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  <front>
      <journal-meta>
            <journal-id journal-id-type="issn">2808-0718</journal-id>
            <journal-title-group>
                <journal-title>Indonesian Journal of Business Analytics (IJBA)</journal-title>
                <abbrev-journal-title>Indonesian Journal of Business Analytics (IJBA)</abbrev-journal-title>
            </journal-title-group>
            <issn pub-type="epub">2808-0718</issn>
            <issn pub-type="ppub">2808-0718</issn>
            <publisher>
                <publisher-name>Formosa Publisher</publisher-name>
                <publisher-loc>Jl. Sutomo Ujung No.28 D, Durian, Kecamatan Medan Timur, Kota Medan, Sumatera Utara 20235, Indonesia.</publisher-loc>
            </publisher>
        </journal-meta>
        <article-meta>
            <article-id pub-id-type="doi">10.55927/ijba.v5i4.15256</article-id>
            <article-categories/>
            <title-group>
                <article-title>The Role of Brand Image in Mediating the Influence of Product Completeness and Price Perception on Consumer Repurchase Intention of Clandys in Gianyar</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <given-names>Cok. Gd Unadita</given-names>
                        <surname>Yana</surname>
                    </name>
                    <address>
                        <email>cokunadita28@gmail.com</email>
                    </address>
                    <xref ref-type="corresp" rid="cor-0"/>
                </contrib>
                <contrib contrib-type="author">
                    <name>
                        <given-names>Tjokorda Gde Raka</given-names>
                        <surname>Sukawati</surname>
                    </name>
                </contrib>
                <contrib contrib-type="author">
                    <name>
                        <given-names>Ni Nyoman Rsi</given-names>
                        <surname>Respati</surname>
                    </name>
                </contrib>
            </contrib-group>
            <author-notes>
                <corresp id="cor-0">
                    <bold>Corresponding author: Cok. Gd Unadita Yana</bold>
                    Email:<email>cokunadita28@gmail.com</email>
                </corresp>
            </author-notes>
            <pub-date-not-available/>
            <volume>5</volume>
            <issue>4</issue>
            <issue-title>The Role of Brand Image in Mediating the Influence of Product Completeness and Price Perception on Consumer Repurchase Intention of Clandys in Gianyar</issue-title>
            <fpage>3127</fpage>
            <lpage>3142</lpage>
            <history>
                <date date-type="received" iso-8601-date="2025-6-21">
                    <day>21</day>
                    <month>6</month>
                    <year>2025</year>
                </date>
                <date date-type="rev-recd" iso-8601-date="2025-7-23">
                    <day>23</day>
                    <month>7</month>
                    <year>2025</year>
                </date>
                <date date-type="accepted" iso-8601-date="2025-8-21">
                    <day>21</day>
                    <month>8</month>
                    <year>2025</year>
                </date>
            </history>
            <permissions>
                <copyright-statement>Copyright© 2025 Formosa Publisher</copyright-statement>
                <copyright-holder>Formosa Publisher</copyright-holder>
                <license>
                    <ali:license_ref xmlns:ali="http://www.niso.org/schemas/ali/1.0/">https://creativecommons.org/licenses/by/4.0/</ali:license_ref>
                    <license-p>This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <self-uri xlink:href="https://journal.formosapublisher.org/index.php/ijba" xlink:title="The Role of Brand Image in Mediating the Influence of Product Completeness and Price Perception on Consumer Repurchase Intention of Clandys in Gianyar">The Role of Brand Image in Mediating the Influence of Product Completeness and Price Perception on Consumer Repurchase Intention of Clandys in Gianyar</self-uri>
            <abstract>
                <p>Companies  must  constantly  innovate  in  the  retail 
                industry to stay ahead of the competition and keep 
                customers. Customer satisfaction at Clandys Grosir 
                in Gianyar is impacted by issues including 
                diminishing sales and uneven product 
                completeness. This study is to examine how 
                consumers' perceptions of price and product 
                completeness  affect  their  desire  to  repurchase  at 
                Clandys in Gianyar, and how brand image 
                functions  as  a  mediator  in  this  relationship.  The 
                Sobel test and path analysis are two components of 
                the quantitative research methodology. There were 
                130  responders  in  all,  and  the  sample  was  chosen 
                using  a  non-probability  sampling  technique.  The 
                findings indicate that the impact of price 
                perception and product completeness on 
                repurchase  intention  is  considerably  mediated  by 
                brand image. These results suggest that consumers' 
                propensity  to  repurchase  can  be  increased  by  a 
                strong brand image, well-maintained product 
                completeness, and a favorable price perception. In 
                order to boost customer repurchase intention, 
                Clandy's  should  focus  more  on  these  elements  in 
                their marketing tactics, according to the research's 
                practical implications.</p>
            </abstract>
            <kwd-group>
                <kwd>Brand Image</kwd>
                <kwd>Product Completeness</kwd>
                <kwd>Price Perception</kwd>
                <kwd>Repurchase Intention</kwd>
            </kwd-group>
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      </article-meta>
  </front>
  <body>
    <sec id="introduction">
      <title>INTRODUCTION</title>
        <p>In the era of globalization, business competition is becoming
    increasingly fierce, driving companies to innovate in order to win
    the hearts of consumers. Globalization has also raised the standard
    of living in society, resulting in changes in consumption patterns
    and ways of meeting needs. This phenomenon has encouraged many
    businesses to become more creative and innovative. One of the
    sectors that has experienced rapid growth is the retail business,
    which is now increasingly diverse in meeting consumer needs.</p>
        <p>According to data released by the Gianyar Regency Central
    Statistics Agency (BPS), the implicit index of the Gross Regional
    Domestic Product (GRDP) of Gianyar Regency by business field for the
    2021–2024 period shows that in the wholesale and retail trade
    sector, the index was 144.85% in 2021, 154.87% in 2022, 160.23% in
    2023, and 162.72% in 2024. Accumulated over the years, this data
    shows a significant increase and development, indicating that the
    economic resource capacity and economic structure of Gianyar
    Regency, particularly in the wholesale and retail trade sector, have
    improved. It can be said that businesses operating in the retail
    sector have a substantial impact on the economy of Gianyar
    Regency.</p>
        <p>Based on the results of a preliminary survey involving 25
    respondents regarding Clandys Grosir in Gianyar, it was found that
    the brand image of Clandys Grosir shows strong performance, with all
    25 respondents agreeing that the supermarket is well-known in
    Gianyar. The popularity of Clandys Grosir as a wholesale supermarket
    was also acknowledged, with 19 respondents agreeing with this
    statement. A strong brand image appears to influence consumer
    repurchase intention, where 18 respondents stated that they
    prioritize Clandys Grosir over similar retail stores, and 22
    respondents expressed their intention to revisit the store. However,
    when it comes to the completeness of products available at Clandys
    Grosir, 21 respondents disagreed, indicating that inconsistency in
    product availability at Clandys Grosir is a significant issue for
    many consumers. This underlines the importance for Clandys to
    improve product availability in order to meet consumer expectations
    and needs, as well as to retain consumer intention to return. In
    terms of price perception, 20 respondents agreed that the pricing
    offered by Clandys Grosir is better compared to similar retail
    stores. Thus, the results of the preliminary survey indicate that
    product completeness is still a problem that needs attention, while
    a good price perception certainly contributes to a positive brand
    image, which ultimately affects consumer repurchase intention.</p>
        <p>There are three main factors that influence consumer repurchase
    intention: product completeness, price perception, and brand image.
    When the available products meet consumer expectations, it adds
    value and encourages repeat purchase decisions. Price perception
    also plays an important role, as consumers consider prices to be
    reasonable when they are proportional to the benefits and quality
    received. In addition, brand image plays a major role in building
    trust and emotional connection with consumers, which in turn can
    increase satisfaction. With a strong brand image, retailers not only
    attract new consumers but also retain long-term relationships with
    existing customers. Therefore, it is important to understand how brand image can influence the
    relationship between product completeness and price perception on
    repurchase intention, in order to support the sustainability and
    competitiveness of businesses in the long term.</p>
        <p>Research on the connection between price perception, repurchase
    intention, and product completeness, as well as how brand image may
    mediate this link, is still lacking, nonetheless. Thus, the purpose
    of this study is to investigate how brand image functions as a
    mediator in the interaction among price perception, repurchase
    intention, and product completeness. &quot;The Role of Brand Image
    in Mediating the Influence of Product Completeness and Price
    Perception on Consumer Repurchase Intention at Clandys in
    Gianyar&quot; is the title of the research paper that presents this
    study.</p>
    </sec>
    <sec id="literature-review">
      <title>LITERATURE REVIEW</title>
      <sec id="consumer-behavior">
        <title>Consumer Behavior</title>
          <p>The study of consumer behavior examines the patterns and
      actions of consumers as they choose, use, and buy goods that are
      meant to fulfill their needs. Consumer behavior in this study
      demonstrates how buyers proceed from identifying the desired
      product to making a purchase, followed by an assessment that could
      result in a desire to buy it again.</p>
      </sec>
      <sec id="theory-of-planned-behavior-tpb">
        <title>Theory of Planned Behavior (TPB)</title>
          <p>There are three independent variables in the Theory of Planned
      Behavior. The first is behavior attitude, in which an individual
      assesses a behavior as either positive or negative. Perceived
      social pressure is the second social factor, also referred to as
      the subjective norm. The third is perceived behavioral control,
      which describes how confident a person is in their ability to
      carry out a specific behavior and how easy or difficult they
      believe it to be (Ajzen, 2020).</p>
          <p>Brand Image</p>
          <p>According to Purwaningsih &amp; Rachman (2020), who cite this
      study's brand image indicators, brand image can be assessed b:</p>
        <list list-type="order">
          <list-item>
            <label>(1)</label>
            <p>corporate image,</p>
          </list-item>
          <list-item>
            <label>(2)</label>
            <p>product image, and</p>
          </list-item>
          <list-item>
            <label>(3)</label>
            <p>User persona.</p>
          </list-item>
        </list>
      </sec>
      <sec id="product-completeness">
        <title>Product Completeness</title>
          <p>Kurniawan &amp; Krismonita (2020) are used in this study as the
      indicators of product completeness. They claim that product
      completeness may be assessed by:</p>
        <list list-type="order">
          <list-item>
            <label>(1)</label>
            <p>variety,</p>
          </list-item>
          <list-item>
            <label>(2)</label>
            <p>diversity, and</p>
          </list-item>
          <list-item>
            <label>(3)</label>
            <p>the kinds of brands that are accessible.</p>
          </list-item>
        </list>
          <p>
            <italic>
              <bold>Price Perception</bold>
            </italic>
          </p>
          <p>In this study, the indicators of price perception refer to
      Kamila &amp; Khasanah (2022), who state that price perception can
      be measured through:</p>
        <list list-type="order">
          <list-item>
            <label>(1)</label>
            <p>price affordability,</p>
          </list-item>
          <list-item>
            <label>(2)</label>
            <p>price suitability to product quality,</p>
          </list-item>
          <list-item>
            <label>(3)</label>
            <p>price competitiveness, and</p>
          </list-item>
          <list-item>
            <label>(4)</label>
            <p>price suitability to benefits.</p>
          </list-item>
        </list>
      </sec>
      <sec id="repurchase-intention">
        <title>Repurchase Intention</title>
          <p>In this study, the indicators of repurchase intention refer to
      Setyawati (2019) and Alamsyah (2018), who state that repurchase
      intention can be measured through:</p>
        <list list-type="order">
          <list-item>
            <label>(1)</label>
            <p>the consumer’s intention to revisit,</p>
          </list-item>
          <list-item>
            <label>(2)</label>
            <p>being the top priority in purchases, and</p>
          </list-item>
          <list-item>
            <label>(3)</label>
            <p>recommending to others.</p>
          </list-item>
        </list>
      </sec>
    </sec>
    <sec id="research-method">
      <title>RESEARCH METHOD</title>
        <p>In order to understand, predict, or regulate occurrences, this
    study design employs a quantitative associative approach, which
    seeks to ascertain the association between two or more variables (A.
    W. Kurniawan &amp; Puspitaningtyas, 2016: 33). Exogenous,
    endogenous, and intervening factors are the four categories of
    variables used in this study.</p>
    </sec>
    <sec id="discussion">
      <title>DISCUSSION</title>
      <sec id="data-analysis-results-instrument-validity-test">
        <title>Data Analysis Results Instrument Validity Test</title>
          <p>
            <bold>Table 4.7 Research Instrument Validity Test Results</bold>
          </p>
        <table-wrap>
          <label>Table 4.7 Research Instrument Validity Test Results</label>
          <table>
            <colgroup>
              <col width="38%" />
              <col width="16%" />
              <col width="29%" />
              <col width="17%" />
            </colgroup>
            <thead>
              <tr>
                <th>
                  <bold>Variable</bold>
                </th>
                <th>
                  <bold>Instrument</bold>
                </th>
                <th>
                  <p specific-use="wrapper">
                    <disp-quote>
                      <p>
                        <bold>Pearson Correlation</bold>
                      </p>
                    </disp-quote>
                  </p>
                </th>
                <th>
                  <bold>Description</bold>
                </th>
              </tr>
            </thead>
            <tbody>
              <tr>
                <td>Product Completeness (X1)</td>
                <td>X1.1</td>
                <td>
                  <p specific-use="wrapper">
                    <disp-quote>
                      <p>0.812</p>
                    </disp-quote>
                  </p>
                </td>
                <td>Valid</td>
              </tr>
              <tr>
                <td></td>
                <td>X1.2</td>
                <td>
                  <p specific-use="wrapper">
                    <disp-quote>
                      <p>0.896</p>
                    </disp-quote>
                  </p>
                </td>
                <td>Valid</td>
              </tr>
              <tr>
                <td></td>
                <td>X1.3</td>
                <td>
                  <p specific-use="wrapper">
                    <disp-quote>
                      <p>0.683</p>
                    </disp-quote>
                  </p>
                </td>
                <td>Valid</td>
              </tr>
              <tr>
                <td>Price Perception (X2)</td>
                <td>X2.1</td>
                <td>
                  <p specific-use="wrapper">
                    <disp-quote>
                      <p>0.824</p>
                    </disp-quote>
                  </p>
                </td>
                <td>Valid</td>
              </tr>
              <tr>
                <td></td>
                <td>X2.2</td>
                <td>
                  <p specific-use="wrapper">
                    <disp-quote>
                      <p>0.887</p>
                    </disp-quote>
                  </p>
                </td>
                <td>Valid</td>
              </tr>
              <tr>
                <td></td>
                <td>X2.3</td>
                <td>
                  <p specific-use="wrapper">
                    <disp-quote>
                      <p>0.703</p>
                    </disp-quote>
                  </p>
                </td>
                <td>Valid</td>
              </tr>
              <tr>
                <td></td>
                <td>X2.4</td>
                <td>
                  <p specific-use="wrapper">
                    <disp-quote>
                      <p>0.477</p>
                    </disp-quote>
                  </p>
                </td>
                <td>Valid</td>
              </tr>
              <tr>
                <td>Repurchase Intention (Y)</td>
                <td>Y1.1</td>
                <td>
                  <p specific-use="wrapper">
                    <disp-quote>
                      <p>0.907</p>
                    </disp-quote>
                  </p>
                </td>
                <td>Valid</td>
              </tr>
              <tr>
                <td></td>
                <td>Y1.2</td>
                <td>
                  <p specific-use="wrapper">
                    <disp-quote>
                      <p>0.722</p>
                    </disp-quote>
                  </p>
                </td>
                <td>Valid</td>
              </tr>
              <tr>
                <td></td>
                <td>Y1.3</td>
                <td>
                  <p specific-use="wrapper">
                    <disp-quote>
                      <p>0.748</p>
                    </disp-quote>
                  </p>
                </td>
                <td>Valid</td>
              </tr>
              <tr>
                <td>Brand Image (M)</td>
                <td>M1.1</td>
                <td>
                  <p specific-use="wrapper">
                    <disp-quote>
                      <p>0.829</p>
                    </disp-quote>
                  </p>
                </td>
                <td>Valid</td>
              </tr>
              <tr>
                <td></td>
                <td>M1.2</td>
                <td>
                  <p specific-use="wrapper">
                    <disp-quote>
                      <p>0.928</p>
                    </disp-quote>
                  </p>
                </td>
                <td>Valid</td>
              </tr>
              <tr>
                <td></td>
                <td>M1.3</td>
                <td>
                  <p specific-use="wrapper">
                    <disp-quote>
                      <p>0.623</p>
                    </disp-quote>
                  </p>
                </td>
                <td>Valid</td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
          <p>
            <bold>Source:</bold> Appendix 6 (processed data), 2025</p>
          <p>Table 4.7 shows that all instruments for the research
      variables—product completeness, price perception, repurchase
      intention, and brand image—meet the validity criteria. The Pearson
      correlation values for each instrument are greater than 0.3,
      indicating that these instruments are valid and reliable
      measurement tools for this study.</p>
      </sec>
      <sec id="instrument-reliability-test">
        <title>Instrument Reliability Test</title>
          <p>
            <bold>Table 4.8 Research Instrument Reliability Test Results</bold>
          </p>
        <table-wrap>
          <label>Table 4.8 Research Instrument Reliability Test Results</label>
          <table>
            <colgroup>
              <col width="43%" />
              <col width="35%" />
              <col width="23%" />
            </colgroup>
            <thead>
              <tr>
                <th>Variable</th>
                <th>Cronbach’s Alpha</th>
                <th>Description</th>
              </tr>
            </thead>
            <tbody>
              <tr>
                <td>Product Completeness</td>
                <td>0.712</td>
                <td>Reliable</td>
              </tr>
              <tr>
                <td>Price Perception</td>
                <td>0.710</td>
                <td>Reliable</td>
              </tr>
              <tr>
                <td>Repurchase Intention</td>
                <td>0.707</td>
                <td>Reliable</td>
              </tr>
              <tr>
                <td>Brand Image</td>
                <td>0.715</td>
                <td>Reliable</td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
          <p>
            <bold>Source:</bold> Appendix 6 (processed data), 2025</p>
          <p>Table 4.8 indicates that each variable’s Cronbach’s Alpha
      exceeds 0.60. This confirms that the instruments are reliable,
      meaning they consistently produce stable results when used under
      the same conditions.</p>
      </sec>
      <sec id="classical-assumption-tests">
        <title>Classical Assumption Tests</title>
          <p>The classical assumption tests were conducted using SPSS and
      are presented as follows:</p>
      </sec>
      <sec id="normality-test">
        <title>Normality Test</title>
          <p>
            <bold>Table 4.9 Normality Test Results – Model Structure 1</bold>
          </p>
        <list list-type="bullet">
          <list-item>
            <p>N: 130</p>
          </list-item>
          <list-item>
            <p>Asymp. Sig. (2-tailed): 0.200</p>
          </list-item>
        </list>
      </sec>
      <sec id="table-4.10-normality-test-results-model-structure-2">
        <title>Table 4.10 Normality Test Results – Model Structure 2</title>
        <list list-type="bullet">
          <list-item>
            <p>N: 130</p>
          </list-item>
          <list-item>
            <p>Asymp. Sig. (2-tailed): 0.200</p>
          </list-item>
        </list>
          <p>
            <bold>Source:</bold> Appendix 7 (processed data), 2025</p>
          <p>Since the Asymp. Sig. values are greater than 0.05, both
      regression models are normally distributed.</p>
          <p>
            <bold>Multicollinearity Test</bold>
          </p>
          <p>
            <bold>Table 4.11 Multicollinearity Test – Model Structure 1</bold>
          </p>
        <table-wrap>
          <label>Table 4.11 Multicollinearity Test – Model Structure 1</label>
          <table>
            <colgroup>
              <col width="59%" />
              <col width="27%" />
              <col width="15%" />
            </colgroup>
            <thead>
              <tr>
                <th>Variable</th>
                <th>
                  <p specific-use="wrapper">
                    <disp-quote>
                      <p>Tolerance</p>
                    </disp-quote>
                  </p>
                </th>
                <th>VIF</th>
              </tr>
            </thead>
            <tbody>
              <tr>
                <td>Product Completeness</td>
                <td>
                  <p specific-use="wrapper">
                    <disp-quote>
                      <p>0.997</p>
                    </disp-quote>
                  </p>
                </td>
                <td>1.003</td>
              </tr>
              <tr>
                <td>Price Perception</td>
                <td>
                  <p specific-use="wrapper">
                    <disp-quote>
                      <p>0.997</p>
                    </disp-quote>
                  </p>
                </td>
                <td>1.003</td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
          <p>
            <bold>Table 4.12 Multicollinearity Test – Model Structure 2</bold>
          </p>
        <table-wrap>
          <label>Table 4.12 Multicollinearity Test – Model Structure 2</label>
          <table>
            <colgroup>
              <col width="59%" />
              <col width="27%" />
              <col width="15%" />
            </colgroup>
            <thead>
              <tr>
                <th>Variable</th>
                <th>
                  <p specific-use="wrapper">
                    <disp-quote>
                      <p>Tolerance</p>
                    </disp-quote>
                  </p>
                </th>
                <th>
                  <p specific-use="wrapper">
                    <disp-quote>
                      <p>VIF</p>
                    </disp-quote>
                  </p>
                </th>
              </tr>
            </thead>
            <tbody>
              <tr>
                <td>Product Completeness</td>
                <td>
                  <p specific-use="wrapper">
                    <disp-quote>
                      <p>0.801</p>
                    </disp-quote>
                  </p>
                </td>
                <td>
                  <p specific-use="wrapper">
                    <disp-quote>
                      <p>1.249</p>
                    </disp-quote>
                  </p>
                </td>
              </tr>
              <tr>
                <td>Price Perception</td>
                <td>
                  <p specific-use="wrapper">
                    <disp-quote>
                      <p>0.470</p>
                    </disp-quote>
                  </p>
                </td>
                <td>
                  <p specific-use="wrapper">
                    <disp-quote>
                      <p>2.128</p>
                    </disp-quote>
                  </p>
                </td>
              </tr>
              <tr>
                <td>Brand Image</td>
                <td>
                  <p specific-use="wrapper">
                    <disp-quote>
                      <p>0.412</p>
                    </disp-quote>
                  </p>
                </td>
                <td>
                  <p specific-use="wrapper">
                    <disp-quote>
                      <p>2.427</p>
                    </disp-quote>
                  </p>
                </td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
          <p>
            <bold>Source:</bold> Appendix 7 (processed data), 2025</p>
          <p>All tolerance values are above 0.10 and VIF values are below
      10, indicating that the regression models are free from
      multicollinearity.</p>
          <p>
            <bold>Heteroscedasticity Test</bold>
          </p>
        <p>
          <bold>Table 4.13 Heteroscedasticity Test – Model Structure 1</bold>
        </p>
        <table-wrap>
          <label>Table 4.13 Heteroscedasticity Test – Model Structure 1</label>
          <table>
            <colgroup>
              <col width="67%" />
              <col width="33%" />
            </colgroup>
            <thead>
              <tr>
                <th>
                  <bold>Variable</bold>
                </th>
                <th>
                  <p specific-use="wrapper">
                    <disp-quote>
                      <p>
                        <bold>Sig. Value</bold>
                      </p>
                    </disp-quote>
                  </p>
                </th>
              </tr>
            </thead>
            <tbody>
              <tr>
                <td>Product Completeness</td>
                <td>
                  <p specific-use="wrapper">
                    <disp-quote>
                      <p>0.509</p>
                    </disp-quote>
                  </p>
                </td>
              </tr>
              <tr>
                <td>Price Perception</td>
                <td>
                  <p specific-use="wrapper">
                    <disp-quote>
                      <p>0.497</p>
                    </disp-quote>
                  </p>
                </td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
        <p>
          <bold>Table 4.14 Heteroscedasticity Test – Model Structure 2</bold>
        </p>
        <table-wrap>
          <label>Table 4.14 Heteroscedasticity Test – Model Structure 2</label>
          <table>
            <colgroup>
              <col width="67%" />
              <col width="33%" />
            </colgroup>
            <thead>
              <tr>
                <th>
                  <bold>Variable</bold>
                </th>
                <th>
                  <bold>Sig. Value</bold>
                </th>
              </tr>
            </thead>
            <tbody>
              <tr>
                <td>Product Completeness</td>
                <td>0.170</td>
              </tr>
              <tr>
                <td>Price Perception</td>
                <td>0.057</td>
              </tr>
              <tr>
                <td>Brand Image</td>
                <td>0.172</td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
          <p>
            <bold>Source:</bold> Appendix 7 (processed data), 2025</p>
          <p>All significance values are greater than 0.05, indicating that
      the regression models do not exhibit heteroscedasticity
      symptoms.</p>
      </sec>
      <sec id="path-analysis">
        <title>Path Analysis</title>
          <p>
            <bold>Table 4.15 Regression Equation Path Analysis – Model 1</bold>
          </p>
        <table-wrap>
          <label>Table 4.15 Regression Equation Path Analysis – Model 1</label>
          <table>
            <colgroup>
              <col width="54%" />
              <col width="20%" />
              <col width="26%" />
            </colgroup>
            <thead>
              <tr>
                <th>
                  <bold>Variable</bold>
                </th>
                <th>
                  <bold>Beta (β)</bold>
                </th>
                <th>
                  <p specific-use="wrapper">
                    <disp-quote>
                      <p>
                        <bold>Sig. Value</bold>
                      </p>
                    </disp-quote>
                  </p>
                </th>
              </tr>
            </thead>
            <tbody>
              <tr>
                <td>Product Completeness</td>
                <td>0.319</td>
                <td>
                  <p specific-use="wrapper">
                    <disp-quote>
                      <p>0.000</p>
                    </disp-quote>
                  </p>
                </td>
              </tr>
              <tr>
                <td>Price Perception</td>
                <td>0.681</td>
                <td>
                  <p specific-use="wrapper">
                    <disp-quote>
                      <p>0.000</p>
                    </disp-quote>
                  </p>
                </td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
        <list list-type="bullet">
          <list-item>
            <p>R² = 0.588</p>
          </list-item>
          <list-item>
            <p>F Statistic = 90.624</p>
          </list-item>
          <list-item>
            <p>Sig. F = 0.000</p>
          </list-item>
        </list>
          <p><bold>Source:</bold> Appendix 8 (processed data), 2025 This means:</p>
        <list list-type="bullet">
          <list-item>
            <p>An increase in product completeness will increase brand image
        by 0.319.</p>
          </list-item>
          <list-item>
            <p>An increase in price perception will increase brand image by
        0.681.</p>
          </list-item>
          <list-item>
            <p>58.8% of the variance in brand image is explained by product
        completeness and price perception.</p>
          </list-item>
        </list>
      </sec>
      <sec id="table-4.16-regression-equation-path-analysis-model-2">
        <title>Table 4.16 Regression Equation Path Analysis – Model 2</title>
        <table-wrap>
          <label>Table 4.16 Regression Equation Path Analysis – Model 2</label>
          <table>
            <colgroup>
              <col width="55%" />
              <col width="20%" />
              <col width="25%" />
            </colgroup>
            <thead>
              <tr>
                <th>Variable</th>
                <th>
                  <p specific-use="wrapper">
                    <disp-quote>
                      <p>Beta (β)</p>
                    </disp-quote>
                  </p>
                </th>
                <th>
                  <p specific-use="wrapper">
                    <disp-quote>
                      <p>Sig. Value</p>
                    </disp-quote>
                  </p>
                </th>
              </tr>
            </thead>
            <tbody>
              <tr>
                <td>Product Completeness</td>
                <td>
                  <p specific-use="wrapper">
                    <disp-quote>
                      <p>0.181</p>
                    </disp-quote>
                  </p>
                </td>
                <td>
                  <p specific-use="wrapper">
                    <disp-quote>
                      <p>0.003</p>
                    </disp-quote>
                  </p>
                </td>
              </tr>
              <tr>
                <td>Price Perception</td>
                <td>
                  <p specific-use="wrapper">
                    <disp-quote>
                      <p>0.224</p>
                    </disp-quote>
                  </p>
                </td>
                <td>
                  <p specific-use="wrapper">
                    <disp-quote>
                      <p>0.005</p>
                    </disp-quote>
                  </p>
                </td>
              </tr>
              <tr>
                <td>Brand Image</td>
                <td>
                  <p specific-use="wrapper">
                    <disp-quote>
                      <p>0.546</p>
                    </disp-quote>
                  </p>
                </td>
                <td>
                  <p specific-use="wrapper">
                    <disp-quote>
                      <p>0.000</p>
                    </disp-quote>
                  </p>
                </td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
        <list list-type="bullet">
          <list-item>
            <p>R² = 0.627</p>
          </list-item>
          <list-item>
            <p>F Statistic = 70.690</p>
          </list-item>
          <list-item>
            <p>Sig. F = 0.000</p>
          </list-item>
        </list>
          <p>
            <bold>Source:</bold> Appendix 8 (processed data), 2025 This means:</p>
        <list list-type="bullet">
          <list-item>
            <p>Product completeness increases repurchase intention by 0.181.</p>
          </list-item>
          <list-item>
            <p>Price perception increases repurchase intention by 0.224.</p>
          </list-item>
          <list-item>
            <p>Brand image increases repurchase intention by 0.546.</p>
          </list-item>
          <list-item>
            <p>62.7% of repurchase intention is explained by these three
        variables.</p>
          </list-item>
        </list>
          <p>Calculation of Error Values and Total Determination Coefficient</p>
        <list list-type="bullet">
          <list-item>
            <p>Pe₁ = √(1 - R₁²) = √(1 - 0.588) = 0.642</p>
          </list-item>
          <list-item>
            <p>Pe₂ = √(1 - R₂²) = √(1 - 0.627) = 0.611</p>
          </list-item>
          <list-item>
            <p>R²m = 1 - (Pe₁² × Pe₂²) = 1 - (0.412 × 0.373) = 1 - 0.153 =
        0.847</p>
          </list-item>
        </list>
          <p>In order to understand, predict, or regulate occurrences, this
      study design employs a quantitative associative approach, which
      seeks to ascertain the association between two or more variables
      (A. W. Kurniawan &amp; Puspitaningtyas, 2016: 33). Exogenous,
      endogenous, and intervening factors are the four categories of
      variables used in this study.</p>
      </sec>
      <sec id="direct-effects">
        <title>Direct Effects</title>
        <list list-type="bullet">
          <list-item>
            <p>X1 → Y = 0.181</p>
          </list-item>
          <list-item>
            <p>X2 → Y = 0.224</p>
          </list-item>
          <list-item>
            <p>X1 → M = 0.319</p>
          </list-item>
          <list-item>
            <p>X2 → M = 0.681</p>
          </list-item>
          <list-item>
            <p>M → Y = 0.546</p>
          </list-item>
        </list>
      </sec>
      <sec id="indirect-effects">
        <title>Indirect Effects</title>
        <list list-type="bullet">
          <list-item>
            <p>X1 → Y through M = 0.319 × 0.546 = 0.174</p>
          </list-item>
          <list-item>
            <p>X2 → Y through M = 0.681 × 0.546 = 0.372</p>
          </list-item>
        </list>
      </sec>
      <sec id="total-effects">
        <title>Total Effects</title>
        <list list-type="bullet">
          <list-item>
            <p>X1 → Y = 0.181 + 0.174 = 0.355</p>
          </list-item>
          <list-item>
            <p>X2 → Y = 0.224 + 0.372 = 0.596</p>
          </list-item>
        </list>
        <disp-quote>
          <p>Simultaneous Path Coefficient (F Test)</p>
        </disp-quote>
      </sec>
      <sec id="table-4.17-f-test-results-anova">
        <title>Table 4.17 F Test Results – ANOVA</title>
        <table-wrap>
          <label>Table 4.17 F Test Results – ANOVA</label>
          <table>
            <colgroup>
              <col width="44%" />
              <col width="56%" />
            </colgroup>
            <thead>
              <tr>
                <th>
                  <bold>F Count</bold>
                </th>
                <th>
                  <p specific-use="wrapper">
                    <disp-quote>
                      <p>
                        <bold>Sig. Value</bold>
                      </p>
                    </disp-quote>
                  </p>
                </th>
              </tr>
            </thead>
            <tbody>
              <tr>
                <td>90.624</td>
                <td>
                  <p specific-use="wrapper">
                    <disp-quote>
                      <p>0.000</p>
                    </disp-quote>
                  </p>
                </td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
          <p>
            <bold>Source:</bold> Appendix 8 (processed data), 2025</p>
          <p>Given that the significance value is less than 0.05, H0 is
      rejected and H1 is accepted, suggesting that repurchase intention
      is significantly impacted by brand image, price perception, and
      product completeness all at the same time.</p>
      </sec>
      <sec id="partial-path-coefficient-t-test">
        <title>Partial Path Coefficient (t Test)</title>
        <list list-type="bullet">
          <list-item>
            <p>Product Completeness → Repurchase Intention</p>
          </list-item>
        </list>
          <p>Sig. = 0.003 &lt; 0.05, β = 0.181 → significant positive effect</p>
        <list list-type="bullet">
          <list-item>
            <p>Price Perception → Repurchase Intention</p>
          </list-item>
        </list>
          <p>Sig. = 0.005 &lt; 0.05, β = 0.224 → significant positive
      effect</p>
        <list list-type="bullet">
          <list-item>
            <p>Product Completeness → Brand Image</p>
          </list-item>
        </list>
          <p>Sig. = 0.000 &lt; 0.05, β = 0.319 → significant positive
      effect</p>
        <list list-type="bullet">
          <list-item>
            <p>Price Perception → Brand Image</p>
          </list-item>
        </list>
          <p>Sig. = 0.000 &lt; 0.05, β = 0.681 → significant positive
      effect</p>
        <list list-type="bullet">
          <list-item>
            <p>Brand Image → Repurchase Intention</p>
          </list-item>
        </list>
          <p>Sig. = 0.000 &lt; 0.05, β = 0.546 → significant positive effect</p>
          <p>Source: Appendix 8 (processed data), 2025 Figure 4.1 Final Path
      Model Validation Diagram</p>
          <p>The size of the direct, indirect, and total impacts between
      variables can be computed using the path diagram shown in Figure
      4.1. Table 4.18 provides the following summary of the effects
      between variables:</p>
      </sec>
      <sec id="table-4.18-summary-of-direct-indirect-and-total-effects">
        <title>Table 4.18 Summary of Direct, Indirect, and Total Effects</title>
        <table-wrap>
          <label>Table 4.18 Summary of Direct, Indirect, and Total Effects</label>
          <table>
            <colgroup>
              <col width="21%" />
              <col width="18%" />
              <col width="29%" />
              <col width="17%" />
              <col width="15%" />
            </colgroup>
            <thead>
              <tr>
                <th>
                  <bold>Variable Effect</bold>
                </th>
                <th>
                  <bold>Direct Effect</bold>
                </th>
                <th>
                  <bold>Indirect Effect via M</bold>
                </th>
                <th>
                  <p specific-use="wrapper">
                    <disp-quote>
                      <p>
                        <bold>Total Effect</bold>
                      </p>
                    </disp-quote>
                  </p>
                </th>
                <th>
                  <p specific-use="wrapper">
                    <disp-quote>
                      <p>
                        <bold>Sig. Value</bold>
                      </p>
                    </disp-quote>
                  </p>
                </th>
              </tr>
            </thead>
            <tbody>
              <tr>
                <td>X1 – Y</td>
                <td>0.181</td>
                <td>0.174</td>
                <td>
                  <p specific-use="wrapper">
                    <disp-quote>
                      <p>0.355</p>
                    </disp-quote>
                  </p>
                </td>
                <td>
                  <p specific-use="wrapper">
                    <disp-quote>
                      <p>0.003</p>
                    </disp-quote>
                  </p>
                </td>
              </tr>
              <tr>
                <td>X2 – Y</td>
                <td>0.224</td>
                <td>0.372</td>
                <td>
                  <p specific-use="wrapper">
                    <disp-quote>
                      <p>0.596</p>
                    </disp-quote>
                  </p>
                </td>
                <td>
                  <p specific-use="wrapper">
                    <disp-quote>
                      <p>0.005</p>
                    </disp-quote>
                  </p>
                </td>
              </tr>
              <tr>
                <td>X1 – M</td>
                <td>0.319</td>
                <td>—</td>
                <td>
                  <p specific-use="wrapper">
                    <disp-quote>
                      <p>0.319</p>
                    </disp-quote>
                  </p>
                </td>
                <td>
                  <p specific-use="wrapper">
                    <disp-quote>
                      <p>0.000</p>
                    </disp-quote>
                  </p>
                </td>
              </tr>
              <tr>
                <td>X2 – M</td>
                <td>0.681</td>
                <td>—</td>
                <td>
                  <p specific-use="wrapper">
                    <disp-quote>
                      <p>0.681</p>
                    </disp-quote>
                  </p>
                </td>
                <td>
                  <p specific-use="wrapper">
                    <disp-quote>
                      <p>0.000</p>
                    </disp-quote>
                  </p>
                </td>
              </tr>
              <tr>
                <td>M – Y</td>
                <td>0.546</td>
                <td>—</td>
                <td>
                  <p specific-use="wrapper">
                    <disp-quote>
                      <p>0.546</p>
                    </disp-quote>
                  </p>
                </td>
                <td>
                  <p specific-use="wrapper">
                    <disp-quote>
                      <p>0.000</p>
                    </disp-quote>
                  </p>
                </td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
          <p>Source: Appendix 8 (processed data), 2025</p>
          <p>Table 4.18 presents a summary of the values for each path,
      including the direct, indirect, and total effects between
      variables, as well as the significance value of each structural
      equation, which were obtained through path analysis techniques.
      The following section explains the meaning of the values presented
      in Table 4.18.</p>
          <p>Sobel Test</p>
      </sec>
      <sec id="the-role-of-brand-image-in-mediating-the-effect-of-product-completeness-on-repurchase-intention">
        <title>1. The Role of Brand Image in Mediating the Effect of Product Completeness on Repurchase Intention</title>
          <disp-formula id="eq1">
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                </mml:mrow>
                <mml:mrow>
                  <mml:msqrt>
                    <mml:mrow>
                      <mml:msup>
                        <mml:mi>b</mml:mi>
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                      <mml:msup>
                        <mml:mi>S</mml:mi>
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                    </mml:mrow>
                  </mml:msqrt>
                </mml:mrow>
              </mml:mfrac>
            </mml:math>
          </disp-formula>
          <p>Information :</p>
          <p>a = 0,289</p>
          <p>Sa = 0,052</p>
          <p>b = 0,618</p>
          <p>Sb = 0,096</p>
          <disp-formula id="eq2">
            <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="block">
              <mml:mi>Z</mml:mi>
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              <mml:mfrac>
                <mml:mrow>
                  <mml:mn>0.289</mml:mn>
                  <mml:mo>&#x2062;</mml:mo> <!-- tanda perkalian implisit -->
                  <mml:mn>0.618</mml:mn>
                </mml:mrow>
                <mml:mrow>
                  <mml:msqrt>
                    <mml:mrow>
                      <!-- (0.618^2 * 0.052^2) -->
                      <mml:mo>(</mml:mo>
                      <mml:msup>
                        <mml:mn>0.618</mml:mn>
                        <mml:mn>2</mml:mn>
                      </mml:msup>
                      <mml:mo>&#x2062;</mml:mo>
                      <mml:msup>
                        <mml:mn>0.052</mml:mn>
                        <mml:mn>2</mml:mn>
                      </mml:msup>
                      <mml:mo>)</mml:mo>
                      <mml:mo>+</mml:mo>

                      <!-- (0.289^2 * 0.096^2) -->
                      <mml:mo>(</mml:mo>
                      <mml:msup>
                        <mml:mn>0.289</mml:mn>
                        <mml:mn>2</mml:mn>
                      </mml:msup>
                      <mml:mo>&#x2062;</mml:mo>
                      <mml:msup>
                        <mml:mn>0.096</mml:mn>
                        <mml:mn>2</mml:mn>
                      </mml:msup>
                      <mml:mo>)</mml:mo>
                      <mml:mo>+</mml:mo>

                      <!-- (0.052^2 * 0.096^2) -->
                      <mml:mo>(</mml:mo>
                      <mml:msup>
                        <mml:mn>0.052</mml:mn>
                        <mml:mn>2</mml:mn>
                      </mml:msup>
                      <mml:mo>&#x2062;</mml:mo>
                      <mml:msup>
                        <mml:mn>0.096</mml:mn>
                        <mml:mn>2</mml:mn>
                      </mml:msup>
                      <mml:mo>)</mml:mo>
                    </mml:mrow>
                  </mml:msqrt>
                </mml:mrow>
              </mml:mfrac>
            </mml:math>
          </disp-formula>
          <p>Z = 4,178</p>
          <p>The hypothesis is accepted since the Sobel test results show
      that brand image is a mediating variable in the relationship
      between product completeness and repurchase intention, with a
      computed Z-value of 4.178 &gt; 1.96.</p>
          <p>1) The Role of Brand Image in Mediating the Effect of Price Perception on Repurchase Intention</p>
          <disp-formula id="eq4">
            <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="block">
              <mml:mi>Z</mml:mi>
              <mml:mo>=</mml:mo>
              <mml:mfrac>
                <mml:mrow>
                  <mml:mi>a</mml:mi>
                  <mml:mo>&#x2062;</mml:mo> <!-- perkalian implisit -->
                  <mml:mi>b</mml:mi>
                </mml:mrow>
                <mml:mrow>
                  <mml:msqrt>
                    <mml:mrow>
                      <!-- b²Sa² -->
                      <mml:msup>
                        <mml:mi>b</mml:mi>
                        <mml:mn>2</mml:mn>
                      </mml:msup>
                      <mml:mo>&#x2062;</mml:mo>
                      <mml:msup>
                        <mml:mi>S</mml:mi>
                        <mml:mi>a</mml:mi>
                      </mml:msup>
                      <mml:mn>2</mml:mn>
                      <mml:mo>+</mml:mo>

                      <!-- a²Sb² -->
                      <mml:msup>
                        <mml:mi>a</mml:mi>
                        <mml:mn>2</mml:mn>
                      </mml:msup>
                      <mml:mo>&#x2062;</mml:mo>
                      <mml:msup>
                        <mml:mi>S</mml:mi>
                        <mml:mi>b</mml:mi>
                      </mml:msup>
                      <mml:mn>2</mml:mn>
                      <mml:mo>+</mml:mo>

                      <!-- Sa²Sb² -->
                      <mml:msup>
                        <mml:mi>S</mml:mi>
                        <mml:mi>a</mml:mi>
                      </mml:msup>
                      <mml:mn>2</mml:mn>
                      <mml:mo>&#x2062;</mml:mo>
                      <mml:msup>
                        <mml:mi>S</mml:mi>
                        <mml:mi>b</mml:mi>
                      </mml:msup>
                      <mml:mn>2</mml:mn>
                    </mml:mrow>
                  </mml:msqrt>
                </mml:mrow>
              </mml:mfrac>
            </mml:math>
          </disp-formula>
          <p>Information:</p>
          <p>a = 0,496</p>
          <p>Sa = 0,042</p>
          <p>b = 0,618</p>
          <p>Sb = 0,096</p>
          <disp-formula id="eq3">
            <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="block">
              <mml:mi>Z</mml:mi>
              <mml:mo>=</mml:mo>
              <mml:mfrac>
                <mml:mrow>
                  <mml:mn>0.496</mml:mn>
                  <mml:mo>&#x2062;</mml:mo> <!-- tanda perkalian implisit -->
                  <mml:mn>0.618</mml:mn>
                </mml:mrow>
                <mml:mrow>
                  <mml:msqrt>
                    <mml:mrow>
                      <!-- (0.618^2 * 0.042^2) -->
                      <mml:mo>(</mml:mo>
                      <mml:msup>
                        <mml:mn>0.618</mml:mn>
                        <mml:mn>2</mml:mn>
                      </mml:msup>
                      <mml:mo>&#x2062;</mml:mo>
                      <mml:msup>
                        <mml:mn>0.042</mml:mn>
                        <mml:mn>2</mml:mn>
                      </mml:msup>
                      <mml:mo>)</mml:mo>
                      <mml:mo>+</mml:mo>

                      <!-- (0.496^2 * 0.096^2) -->
                      <mml:mo>(</mml:mo>
                      <mml:msup>
                        <mml:mn>0.496</mml:mn>
                        <mml:mn>2</mml:mn>
                      </mml:msup>
                      <mml:mo>&#x2062;</mml:mo>
                      <mml:msup>
                        <mml:mn>0.096</mml:mn>
                        <mml:mn>2</mml:mn>
                      </mml:msup>
                      <mml:mo>)</mml:mo>
                      <mml:mo>+</mml:mo>

                      <!-- (0.042^2 * 0.096^2) -->
                      <mml:mo>(</mml:mo>
                      <mml:msup>
                        <mml:mn>0.042</mml:mn>
                        <mml:mn>2</mml:mn>
                      </mml:msup>
                      <mml:mo>&#x2062;</mml:mo>
                      <mml:msup>
                        <mml:mn>0.096</mml:mn>
                        <mml:mn>2</mml:mn>
                      </mml:msup>
                      <mml:mo>)</mml:mo>
                    </mml:mrow>
                  </mml:msqrt>
                </mml:mrow>
              </mml:mfrac>
            </mml:math>
          </disp-formula>
          <p>Z = 5,637</p>
          <p>Based on the calculation of the results of the Sobel test, it
      shows that the calculated Z value is 5.637 &gt; 1.96, which means
      that brand image is a variable that mediates the influence of
      price perception on repurchase intention so that the seventh
      hypothesis is accepted.</p>
      </sec>
    </sec>
    <sec id="discussion-1">
      <title>DISCUSSION</title>
      <sec id="the-effect-of-product-completeness-on-repurchase-intention">
        <title>The Effect of Product Completeness on Repurchase Intention</title>
          <p>The hypothesis is supported by the test results of this study's
      effect of product completeness on repurchase intention, which
      demonstrate that product completeness significantly and favorably
      influences repurchase intention. These results are in line with
      other studies by Supriatna (2022) and Nuraeni &amp; Ernawadi
      (2024), who also discovered that product completeness
      significantly and favorably influences repurchase intention.</p>
      </sec>
      <sec id="the-effect-of-price-perception-on-repurchase-intention">
        <title>The Effect of Price Perception on Repurchase Intention</title>
          <p>The hypothesis is supported by the test results of this study's
      effect of price perception on repurchase intention, which
      demonstrate that price perception significantly and favorably
      influences repurchase intention. These results are consistent with
      earlier research by Purnamawati et al. (2020) and Tilaar et al.
      (2024), which similarly found that price perception significantly
      and favorably influences repurchase intention.</p>
      </sec>
      <sec id="the-effect-of-product-completeness-on-brand-image">
        <title>The Effect of Product Completeness on Brand Image</title>
          <p>The hypothesis is supported by the test results of this study's
      influence of product completeness on brand image, which
      demonstrate that product completeness significantly and favorably
      affects brand image. These findings are consistent with the study
      of Welsa et al. (2021), which similarly discovered that brand image is positively and significantly
      impacted by product completeness.</p>
      </sec>
      <sec id="the-effect-of-price-perception-on-brand-image">
        <title>The Effect of Price Perception on Brand Image</title>
          <p>The study's test results on the relationship between price
      perception and brand image support the hypothesis, which states
      that price perception significantly and favorably affects brand
      image. Previous research by Afwan &amp; Santosa (2019) supports
      these findings and found that pricing perception significantly and
      favorably affects brand image.</p>
      </sec>
      <sec id="the-effect-of-brand-image-on-repurchase-intention">
        <title>The Effect of Brand Image on Repurchase Intention</title>
          <p>The study's test results on the relationship between brand
      image and repurchase intention support the hypothesis, showing
      that brand image significantly and favorably influences repurchase
      intention. These results align with earlier research by Bhakuni et
      al. (2021) and Girsang et al. (2021), which also found that brand
      image has a favorable and significant impact on repurchase
      intention.</p>
      </sec>
      <sec id="the-mediating-role-of-brand-image-in-the-effect-of-product-completeness-on-repurchase-intention">
        <title>The Mediating Role of Brand Image in the Effect of Product
    Completeness on Repurchase Intention</title>
          <p>The hypothesis is supported by the test results of the Sobel
      test, which examines the mediating role of brand image in the
      relationship between product completeness and repurchase
      intention. This suggests that the relationship between product
      completeness and repurchase intention is somewhat mediated by
      brand image.</p>
          <p>According to Welsa et al. (2021), product completeness has a
      direct positive impact on repurchase intention, either directly or
      through brand image. This finding is consistent with earlier
      research by Dewi et al. (2023), which found that brand image has a
      positive and significant effect on repurchase intention.</p>
      </sec>
      <sec id="the-mediating-role-of-brand-image-in-the-effect-of-price-perception-on-repurchase-intention">
        <title>The Mediating Role of Brand Image in the Effect of Price
    Perception on Repurchase Intention</title>
          <p>The hypothesis is supported by the test results of the Sobel
      test, which examines the mediating function of brand image in the
      relationship between price perception and repurchase intention.
      This suggests that the relationship between price perception and
      repurchase intention is somewhat mediated by brand image.</p>
          <p>According to Mahardika &amp; Jumhur's (2023) research,
      consistent pricing decisions that are in line with quality and a
      strong brand image will increase consumer loyalty and confidence,
      which in turn will encourage repurchase intention. These findings
      are compatible with their findings.</p>
      </sec>
    </sec>
    <sec id="conclusion">
      <title>CONCLUSION</title>
        <p>The following conclusions can be made in light of the research
    discussion's findings:</p>
      <list list-type="order">
        <list-item>
          <p>At Clandys Grosir, customer repurchase intention is positively
      and significantly impacted by product completeness.</p>
        </list-item>
        <list-item>
          <p>At Clandys Grosir, customers' propensity to repurchase is
      positively and significantly impacted by price perception.</p>
        </list-item>
        <list-item>
          <p>Clandys Grosir's brand image is positively and significantly
      impacted by product completeness.</p>
        </list-item>
        <list-item>
          <p>Clandys Grosir's brand image is positively and significantly
      impacted by price perception.</p>
        </list-item>
        <list-item>
          <p>Clandys Grosir customers' intention to repurchase is positively
      and significantly impacted by brand image.</p>
        </list-item>
        <list-item>
          <p>At Clandys Grosir, the impact of product completeness on
      consumers' intentions to repurchase is partially mediated by brand
      image.</p>
        </list-item>
        <list-item>
          <p>Brand image partially mediates the effect of price perception
      on consumer repurchase intention at Clandys Grosir.</p>
        </list-item>
      </list>
    </sec>
    <sec id="suggestions">
      <title>SUGGESTIONS</title>
        <p>Based on the analysis and conclusions, the following suggestions
    are offered. The main issue found in this study is the inconsistency
    in product completeness at Clandys Grosir Gianyar, which leads to
    decreased customer satisfaction and drives some consumers to switch
    to other retail stores. To address this issue, Clandys management
    should improve the consistency of product availability by
    implementing a more integrated and technology-based inventory
    management system, such as a Point Of Sale (POS) system. This system
    would help monitor product movement and availability in real time,
    minimizing stockouts.</p>
        <p>Additional recommendations for Clandys Grosir Gianyar based on
    the research findings are as follows:</p>
      <list list-type="order">
        <list-item>
          <p>Based on the descriptive analysis of the product completeness
      variable, the indicator with the lowest average score is the
      variety of available brands. This indicates that the brand
      variations offered are still considered limited. Therefore, it is
      recommended that Clandys management expand the variety of brands
      in each product category to better accommodate diverse consumer
      preferences.</p>
        </list-item>
        <list-item>
          <p>Based on the descriptive analysis of the price perception
      variable, the indicator with the lowest average score is the
      alignment between price and benefits. This suggests that some
      respondents perceive the price of products at Clandys Grosir as
      not proportional to the benefits received. Thus, Clandys should
      evaluate its pricing policy to better reflect the value perceived
      by consumers. This can be done by maintaining product quality,
      clearly communicating added value, or offering relevant
      promotions. When consumers feel that the price paid is equivalent
      to the benefits received, it fosters a positive attitude that
      enhances repurchase intention.</p>
        </list-item>
        <list-item>
          <p>Based on the descriptive analysis of the brand image variable,
          the indicator with the lowest average score is user image. This
          implies that some respondents are not convinced that Clandys
          Grosir Gianyar truly reflects a community segment that prioritizes
          quality products at affordable prices. Therefore, Clandys is
          advised to strengthen its brand = communication strategy through marketing campaigns that emphasize
          product quality and affordability.</p>
        </list-item>
      </list>

      <list list-type="order">
        <list-item>
          <label>4.</label>
          <p>Based on the descriptive analysis of the repurchase intention
      variable, the indicator with the lowest average score is
      recommending to others. This shows that although consumers have a
      tendency to repurchase, they are not fully compelled to recommend
      the store to others. To improve this aspect, Clandys should create
      a more pleasant and memorable shopping experience through friendly
      service and comfortable store facilities. A consistently positive
      experience will encourage consumers not only to repurchase but
      also to become brand advocates.</p>
        </list-item>
        <list-item>
          <label>5.</label>
          <p>For future researchers, this study can be further developed by
      adding other variables such as customer satisfaction or service
      quality to gain a more comprehensive understanding of the factors
      influencing repurchase intention. Additionally, the research can
      be extended to other locations or types of retail stores to
      enhance the generalizability of the findings.</p>
        </list-item>
      </list>
    </sec>
  </body>
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