Advances in Behavioral Decision Analytics and Informatics

A special issue of Mathematics (ISSN 2227-7390).

Deadline for manuscript submissions: 15 November 2024 | Viewed by 1396

Special Issue Editor

Faculty of Business and Management, United International College, Beijing Normal University—Hong Kong Baptist University, Zhuhai, China
Interests: behavioral decision making

Special Issue Information

Dear Colleagues,

Deepening the understanding of human decision-making behaviors is vital and a matter of great concern. It will play a key role in mathematical treatments of behavioral and decision-making models and developing proper approaches/techniques to enhance decision makers' abilities to manage knowledge, information, and data through behavioral, psychological, or informatic means.

This Special Issue will focus on quantitative aspects of behavioral decision analytics and informatic problems related, but not limited, to the nature and mechanisms of individual, organizational, and managerial decision-making. Contributions studying decision-making behaviors from quantitative fields, such as mathematics, econometrics, economics, computer sciences, data sciences, artificial intelligence, and information systems, are highly encouraged. Both theoretical and empirical works will be considered. Empirical contributions in cutting-edge applications, such as e-commerce, digital marketing, social networks, operations management, judgments, emotions, and human behaviors in marketing/organizations/society, are especially encouraged. In general, case studies, including pure empirical studies without quantitative analysis, are not considered suitable for this Special Issue, unless they contain innovative methodological elements.

Dr. Junyi Chai
Guest Editor

Manuscript Submission Information

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Keywords

  • behavioral decision making
  • informatics for decision making
  • multicriteria decision making
  • data-based decision making
  • business decision analytics
  • utility and preference modelling
  • analytics in behavioral anomalies
  • subjective happiness and well being
  • system management in informatics
  • judgement and emotions in decision process

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Published Papers (1 paper)

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21 pages, 1776 KiB  
Systematic Review
Multicriteria Decision-Making in Public Security: A Systematic Review
by Jefferson Costa and Maisa Silva
Mathematics 2024, 12(11), 1754; https://doi.org/10.3390/math12111754 - 5 Jun 2024
Viewed by 831
Abstract
The Multiple Criteria Decision-Making/Analysis (MCDM/A) methods have been widely used in several management contexts. In public security, their use enhances managerial decision-making by considering the decision-maker’s preference structure and providing a multidimensional view of problems. However, methodological support for their applications in this [...] Read more.
The Multiple Criteria Decision-Making/Analysis (MCDM/A) methods have been widely used in several management contexts. In public security, their use enhances managerial decision-making by considering the decision-maker’s preference structure and providing a multidimensional view of problems. However, methodological support for their applications in this field lacks clarity, including selecting appropriate methods, addressing pertinent problematics, and identifying alternatives and criteria. To address this gap, this article conducts a Systematic Literature Review (SLR) to diagnose the state of the art and identify the main directions of the research in multicriteria models applied to public security management. The research methodology involves five main research questions, and the extraction and analysis of data from 51 articles selected through a structured filtering process. The analysis includes identifying the number of publications and citations, as well as listing the MCDM/A approaches and issues employed. Furthermore, the criteria used and the number of criteria considered are discussed, as well as the method employed. Finally, the identification of the main research directions in MCDM/A models applied to public security is presented. The findings suggest that prioritization and classification are common problematics, social criteria are frequently considered, and the AHP method is widely used, often employing fuzzy sets and hybrid models. Full article
(This article belongs to the Special Issue Advances in Behavioral Decision Analytics and Informatics)
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