EURO Journal on Decision Processes最新文献_第2页

A structured group decision support approach within SMEs under industry 5.0: An application on delivery policy selection 工业5.0下中小企业的结构化群体决策支持方法：交付政策选择的应用

IF 2.1

EURO Journal on Decision Processes Pub Date : 2025-01-01 Epub Date: 2025-11-29 DOI: 10.1016/j.ejdp.2025.100064

Jérémy Traversac , François Galasso , Caroline Thierry , Pascale Zarate

{"title":"A structured group decision support approach within SMEs under industry 5.0: An application on delivery policy selection","authors":"Jérémy Traversac , François Galasso , Caroline Thierry , Pascale Zarate","doi":"10.1016/j.ejdp.2025.100064","DOIUrl":"10.1016/j.ejdp.2025.100064","url":null,"abstract":"<div><div>Small and Medium-sized Enterprises (SMEs) have traditionally relied on top-down planning approaches such as Manufacturing Resource Planning II (MRP II), which are increasingly inadequate in addressing the dynamic and uncertain environments shaped by Industry 4.0 and 5.0. These paradigms require organizations to continuously adapt by integrating heterogeneous data, fostering collaboration, and placing humans at the centre of decision-making processes. However, current research on supporting decision-making in SMEs within these contexts remains limited. This paper proposes a structured Group Decision Support System (GDSS) tailored to SMEs, combining a Multi-Criteria Decision-Making (MCDM) approach with a simulation-based planning model. The approach enables actors from different hierarchical levels (strategic, tactical, and operational) to express preferences, compute Key Performance Indicators (KPIs), and collaboratively evaluate alternatives. The approach emphasizes transparency and coherence in decision-making while addressing individual and collective priorities. A didactic case study involving the selection of delivery policies illustrates the applicability and benefits of the proposed approach, allowing users to explore trade-offs, simulate scenarios, and converge towards a shared strategic decision.</div></div>","PeriodicalId":44104,"journal":{"name":"EURO Journal on Decision Processes","volume":"13 ","pages":"Article 100064"},"PeriodicalIF":2.1,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145683867","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Cross-efficiency aggregation method considering bounded rationality: An application to healthcare service 考虑有限理性的交叉效率聚合方法在医疗保健服务中的应用

IF 2.3

EURO Journal on Decision Processes Pub Date : 2025-01-01 Epub Date: 2025-04-16 DOI: 10.1016/j.ejdp.2025.100059

Hao Pan , Guoliang Yang , Yuanyu Lou , Zhongcheng Guan

引用次数: 0

Rewarding organisations for sustainable mobility of their employees: A multi-criteria assessment model and certification framework 奖励员工可持续流动的组织：多标准评估模型和认证框架

IF 2.1

EURO Journal on Decision Processes Pub Date : 2025-01-01 Epub Date: 2025-07-20 DOI: 10.1016/j.ejdp.2025.100061

Marko Bohanec , Davor Kontić , Bernard Ženko , Martin Žnidaršič , Karina Sirk , Rok Vodopivec

{"title":"Rewarding organisations for sustainable mobility of their employees: A multi-criteria assessment model and certification framework","authors":"Marko Bohanec , Davor Kontić , Bernard Ženko , Martin Žnidaršič , Karina Sirk , Rok Vodopivec","doi":"10.1016/j.ejdp.2025.100061","DOIUrl":"10.1016/j.ejdp.2025.100061","url":null,"abstract":"<div><div>The concept of sustainable mobility is aimed at minimising environmental impacts of transportation systems while meeting the needs of individuals and communities. This includes encouraging citizens to choose sustainable modes of transportation: walking, cycling, public transport, carpooling, and telecommuting. We present an approach at rewarding organisations that actively support the sustainable mobility of their employees, and propose a framework for awarding a sustainable mobility certificate to organisations that fulfil sustainable mobility goals and objectives. The assessment is carried out using a qualitative rule-based multi-criteria model, which considers 50 indicators. Other elements of the certification process include methods for assessing the mobility structure of employees in the organisation and its potential for improvement. In this paper, we present the main components of the proposed certification framework and illustrate its application for assessing the status of sustainable mobility of employees at a Slovenian research institute.</div></div>","PeriodicalId":44104,"journal":{"name":"EURO Journal on Decision Processes","volume":"13 ","pages":"Article 100061"},"PeriodicalIF":2.1,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144841047","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Risk attitudes: The central tendency bias 风险态度:集中趋势偏差

IF 1

EURO Journal on Decision Processes Pub Date : 2024-01-01 Epub Date: 2023-11-29 DOI: 10.1016/j.ejdp.2023.100042

Karl Akbari , Markus Eigruber , Rudolf Vetschera

{"title":"Risk attitudes: The central tendency bias","authors":"Karl Akbari , Markus Eigruber , Rudolf Vetschera","doi":"10.1016/j.ejdp.2023.100042","DOIUrl":"10.1016/j.ejdp.2023.100042","url":null,"abstract":"<div><p>Unincentivized measurement instruments of risk attitudes suffer from several weaknesses. One is that respondents do not consistently assign themselves to their respective risk preference categories. In particular, they are subject to a central tendency bias and classify themselves as risk-neutral when they are in fact not. We test the robustness of the central tendency bias in lottery-type questions for risk evaluations and offer an explanation of why respondents behave in a way that contradicts plausible utility models. We explore a wide range of alternative influencing factors, including careless responding, stake levels, deviations in expected value, the cognitive abilities of the respondents, self-assessment of risk attitudes, and monetary incentives. We find that careless responding and higher stakes increase the central tendency bias in risk assessment, while cognitive capabilities and extreme risk self-assessments (both positive and negative) decrease the bias. Deviations in expected value and incentives do not affect the bias. Our study further points to the fact that such problems have to be taken care of explicitly when eliciting risk attitudes.</p></div>","PeriodicalId":44104,"journal":{"name":"EURO Journal on Decision Processes","volume":"12 ","pages":"Article 100042"},"PeriodicalIF":1.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2193943823000158/pdfft?md5=d24e9429425baecfe1d2f0519e910dfc&pid=1-s2.0-S2193943823000158-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138539683","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Editorial for “Recent advances and applications of multi-objective optimization” 多目标优化的最新进展与应用 "编辑

IF 1

EURO Journal on Decision Processes Pub Date : 2024-01-01 Epub Date: 2024-04-18 DOI: 10.1016/j.ejdp.2024.100049

Gulsah Karakaya , Banu Lokman

引用次数: 0

Understanding tourists’ behavior toward transport mode choice by using machine learning methods 利用机器学习方法了解游客的交通方式选择行为

IF 2.3

EURO Journal on Decision Processes Pub Date : 2024-01-01 Epub Date: 2024-11-10 DOI: 10.1016/j.ejdp.2024.100054

Ali Jamal Mahdi , Domokos Esztergár-Kiss

{"title":"Understanding tourists’ behavior toward transport mode choice by using machine learning methods","authors":"Ali Jamal Mahdi , Domokos Esztergár-Kiss","doi":"10.1016/j.ejdp.2024.100054","DOIUrl":"10.1016/j.ejdp.2024.100054","url":null,"abstract":"<div><div>Recently, transportation problems in evolving cities have become increasingly complex thus requiring innovative solutions. The complexity arises from the combination of urbanization, technological advancements, and diverse demographics. Therefore, integrating advanced methodologies, such as machine learning (ML), into transportation planning becomes essential. This study explores the application of ML techniques to predict and understand tourists’ transport mode choices when engaging in leisure activities. A comparative analysis of various ML algorithms including Neural Networks, k-Nearest Neighbor (k-NN), Naive Bayesian, Decision Tree, Support Vector Machines, Discriminant Analysis, and Ensembles reveals distinctive strengths and trade-offs. Based on the results, Neural Networks demonstrate high accuracy, precision, recall, and specificity, which makes the algorithm well-suited to predict transport mode choices. While k-NN exhibits competitive precision and recall, it struggles with specificity and indicates a higher false positive rate. These findings support transportation planners to select the most suitable algorithm according to the desired outcomes. The adoption of these advanced approaches enhances the understanding of travel behavior thus offering valuable tools for developing efficient urban transportation systems.</div></div>","PeriodicalId":44104,"journal":{"name":"EURO Journal on Decision Processes","volume":"12 ","pages":"Article 100054"},"PeriodicalIF":2.3,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142706381","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Corrigendum to “Multi-objective optimization in real-time operation of rainwater harvesting systems” [EURO Journal on Decision Processes Volume 11 (2023) 100039] 对 "雨水收集系统实时运行中的多目标优化"[《欧洲决策过程期刊》第 11 (2023) 100039 卷]的更正

IF 1

EURO Journal on Decision Processes Pub Date : 2024-01-01 Epub Date: 2024-02-21 DOI: 10.1016/j.ejdp.2024.100045

Yi Zhen , Kate Smith-Miles , Tim D. Fletcher , Matthew J. Burns , Rhys A. Coleman

引用次数: 0

PROMETHEE-Cloud: A web app to support multi-criteria decisions PROMETHEE-Cloud：支持多标准决策的网络应用程序

IF 2.3

EURO Journal on Decision Processes Pub Date : 2024-01-01 Epub Date: 2024-10-23 DOI: 10.1016/j.ejdp.2024.100053

Erik Pohl, Jutta Geldermann

引用次数: 0

Multiobjective combinatorial optimization with interactive evolutionary algorithms: The case of facility location problems 采用交互式进化算法的多目标组合优化：设施选址问题案例

IF 1

EURO Journal on Decision Processes Pub Date : 2024-01-01 Epub Date: 2024-02-23 DOI: 10.1016/j.ejdp.2024.100047

Maria Barbati , Salvatore Corrente , Salvatore Greco

{"title":"Multiobjective combinatorial optimization with interactive evolutionary algorithms: The case of facility location problems","authors":"Maria Barbati , Salvatore Corrente , Salvatore Greco","doi":"10.1016/j.ejdp.2024.100047","DOIUrl":"https://doi.org/10.1016/j.ejdp.2024.100047","url":null,"abstract":"<div><p>We consider multiobjective combinatorial optimization problems handled by preference-driven efficient heuristics. They look for the most preferred part of the Pareto front based on some preferences expressed by the user during the process. In general, the Pareto set of efficient solutions is searched for in this case. However, obtaining the Pareto set does not solve the decision problem since one or more solutions, being the most preferred for the user, have to be selected. Therefore, it is necessary to elicit their preferences. What we are proposing can be seen as one of the first structured methodologies in facility location problems to search for optimal solutions taking into account the preferences of the user. To this aim, we use an interactive evolutionary multiobjective optimization procedure called NEMO-II-Ch. It is applied to a real-world multiobjective location problem with many users and many facilities to be located. Several simulations have been performed. The results obtained by NEMO-II-Ch are compared with those obtained by three algorithms knowing the user’s “true” value function that is, instead, unknown to NEMO-II-Ch. They show that in many cases, NEMO-II-Ch finds the best subset of locations more quickly than the methods knowing the whole user’s true preferences.</p></div>","PeriodicalId":44104,"journal":{"name":"EURO Journal on Decision Processes","volume":"12 ","pages":"Article 100047"},"PeriodicalIF":1.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2193943824000037/pdfft?md5=5aad75f065d334330ff4d9a6c2431f38&pid=1-s2.0-S2193943824000037-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140041478","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Dishonesty, neutralisation and nudging 不诚实、中和与暗示

IF 2.3

EURO Journal on Decision Processes Pub Date : 2024-01-01 Epub Date: 2024-07-01 DOI: 10.1016/j.ejdp.2024.100052

Takudzwa Mutyavaviri , Karl van der Schyff , Karen Renaud

{"title":"Dishonesty, neutralisation and nudging","authors":"Takudzwa Mutyavaviri , Karl van der Schyff , Karen Renaud","doi":"10.1016/j.ejdp.2024.100052","DOIUrl":"10.1016/j.ejdp.2024.100052","url":null,"abstract":"<div><p>E-banking offers clients unparalleled convenience but also exposes them to potential fraud from cyber criminals. Traditionally, banks use technical security measures to ameliorate these kinds of threats. These measures, while essential, are not universally efficacious in preventing fraud. It would be wise to augment technical measures with softer measures such as behavioural interventions (i.e., nudges). In this paper, we report on the effectiveness of behavioural nudges designed to dissuade opportunistic “others” from committing e-banking fraud. Here, we report on an investigation into the impact of the deployment of a number of behavioural nudges in an e-banking customer interface. We evaluated their impact through semi-structured interviews with e-banking customers in the United States of America. We found that nudges which emphasise empathy and heightened awareness of traditional security measures were remarkably effective in dissuading dishonesty. Notably, deployment immediately after login yielded optimal results. Our findings highlight the potential of behavioural nudges to reduce e-banking fraud, thereby augmenting traditional technical countermeasures. We conclude with recommendations for future research.</p></div>","PeriodicalId":44104,"journal":{"name":"EURO Journal on Decision Processes","volume":"12 ","pages":"Article 100052"},"PeriodicalIF":2.3,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2193943824000086/pdfft?md5=76a20278e5a448a451a52f62b0cb577e&pid=1-s2.0-S2193943824000086-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141630341","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0