<?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 6</Issue>
      <PubDate PubStatus="epublish">
        <Year>2024</Year>
        <Month>03</Month>
        <Day>30</Day>
      </PubDate>
    </Journal>
    <ArticleTitle>Design and Evaluation of the Organizational Green Chain Model Based on Intellectual Capital in Iraq’s Textile Industry</ArticleTitle>
    <VernacularTitle>Design and Evaluation of the Organizational Green Chain Model Based on Intellectual Capital in Iraq’s Textile Industry</VernacularTitle>
    <FirstPage>40</FirstPage>
    <LastPage>47</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>
      <Author>
        <FirstName></FirstName>
        <LastName></LastName>
        <Affiliation></Affiliation>
      </Author>
    </AuthorList>
    <PublicationType>Journal Article</PublicationType>
    <History>
      <PubDate PubStatus="received">
        <Year>2024</Year>
        <Month>02</Month>
        <Day>13</Day>
      </PubDate>
    </History>
    <Abstract>&lt;p&gt;The aim of the present study is to design and evaluate an organizational green chain model based on intellectual capital in the textile industry of Iraq. This research is exploratory-applied in terms of its objective and descriptive-survey in terms of methodology. The research design follows a mixed-methods approach, combining both qualitative and quantitative methods. The statistical population in the qualitative section includes experts and managers in Iraq's textile industry as well as university professors. A total of 10 individuals were selected for interviews using a combination of snowball and random sampling methods. In the quantitative section, the statistical population includes employees in Iraq’s textile industry. The population is considered unlimited; based on Cochran’s formula, a sample size of 384 participants was determined. The data analysis tool in the qualitative section is thematic analysis, while in the quantitative section it is structural equation modeling using PLS software. The qualitative findings reveal that five main dimensions, along with their components, were extracted from expert interviews. These dimensions include green raw materials, green production processes, sustainable transportation, collaboration with green suppliers, and transparency in sustainable communication. In the quantitative section, the overall model fit, based on the GOF formula, was calculated at 67%, indicating a strong model fit. Additionally, the factor loadings in both first- and second-order constructs were greater than 0.40, confirming the validity of the confirmatory factor analysis.&lt;/p&gt;</Abstract>
    <ObjectList>
      <Object Type="keyword">
        <Param Name="value">green logistics</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">green chain</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">green intellectual capital</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">environment</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">textile industry</Param>
      </Object>
    </ObjectList>
    <ArchiveCopySource DocType="pdf">https://journalrmde.com/index.php/jrmde/article/download/60/55</ArchiveCopySource>
  </Article>
</ArticleSet>
