<?xml version="1.0" encoding="utf-8"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.0 20120330//EN" "JATS-journalpublishing1.dtd">
<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" article-type="article">
  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">RFDS</journal-id>
      <journal-title-group>
        <journal-title>Regional Formation and Development Studies</journal-title>
      </journal-title-group>
      <issn pub-type="epub">2351-6542</issn>
      <issn pub-type="ppub">2029-9370</issn>
      <publisher>
        <publisher-name>KU</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="publisher-id">03_DERKACH</article-id>
      <article-id pub-id-type="doi">10.15181/rfds.v47i3.2760</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Article</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Improving Sustainability in Logistics Through Artificial Intelligence and Distributed Ledger Technologies</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name>
            <surname>Derkach</surname>
            <given-names>Vadym</given-names>
          </name>
          <email xlink:href="mailto:vadym.derkach@ku.lt">vadym.derkach@ku.lt</email>
          <xref ref-type="aff" rid="j_RFDS_aff_000"/>
        </contrib>
        <aff id="j_RFDS_aff_000">Klaipėda University</aff>
      </contrib-group>
      <volume>47</volume>
      <issue>3</issue>
      <fpage>37</fpage>
      <lpage>44</lpage>
      <pub-date pub-type="epub">
        <day>04</day>
        <month>12</month>
        <year>2025</year>
      </pub-date>
      <permissions>
        <ali:free_to_read xmlns:ali="http://www.niso.org/schemas/ali/1.0/"/>
      </permissions>
      <abstract>
        <p>As global pressure increases for sustainable and transparent supply chains, logistics organisations are exploring ways to strengthen</p>
        <p>environmental, social and governance (ESG) performance. This article examines how artificial intelligence (AI) and distributed</p>
        <p>ledger technologies (DLT) contribute to ESG integration in logistics. The study applies a qualitative desk research approach based</p>
        <p>on secondary data from 2017–2025, including sustainability reports, port authority publications, and the industry press. The comparative</p>
        <p>case analysis covers four Baltic logistics actors: the Port of Klaipėda (Lithuania), Vlantana (Lithuania), the Freeport of Riga/</p>
        <p>Baltic Container Terminal (Latvia), and HHLA TK Estonia (Estonia). The findings show that Klaipėda’s LNG, OPS, and hydrogen</p>
        <p>projects enhance environmental outcomes; the Vlantana Norge case exposes social and governance compliance risks; and Riga and</p>
        <p>Tallinn demonstrate governance-oriented digitalisation through 5G networks and blockchain documentation. AI primarily supports</p>
        <p>efficiency and risk detection, while DLT secures the transparency and auditability of ESG data. Together, they function as complementary</p>
        <p>enablers of ESG reporting, though broader adoption requires regulatory alignment, interoperability, and investment in the</p>
        <p>digital infrastructure.</p>
      </abstract>
      <kwd-group>
        <label>Keywords</label>
        <kwd>ESG</kwd>
        <kwd>logistics</kwd>
        <kwd>artificial intelligence</kwd>
        <kwd>distributed ledger</kwd>
      </kwd-group>
      <kwd-group kwd-group-type="JEL CODES">
        <label>JEL CODES</label>
        <kwd>Q01</kwd>
        <kwd>M11</kwd>
        <kwd>O33</kwd>
      </kwd-group>
    </article-meta>
  </front>
</article>
