<?xml version="1.0" encoding="UTF-8"?>
<ArticleSet>
  <Article>
    <Journal>
      <PublisherName></PublisherName>
      <JournalTitle>Journal of Resource Management and Decision Engineering</JournalTitle>
      <Issn></Issn>
      <Volume>3</Volume>
      <Issue>Serial Number 8</Issue>
      <PubDate PubStatus="epublish">
        <Year>2024</Year>
        <Month>09</Month>
        <Day>30</Day>
      </PubDate>
    </Journal>
    <ArticleTitle>Examination and Identification of Critical Success Factors (CSFs) and the Application of Three-Factor Effects in Construction Companies</ArticleTitle>
    <VernacularTitle>Examination and Identification of Critical Success Factors (CSFs) and the Application of Three-Factor Effects in Construction Companies</VernacularTitle>
    <FirstPage>170</FirstPage>
    <LastPage>180</LastPage>
    <Language>EN</Language>
    <AuthorList>
      <Author>
        <FirstName></FirstName>
        <LastName></LastName>
        <Affiliation></Affiliation>
      </Author>
      <Author>
        <FirstName></FirstName>
        <LastName></LastName>
        <Affiliation></Affiliation>
      </Author>
      <Author>
        <FirstName></FirstName>
        <LastName></LastName>
        <Affiliation></Affiliation>
      </Author>
    </AuthorList>
    <PublicationType>Journal Article</PublicationType>
    <History>
      <PubDate PubStatus="received">
        <Year>2024</Year>
        <Month>07</Month>
        <Day>27</Day>
      </PubDate>
    </History>
    <Abstract>&lt;p&gt;The purpose of this study was to identify and analyze the Critical Success Factors (CSFs) and examine the application of three-factor effects in construction companies. To achieve this objective, a systematic review of the literature, extraction of key factors, expert surveys, and data analysis using Delphi, AHP, ANP, and DEMATEL methods were employed. The findings indicated that the success of construction projects is highly dependent on factors related to project planning, team management, and organizational structures. The DEMATEL analysis revealed the causal and effect relationships among the internal criteria, and the final model, using the ANP supermatrix, determined the final weights of the CSFs. Additionally, this research used factor analysis, which identified 10 variables representing the criteria. In order of priority, these include meeting the planned quality standards, cost transparency, selection through tendering, enhancing coordination among project phases, improving teamwork between project designers and contractors, attention to time criteria and reducing delays in project execution, the presence of enforcement guarantees to achieve commitments and increase credibility, user safety, noise pollution during construction, and environmental protection, all of which predict the likelihood of project success. These results can assist project managers in improving performance and reducing risk.&lt;/p&gt;</Abstract>
    <ObjectList>
      <Object Type="keyword">
        <Param Name="value">Project success</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">CSF</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">DEMATEL</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">ANP</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Delphi</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">construction projects</Param>
      </Object>
    </ObjectList>
    <ArchiveCopySource DocType="pdf">https://www.journalrmde.com/index.php/jrmde/article/download/89/216</ArchiveCopySource>
  </Article>
</ArticleSet>
