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  <Article>
    <Journal>
      <PublisherName></PublisherName>
      <JournalTitle>Digital Transformation and Administration Innovation</JournalTitle>
      <Issn></Issn>
      <Volume></Volume>
      <Issue>In Press</Issue>
      <PubDate PubStatus="epublish">
        <Year>2027</Year>
        <Month>05</Month>
        <Day>01</Day>
      </PubDate>
    </Journal>
    <ArticleTitle>Design and Validation of a Model of Trust Formation Mechanisms in Digital Purchase Decision-Making: A Mixed-Methods Approach</ArticleTitle>
    <VernacularTitle>Design and Validation of a Model of Trust Formation Mechanisms in Digital Purchase Decision-Making: A Mixed-Methods Approach</VernacularTitle>
    <FirstPage>1</FirstPage>
    <LastPage>15</LastPage>
    <Language>EN</Language>
    <AuthorList>
      <Author>
        <FirstName></FirstName>
        <LastName></LastName>
        <Affiliation></Affiliation>
      </Author>
      <Author>
        <FirstName></FirstName>
        <LastName></LastName>
        <Affiliation></Affiliation>
      </Author>
      <Author>
        <FirstName></FirstName>
        <LastName></LastName>
        <Affiliation></Affiliation>
      </Author>
      <Author>
        <FirstName></FirstName>
        <LastName></LastName>
        <Affiliation></Affiliation>
      </Author>
    </AuthorList>
    <PublicationType>Journal Article</PublicationType>
    <History>
      <PubDate PubStatus="received">
        <Year>2026</Year>
        <Month>07</Month>
        <Day>28</Day>
      </PubDate>
    </History>
    <Abstract>&lt;p&gt;The present study aimed to design and validate a comprehensive model of the mechanisms underlying trust formation in digital purchase decision-making. This applied study employed an exploratory sequential mixed-methods design. In the qualitative phase, 15 experts in digital marketing, e-commerce, online sales platforms, and business management were selected through purposive and snowball sampling, and semi-structured interviews were conducted until theoretical saturation was achieved. The qualitative data were analyzed through six-phase thematic analysis using MAXQDA, and the extracted components were assessed using the Content Validity Ratio. In the quantitative phase, 384 customers of online shopping platforms participated. A researcher-developed 23-item questionnaire based on the qualitative findings was administered using a five-point Likert scale. The overall Cronbach’s alpha was 0.956, indicating excellent reliability. Descriptive statistics were analyzed in SPSS, while Confirmatory Factor Analysis and Structural Equation Modeling were conducted in AMOS. The measurement model demonstrated satisfactory fit, with CMIN/df = 3.069, GFI = 0.935, IFI = 0.943, TLI = 0.923, CFI = 0.955, NFI = 0.908, and RMSEA = 0.007. All five structural paths to trust formation were positive and statistically significant. Service reliability and customer interaction had the strongest effect (β = 0.908, t = 4.692, p &amp;lt; 0.001), followed by security, privacy, and perceived risk reduction (β = 0.704, t = 6.148, p &amp;lt; 0.001), transparency, honesty, and economic value of the transaction (β = 0.491, t = 5.457, p &amp;lt; 0.001), seller credibility, legitimacy, and social capital (β = 0.312, t = 5.345, p &amp;lt; 0.001), and platform quality and user experience (β = 0.262, t = 5.232, p &amp;lt; 0.001). Trust formation in digital purchase decision-making is a multidimensional process primarily driven by reliable service performance, perceived security and risk reduction, transparent and fair transactions, seller credibility, and platform quality, indicating that sustainable digital trust requires coordinated managerial attention to relational, technological, informational, and service-based mechanisms.&lt;/p&gt;</Abstract>
    <ObjectList>
      <Object Type="keyword">
        <Param Name="value">Digital Trust</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Purchase Decision</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Making</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Online Shopping</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Service Reliability</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Perceived Risk</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Platform Quality</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Mixed</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Methods Research</Param>
      </Object>
    </ObjectList>
    <ArchiveCopySource DocType="pdf">https://www.journaldtai.com/index.php/jdtai/article/download/352/317</ArchiveCopySource>
  </Article>
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