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  <Article>
    <Journal>
      <PublisherName>ijesm</PublisherName>
      <JournalTitle>International Journal of Engineering, Science and</JournalTitle>
      <PISSN>I</PISSN>
      <EISSN>S</EISSN>
      <Volume-Issue>volume 15,issue 5</Volume-Issue>
      <PartNumber/>
      <IssueTopic>Multidisciplinary</IssueTopic>
      <IssueLanguage>English</IssueLanguage>
      <Season>May 2026</Season>
      <SpecialIssue>N</SpecialIssue>
      <SupplementaryIssue>N</SupplementaryIssue>
      <IssueOA>Y</IssueOA>
      <PubDate>
        <Year>2026</Year>
        <Month>05</Month>
        <Day>20</Day>
      </PubDate>
      <ArticleType>Engineering, Science and Mathematics</ArticleType>
      <ArticleTitle>Artificial Intelligence (AI) and Environmental Sustainability: Transforming Green Practices in Hotels</ArticleTitle>
      <SubTitle/>
      <ArticleLanguage>English</ArticleLanguage>
      <ArticleOA>Y</ArticleOA>
      <FirstPage>15</FirstPage>
      <LastPage>31</LastPage>
      <AuthorList>
        <Author>
          <FirstName>Dr Jaideep</FirstName>
          <LastName>Kaur</LastName>
          <AuthorLanguage>English</AuthorLanguage>
          <Affiliation/>
          <CorrespondingAuthor>N</CorrespondingAuthor>
          <ORCID/>
        </Author>
      </AuthorList>
      <DOI/>
      <Abstract>The integration of Artificial Intelligence (AI) with sustainability initiatives is reshaping the&#13;
&#13;
hospitality sector, particularly in India. This study explores how AI-driven technologies&#13;
&#13;
contribute to environmental sustainability by enhancing operational efficiency, reducing&#13;
&#13;
costs, and improving guest satisfaction. Key applications include smart energy&#13;
&#13;
management systems, AI-based waste monitoring, and water conservation technologies.&#13;
&#13;
Using a combination of primary survey data (n=108) and secondary research, the study&#13;
&#13;
examines consumer awareness, perceived effectiveness, and adoption barriers. Findings&#13;
&#13;
indicate that higher awareness significantly influences perceived effectiveness, while guest&#13;
&#13;
satisfaction strongly impacts willingness to support AI-driven sustainability. However,&#13;
&#13;
challenges such as high implementation costs and limited awareness remain barriers. The&#13;
&#13;
study highlights the need for strategic investments and awareness initiatives to accelerate&#13;
&#13;
AI adoption in sustainable hotel operations.</Abstract>
      <AbstractLanguage>English</AbstractLanguage>
      <Keywords>Artificial Intelligence, Sustainability, Hospitality Industry, Green Practices, Energy Management, Consumer Perception</Keywords>
      <URLs>
        <Abstract>https://ijesm.co.in/ubijournal-v1copy/journals/abstract.php?article_id=16250&amp;title=Artificial Intelligence (AI) and Environmental Sustainability: Transforming Green&#13;
&#13;
Practices in Hotels</Abstract>
      </URLs>
      <References>
        <ReferencesarticleTitle>References</ReferencesarticleTitle>
        <ReferencesfirstPage>16</ReferencesfirstPage>
        <ReferenceslastPage>19</ReferenceslastPage>
        <References/>
      </References>
    </Journal>
  </Article>
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