Team confidence, motivated information processing, and dynamic group decision making

2010 ◽  
Vol 40 (7) ◽  
pp. 1110-1119 ◽  
Author(s):  
Carsten K. W. De Dreu ◽  
Bianca Beersma
Keyword(s):  
Decision Making ◽  
Information Processing ◽  
Group Decision Making ◽  
Group Decision ◽  
Dynamic Group ◽  
Motivated Information Processing

scholarly journals A new measure of group decision-making efficiency

2020 ◽  
Vol 5 (1) ◽  
Author(s):  
Cheng-Ju Hsieh ◽  
Mario Fifić ◽  
Cheng-Ta Yang
Keyword(s):  
Decision Making ◽  
Information Processing ◽  
Group Decision Making ◽  
Group Decision ◽  
Detection Task ◽  
Detection Sensitivity ◽  
System Level ◽  
Workload Capacity ◽  
Individual Decisions ◽  
Collective Benefit

Abstract It has widely been accepted that aggregating group-level decisions is superior to individual decisions. As compared to individuals, groups tend to show a decision advantage in their response accuracy. However, there has been a lack of research exploring whether group decisions are more efficient than individual decisions with a faster information-processing speed. To investigate the relationship between accuracy and response time (RT) in group decision-making, we applied systems’ factorial technology, developed by Townsend and Nozawa (Journal of Mathematical Psychology 39, 321–359, 1995) and regarded as a theory-driven methodology, to study the information-processing properties. More specifically, we measured the workload capacity CAND(t), which only considers the correct responses, and the assessment function of capacity AAND(t), which considers the speed-accuracy trade-off, to make a strong inference about the system-level processing efficiency. A two-interval, forced-choice oddball detection task, where participants had to detect which interval contains an odd target, was conducted in Experiment 1. Then, in Experiment 2, a yes/no Gabor detection task was adopted, where participants had to detect the presence of a Gabor patch. Our results replicated previous findings using the accuracy-based measure: Group detection sensitivity was better than the detection sensitivity of the best individual, especially when the two individuals had similar detection sensitivities. On the other hand, both workload capacity measures, CAND(t) and AAND(t), showed evidence of supercapacity processing, thus suggesting a collective benefit. The ordered relationship between accuracy-based and RT-based collective benefit was limited to the AAND(t) of the correct and fast responses, which may help uncover the processing mechanism behind collective benefits. Our results suggested that AAND(t), which combines both accuracy and RT into inferences, can be regarded as a novel and diagnostic tool for studying the group decision-making process.

A two-stage dynamic group decision making method for processing ordinal information

2014 ◽  
Vol 70 ◽  
pp. 189-202 ◽  
Author(s):  
Feng Zhang ◽  
Joshua Ignatius ◽  
Chee Peng Lim ◽  
Mark Goh
Keyword(s):  
Decision Making ◽  
Group Decision Making ◽  
Group Decision ◽  
Two Stage ◽  
Ordinal Information ◽  
Dynamic Group

A dynamic group decision making process for high number of alternatives using hesitant Fuzzy Ontologies and sentiment analysis

2020 ◽  
Vol 195 ◽  
pp. 105657 ◽  
Author(s):  
J.A. Morente-Molinera ◽  
F.J. Cabrerizo ◽  
J. Mezei ◽  
C. Carlsson ◽  
E. Herrera-Viedma
Keyword(s):  
Decision Making ◽  
Sentiment Analysis ◽  
Group Decision Making ◽  
Group Decision ◽  
Decision Making Process ◽  
Dynamic Group
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