aspg-21-4147-1791468639 20261008141039 American Scientific Publishing Group admin@americaspg.com American Scientific Publishing Group International Journal of Neutrosophic Science IJNS 2692-6148 2690-6805 2026 27 1 Phi-Hung Nguyen Research Center of Applied Sciences, Faculty of Business, FPT University, Hanoi 100000, Vietnam Lan-Anh Thi Nguyen Research Center of Applied Sciences, Faculty of Business, FPT University, Hanoi 100000, Vietnam Thi-Lien Nguyen Research Center of Applied Sciences, Faculty of Business, FPT University, Hanoi 100000, Vietnam Anh-Phuong Danh Nguyen Research Center of Applied Sciences, Faculty of Business, FPT University, Hanoi 100000, Vietnam Hong-Nhung Thi Luong Research Center of Applied Sciences, Faculty of Business, FPT University, Hanoi 100000, Vietnam Bao-Giang Nguyen Research Center of Applied Sciences, Faculty of Business, FPT University, Hanoi 100000, Vietnam Thu-Huong Vu Research Center of Applied Sciences, Faculty of Business, FPT University, Hanoi 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Name="Intense Quote"/> Name="Subtle Emphasis"/> Name="Intense Emphasis"/> Name="Subtle Reference"/> Name="Intense Reference"/> UnhideWhenUsed="true" Name="Bibliography"/> UnhideWhenUsed="true" QFormat="true" Name="TOC Heading"/> Name="Grid Table 1 Light Accent 1"/> Name="Grid Table 6 Colorful Accent 1"/> Name="Grid Table 7 Colorful Accent 1"/> Name="Grid Table 1 Light Accent 2"/> Name="Grid Table 6 Colorful Accent 2"/> Name="Grid Table 7 Colorful Accent 2"/> Name="Grid Table 1 Light Accent 3"/> Name="Grid Table 6 Colorful Accent 3"/> Name="Grid Table 7 Colorful Accent 3"/> Name="Grid Table 1 Light Accent 4"/> Name="Grid Table 6 Colorful Accent 4"/> Name="Grid Table 7 Colorful Accent 4"/> Name="Grid Table 1 Light Accent 5"/> Name="Grid Table 6 Colorful Accent 5"/> Name="Grid Table 7 Colorful Accent 5"/> Name="Grid Table 1 Light Accent 6"/> Name="Grid Table 6 Colorful Accent 6"/> Name="Grid Table 7 Colorful Accent 6"/> Name="List Table 1 Light Accent 1"/> Name="List Table 6 Colorful Accent 1"/> Name="List Table 7 Colorful Accent 1"/> Name="List Table 1 Light Accent 2"/> Name="List Table 6 Colorful Accent 2"/> Name="List Table 7 Colorful Accent 2"/> Name="List Table 1 Light Accent 3"/> Name="List Table 6 Colorful Accent 3"/> Name="List Table 7 Colorful Accent 3"/> Name="List Table 1 Light Accent 4"/> Name="List Table 6 Colorful Accent 4"/> Name="List Table 7 Colorful Accent 4"/> Name="List Table 1 Light Accent 5"/> Name="List Table 6 Colorful Accent 5"/> Name="List Table 7 Colorful Accent 5"/> Name="List Table 1 Light Accent 6"/> Name="List Table 6 Colorful Accent 6"/> Name="List Table 7 Colorful Accent 6"/> /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin-top:0in; mso-para-margin-right:0in; mso-para-margin-bottom:8.0pt; mso-para-margin-left:0in; line-height:107%; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri",sans-serif; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:Arial; mso-bidi-theme-font:minor-bidi; mso-ansi-language:TR;} 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. 2026 278 295 4147 https://creativecommons.org/licenses/by/4.0/ 10.54216/IJNS.270125 https://www.americaspg.com/journal/21/article/4147 https://www.americaspg.com/storage/91759872543.pdf