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      How to determine the consensus threshold in group decision making: a method based on efficiency benchmark using benefit and cost insight

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      Annals of Operations Research
      Springer Science and Business Media LLC

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          Abstract

          In the past 10 years, a large number of consensus-reaching approaches for group decision making (GDM) have been proposed. While these methods either focus on the cost of the consensus reaching or the convergency of the consensus process, the consensus efficiency has long been ignored. Meanwhile, the measurements of consensus threshold are often determined by some subjective and intuitive judgements, such as management experience and estimations for the degree of satisfaction, which lack a theoretical foundation. In management applications, how to measure consensus and how to evaluate a consensus reaching method are also ambiguous. To tackle these questions, we introduce efficiency measures into the consensus reaching process of GDM and achieve a comprehensive evaluation of current consensus methods through an efficiency analysis of consensus costs and consensus improvement. From the perspective of efficiency, we propose a benchmark in consensus reaching by data envelopment analysis without explicit input benchmark models, and then present an objective method for consensus threshold determination in GDM. Finally, we use numerical examples to illustrate the usability of our method.

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          Most cited references54

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          Measuring the efficiency of decision making units

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            On ordered weighted averaging aggregation operators in multicriteria decisionmaking

            R.R. Yager (1988)
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              Evidence for a collective intelligence factor in the performance of human groups.

              Psychologists have repeatedly shown that a single statistical factor--often called "general intelligence"--emerges from the correlations among people's performance on a wide variety of cognitive tasks. But no one has systematically examined whether a similar kind of "collective intelligence" exists for groups of people. In two studies with 699 people, working in groups of two to five, we find converging evidence of a general collective intelligence factor that explains a group's performance on a wide variety of tasks. This "c factor" is not strongly correlated with the average or maximum individual intelligence of group members but is correlated with the average social sensitivity of group members, the equality in distribution of conversational turn-taking, and the proportion of females in the group.
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                Author and article information

                Contributors
                Journal
                Annals of Operations Research
                Ann Oper Res
                Springer Science and Business Media LLC
                0254-5330
                1572-9338
                February 02 2021
                Article
                10.1007/s10479-020-03927-8
                d8ae5c19-3136-4f44-ad24-9d2a21a0b472
                © 2021

                https://creativecommons.org/licenses/by/4.0

                https://creativecommons.org/licenses/by/4.0

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