Beyond Traditional Norms Examining the Efficacy of Civil Liability in Marital Disputes through a Management Science Perspective

This study aims to explore the applicability and efficacy of civil liability in resolving marital disputes through the lens of management science frameworks. As marital disputes grow increasingly complex in modern society, traditional legal frameworks often fail to address these conflicts effectively and equitably. By integrating the principles of civil liability with advanced management science tools, this research investigates how innovative approaches can improve the resolution process. The methodology involves a combination of legal analysis, game theory, and decision-making models to evaluate the effectiveness of civil liability in achieving fair and efficient outcomes. Legal analysis provides the foundational understanding of civil liability principles, while game theory offers insights into strategic interactions between disputing parties. Decision-making models, such as multi-criteria decision analysis (MCDA), are applied to assess the multidimensional outcomes of civil liability mechanisms. The findings indicate that civil liability mechanisms, when aligned with management science principles, not only streamline dispute resolution but also enhance fairness and satisfaction among the involved parties. By leveraging structured decision-making and strategic models, this study demonstrates the potential of civil liability frameworks to bridge the gap between legal norms and practical conflict resolution needs.

Authors

Publication Details

Journal
Academic journal of management and social sciences
Published
2024-12-24
DOI
https://doi.org/10.54097/ky9g3r19
Primary Topic
Dispute Resolution and Class Actions
Type
article
Field-Weighted Citation Impact
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article

Beyond Traditional Norms Examining the Efficacy of Civil Liability in Marital Disputes through a Management Science Perspective

Yongze Chen, Ke An, Xiaoxi Ding, Rui Ye et al.
Academic journal of management and social sciences
Dispute Resolution and Class Actions
article

Beyond Traditional Norms Examining the Efficacy of Civil Liability in Marital Disputes through a Management Science Perspective

Yongze Chen, Ke An, Xiaoxi Ding, Rui Ye, Yu Fan, Jiaxiao Wei
article en

Abstract

This study aims to explore the applicability and efficacy of civil liability in resolving marital disputes through the lens of management science frameworks. As marital disputes grow increasingly complex in modern society, traditional legal frameworks often fail to address these conflicts effectively and equitably. By integrating the principles of civil liability with advanced management science tools, this research investigates how innovative approaches can improve the resolution process. The methodology involves a combination of legal analysis, game theory, and decision-making models to evaluate the effectiveness of civil liability in achieving fair and efficient outcomes. Legal analysis provides the foundational understanding of civil liability principles, while game theory offers insights into strategic interactions between disputing parties. Decision-making models, such as multi-criteria decision analysis (MCDA), are applied to assess the multidimensional outcomes of civil liability mechanisms. The findings indicate that civil liability mechanisms, when aligned with management science principles, not only streamline dispute resolution but also enhance fairness and satisfaction among the involved parties. By leveraging structured decision-making and strategic models, this study demonstrates the potential of civil liability frameworks to bridge the gap between legal norms and practical conflict resolution needs.

Academic journal of management and social sciencesVol. 9(3)
Peace, Justice and strong institutions
Openalex Percentile: Top 58%
Dispute Resolution and Class Actions
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Beyond Traditional Norms Examining the Efficacy of Civil Liability in Marital Disputes through a Management Science Perspective — Yongze Chen, Ke An, et al. · Academic journal of management and social sciences (2024) | TGRS Research Map | TGRS