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    Navigating the Complexity of Dispute Management in Construction: A DEMATEL and Bayesian Network Approach

    Source: Journal of Legal Affairs and Dispute Resolution in Engineering and Construction:;2025:;Volume ( 017 ):;issue: 001::page 04524029-1
    Author:
    Mehrnoosh Shojaat
    ,
    Hassan Malekitabar
    ,
    Hossein Haghayegh Isfahani
    DOI: 10.1061/JLADAH.LADR-1143
    Publisher: American Society of Civil Engineers
    Abstract: This study delves into the dynamics of dispute management within the construction industry, a topic that has been underexplored due to the complex interplay of factors and potential dispute scenarios. We employ a novel methodology that integrates the Decision Making Trial and Evaluation Laboratory (DEMATEL) approach with Bayesian network analysis, providing a more comprehensive understanding of these complexities. Our research utilizes simulations and empirical data analysis from the study region, shedding light on the relationships among factors contributing to claims in construction projects. We identify significant factors such as confusing client requirements, personnel changes, and client change mismanagement, and assess their likelihood of occurrence. Our approach allows for a detailed probability analysis of these factors, highlighting the importance of indirect relationships between seemingly unrelated factors. The primary contribution of our work is providing construction managers and stakeholders with valuable insights for informed decision-making, understanding dispute triggers, and facilitating proactive prevention and resolution measures. This research holds significant implications for construction project stakeholders, offering practical insights that extend beyond academic circles. Project managers and practitioners can leverage the findings to enhance claims management strategies and improve project outcomes. The identification of influential factors, such as challenging economic conditions, poor contractor management, and personnel changes, enables proactive risk mitigation. The research methodology, combining Decision Making Trial and Evaluation Laboratory (DEMATEL) and Bayesian approaches, provides a structured framework for understanding the complex interplay of these factors. Practitioners can use the influential relationship map to prioritize and address key factors affecting claim occurrence. The Bayesian network model aids in assessing the probabilities of these factors, guiding resource allocation and risk management efforts. The practical application extends to decision-makers, empowering them to anticipate potential scenarios and make informed choices. By considering both internal and external factors, project teams can tailor their claims management approach to specific project contexts, fostering successful project outcomes.
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      Navigating the Complexity of Dispute Management in Construction: A DEMATEL and Bayesian Network Approach

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    contributor authorMehrnoosh Shojaat
    contributor authorHassan Malekitabar
    contributor authorHossein Haghayegh Isfahani
    date accessioned2025-04-20T10:35:02Z
    date available2025-04-20T10:35:02Z
    date copyright9/27/2024 12:00:00 AM
    date issued2025
    identifier otherJLADAH.LADR-1143.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4305000
    description abstractThis study delves into the dynamics of dispute management within the construction industry, a topic that has been underexplored due to the complex interplay of factors and potential dispute scenarios. We employ a novel methodology that integrates the Decision Making Trial and Evaluation Laboratory (DEMATEL) approach with Bayesian network analysis, providing a more comprehensive understanding of these complexities. Our research utilizes simulations and empirical data analysis from the study region, shedding light on the relationships among factors contributing to claims in construction projects. We identify significant factors such as confusing client requirements, personnel changes, and client change mismanagement, and assess their likelihood of occurrence. Our approach allows for a detailed probability analysis of these factors, highlighting the importance of indirect relationships between seemingly unrelated factors. The primary contribution of our work is providing construction managers and stakeholders with valuable insights for informed decision-making, understanding dispute triggers, and facilitating proactive prevention and resolution measures. This research holds significant implications for construction project stakeholders, offering practical insights that extend beyond academic circles. Project managers and practitioners can leverage the findings to enhance claims management strategies and improve project outcomes. The identification of influential factors, such as challenging economic conditions, poor contractor management, and personnel changes, enables proactive risk mitigation. The research methodology, combining Decision Making Trial and Evaluation Laboratory (DEMATEL) and Bayesian approaches, provides a structured framework for understanding the complex interplay of these factors. Practitioners can use the influential relationship map to prioritize and address key factors affecting claim occurrence. The Bayesian network model aids in assessing the probabilities of these factors, guiding resource allocation and risk management efforts. The practical application extends to decision-makers, empowering them to anticipate potential scenarios and make informed choices. By considering both internal and external factors, project teams can tailor their claims management approach to specific project contexts, fostering successful project outcomes.
    publisherAmerican Society of Civil Engineers
    titleNavigating the Complexity of Dispute Management in Construction: A DEMATEL and Bayesian Network Approach
    typeJournal Article
    journal volume17
    journal issue1
    journal titleJournal of Legal Affairs and Dispute Resolution in Engineering and Construction
    identifier doi10.1061/JLADAH.LADR-1143
    journal fristpage04524029-1
    journal lastpage04524029-14
    page14
    treeJournal of Legal Affairs and Dispute Resolution in Engineering and Construction:;2025:;Volume ( 017 ):;issue: 001
    contenttypeFulltext
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