<?xml version="1.0" encoding="UTF-8"?>
<doi_batch version="5.3.1" xmlns="http://www.crossref.org/schema/5.3.1" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:jats="http://www.ncbi.nlm.nih.gov/JATS1" xmlns:ai="http://www.crossref.org/AccessIndicators.xsd" xsi:schemaLocation="http://www.crossref.org/schema/5.3.1 http://www.crossref.org/schema/deposit/crossref5.3.1.xsd">
 <head>
  <doi_batch_id>aspg-21-1930-1791468691</doi_batch_id>
  <timestamp>20261008141131</timestamp>
  <depositor>
   <depositor_name>American Scientific Publishing Group</depositor_name>
   <email_address>admin@americaspg.com</email_address>
  </depositor>
  <registrant>American Scientific Publishing Group</registrant>
 </head>
 <body>
  <journal>
   <journal_metadata language="en">
    <full_title>International Journal of Neutrosophic Science</full_title>
    <abbrev_title>IJNS</abbrev_title>
    <issn media_type="print">2692-6148</issn>
    <issn media_type="electronic">2690-6805</issn>
   </journal_metadata>
   <journal_issue>
    <publication_date media_type="online">
     <year>2023</year>
    </publication_date>
    <journal_volume>
     <volume>21</volume>
    </journal_volume>
    <issue>3</issue>
   </journal_issue>
   <journal_article publication_type="full_text">
    <titles>
     <title>Success Factors in Adopting AI in Human Resource Management in UAE Firms: Neutrosophic Analysis</title>
    </titles>
    <contributors>
     <person_name sequence="first" contributor_role="author">
      <given_name>Abderrahmane</given_name>
      <surname>Bettayeb</surname>
      <affiliations>
       <institution>
        <institution_name>American University in the Emirates, UAE</institution_name>
       </institution>
      </affiliations>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>Muhammad Eid</given_name>
      <surname>Balbaa</surname>
      <affiliations>
       <institution>
        <institution_name>Tashkent State University of Economics, Uzbekistan</institution_name>
       </institution>
      </affiliations>
     </person_name>
    </contributors>
    <jats:abstract>
     <jats:p>The revolutionary breakthroughs of artificial intelligence (AI) are swiftly and extensively invading many domains of human activity, serving as the central driving force of the next wave of informatization progress and industrial revolution. Although artificial intelligence (AI) technology and apps have been extensively explored, and variables affecting AI acceptance have been found, the influence of success factors on the acceptance of AI is still unclear. Thus, this study presents a methodology to investigate the effects of gadgets, organizations, and ecosystems on the acceptance of AI in Human Resource Management (HRM) in the UAE. This study used a neutrosophic set (NS) to overcome the vague information. The NS is integrated with the AHP method to rank the success factors in adopting AI in HRM in UAE. The AHP method is used to give importance to these factors. This study used 12 factors in UAE to rank it by the N-AHP.</jats:p>
    </jats:abstract>
    <publication_date media_type="online">
     <year>2023</year>
    </publication_date>
    <pages>
     <first_page>154</first_page>
     <last_page>165</last_page>
    </pages>
    <publisher_item>
     <item_number item_number_type="article-number">1930</item_number>
    </publisher_item>
    <ai:program name="AccessIndicators">
     <ai:license_ref applies_to="vor">https://creativecommons.org/licenses/by/4.0/</ai:license_ref>
    </ai:program>
    <doi_data>
     <doi>10.54216/IJNS.210315</doi>
     <resource>https://www.americaspg.com/journal/21/article/1930</resource>
     <collection property="text-mining">
      <item>
       <resource mime_type="application/pdf">https://www.americaspg.com/storage/81688836643.pdf</resource>
      </item>
     </collection>
    </doi_data>
   </journal_article>
  </journal>
 </body>
</doi_batch>
