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<article article-type="Research Article">
  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher">journal-of-statistics-and-management-systems</journal-id>
      <journal-title-group>
        <journal-title> Journal of Statistics and Management Systems</journal-title>
      </journal-title-group>
      <issn publication-format="electronic">2169-0014</issn>
      <issn publication-format="print">0972-0510</issn>
      <publisher>
        <publisher-name>Taru Publications</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.47974/JSMS-1710</article-id>
      <title-group>
        <article-title>Role of AI in enabling supply chain 5.0 : Drivers, barriers and critical success factors</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name>
            <surname>Rai</surname>
            <given-names>Akash</given-names>
          </name>
          <aff>Swarrnim School of Management, Commerce &amp; Liberal Arts, Swarrnim Startup &amp; Innovation University, Gandhinagar, Gujarat, 382422, India</aff>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Mandli</surname>
            <given-names>Ruchita</given-names>
          </name>
          <aff>Department of Management, Unitedworld Institute of Management, Karnavati University, Gandhinagar, Gujarat, 384012, India</aff>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Patel</surname>
            <given-names>Kishan</given-names>
          </name>
          <aff>Department of Management, Unitedworld Institute of Management, Karnavati University, Gandhinagar, Gujarat, 384012, India</aff>
        </contrib>
        <contrib contrib-type="author" corresp="yes">
          <name>
            <surname>Sharma</surname>
            <given-names>Tripti</given-names>
          </name>
          <aff>Center of Management Studies and Research, Ganpat University, Mehsana, Gujarat, 384012, India</aff>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Jani</surname>
            <given-names>Hetal</given-names>
          </name>
          <aff>Department of Management, Silver Oak Institute of Business Management (SOIBM), Silver Oak University, Ahmedabad, Gujarat, 382481, India</aff>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Shukla</surname>
            <given-names>Madhu</given-names>
          </name>
          <aff>Department of Artificial Intelligence, Machine Learning &amp; Data Science, Marwadi University, Rajkot, Gujarat, 360003, India</aff>
        </contrib>
      </contrib-group>
      <volume>29</volume>
      <issue>9</issue>
      <fpage>1059</fpage>
      <lpage>1072</lpage>
      <pub-date date-type="pub">
        <day>30</day>
        <month>09</month>
        <year>2026</year>
      </pub-date>
      <abstract>
        <p>Supply Chain 5.0 combines advanced digital technologies with human-centric and sustainable operating principles, and Artificial Intelligence (AI) is central to this shift. This paper examines the drivers, barriers, and critical success factors (CSFs) shaping AI adoption in Supply Chain 5.0. Fifteen factors were identified through literature synthesis and expert consultation, and Interpretive Structural Modeling (ISM) combined with MICMAC analysis was used to establish their hierarchical and driving-dependence relationships. Results show that top management support and government policy are the strongest drivers, while implementation cost, workforce resistance, and integration complexity remain largely dependent outcomes. The resulting framework offers researchers, managers, and policymakers a structured basis for prioritising AI-adoption efforts in supply chain transformation.</p>
      </abstract>
      <kwd-group>
        <kwd>Artificial intelligence</kwd>
        <kwd>Supply chain 5.0</kwd>
        <kwd>Interpretive structural modelling</kwd>
        <kwd>MICMAC analysis</kwd>
        <kwd>Industry 5.0</kwd>
        <kwd>Sustainable operations</kwd>
      </kwd-group>
      <custom-meta-group>
        <custom-meta>
          <meta-name>access</meta-name>
          <meta-value>open</meta-value>
        </custom-meta>
        <custom-meta>
          <meta-name>retracted</meta-name>
          <meta-value>no</meta-value>
        </custom-meta>
      </custom-meta-group>
    </article-meta>
  </front>
</article>
