Issue | 2 |
| Pages | 455-478 |
| Publication date | 2020-09-18 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Journal of Computational Social Science (JOURNAL) |
| Journal identifiers | ISSN: 2432-2725 • E-ISSN: 2432-2717 |
| Publisher | Springer Nature (PUBLISHER • SG) |
| DOI | 10.1007/s42001-020-00083-8 |
| OpenAlex | W3100691327 |
| Language | EN |
| Citations received | 4 |
| References cited | 48 |
This paper’s purpose is to clarify groupthink phenomena and to assess the devil’s advocacy as a groupthink prevention measure. An agent-based model is presented to formalize group closed-mindedness and insulation in a group decision making setting. The model was validated by showing that groupthink results in the decision with low quality and the group’s inability to explore more alternatives. Besides that, the devil’s advocacy also formulated in the model. The simulation results of different conditions of the devil’s advocacy support Janis’ suggestion to utilize the devil’s advocacy to alleviate groupthink. It is also found that the utilization of devil’s advocacy depends on the group’s condition and the desired amount of conflict to produce the best decision
Epistemology · Group (periodic table · Group Decision Making · Measure (data warehouse · Political science · Quality (philosophy · Chemistry · Computer Science · Evolutionary Game Theory and Cooperation · Experimental Behavioral Economics Studies · Opinion Dynamics and Social Influence · Philosophy · Psychology · Social Psychology
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| Unique citing works | 4 |
|---|---|
| Citations per year | 2 |
| Citation span | 2024 - 2026 (3) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 4 |