Review
Multidisciplinary Sciences
Lirong Xia
Summary: Group decision making is a significant and ubiquitous problem, which has been extensively studied in multiple disciplines. Recent progress in building AI-powered intelligent systems, based on uncertain preferences and leveraging principles from various fields, has enabled group decision making to handle a broader spectrum of complex situations.
ANNALS OF THE NEW YORK ACADEMY OF SCIENCES
(2022)
Article
Business
Fredrik Nordin, Annika Ravald
Summary: Currently, marketing is experiencing a significant transformation due to environmental disruptions and advances in marketing technologies. This study addresses the limited research on how marketing managers navigate the complex, volatile, and data-intensive nature of modern marketing environments. By qualitatively analyzing decision-making processes in 15 companies, the study identifies three key characteristics, namely agility, inventiveness, and reflexiveness. The findings provide insights into the cognitive and behavioral processes involved in marketing decision-making and contribute to understanding how managers respond to challenges in modern marketing environments.
JOURNAL OF BUSINESS RESEARCH
(2023)
Article
Business
Antoine Gilbert-Saad, Frank Siedlok, Rod B. McNaughton
Summary: Entrepreneurs, especially those in uncertain environments, rely heavily on heuristics when making strategic decisions. In our study, we conducted 27 semi-structured interviews with founders of newly established ventures to identify the heuristics they used and analyzed their roles and functions. Our findings indicate that heuristics are the primary decision-making strategy for inexperienced entrepreneurs, which help with organizing the venture, projecting the founder's identity onto their ventures, and exchanging information between the venture and the market. We also introduce a new type of heuristics called metacognitive heuristics.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2023)
Article
Computer Science, Information Systems
Zhan Bu, Shanfan Zhang, Shanshan Cao, Jiuchuan Jiang, Yichuan Jiang
Summary: This paper introduces a novel and powerful Community-Aware Empathetic Social Choice (CAESC) model, which considers decision makers in social networks as autonomy-oriented agents. Extensive experiments confirm that neglecting the empathetic effect and community structure usually yields sub-optimal group decisions, while our proposed approaches show significant advantages in candidate ranking and decision efficiency compared to typical empathetic decision making models and recent proposed consensus reaching methods.
INFORMATION SCIENCES
(2023)
Article
Computer Science, Information Systems
Marc Serramia, Maite Lopez-Sanchez, Stefano Moretti, Juan A. Rodriguez-Aguilar
Summary: Decision makers face challenges in comparing and ranking elements based on multiple criteria and personal preferences. This study introduces a new decision-making framework and presents a new method for ranking single elements. It is also proven that the contributions of this study generalize recent results in the field of social choice. The findings are illustrated through a case study on ethical decision-making.
INFORMATION SCIENCES
(2023)
Article
Computer Science, Information Systems
Wenjie Wang, Jianming Zhan, Chao Zhang
Summary: Multi-attribute decision making (MADM) is a crucial part of modern decision sciences, with three-way decisions (3WD) being able to reduce decision risks and improve accuracy compared to traditional two-way decisions (2WD). This paper presents a new 3WD-MADM model based on probabilistic dominance relations, and validates its effectiveness through comparative and experimental analyses.
INFORMATION SCIENCES
(2021)
Article
Mathematics
Meir Kalech
Summary: Coordination and decision-making techniques are essential for establishing teamwork. When selecting a joint task, it is important to consider both agents' preferences and their probability of executing the task. The IMAGINE model gathers data from agents and considers the requisite quorum to determine the optimal decision for the team.
Article
Green & Sustainable Science & Technology
Jan Eise Fokkema, Michiel A. J. uit het Broek, Albert H. Schrotenboer, Martin J. Land, Nicky D. Van Foreest
Summary: This article examines the operation of a profit-maximizing renewable energy producer in a rural area with limited capacity. By utilizing strategic hydrogen reserves to address the uncertainties and intermittencies of energy production, the energy producer is able to generate profits while supplying electricity to a self-sufficient local community. The study emphasizes the importance of considering seasonal demand and production patterns, as well as increasing storage capacity, and highlights that a profit-maximizing hydrogen storage operation alone cannot solve grid congestion.
Article
Automation & Control Systems
Enrique Herrera-Viedma, Ivan Palomares, Cong-Cong Li, Francisco Javier Cabrerizo, Yucheng Dong, Francisco Chiclana, Francisco Herrera
Summary: The article provides an overview of fuzzy and linguistic decision-making trends, studies, methodologies, and models developed in the last 50 years. It discusses core decision-making frameworks and new complex decision-making frameworks that have emerged in recent years. The challenges associated with these frameworks and key guidelines for future research in the field are highlighted.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2021)
Article
Behavioral Sciences
Leah Gray, Mike M. Webster
Summary: Prey species gain benefits from group formations, but blind copying of behavior can lead to the spread of poor information. To impede this, animals have developed information-dampening mechanisms, such as consensus decision making. In the case of Eurasian oystercatchers, the decision of leaving the roosting site is coordinated through local interactions and is influenced by the size of the group.
Article
Multidisciplinary Sciences
Diag Davenport, Yuji K. Winet
Summary: Many important social and policy decisions are made by small groups of people, with the hope that a collective process will yield better and fairer decisions. Our research finds that pivotal voters vote to avoid decision failure and are more likely to vote to punish a target than nonpivotal voters.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2022)
Article
Green & Sustainable Science & Technology
Nassir Ibrahim, Sharon Cox, Robert Mills, Andrew Aftelak, Hanifa Shah
Summary: MOOP methods are important in optimizing decisions for automotive OEMs facing conflicting commercial and environmental objectives due to strict global CO2 emission legislation. Evaluating decision criteria such as vehicle fleet portfolio, customer demand, market requirements, and financial cost can help automotive OEMs select the optimal CO2 management decision. Interactive and objective decision-making approaches like MOOP can more accurately quantify the commercial implications of stricter CO2 emission legislation imposed on automotive OEMs.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Psychology, Multidisciplinary
Lucrezia Savioni, Stefano Triberti, Ilaria Durosini, Gabriella Pravettoni
Summary: This study examines how people make life choices, with a focus on the involvement of System 1 and System 2 cognitive processes. The findings indicate that System 1 is more involved in sentimental choices, while System 2 is more involved in work choices. Additionally, satisfaction in life choices is predicted by the involvement of cognitive systems and individual differences.
CURRENT PSYCHOLOGY
(2023)
Article
Computer Science, Interdisciplinary Applications
Gaocan Gong, Ke Li, Quanbo Zha
Summary: This paper focuses on the issue of fairness in manufacturing, service sector, and government agencies. In group decision making, the consensus can be disrupted and the final solution rejected if decision makers perceive unfairness. Therefore, a consensus model incorporating fairness concern is proposed, specifically looking at the fairness of compensations received by decision makers from a moderator during the consensus reaching process. Social comparison theory and Gini coefficient are used to assess the fairness degrees, and a maximum fairness consensus model with limited cost is proposed to achieve a balanced consensus solution. Additionally, the fairness properties of decision makers are explored, and the applicability and effectiveness of the proposed model are verified through numerical and simulation analyses.
COMPUTERS & INDUSTRIAL ENGINEERING
(2023)
Article
Computer Science, Information Systems
Fanyong Meng, Shyi-Ming Chen
Summary: This paper proposes a group decision making method based on Multiplicative Trapezoidal Fuzzy Preference Relations (MTrFPRs), which combines the advantages of trapezoidal fuzzy numbers and preference relations. The new consistency concept and algorithm are discussed, and the efficiency of the method is demonstrated through an application example.
INFORMATION SCIENCES
(2021)
Article
Economics
Songyot Kitthamkesorn, Anthony Chen, Seungkyu Ryu, Sathaporn Opasanon
Summary: The study introduces a new mathematical model to determine the optimal location of park-and-ride facilities, addressing the limitations of traditional models and considering factors such as route similarity and user heterogeneity.
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
(2024)
