<?xml version="1.0" encoding="UTF-8"?>
<ArticleSet>
  <Article>
    <Journal>
      <PublisherName></PublisherName>
      <JournalTitle>Journal of Resource Management and Decision Engineering</JournalTitle>
      <Issn></Issn>
      <Volume></Volume>
      <Issue>In Press</Issue>
      <PubDate PubStatus="epublish">
        <Year>2026</Year>
        <Month>05</Month>
        <Day>01</Day>
      </PubDate>
    </Journal>
    <ArticleTitle>Validating the Integrated Supply Chain Model Based on the LARG Hybrid Paradigm in the Oil Industry (Case Study: Abadan Oil Refining Company)</ArticleTitle>
    <VernacularTitle>Validating the Integrated Supply Chain Model Based on the LARG Hybrid Paradigm in the Oil Industry (Case Study: Abadan Oil Refining Company)</VernacularTitle>
    <FirstPage>1</FirstPage>
    <LastPage>13</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>2025</Year>
        <Month>10</Month>
        <Day>29</Day>
      </PubDate>
    </History>
    <Abstract>&lt;p&gt;Supply chain management has become one of the key determinants of organizational success in competitive markets, and the LARG hybrid paradigm (Lean, Agile, Resilient, and Green) has been introduced as a comprehensive framework for supply chain optimization. The Iranian oil industry faces challenges such as aging infrastructure, economic sanctions, and environmental requirements, which underscore the necessity of designing an integrated and localized model. The objective of this study was to design and validate an integrated supply chain model based on the LARG paradigm at Abadan Oil Refining Company. The research was conducted using a mixed-methods approach (qualitative–quantitative). In the qualitative phase, meta-synthesis and interviews with 10 experts were employed, while in the quantitative phase, a questionnaire was administered to a sample of 385 participants. Data were analyzed using Fuzzy Delphi, Fuzzy DEMATEL, F.D.ANP, and Structural Equation Modeling techniques. The findings indicated that out of 126 initial indicators, 119 were confirmed. The dimensions of leadership and organizational culture were positioned as causal factors and had significant effects on processes and innovation. All hypotheses were confirmed, and the strongest path coefficient was related to the effect of leadership on processes (β = 0.510). The ranking of LARG components revealed that the Green component (28.1%), Agile (26.3%), Lean (24.5%), and Resilient (21.1%) were prioritized, respectively. The proposed model can serve as a practical tool for enhancing sustainable supply chain performance in the oil industry.&lt;/p&gt;</Abstract>
    <ObjectList>
      <Object Type="keyword">
        <Param Name="value">LARG paradigm</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Abadan Oil Refining Company</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Fuzzy DEMATEL</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">supply chain</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">structural equation modeling</Param>
      </Object>
    </ObjectList>
    <ArchiveCopySource DocType="pdf">https://www.journalrmde.com/index.php/jrmde/article/download/257/251</ArchiveCopySource>
  </Article>
</ArticleSet>
