  <?xml version="1.0"?>
<journal>
 <journal_metadata>
  <full_title>International Journal of Neutrosophic Science</full_title>
  <abbrev_title>IJNS</abbrev_title>
  <issn media_type="print">2690-6805</issn>
  <issn media_type="electronic">2692-6148</issn>
  <doi_data>
   <doi>10.54216/IJNS</doi>
   <resource>https://www.americaspg.com/journals/show/4147</resource>
  </doi_data>
 </journal_metadata>
 <journal_issue>
  <publication_date media_type="print">
   <year>2020</year>
  </publication_date>
  <publication_date media_type="online">
   <year>2020</year>
  </publication_date>
 </journal_issue>
 <journal_article publication_type="full_text">
  <titles>
   <title>Modeling Investor Trust in Supply Chain Finance: A Three-Staged MCDM Model-Based Neutrosophic Sets</title>
  </titles>
  <contributors>
   <organization sequence="first" contributor_role="author">Research Center of Applied Sciences, Faculty of Business, FPT University, Hanoi 100000, Vietnam</organization>
   <person_name sequence="first" contributor_role="author">
    <given_name>Lan</given_name>
    <surname>Lan-Anh</surname>
   </person_name>
   <organization sequence="first" contributor_role="author">Research Center of Applied Sciences, Faculty of Business, FPT University, Hanoi 100000, Vietnam</organization>
   <person_name sequence="additional" contributor_role="author">
    <given_name>Lan-Anh Thi</given_name>
    <surname>Nguyen</surname>
   </person_name>
   <organization sequence="first" contributor_role="author">Research Center of Applied Sciences, Faculty of Business, FPT University, Hanoi 100000, Vietnam</organization>
   <person_name sequence="additional" contributor_role="author">
    <given_name>Thi-Lien</given_name>
    <surname>Nguyen</surname>
   </person_name>
   <organization sequence="first" contributor_role="author">Research Center of Applied Sciences, Faculty of Business, FPT University, Hanoi 100000, Vietnam</organization>
   <person_name sequence="additional" contributor_role="author">
    <given_name>Anh-Phuong Danh</given_name>
    <surname>Nguyen</surname>
   </person_name>
   <organization sequence="first" contributor_role="author">Research Center of Applied Sciences, Faculty of Business, FPT University, Hanoi 100000, Vietnam</organization>
   <person_name sequence="additional" contributor_role="author">
    <given_name>Hong-Nhung Thi</given_name>
    <surname>Luong</surname>
   </person_name>
   <organization sequence="first" contributor_role="author">Research Center of Applied Sciences, Faculty of Business, FPT University, Hanoi 100000, Vietnam</organization>
   <person_name sequence="additional" contributor_role="author">
    <given_name>Bao-Giang</given_name>
    <surname>Nguyen</surname>
   </person_name>
   <organization sequence="first" contributor_role="author">Research Center of Applied Sciences, Faculty of Business, FPT University, Hanoi 100000, Vietnam</organization>
   <person_name sequence="additional" contributor_role="author">
    <given_name>Thu-Huong</given_name>
    <surname>Vu</surname>
   </person_name>
  </contributors>
  <jats:abstract xml:lang="en">
   <jats:p>&#13;
Assessing investor trust is inherently complex, involving multiple interrelated factors and expert opinions that are often uncertain or inconsistent. Traditional Multi-Criteria Decision-Making (MCDM) methods face limitations in addressing such ambiguity, whereas Neutrosophic Sets provide a more robust alternative by separately modeling truth, indeterminacy, and falsity. This study proposes a three-stage Neutrosophic MCDM approach, consisting of NS-Delphi to consolidate expert input, NS-DEMATEL to analyze causal relationships, and NS-COCOSO to rank trust-related criteria, aimed at evaluating the determinants of investor trust in Vietnam’s supply chain finance (SCF) ecosystem. A case study demonstrates how this integrated model effectively captures expert hesitancy and causal interdependence. The findings highlight transparency, regulatory reliability, technological adoption, and ethical conduct as the most influential drivers of trust. Building on these insights, the study recommends several practical and policy-oriented strategies to enhance investor confidence: advancing digital transparency through blockchain and traceability systems, establishing legal safeguards to prevent financial fraud and protect investors, and promoting diversification in logistics investments to attract long-term capital and mitigate systemic risks. These implications provide a structured roadmap for policymakers, financial institutions, and SCF stakeholders seeking to foster a resilient and investor-friendly supply chain finance environment in Vietnam.</jats:p>
  </jats:abstract>
  <publication_date media_type="print">
   <year>2026</year>
  </publication_date>
  <publication_date media_type="online">
   <year>2026</year>
  </publication_date>
  <pages>
   <first_page>278</first_page>
   <last_page>295</last_page>
  </pages>
  <doi_data>
   <doi>10.54216/IJNS.270125</doi>
   <resource>https://www.americaspg.com/articleinfo/21/show/4147</resource>
  </doi_data>
 </journal_article>
</journal>
