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Group Decision and Negotiation最新文献

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A Multi-criteria Group Decision Making Based on Possibility Degree Matrix and $$mathbb {ZPDHL}$$-VIKOR Method 基于可能性度矩阵和$$mathbb {ZPDHL}$$ -VIKOR方法的多准则群体决策
IF 3 4区 管理学 Q2 MANAGEMENT Pub Date : 2023-03-20 DOI: 10.1007/s10726-023-09820-6
Sidong Xian, Ke Qing, Ling Tang, Huilan Pan
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引用次数: 1
A Graph Model for Conflict Resolution with Time-varying Attitudes and Its Application to China-US Trade Disputes 时变态度冲突解决的图模型及其在中美贸易争端中的应用
IF 3 4区 管理学 Q2 MANAGEMENT Pub Date : 2023-03-03 DOI: 10.1007/s10726-023-09819-z
Shawei He, Xiaohui Liu, Xianmei Li
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引用次数: 0
A Competency Framework for Participatory Modeling 参与式建模的能力框架
IF 3 4区 管理学 Q2 MANAGEMENT Pub Date : 2023-02-23 DOI: 10.1007/s10726-023-09818-0
S. Elsawah, E. Bakhanova, R. Hämäläinen, A. Voinov
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引用次数: 3
The Quality-Signaling Role of Manipulated Consumer Reviews 被操纵的消费者评论的质量信号作用
IF 3 4区 管理学 Q2 MANAGEMENT Pub Date : 2023-02-17 DOI: 10.1007/s10726-022-09812-y
Hui Zhao, Xiaoyuan Wang, Debing Ni, Kevin W. Li
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引用次数: 0
Transforming Sensemaking and Perceptions on Meteorological Data to Inform Emergency Decision-Making 转变对气象数据的感知和理解,为应急决策提供信息
IF 3 4区 管理学 Q2 MANAGEMENT Pub Date : 2023-02-11 DOI: 10.1007/s10726-023-09815-3
Dacy Lobosco, P. V. D. de Carvalho
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引用次数: 0
Facing Reciprocity: How Photos and Avatars Promote Interaction in Micro-communities 面对互惠:照片和化身如何促进微社区互动
IF 3 4区 管理学 Q2 MANAGEMENT Pub Date : 2023-02-08 DOI: 10.1007/s10726-023-09814-4
Timm Teubner, Sonia Camacho
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引用次数: 0
Beyond the First Offer: Decoding Negotiation Openings and Their Impact on Economic and Subjective Outcomes 超越第一次报价:解读谈判开放及其对经济和主观结果的影响
IF 3 4区 管理学 Q2 MANAGEMENT Pub Date : 2023-01-30 DOI: 10.1007/s10726-023-09813-5
Wolfram E. Lipp, R. Smolinski, P. Kesting
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引用次数: 0
A Combined Weighting Based Large Scale Group Decision Making Framework for MOOC Group Recommendation. 基于组合加权的大规模MOOC群体推荐决策框架。
IF 3 4区 管理学 Q2 MANAGEMENT Pub Date : 2023-01-01 DOI: 10.1007/s10726-023-09816-2
Chonghui Zhang, Weihua Su, Sichao Chen, Shouzhen Zeng, Huchang Liao

Massive open online courses (MOOC) are free learning courses based on online platforms for higher education, which not only promote the open sharing of learning resources, but also lead to serious information overload. However, there are many courses on MOOCs, and it can be difficult for users to choose courses that match their individual or group preferences. Therefore, a combined weighting based large-scale group decision-making approach is proposed to implement MOOC group recommendations. First, based on the MOOC operation mode, we decompose the course content into three stages, namely pre-class, in-class, and post-class, and then the curriculum-arrangement-movement- performance evaluation framework is constructed. Second, the probabilistic linguistic criteria importance through intercriteria correlation method is employed to obtain the objective weighting of the criterion. Meanwhile, the word embedding model is utilized to vectorize online reviews, and the subjective weighting of the criteria are acquired by calculating the text similarity. The combined weighting then can be obtained by fusing the subjective and objective weighting. Based on this, the PL-MULTIMIIRA approach and Borda rule is employed to rank the alternatives for group recommendation, and an easy-to-use formula for group satisfaction is proposed to evaluate the effect of the proposed method. Furthermore, a case study is conducted to group recommendations for statistical MOOCs. Finally, the robustness and effectiveness of the proposed approach were verified through sensitivity analysis as well as comparative analysis.

大规模在线开放课程(MOOC)是基于高等教育在线平台的免费学习课程,它既促进了学习资源的开放共享,也导致了严重的信息过载。然而,mooc上有很多课程,用户很难选择符合他们个人或群体偏好的课程。因此,本文提出了一种基于组合加权的大规模群体决策方法来实现MOOC群体建议。首先,基于MOOC的运营模式,将课程内容分解为课前、课中、课后三个阶段,构建课程-安排-运动-绩效评价框架。其次,通过准则间关联法获得概率语言准则的重要性,得到准则的客观权重;同时,利用词嵌入模型对在线评论进行矢量化,并通过计算文本相似度获得评判标准的主观权重。然后将主客观权重融合,得到组合权重。在此基础上,采用PL-MULTIMIIRA方法和Borda规则对群体推荐的备选方案进行排序,并提出一个易于使用的群体满意度公式来评价所提方法的效果。此外,本文还对统计类mooc的分组推荐进行了案例研究。最后,通过灵敏度分析和对比分析验证了该方法的鲁棒性和有效性。
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引用次数: 1
Comparing Algorithms for Fair Allocation of Indivisible Items with Limited Information 有限信息下不可分物品公平分配的比较算法
IF 3 4区 管理学 Q2 MANAGEMENT Pub Date : 2023-01-01 DOI: 10.1007/978-3-031-33780-2_9
Fahimeh Ziaei, D. Kilgour
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引用次数: 0
Applying the AHP to Conflict Resolution: A Russia-NATO Case Study. AHP在冲突解决中的应用:一个俄罗斯-北约案例研究。
IF 3 4区 管理学 Q2 MANAGEMENT Pub Date : 2023-01-01 DOI: 10.1007/s10726-022-09803-z
Marcel C Minutolo, Luis G Vargas, Amos N Guiora, Madhury Ray

In this paper, we apply the Analytic Hierarchy Process approach to conflict resolution in the context of the Russia-Ukraine conflict. We build models that illustrate the evaluation criteria, strategic and sub-criteria, and concessions for each party in this negotiation. Ratings are used to evaluate the degree to which concessions contribute or take away from successful resolution of the conflict. Afterwards, gain ratios are built to determine the benefit-cost scores so that concessions may be traded that result in equitable solutions. The approach presented here demonstrates for the first time why all concessions that parties to a conflict may offer might not trade all at once. A Max-Min optimization approach is used to maximize the gain to both parties of the conflict while minimizing the disparity in gain between the two.

本文以俄乌冲突为背景,将层次分析法应用于冲突解决。我们建立模型来说明评估标准、战略标准和子标准,以及谈判各方的让步。评级用于评估让步对成功解决冲突的贡献或影响程度。然后,建立收益比率来确定收益-成本分数,以便可以交换让步,从而产生公平的解决方案。本文提出的方法首次证明了为什么冲突各方可能提供的所有让步可能不会立即全部交易。最大-最小优化方法用于最大化冲突双方的收益,同时最小化两者之间的收益差异。
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引用次数: 2
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Group Decision and Negotiation
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