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Group Decision and Negotiation最新文献

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Heterogeneous Opinion Dynamics Considering Consensus Evolution in Social Network Group Decision-Making 考虑共识演化的社会网络群体决策异质性意见动态
4区 管理学 Q1 Social Sciences Pub Date : 2023-11-06 DOI: 10.1007/s10726-023-09858-6
Tong Wu
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引用次数: 0
Exploiting Meta-cognitive Features for a Machine-Learning-Based One-Shot Group-Decision Aggregation 利用元认知特征实现基于机器学习的一次性群体决策聚合
4区 管理学 Q1 Social Sciences Pub Date : 2023-10-21 DOI: 10.1007/s10726-023-09855-9
Hilla Shinitzky, Dan Avraham, Yizhak Vaisman, Yakir Tsizer, Yaniv Leedon, Yuval Shahar
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引用次数: 2
Digital Facilitation of Group Work to Gain Predictable Performance 数字化促进小组工作以获得可预测的绩效
4区 管理学 Q1 Social Sciences Pub Date : 2023-10-20 DOI: 10.1007/s10726-023-09856-8
Henner Gimpel, Stefanie Lahmer, Moritz Wöhl, Valerie Graf-Drasch
Abstract Group work is a commonly used method of working, and the performance of a group can vary depending on the type and structure of the task at hand. Research suggests that groups can exhibit "collective intelligence"—the ability to perform well across tasks—under certain conditions, making group performance somewhat predictable. However, predictability of task performance becomes difficult when a task relies heavily on coordination among group members or is ill-defined. To address this issue, we propose a technical solution in the form of a chatbot providing advice to facilitate group work for more predictable performance. Specifically, we target well-defined, high-coordination tasks. Through experiments with 64 virtual groups performing various tasks and communicating via text-based chat, we found a relationship between the average intelligence of group members and their group performance in such tasks, making performance more predictable. The practical implications of this research are significant, as the assembly of consistently performing groups is an important organizational activity.
小组工作是一种常用的工作方法,一个小组的工作表现会因手头任务的类型和结构而有所不同。研究表明,在某些条件下,群体可以表现出“集体智慧”——跨任务表现良好的能力,这使得群体的表现在某种程度上是可预测的。然而,当任务严重依赖于小组成员之间的协调或定义不清时,任务绩效的可预测性变得困难。为了解决这个问题,我们提出了一种技术解决方案,以聊天机器人的形式提供建议,以促进小组工作,从而获得更可预测的性能。具体来说,我们的目标是定义明确、高度协调的任务。通过64个虚拟小组执行各种任务并通过文本聊天进行交流的实验,我们发现小组成员的平均智力与他们在这些任务中的小组表现之间存在关系,使表现更可预测。本研究的实际意义是显著的,因为一致执行群体的集合是一项重要的组织活动。
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引用次数: 0
Collaborative Dishonesty with Unequal Profits - an Experimental Investigation 利润不均等的合作不诚实——一项实验调查
4区 管理学 Q1 Social Sciences Pub Date : 2023-10-13 DOI: 10.1007/s10726-023-09857-7
Beatrice Braut, Nives Della Valle, Marco Piovesan
Abstract Our experiment explores the impact of asymmetric incentives on collaboration within a context where participants can coordinate and potentially engage in deceptive practices to secure financial gains. We contrast two scenarios: one in which cooperation results in an equal distribution of gains, and another where the distribution is unequal. Our investigation focuses on the dynamics of collaborative behavior over time and digs into individual strategies employed by participants. We find that corruptive collaboration persists when its gains are unequally divided. Over time, participants acquire experience in collaborative tactics, often utilizing their reports to covert signals. Notably, participants coordinate around compromise distributions that yield smaller payments, suggesting that this context may actually reduce the perceived cost of dishonesty.
我们的实验探讨了不对称激励对合作的影响,在这种情况下,参与者可以协调并可能从事欺诈行为以确保经济利益。我们对比了两种情况:一种是合作导致收益的平均分配,另一种是分配不平等。我们的研究聚焦于合作行为随时间的动态变化,并深入研究了参与者所采用的个人策略。我们发现,当收益分配不均时,腐败合作就会持续存在。随着时间的推移,参与者获得了合作策略的经验,经常利用他们的报告来隐蔽信号。值得注意的是,参与者会围绕折中分配进行协调,从而产生较小的支付,这表明这种情况实际上可能会降低不诚实的感知成本。
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引用次数: 0
Do People Care about Others’ Benefits from Public Goods? An Investigation Based on Inequity Aversion Model 人们关心他人从公共物品中获得的利益吗?基于不公平厌恶模型的研究
4区 管理学 Q1 Social Sciences Pub Date : 2023-09-29 DOI: 10.1007/s10726-023-09854-w
Xiangwen Kong, Chengyan Yue, Yufeng Lai
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引用次数: 0
How Team Diversity Influences Online Medical Team Service Performance Through Shared Leadership: An Input-Process-Output Perspective 团队多样性如何通过共享领导影响在线医疗团队服务绩效:一个投入-过程-产出的视角
4区 管理学 Q1 Social Sciences Pub Date : 2023-09-16 DOI: 10.1007/s10726-023-09853-x
Wenchao Du, Wu Liu, Xitong Guo, Doug Vogel
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引用次数: 0
A Linguistic Cloud-Based Consensus Framework with Three Behavior Classifications Under Trust-Interest Relations 基于云的信任-利益关系下三种行为分类的语言共识框架
IF 3 4区 管理学 Q1 Social Sciences Pub Date : 2023-08-24 DOI: 10.1007/s10726-023-09851-z
Weiqiao Liu, Jian-jun Zhu, Peide Liu, Peng Wang, Wen Song
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引用次数: 1
A Novel Multi-attribute Model to Select Appropriate Weighting Method in Decision Making, an Empirical Application in Petroleum Industry 一种新的多属性决策权重选择方法,在石油工业中的实证应用
IF 3 4区 管理学 Q1 Social Sciences Pub Date : 2023-08-14 DOI: 10.1007/s10726-023-09846-w
M. Hatefi, Seyyed Abdollah Razavi, Vahid Abiri
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引用次数: 0
Heterogeneous Multi-attribute Large-Scale Group Decision-Making Considering Individual Concerns and Information Credibility 考虑个体关注和信息可信度的异构多属性大规模群体决策
IF 3 4区 管理学 Q1 Social Sciences Pub Date : 2023-08-14 DOI: 10.1007/s10726-023-09845-x
Kaixin Gong, Wei-Guo Ma, Hui Zhang, Mark Goh
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引用次数: 0
A Novel CRITIC-RS-VIKOR Group Method with Intuitionistic Fuzzy Information for Renewable Energy Sources Assessment 基于直觉模糊信息的可再生能源评价critical - rs - vikor群方法
IF 3 4区 管理学 Q1 Social Sciences Pub Date : 2023-08-14 DOI: 10.1007/s10726-023-09849-7
D. Tripathi, Santosh K. Nigam, F. Cavallaro, Pratibha Rani, A. Mishra, Ibrahim M. Hezam
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引用次数: 1
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Group Decision and Negotiation
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