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<ArticleSet>
  <Article>
    <Journal>
      <PublisherName>The Research Department of Economics and Management of Tadbir Nikan</PublisherName>
      <JournalTitle>Business, Marketing, and Finance Open</JournalTitle>
      <Issn></Issn>
      <Volume></Volume>
      <Issue>In Press</Issue>
      <PubDate PubStatus="epublish">
        <Year>2027</Year>
        <Month>11</Month>
        <Day>01</Day>
      </PubDate>
    </Journal>
    <ArticleTitle>Designing a Productivity Model for an Agile and Digital Supply Chain in the Oil and Gas Industry: A Thematic Analysis Approach</ArticleTitle>
    <VernacularTitle>Designing a Productivity Model for an Agile and Digital Supply Chain in the Oil and Gas Industry: A Thematic Analysis Approach</VernacularTitle>
    <FirstPage>1</FirstPage>
    <LastPage>20</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>2026</Year>
        <Month>04</Month>
        <Day>01</Day>
      </PubDate>
    </History>
    <Abstract>&lt;p&gt;Under conditions of volatility in the global energy market and pressures arising from sanctions, improving supply chain productivity in Iran’s oil and gas industry has become a strategic imperative. This study aimed to design a supply chain productivity model for this industry based on an integrated approach combining agility and digitalization. The research employed a qualitative methodology using systematic thematic analysis based on the six-phase framework developed by Braun and Clarke (2006). The required data were collected and analyzed through 18 in-depth semi-structured interviews with industry experts (11 participants) and academics (7 participants). Based on the findings, a multilayer conceptual model comprising 5 main themes and 13 subthemes was developed. The main themes were: (1) operational agility and resilience, (2) digital integration and data-driven intelligence, (3) human resource and organizational enablers, (4) coordination and collaboration within the supply chain network, and (5) governance and sustainability. The final model demonstrates that achieving sustainable productivity requires the dynamic and systematic interaction of these dimensions. Digital integration and organizational enablers provide the necessary foundation for operational agility and network collaboration, while the entire system is guided within a governance and sustainability framework. This model can provide a framework for planning and evaluating digital transformation and agility initiatives in this strategically important industry.&lt;/p&gt;</Abstract>
    <ObjectList>
      <Object Type="keyword">
        <Param Name="value">supply chain productivity</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">agility</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">digitalization</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">oil and gas industry</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">thematic analysis</Param>
      </Object>
    </ObjectList>
    <ArchiveCopySource DocType="pdf">https://bmfopen.com/index.php/bmfopen/article/download/601/446</ArchiveCopySource>
  </Article>
</ArticleSet>
