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  <doi_batch_id>aspg-21-2381-1791468713</doi_batch_id>
  <timestamp>20261008141153</timestamp>
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  <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>2024</year>
    </publication_date>
    <journal_volume>
     <volume>23</volume>
    </journal_volume>
    <issue>2</issue>
   </journal_issue>
   <journal_article publication_type="full_text">
    <titles>
     <title>Crafting a Neutrosophic-Driven Tool to Probe Turnover Propensities in Manufacturing Entities</title>
    </titles>
    <contributors>
     <person_name sequence="first" contributor_role="author">
      <given_name>Shaturaev</given_name>
      <surname>Jakhongir</surname>
      <affiliations>
       <institution>
        <institution_name>Department of Innovative Education, Tashkent State University of Economics, Tashkent, Uzbekistan</institution_name>
       </institution>
      </affiliations>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>Hakimova</given_name>
      <surname>Muhabbat</surname>
      <affiliations>
       <institution>
        <institution_name>Department of Innovative Education, Tashkent State University of Economics, Tashkent, Uzbekistan</institution_name>
       </institution>
      </affiliations>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>Kurbonov</given_name>
      <surname>Khayrilla</surname>
      <affiliations>
       <institution>
        <institution_name>Center of the Engagement of International Ranking Agencies, Tashkent State University of Economics, Tashkent, Uzbekistan</institution_name>
       </institution>
      </affiliations>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>Salim</given_name>
      <surname>Kholmuratov</surname>
      <affiliations>
       <institution>
        <institution_name>Department of Human Resource Management, Tashkent State University of Economics, Tashkent, Uzbekistan</institution_name>
       </institution>
      </affiliations>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>Rajabov</given_name>
      <surname>Nazirjon</surname>
      <affiliations>
       <institution>
        <institution_name>Center of the Engagement of International Ranking Agencies, Tashkent State University of Economics, Tashkent, Uzbekistan</institution_name>
       </institution>
      </affiliations>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>Fayzullaeva</given_name>
      <surname>Nilufar</surname>
      <affiliations>
       <institution>
        <institution_name>Department of Innovative Education, Tashkent State University of Economics, Tashkent, Uzbekistan</institution_name>
       </institution>
      </affiliations>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>Turabekov</given_name>
      <surname>Farxod</surname>
      <affiliations>
       <institution>
        <institution_name>Department of Human Resource Management, Tashkent State University of Economics, Tashkent, Uzbekistan</institution_name>
       </institution>
      </affiliations>
     </person_name>
    </contributors>
    <jats:abstract>
     <jats:p>This research revolves around the development and validation of a tool, driven by Neutrosophic logic, designed to probe turnover propensities in manufacturing entities. The primary objective is to uncover the determinants of turnover in these organizations by assessing employees' intentions to leave. Initially, pilot interviews were conducted to identify turnover factors, and a synthesis of literature and interview insights led to the emergence of key themes. These themes were then utilized to construct a closed-ended questionnaire, which was subsequently employed in surveys. The instrument underwent validation through Exploratory Factor Analysis, confirming the validity of all items. Confirmatory Factor Analysis further established both convergent and discriminant validity, resulting in the exclusion of two items. This unique tool provides empirical researchers with a fresh approach to understanding turnover causes, particularly in the context of non-executive manufacturing personnel. Notably, the focus extends to addressing linguistic barriers by considering workers who may not be proficient in English, emphasizing the need for a scale catering to languages such as Urdu or Hindi.</jats:p>
    </jats:abstract>
    <publication_date media_type="online">
     <year>2024</year>
    </publication_date>
    <pages>
     <first_page>221</first_page>
     <last_page>237</last_page>
    </pages>
    <publisher_item>
     <item_number item_number_type="article-number">2381</item_number>
    </publisher_item>
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     <ai:license_ref applies_to="vor">https://creativecommons.org/licenses/by/4.0/</ai:license_ref>
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    <doi_data>
     <doi>10.54216/IJNS.230218</doi>
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