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    <journal-meta>
      <journal-id journal-id-type="publisher-id">IJLTEMAS</journal-id>
      <journal-title-group>
        <journal-title>International Journal of Latest Technology in Engineering, Management &amp; Applied Science (IJLTEMAS)</journal-title>
        <abbrev-journal-title abbrev-type="publisher">IJLTEMAS</abbrev-journal-title>
      </journal-title-group>
      <issn pub-type="epub">2278-2540</issn>
      <publisher>
        <publisher-name>IJLTEMAS</publisher-name>
      </publisher>
    </journal-meta>

    <article-meta>
      <!-- IDs -->
      <article-id pub-id-type="publisher-id">226</article-id>
            <article-id pub-id-type="doi">10.51583/IJLTEMAS.2026.150800032</article-id>
      
      <!-- Categories -->
            <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Analysis</subject>
        </subj-group>
      </article-categories>
      
      <!-- Title -->
      <title-group>
        <article-title>An Integrated Triple–Trickle Fashion Adoption Model for Luxury Fashion in the National Capital Region of India: A JASP-Compatible SEM Path Analysis</article-title>
      </title-group>

      <!-- Authors -->
      <contrib-group>
                <contrib contrib-type="author">
                    <name>
            <surname>Agarwal</surname>
            <given-names>Abhishek</given-names>
          </name>
                              <aff>
            Research Scholar, Department of Business Administration, Annamalai University, Tamil Nadu, India                        <country>India</country>
                      </aff>
                    
        </contrib>
                <contrib contrib-type="author">
                    <name>
            <surname>(Dr.) Selvarasu A</surname>
            <given-names>Prof.</given-names>
          </name>
                              <aff>
            Professor and Research Supervisor, Department of Business Administration, Annamalai University, Tamil Nadu, India                        <country>India</country>
                      </aff>
                    
        </contrib>
              </contrib-group>

      <!-- Volume / Issue / Pages -->
            <volume>15</volume>
                  <issue>8</issue>
                        <fpage>465</fpage>
            <lpage>478</lpage>
            
      <!-- Dates -->
      <history>
                <date date-type="received">
          <day>17</day>
          <month>08</month>
          <year>2026</year>
        </date>
                        <date date-type="accepted">
          <day>22</day>
          <month>08</month>
          <year>2026</year>
        </date>
              </history>

            <pub-date pub-type="epub">
        <day>07</day>
        <month>09</month>
        <year>2026</year>
      </pub-date>
      
      <!-- DOI Self-URI -->
            <self-uri xlink:href="https://doi.org/10.51583/IJLTEMAS.2026.150800032"/>
      
      <!-- Keywords -->
            <kwd-group kwd-group-type="author">
                <kwd>luxury fashion; trickle-down; trickle-up; trickle-across; full latent SEM; theory of planned behaviour; purchase intention; perceived behavioural control; NCR India</kwd>
              </kwd-group>
      
    </article-meta>
  </front>

  <!-- ============================================================ BODY (Abstract) -->
  <body>
        <sec>
      <title>Abstract</title>
      <p>This study re-estimates an integrated Triple–Trickle Fashion Adoption Model for luxury-fashion consumers in the National Capital Region (NCR) of India using a full latent structural equation model rather than standardized construct scores. The revision directly addresses measurement-error attenuation in the structural stage and extends Perceived Behavioural Control (PBC) with annual household income as an observed financial-resource proxy. Data from 800 NCR respondents and 68 item indicators across 14 latent constructs were analysed jointly with covariance-based maximum likelihood using a lavaan/JASP-compatible specification. The full latent model demonstrated excellent approximate fit (χ²=2400.434, df=2224, χ²/df=1.079, CFI=.9946, TLI=.9943, RMSEA=.0100, SRMR=.0336). Purchase Intention was significantly predicted by Trickle-Down (β=.257), Trickle-Up (β=.205), Trickle-Across (β=.135), Attitude (β=.248), Subjective Norm (β=.099), and PBC (β=.193), explaining 41.4% of its variance. Measurement-error adjustment modestly strengthened most structural coefficients and changed one earlier conclusion: Consumer Innovativeness no longer significantly predicted Attitude (β=.066, p=.067). Household income significantly predicted PBC (β=.138, p&lt;.001); freeing this path improved fit by Δχ²(1)=13.699, p&lt;.001 and increased PBC R² from approximately .034 to .052, although substantial unexplained variance remains. Brand Consciousness → PBC is retained only as an exploratory path. The study explicitly limits statistical generalization because the sample is non-probability and urban NCR-specific, and it identifies Cultural Drivers, Social Image, and Perceived Brand Reputation as unmeasured theoretical extensions for future research.</p>
    </sec>
      </body>

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