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         article-type="Research Paper"
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  <front>
    <journal-meta>
      <journal-title-group>
        <journal-title>International Journal of Management and Sustainability Practices</journal-title>
        <abbrev-journal-title abbrev-type="publisher">IJMSP</abbrev-journal-title>
      </journal-title-group>
      <issn pub-type="epub">3139-5449</issn>
      <publisher>
        <publisher-name>Dr. Sonam Maheshwari</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="publisher-id">IJMSP310006</article-id>
      <title-group>
        <article-title>Insights into Artificial Intelligence Innovation, Challenges, and Emerging Trends in Business Education</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name>
            <surname>Raturi</surname>
            <given-names>Swati</given-names>
          </name>
          <contrib-id contrib-id-type="orcid" authenticated="true">https://orcid.org/0000-0001-7293-6113</contrib-id>
          <xref ref-type="aff" rid="aff1"/>
        </contrib>
      </contrib-group>
      <aff id="aff1">The ICFAI University, Dehradun</aff>
      <pub-date pub-type="epub" iso-8601-date="2026-09-25">
        <month>09</month>
        <day>25</day>
        <year>2026</year>
      </pub-date>
      <volume>1</volume>
      <issue>3</issue>
      <fpage>113</fpage>
      <lpage>117</lpage>
      <permissions>
        <license license-type="open-access" xlink:href="https://creativecommons.org/licenses/by/4.0/">
          <license-p>This article is published under the terms of the Creative Commons license.</license-p>
        </license>
      </permissions>
      <abstract>
        <p>Business education is being disrupted by artificial intelligence (AI), but its real-world uses and effects are still being noted in
different fields of study. Outlining known academic databases from 2000 to 2025 and combining a meticulously chosen set of
related studies is the most profound and stringent means for us to piece together what we know so far. In the study, AI-driven
assessments, adaptive learning platforms, and business simulations were identified as among the most popular benefits. Also, it
demonstrates that virtual assistants, generative AI based feedback, and immersive learning environments are on the rise. There
is still divergence in areas such as inclusiveness, ethical governance, and long-term learning outcomes, although student
engagement, analytical skills, and decision-making skills have been enhanced. According to experts, micro credentialing and
AI-enabled experiential learning are both valuable. As well as issues with data privacy, transparency, and faculty readiness,
expert insights focus on opportunities in micro credentialing, AI-enabled experiential learning, and industry-integrated
curricula. For business education, an AI-assisted learning strategy exhibits strong potential when it comes to promoting
innovation, adaptive learning, and employment prospects. To comprehensively implement them, however, teachers will need
rigorous empirical studies, robust ethical protocols, and regular skills enhancement.</p>
      </abstract>
      <kwd-group kwd-group-type="author">
        <kwd>Artificial Intelligence (AI)</kwd>
        <kwd>Business Education</kwd>
        <kwd>Educational Technology</kwd>
        <kwd>Generative AI</kwd>
        <kwd>Adaptive Learning</kwd>
      </kwd-group>
    </article-meta>
  </front>
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