Group Decision and Negotiation最新文献

GAN-Based Privacy-Preserving Intelligent Medical Consultation Decision-Making 基于 GAN 的保护隐私的智能医疗会诊决策

IF 3 4区管理学

Group Decision and Negotiation Pub Date : 2024-09-12 DOI: 10.1007/s10726-024-09902-z

Yicheng Gong, Wenlong Wu, Linlin Song

{"title":"GAN-Based Privacy-Preserving Intelligent Medical Consultation Decision-Making","authors":"Yicheng Gong, Wenlong Wu, Linlin Song","doi":"10.1007/s10726-024-09902-z","DOIUrl":"https://doi.org/10.1007/s10726-024-09902-z","url":null,"abstract":"In the era of big data, information leakage during medical consultation has become a crucial factor in patients’ decision-making. This paper presents an intelligent medical decision model that considers patient privacy. The model utilizes data synthesized through a generative adversarial network (GAN) for intelligent training, ensuring privacy protection. First, we formulate a risk-based decision model for three different alternative medical consultation modes, analyzing decision rules related to visiting distance and disease probability. Next, we construct a data-driven intelligent medical decision framework. To address privacy concerns, we employ GAN to generate synthetic data from historical patient records, which is seamlessly incorporated into the decision framework to derive decision rules. Finally, specific patient data is utilized to make informed medical decisions. We validated our model using the random forest algorithm and liver disease patients’ medical decisions. Empirical findings demonstrate that the GAN-based synthetic data improves the nearest-neighbor distance ratio by 12.4% compared to synthetic data with Gaussian noise, thereby enhancing data privacy. Additionally, the GAN-based prediction models outperform the models trained on real data, achieving a notable increase of 6.3% and 4.1% in average accuracy and F1 score, respectively. Notably, the GAN-based intelligent decision-making models surpass four other baseline medical visit decision-making methods with an impressive accuracy of 74.0%. In conclusion, our proposed intelligent medical decision-making model effectively prioritizes user data privacy while enhancing the quality of medical decision-making.","PeriodicalId":47553,"journal":{"name":"Group Decision and Negotiation","volume":null,"pages":null},"PeriodicalIF":3.0,"publicationDate":"2024-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142190986","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

UCD–CE Integration: A Hybrid Approach to Reinforcing User Involvement in Systems Requirements Elicitation and Analysis Tasks UCD-CE 整合：强化用户参与系统需求征询和分析任务的混合方法

IF 3 4区管理学

Group Decision and Negotiation Pub Date : 2024-09-05 DOI: 10.1007/s10726-024-09897-7

Christine Kalumera Akello, Josephine Nabukenya

{"title":"UCD–CE Integration: A Hybrid Approach to Reinforcing User Involvement in Systems Requirements Elicitation and Analysis Tasks","authors":"Christine Kalumera Akello, Josephine Nabukenya","doi":"10.1007/s10726-024-09897-7","DOIUrl":"https://doi.org/10.1007/s10726-024-09897-7","url":null,"abstract":"Requirements elicitation and analysis tasks in user-centered design (UCD) are pivotal for assessing digital systems’ quality and costs. However, these tasks often face challenges due to limited user involvement. This stems from unclear guidelines on how to conduct activities and engage users effectively to achieve their goals during the development process. This study explored how the integration of collaboration engineering (CE) principles with UCD approach could address these challenges. Using an Applied Science / Engineering approach, a UCD-CE process was designed drawing on the Six-layer model of Collaboration. This model aligns the CE steps with UCD principles (why), practices (what), and methods (how). Data collection tools included structured interviews, questionnaires, and observations, supported by techniques like user stories and dialogues, as well as thinkLets, and patterns of collaboration. Formative and summative evaluations were used to validate the UCD-CE process; and the results underscore its strengths, particularly its efficiency in helping users to complete tasks on time, reducing effort in reaching common goals, fostering high user satisfaction, promoting creativity and productivity, ensuring ease-of-use and learnability, and delivering comprehensive outcomes in requirements elicitation and analysis tasks during the development process. Future research aims to assess the practicality of UCD-CE integration in reinforcing user involvement during the UCD design phase.","PeriodicalId":47553,"journal":{"name":"Group Decision and Negotiation","volume":null,"pages":null},"PeriodicalIF":3.0,"publicationDate":"2024-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142191102","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Fostering Psychological Safety in Global Virtual Teams: The Role of Team-Based Interventions and Digital Reminder Nudges 促进全球虚拟团队的心理安全：基于团队的干预和数字提醒的作用

IF 3 4区管理学

Group Decision and Negotiation Pub Date : 2024-08-26 DOI: 10.1007/s10726-024-09899-5

Isabella Seeber, Carolin Fleischmann, Peter Cardon, Jolanta Aritz

引用次数: 0

On the Combinatorial Acceptability Entropy Consensus Metric for Multi-Criteria Group Decisions 论多标准小组决策的组合可接受性熵共识度量法

IF 3 4区管理学

Group Decision and Negotiation Pub Date : 2024-07-30 DOI: 10.1007/s10726-024-09891-z

Jana Goers, Graham Horton

{"title":"On the Combinatorial Acceptability Entropy Consensus Metric for Multi-Criteria Group Decisions","authors":"Jana Goers, Graham Horton","doi":"10.1007/s10726-024-09891-z","DOIUrl":"https://doi.org/10.1007/s10726-024-09891-z","url":null,"abstract":"In group decisions, achieving consensus is important, because it increases commitment to the result. For cooperative groups, Combinatorial Multicriteria Acceptability Analysis (CMAA) is a group decision framework that can achieve consensus efficiently. It is based on a novel Combinatorial Acceptability Entropy (CAE) consensus metric. As an output measure, the CAE metric is unique in its ability to identify the evaluations that have the greatest impact on consensus and to prevent premature consensus. This paper is intended to complement the original CMAA publication by providing additional insights into the CAE consensus metric. The design requirements for the CAE algorithm are presented, and it is shown how these requirements follow from the properties of cooperative decisions. The CAE-based consensus-building algorithm is contrasted both qualitatively and quantitatively with a representative example of the conventional input distance and input averaging approach to multi-criteria consensus-building. A simulation experiment illustrates the ability of the CAE-based algorithm to converge quickly to the correct decision as defined for cooperative decisions. The metric is able to meet a new, more stringent definition of hard consensus. The CAE approach highlights the need to distinguish between competitive and cooperative group decisions. Attention in the literature has been paid almost exclusively to the former type; the CAE approach demonstrates the greater efficiency and effectiveness that can be achieved with an approach that is designed specifically for the latter.","PeriodicalId":47553,"journal":{"name":"Group Decision and Negotiation","volume":null,"pages":null},"PeriodicalIF":3.0,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141862808","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Advancing Content Synthesis in Macro-Task Crowdsourcing Facilitation Leveraging Natural Language Processing 利用自然语言处理推进宏观任务众包促进中的内容合成

IF 3 4区管理学

Group Decision and Negotiation Pub Date : 2024-07-30 DOI: 10.1007/s10726-024-09894-w

Henner Gimpel, Robert Laubacher, Oliver Meindl, Moritz Wöhl, Luca Dombetzki

{"title":"Advancing Content Synthesis in Macro-Task Crowdsourcing Facilitation Leveraging Natural Language Processing","authors":"Henner Gimpel, Robert Laubacher, Oliver Meindl, Moritz Wöhl, Luca Dombetzki","doi":"10.1007/s10726-024-09894-w","DOIUrl":"https://doi.org/10.1007/s10726-024-09894-w","url":null,"abstract":"Macro-task crowdsourcing presents a promising approach to address wicked problems like climate change by leveraging the collective efforts of a diverse crowd. Such macro-task crowdsourcing requires facilitation. However, in the facilitation process, traditionally aggregating and synthesizing text contributions from the crowd is labor-intensive, demanding expertise and time from facilitators. Recent advancements in large language models (LLMs) have demonstrated human-level performance in natural language processing. This paper proposes an abstract design for an information system, developed through four iterations of a prototype, to support the synthesis process of contributions using LLM-based natural language processing. The prototype demonstrated promising results, enhancing efficiency and effectiveness in synthesis activities for macro-task crowdsourcing facilitation. By streamlining the synthesis process, the proposed system significantly reduces the effort to synthesize content, allowing for stronger integration of synthesized content into the discussions to reach consensus, ideally leading to more meaningful outcomes.","PeriodicalId":47553,"journal":{"name":"Group Decision and Negotiation","volume":null,"pages":null},"PeriodicalIF":3.0,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141862807","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Game Model of Stable Cooperation During Resource Distribution in Self-Organized Emergency Management System 自组织应急管理系统资源分配过程中稳定合作的博弈模型

IF 3.6 4区管理学

Group Decision and Negotiation Pub Date : 2024-07-24 DOI: 10.1007/s10726-024-09896-8

Jun Su, Yilin Chen, Dongyu Zhang

引用次数: 0

How Can Risk-Averse and Risk-Taking Approaches be Considered in a Group Multi-Criteria Decision-Making Problem? 如何在集体多标准决策问题中考虑风险规避和风险承担方法？

IF 3 4区管理学

Group Decision and Negotiation Pub Date : 2024-07-22 DOI: 10.1007/s10726-024-09895-9

Siamak Kheybari, Mohammad Reza Mehrpour, Paul Bauer, Alessio Ishizaka

{"title":"How Can Risk-Averse and Risk-Taking Approaches be Considered in a Group Multi-Criteria Decision-Making Problem?","authors":"Siamak Kheybari, Mohammad Reza Mehrpour, Paul Bauer, Alessio Ishizaka","doi":"10.1007/s10726-024-09895-9","DOIUrl":"https://doi.org/10.1007/s10726-024-09895-9","url":null,"abstract":"We propose an alternative decision-making methodology based on adopting a mixed risk-averse and risk-taking behavior, improving the objectivity of decision-making. We demonstrate the methodology by prioritizing Iranian tourism centers’ activity under pandemic conditions, providing insights to policymakers on those to keep active or reduce the activity of – hence, those worth developing ahead of future disease outbreaks. This research follows a three-step methodology. First, criteria for evaluation are identified and categorized into tourist attractions, infrastructure, and healthcare dimensions. Second, criterion weights are calculated based on expert opinions, collected using a best-worst method-based questionnaire. Third, tourism centers are evaluated by employing risk-averse and risk-taking best-worst methods. We identify popular attractions, general services, and drugstore accessibility as the primary indicators of tourist attractions, infrastructure, and healthcare, respectively. By clustering tourism centers using K-means algorithm, we find that, in order, the cities of Semnan, Kerman and Zahedan are the tourism centers most suited to staying active during disease outbreaks. For multi-criteria decision-making problems that rely on experts’ evaluations, the proposed methodology can improve the reliability of decision-making. The methodology and framework presented can be used to support various types of decision-making, including evaluation, ranking, selection or sorting.","PeriodicalId":47553,"journal":{"name":"Group Decision and Negotiation","volume":null,"pages":null},"PeriodicalIF":3.0,"publicationDate":"2024-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141744191","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Large-Scale Group Decision-Making Model Considering Expert Authority Degree and Relationship Evolution Under Social Network 考虑专家权威程度和社会网络下关系演变的大规模群体决策模型

IF 3 4区管理学

Group Decision and Negotiation Pub Date : 2024-07-22 DOI: 10.1007/s10726-024-09892-y

Hong Huo, Ruinan Sun, Hao He, Zongwei Ren

{"title":"A Large-Scale Group Decision-Making Model Considering Expert Authority Degree and Relationship Evolution Under Social Network","authors":"Hong Huo, Ruinan Sun, Hao He, Zongwei Ren","doi":"10.1007/s10726-024-09892-y","DOIUrl":"https://doi.org/10.1007/s10726-024-09892-y","url":null,"abstract":"In Large-Scale Group Decision-Making (LSGDM), effectively implementing consensus models is pivotal for managing decision complexity. While trust-based LSGDM has garnered attention, there remains a need for deeper insights into the dynamics of interexpert trust and the impact of authority effects on the decision-making process. This study introduces a sophisticated model for large-scale group decision-making, incorporating considerations of expert “trustworthiness-authority.” Initially, the study assesses the trustworthiness of experts based on social network relationships and opinion similarity while using background information and consensus levels to establish their authority. Subsequently, experts are categorized into four distinct regions based on their trustworthiness and authority assessments. Furthermore, tailored consensus adjustment methods are proposed for each region based on social contagion theory to facilitate consensus achievement. Additionally, a case study is conducted to demonstrate the rationality and effectiveness of the proposed LSGDM model, considering expert “trustworthiness-authority.” Finally, the necessity and superiority of the proposed model are further verified through comparison analysis and sensitivity analysis.","PeriodicalId":47553,"journal":{"name":"Group Decision and Negotiation","volume":null,"pages":null},"PeriodicalIF":3.0,"publicationDate":"2024-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141785594","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Remanufacturing Mode Selection Based on Non-cooperative Behavior Management in Group Consensus Reaching Process 基于群体共识达成过程中的非合作行为管理的再制造模式选择

IF 3.6 4区管理学

Group Decision and Negotiation Pub Date : 2024-07-16 DOI: 10.1007/s10726-024-09890-0

Mi Zhou, Xin-Yu Fan, Ba-yi Cheng, Jian Wu

引用次数: 0

An Adaptive Core-Nash Bargaining Game Consensus Mechanism for Group Decision Making 用于群体决策的自适应核心-纳什讨价还价博弈共识机制

IF 3 4区管理学

Group Decision and Negotiation Pub Date : 2024-05-29 DOI: 10.1007/s10726-024-09888-8

Jie Tang, Fanyong Meng

引用次数: 0