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Group Decision and Negotiation最新文献

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Ranking Potential Investors Using the FITradeoff Method and Value Focused Thinking in a Group Decision Problem 在群体决策问题中运用fitradoff方法和价值聚焦思维对潜在投资者进行排序
IF 3 4区 管理学 Q1 Social Sciences Pub Date : 2023-01-01 DOI: 10.1007/978-3-031-33780-2_3
Geyse Maia da Silva, E. A. Frej, Adiel Teixeira de Almeida
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引用次数: 0
Towards Artificial Intelligence Augmenting Facilitation: AI Affordances in Macro-Task Crowdsourcing. 走向人工智能增强促进:宏观任务众包中的人工智能支持。
IF 3 4区 管理学 Q1 Social Sciences Pub Date : 2023-01-01 DOI: 10.1007/s10726-022-09801-1
Henner Gimpel, Vanessa Graf-Seyfried, Robert Laubacher, Oliver Meindl

Crowdsourcing holds great potential: macro-task crowdsourcing can, for example, contribute to work addressing climate change. Macro-task crowdsourcing aims to use the wisdom of a crowd to tackle non-trivial tasks such as wicked problems. However, macro-task crowdsourcing is labor-intensive and complex to facilitate, which limits its efficiency, effectiveness, and use. Technological advancements in artificial intelligence (AI) might overcome these limits by supporting the facilitation of crowdsourcing. However, AI's potential for macro-task crowdsourcing facilitation needs to be better understood for this to happen. Here, we turn to affordance theory to develop this understanding. Affordances help us describe action possibilities that characterize the relationship between the facilitator and AI, within macro-task crowdsourcing. We follow a two-stage, bottom-up approach: The initial development stage is based on a structured analysis of academic literature. The subsequent validation & refinement stage includes two observed macro-task crowdsourcing initiatives and six expert interviews. From our analysis, we derive seven AI affordances that support 17 facilitation activities in macro-task crowdsourcing. We also identify specific manifestations that illustrate the affordances. Our findings increase the scholarly understanding of macro-task crowdsourcing and advance the discourse on facilitation. Further, they help practitioners identify potential ways to integrate AI into crowdsourcing facilitation. These results could improve the efficiency of facilitation activities and the effectiveness of macro-task crowdsourcing.

众包具有巨大的潜力:例如,宏观任务众包可以为应对气候变化的工作做出贡献。宏观任务众包旨在利用群体的智慧来解决棘手问题等重要任务。然而,宏观任务众包是劳动密集型的,操作起来很复杂,这限制了它的效率、有效性和使用。人工智能(AI)的技术进步可能会通过支持促进众包来克服这些限制。然而,为了实现这一目标,人工智能在宏观任务众包促进方面的潜力需要得到更好的理解。在这里,我们转向支持理论来发展这种理解。在宏观任务众包中,功能支持帮助我们描述表征促进者和人工智能之间关系的行动可能性。我们遵循两个阶段,自下而上的方法:最初的发展阶段是基于对学术文献的结构化分析。随后的验证和改进阶段包括两个观察到的宏观任务众包计划和六个专家访谈。从我们的分析中,我们得出了七个支持宏观任务众包中的17个促进活动的人工智能功能。我们还确定了说明启示的具体表现。我们的研究结果增加了对宏观任务众包的学术理解,并推动了关于促进的论述。此外,它们还帮助从业者确定将人工智能整合到众包促进中的潜在方法。这些结果可以提高促进活动的效率和宏观任务众包的有效性。
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引用次数: 1
Taxonomy of Styles, Strategies, and Tactics in E-Negotiations 电子谈判的风格、策略和战术分类
IF 3 4区 管理学 Q1 Social Sciences Pub Date : 2023-01-01 DOI: 10.1007/978-3-031-33780-2_1
M. Meyer, M. Schoop
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引用次数: 0
Factors Affecting the Use of Blockchain Technology in Humanitarian Supply Chain: A Novel Fuzzy Large-Scale Group-DEMATEL. 影响区块链技术在人道主义供应链中应用的因素:一种新的模糊大规模群体- dematel。
IF 3 4区 管理学 Q1 Social Sciences Pub Date : 2023-01-01 DOI: 10.1007/s10726-022-09811-z
Lu Chen, Ayad Hendalianpour, Mohammad Reza Feylizadeh, Haiyan Xu

Based on previous evidence, the use of blockchain for improving Supply Chains (SCs) regarding humanitarian projects has received attention over the past five years. The present study is innovative in investigating crucial parameters affecting the using of Blockchain Technology (BT) in Humanitarian Supply Chains (HSCs). More precisely, this study emphasizes parameters that affect blockchain in the HSCs and presents a new fuzzy large-scale group decision-making trial and evaluation laboratory (fuzzy large-scale group-DEMATEL) approach to analyze the interdependence of contributing factors for using BT in HSCs. This method consists of two stages: (1) clustering the large-scale group-experts into small subgroups by their characteristics, and (2) identifying the key factors affecting BT in HSCs with a novel fuzzy large-scale group-DEMATEL approach. According to experts, in this study, among the 25 evaluated factors, disintermediation has been identified as the most important one, followed by anonymity and security. A closer look reveals that 13 and 12 factors have been "cause" and "effect" factors, respectively. Our research can be used to promote the effectiveness of using BT in HSCs, so as to promote the proper distribution of relief materials in practical disasters.

根据之前的证据,在过去的五年中,使用区块链来改善人道主义项目的供应链(SCs)受到了关注。本研究在调查影响在人道主义供应链(hsc)中使用区块链技术(BT)的关键参数方面具有创新性。更准确地说,本研究强调了影响hsc中区块链的参数,并提出了一种新的模糊大规模群体决策试验和评估实验室(模糊大规模群体- dematel)方法来分析hsc中使用BT的影响因素的相互依赖性。该方法分为两个阶段:(1)根据大群体专家的特征将其聚类到小群体中;(2)采用一种新的模糊大群体dematel方法识别影响造血干细胞BT的关键因素。据专家介绍,在本次研究中,在25个评估因素中,非中介化被确定为最重要的因素,其次是匿名性和安全性。仔细一看,有13个和12个因素分别是“因”和“果”因素。我们的研究可以用来促进BT在hsc中的应用效果,从而促进实际灾害中救援物资的合理分配。
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引用次数: 3
Weighted Reward Allocation Mechanism for Data Collection Quality 数据收集质量的加权奖励分配机制
IF 3 4区 管理学 Q1 Social Sciences Pub Date : 2023-01-01 DOI: 10.1007/978-3-031-33780-2_11
Ayato Kitadai, Sinndy Dayana Rico Lugo, Sangjic Lee, Masanori Fujita, N. Nishino
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引用次数: 0
Investigating Students' Satisfaction with Online Collaborative Learning During the COVID-19 Period: An Expectation-Confirmation Model. 新冠肺炎期间学生对在线协作学习的满意度调查:一个期望-确认模型。
IF 3 4区 管理学 Q1 Social Sciences Pub Date : 2023-01-01 Epub Date: 2023-04-15 DOI: 10.1007/s10726-023-09829-x
Xusen Cheng, Ying Bao, Bo Yang, Sihua Chen, Yiting Zuo, Mikko Siponen

The recent outbreak of COVID-19 posed discontinuous disruption to traditional learning modes worldwide. In order to keep social distance, online collaborative learning has become a necessity during the pandemic. However, our understanding of students' well-being and satisfaction with online collaborative learning is limited, especially during the COVID-19 period. Leveraging expectation confirmation theory, this study focuses on the triggers and inhibitors of students' cognitive load during online collaborative learning process and their subsequent satisfaction with the learning mode during the pandemic. We used a mixed-method approach in this study. We conducted a qualitative study with interview data and a quantitative study with surveys. The results indicate several psychological and cognitive antecedents of students' cognitive load during online collaborative learning. Findings also indicate that a high level of cognitive load will decrease students' perceived usefulness of the online learning platform and expectation confirmation, thus leading to a low level of satisfaction with online collaborative learning. This study can provide theoretical and practical implications for a better understanding of online student groups' satisfaction with online collaborative learning during the COVID-19 period.

最近爆发的新冠肺炎对全球传统学习模式造成了不连续的破坏。为了保持社交距离,在疫情期间,在线协作学习已成为必要。然而,我们对学生对在线协作学习的幸福感和满意度的理解是有限的,尤其是在新冠肺炎期间。利用期望确认理论,本研究重点关注学生在在线协作学习过程中认知负荷的触发因素和抑制因素,以及他们随后对疫情期间学习模式的满意度。我们在这项研究中采用了混合方法。我们用访谈数据进行了定性研究,用调查进行了定量研究。研究结果表明,在线协作学习中学生认知负荷的几个心理和认知前因。研究结果还表明,高水平的认知负荷会降低学生对在线学习平台的感知有用性和期望确认,从而导致对在线协作学习的满意度较低。这项研究可以为更好地理解新冠肺炎期间在线学生群体对在线协作学习的满意度提供理论和实践启示。
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引用次数: 1
A Group Decision-Aiding Protocol for Selecting a Post-industrial Cultural Tourism Product in Czeladź Commune in Poland 波兰捷克波兰公社后工业文化旅游产品选择的群体决策辅助协议
IF 3 4区 管理学 Q1 Social Sciences Pub Date : 2023-01-01 DOI: 10.1007/978-3-031-33780-2_5
T. Wachowicz, Marek Czekajski
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引用次数: 0
The More the Merrier? A Machine Learning Analysis of Information Growth in Negotiation Processes 人越多越好?谈判过程中信息增长的机器学习分析
IF 3 4区 管理学 Q1 Social Sciences Pub Date : 2023-01-01 DOI: 10.1007/978-3-031-33780-2_2
Muhammed-Fatih Kaya, M. Schoop
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引用次数: 0
Editorial. 社论。
IF 3 4区 管理学 Q1 Social Sciences Pub Date : 2023-01-01 DOI: 10.1007/s10726-023-09817-1
Gert-Jan de Vreede, Mareike Schoop
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引用次数: 0
A Values-based Approach to Understanding Corporate- Stakeholder Interactions 一种基于价值观的方法来理解企业与利益相关者的互动
IF 3 4区 管理学 Q1 Social Sciences Pub Date : 2022-12-24 DOI: 10.1007/s10726-022-09808-8
Gary G. Kleinman, Dan Palmon
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引用次数: 0
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Group Decision and Negotiation
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