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  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">AJMA</journal-id>
      <journal-title-group>
        <journal-title>Asian Journal of Management and Accounting</journal-title>
      </journal-title-group>
      <issn pub-type="epub">2963-4547</issn>
      <publisher>
        <publisher-name>Formosa Publisher</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.55927/ajma.v4i3.14803</article-id>
      <title-group>
        <article-title>Investigation the Influence of Green Brand Knowledge and Attitude towards Green Brands on Purchase Intention Corkcicle: The Mediating Role of Brand Equity</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author" corresp="yes">
          <name>
            <surname>Udayanti</surname>
            <given-names>Imel</given-names>
          </name>
          <aff>Faculty of Economics and Business, Telkom University</aff>
          <email>udayanti23@gmail.com</email>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Madiawati</surname>
            <given-names>Putu Nina</given-names>
          </name>
          <aff>Faculty of Economics and Business, Telkom University</aff>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Widodo</surname>
            <given-names>Arry</given-names>
          </name>
          <aff>Faculty of Economics and Business, Telkom University</aff>
        </contrib>
      </contrib-group>
      <pub-date pub-type="epub">
        <day>21</day>
        <month>07</month>
        <year>2025</year>
      </pub-date>
      <history>
        <date date-type="received">
          <day>02</day>
          <month>06</month>
          <year>2025</year>
        </date>
        <date date-type="rev-recd">
          <day>18</day>
          <month>06</month>
          <year>2025</year>
        </date>
        <date date-type="accepted">
          <day>20</day>
          <month>07</month>
          <year>2025</year>
        </date>
      </history>
      <volume>4</volume>
      <issue>3</issue>
      <fpage>887</fpage>
      <lpage>906</lpage>
      <abstract>
        <p>This study explores how Green Brand Knowledge and Attitude Toward Green Brand influence Purchase Intention, with Brand Equity acting as a mediating variable. The research is contextualized within Corkcicle, an eco-friendly lifestyle tumbler brand, and targets environmentally conscious Gen Z consumers. A quantitative approach was employed using Structural Equation Modeling (SEM-PLS). Data were collected from 300 Gen Z respondents in Bandung, Indonesia, who are familiar with Corkcicle through social media and online platforms. The findings indicate that both Green Brand Knowledge and Attitude Toward Green Brand significantly and positively influence Purchase Intention. Furthermore, Brand Equity plays a significant mediating role in this relationship, reinforcing its importance in green brand strategies. These results suggest that sustainability-oriented branding, particularly when supported by strong brand equity, can effectively drive green purchase intention among younger consumers. The study contributes to green marketing literature by validating the mediating role of Brand Equity and offers practical insights for brands aiming to foster eco-friendly buying behavior through digital engagement and value-based branding.</p>
      </abstract>
      <kwd-group>
        <kwd>Green Brand Knowledge</kwd>
        <kwd>Attitude Toward Green Brand</kwd>
        <kwd>Purchase Intention</kwd>
        <kwd>Brand Equity</kwd>
        <kwd>Eco-Friendly</kwd>
        <kwd>SEM-PLS</kwd>
      </kwd-group>
      <permissions>
        <license>
          <ali:license_ref xmlns:ali="http://www.niso.org/schemas/ali/1.0/">http://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 4.0 International License.</license-p>
        </license>
      </permissions>
    </article-meta>
  </front>

  <body>

<sec>
  <title>INTRODUCTION</title>
  <p>The problem of plastic waste in Indonesia remains a pressing
  environmental issue, especially with the increasing use of single-use
  plastics, the rate of urbanization, and the consumerist lifestyles of
  modern society. Based on data from the Ministry of Environment and
  Forestry (KLHK), in 2024 Indonesia will generate approximately 33.79
  million tons of waste, with 19.64% consisting of plastic waste.
  Although there has been a slight decrease compared to the previous
  year, challenges related to plastic waste management remain
  substantial across various regions. The environmental impacts are
  far-reaching, ranging from soil and water pollution to the
  accumulation of microplastics in the human food chain. In response,
  the Indonesian government has set a target to reduce waste by 30% and
  manage it by 70% by 2025, through policies such as banning single-use
  plastics and promoting recycling systems. Meanwhile, growing public
  awareness of sustainability has also influenced consumption behavior,
  encouraging a shift toward eco-friendly products and reduced use of
  disposable plastics.</p>
  <p>Bandung stands out as a city with a strong environmental movement.
  Initiatives like the Kang Pisman program, the growth of Zero Waste
  communities, and support for circular economy practices reflect a
  collective commitment to sustainability. This movement is further
  driven by Generation Z (ages 13–28), a demographic that dominates
  Bandung’s population and is characterized by digital savviness,
  environmental concern, and a willingness to pay more for sustainable
  products. Surveys show that 58–82% of Gen Z are willing to pay a
  premium for eco-friendly products, and 56% already bring their own
  tumblers as part of their daily routine. Corkcicle, a stainless-steel
  tumbler brand, exemplifies this lifestyle shift. Renowned for its
  double-wall insulation (maintaining cold temperatures for 25 hours and
  hot for 12), Corkcicle also effectively leverages digital marketing
  especially on TikTok, where it’s popularly known as the “sultan
  tumbler.” The brand further strengthens its premium positioning
  through strategic collaborations, such as with Fossil at the Paris Van
  Java lifestyle event in 2023.</p>
  <p>Corkcicle’s distribution strategy combines B2C and B2B channels
  through e-commerce platforms, physical retail locations (e.g., Paris
  Van Java and atmos TSM), and partnerships with major distributors. Its
  commitment to sustainability is evident in initiatives like a trade-in
  discount program, plastic-free packaging, and participation in green
  events such as the Joyland Festival 2023, in collaboration with
  Rekosistem and Happy Hearts Indonesia. Kairana and Madiawati (2023),
  who examined the effect of digital marketing startaegies and marketing
  mix on consumer buying interest in Corkcicle in Bandung</p>
  <p>The rising interest in green product consumption highlights the
  importance of Brand Equity<bold>,</bold> which encompasses brand
  awareness, brand associations, perceived quality, and brand loyalty,
  in shaping consumers’ Purchase Intention. In the digital era,
  authentic and consistent green marketing reinforced by strong Green
  Brand Knowledge and a positive Attitude Toward Green Brands plays a
  critical role in influencing consumer decision- making.</p>
  <p>However, existing research has not sufficiently examined the
  mediating role of Brand Equity in the relationship between green brand
  perceptions and consumer purchase intention, particularly among Gen Z
  in emerging markets like Indonesia. Most prior studies treat Brand
  Equity as a dependent or independent variable, with limited
  exploration of its role as a strategic bridge in green consumer
  behavior.</p>
  <p>This study aims to analyze the influence of Green Brand Knowledge
  and Attitude Toward Green Brand on Purchase Intention, with Brand
  Equity as a mediating variable, in the context of Corkcicle among Gen
  Z consumers in Bandung.</p>
  <p>By addressing this research gap, the study contributes to the
  advancement of green marketing theory particularly in understanding
  how cognitive and affective dimensions of green branding influence
  purchasing behavior through brand equity. It also offers practical
  insights for eco-friendly brands seeking to strengthen market
  engagement among environmentally conscious youth through value-driven
  branding strategies.</p>
</sec>












<sec>
  <title>LITERATURE REVIEW</title>
  <sec id="theory-of-planned-behavior">
    <title>Theory of Planned Behavior</title>
    <p>Theory of Planned Behavior shows a person's conscious motivation
    to perform an action. The more positive a person's attitude, the
    stronger the support of social norms, and the higher the
    self-confidence in the ease of behavior, the greater the chance of a
    person actually performing the behavior. Ajzen, I. (1991). TPB
    explains how a person's intention is a major factor in determining
    actual behavior. This intention is formed from three main elements,
    namely:</p>
    <list list-type="order">
      <list-item>
        <p>Attitude towards Behavior: Attitude reflects an individual's
        assessment of a particular behavior, whether it is considered
        positive or negative. In the context of environmentally friendly
        behavior, a positive attitude towards green brands is expected
        to encourage the intention to buy products that support
        sustainability.</p>
      </list-item>
      <list-item>
        <p>Then related to Subjective Norms: This norm is related to
        perceived social pressure, namely how the opinions of important
        people around influence a person's behavioral decisions.
        Individuals tend to follow social norms to gain acceptance or
        avoid sanctions.</p>
      </list-item>
      <list-item>
        <p>Perceived Behavioral Control: Perceived behavioral control is
        a person's view of how easy or difficult it is to perform a
        behavior, depending on how many resources and opportunities are
        available. Self-confidence also plays a big role in this.</p>
      </list-item>
    </list>
    <p>In an increasingly competitive business world, understanding the
    factors that influence consumer purchasing interest in
    environmentally friendly products is crucial (Ajzen, 1991;
    Kamaruddin, Putit, &amp; Fikry, 2024).</p>
  </sec>
  <sec id="green-brand-knowledge">
    <title>Green Brand Knowledge</title>
    <p>Hanjani and Widodo (2019) added that green brands are not only
    corporate assets, but also reflect a company’s commitment to
    sustainability through the use of brand elements, symbols, and other
    cues that can enhance or diminish product value<bold>.</bold> With
    Green Brand Knowledge, consumers not only understand the</p>
    <p>advantages of green products, but are also more likely to give
    positive responses that can strengthen loyalty to green brands.
    Research conducted by Hartanto et al. (2023) revealed that Green
    Brand Knowledge (GBK) significantly influences consumer purchase
    intentions for green products, with an important role for consumers'
    positive attitudes towards these products.</p>
    <disp-quote>
      <p>H1: The influence of Green Brand Knowledge has a positive
      effect on Purchase Intention.</p>
      <p>H2: The influence of Green Brand Knowledge has a positive
      effect on Brand Equity</p>
      <p>H5: The influence of Green Brand Knowledge has a positive
      effect on Purchase Intention through Brand Equity as a mediating
      variable</p>
      <p>H7: The influence of Green Brand Knowledge and Attitude Toward
      Green Brand simultaneously have a positive effect on Purchase
      Intention through Brand Equity</p>
    </disp-quote>
  </sec>
  <sec id="attitude-toward-green-brand">
    <title>Attitude Toward Green Brand</title>
    <p>According to Riptiono &amp; Yuntafi'ah (2021), it explains that
    attitude reflects the tendency of individuals to respond to an
    object, either positively or negatively. In the context of green
    brands, Putri and Indarawati (2018) state that Attitude towards
    Green Brand describes consumer preferences for a brand that is
    oriented towards sustainability, thus influencing their purchasing
    decisions. The existence of environmentally friendly brands
    encourages consumers to choose products that are more in line with
    their concern for the environment.</p>
    <p>Furthermore, Tristiani et al. (2019) emphasized that attitudes
    towards green brands are a major factor in purchasing decisions for
    environmentally friendly products. Factors such as trust in the
    brand, individual preferences, and pro- environmental behavior
    contribute to shaping these attitudes. The more positive consumers'
    perceptions of green brands are, the more likely they are to choose
    these products over conventional products.</p>
    <p>Based on these various views, Attitude Toward Green Brand can be
    interpreted as a positive attitude of consumers towards brands that
    are committed to sustainability. This attitude not only reflects
    concern for the environment but also plays a role in purchasing
    decisions based on the benefits and credibility of green brands.</p>
    <disp-quote>
      <p>H3: The influence of Attitude Toward Green Brand has a positive
      effect on Purchase Intention.</p>
      <p>H4: The influence of Attitude Toward Green Brand has a positive
      effect on Brand Equity.</p>
      <p>H6: The influence of Attitude Toward Green Brand has a positive
      effect on Purchase Intention through Brand Equity as a mediating
      variable.</p>
    </disp-quote>
  </sec>
  <sec id="purchase-intention">
    <title>Purchase Intention</title>
    <p>According to Ramadhani and Mangruwa (2024), the intention to buy
    environmentally friendly products reflects consumer awareness and
    preferences in choosing products that support sustainability.
    Consumers who understand the</p>
    <p>benefits of products and have concern for the environment are
    more likely to switch to sustainable products. In line with this,
    Nur Shidiq and Widodo (2018) emphasized that the level of consumer
    knowledge about the environmental impact of a product affects the
    purchase intention of green products. The higher the awareness and
    understanding of consumers, the more likely they are to choose
    products that are more environmentally friendly. Sianipar (2021)
    states that the intention to buy green products is driven by strong
    motivation in consumers who are interested in sustainable products.
    This interest arises from the expectation of the benefits offered by
    green products, so that consumers are more encouraged to make
    purchases.</p>
  </sec>
  <sec id="brand-equity">
    <title>Brand Equity</title>
    <p>According to Aaker (2009), Brand Equity is the value owned by a
    brand based on consumer perceptions of the brand. Aaker explains
    that Brand Equity consists of four main interconnected dimensions,
    which contribute to shaping and strengthening the brand's position
    in the market. Brand Equity refers to the added value provided by a
    brand to a product or service, which is reflected in consumer
    perceptions, preferences, and loyalty (Wijaya &amp; Harsoyo, 2025).
    In green marketing, brand equity plays an important role as a
    mediator that strengthens the relationship between green marketing
    strategies and green product purchase intentions. Research shows
    that elements such as green products and green brand awareness
    contribute positively to consumer purchase intentions for
    sustainable products. Brand equity itself consists of assets and
    liabilities attached to a brand, including its name and symbols,
    which can affect the value of products for companies and consumers
    (Pakutandang, 2024). From another point of view, brand equity is
    also influenced by consumer perceptions of brand superiority, social
    esteem, and the level of customer trust and identification with the
    brand (Schiffman &amp; Wisenblit, 2019).And Purnama and Madiawati
    (2023) highlight the importance of mediating variables in consumer
    behavior, where purchase decisions mediate the effect of price,
    product quality, and promotion on customer satisfaction. This aligns
    with the present study, which positions Brand Equity as a mediator
    between green brand knowledge and attitude and purchase intention
    for Corkcicle products.</p>
    <p>The viral phenomenon of Corkcicle on TikTok is a relevant example
    in this study because TikTok has become a highly influential
    platform in creating trends and changing consumer behavior. Viral
    content on TikTok, especially related to products such as Corkcicle,
    has the potential to increase Brand Awareness, change Perceived
    Quality, and create positive associations and Brand Loyalty among
    consumers. According to a study by Putri, B. A., &amp; Madiawati, P.
    N. (2023), social media influencers and brand awareness have a
    positive influence on purchase decisions. And A study by Widodo, A.,
    Rubiyanti, N., &amp; Madiawati,</p>
    <p>P. N. (2024) found that ocial media engagement and
    pro-environmental behavior significantly influence purchase
    intention for eco-friendly products among Generation Y and Z in
    Indonesia<bold>. s</bold>This supports the importance of attitude
    toward green brands in shaping purchase intention, especially when
    reinforced by sustainability awareness and social media exposure.
    Therefore, Corkcicle’s</p>
    <p>success in building brand equity through social media is highly
    relevant to the behavior of young consumers, who are strongly
    influenced by digital trends and influencer recommendations.
    Therefore, this study aims to explore how this viral phenomenon on
    TikTok impacts the Brand Equity of Corkcicle products, particularly
    in building emotional connections with consumers and influencing
    their purchasing decisions.</p>
  <sec id="figure-1.-thinking-framework-diagram">
    <graphic mimetype="image" mime-subtype="jpeg" xlink:href="vertopal_cfb5eb19fa8f42bebee01bf2149989b0/media/image3.jpeg" />
    <title>Figure 1. Thinking framework Diagram</title>
    <p><italic>Source: Managed by researchers (2025)</italic></p>
  </sec>
  </sec>
</sec>














<sec>
  <title>METHODOLOGY</title>
    <p>This study uses a causal associative approach because the main
    focus is to determine the extent to which the independent variables,
    namely Green Brand Knowledge (X1) and Attitude Toward Green Brand
    (X2), affect the dependent variable, namely Purchase Intention (Y),
    by considering Brand Equity (Z) as a mediating variable. This is in
    line with the opinion of Sugiyono (2022), which states that
    associative research can be used to identify causal relationships or
    influences between two or more variables (cause - effect).</p>
    <p>The method used in this research is the survey method, where data
    is collected through distributing questionnaires to 300 generation Z
    respondents in Bandung. This research applied demographic and
    psychographic segmentation approaches to identify the most relevant
    consumer groups as the object of study. Demographic segmentation
    refers to the Generation Z group, which is individuals aged 18 to
    28, who are students and young workers living in the Bandung City
    area. Meanwhile, psychographic segmentation considers the
    characteristics of a modern lifestyle, openness to environmental
    issues, and preference for products with symbolic and aesthetic
    values. To ensure that participating respondents truly understand
    the concept of green brands, a screening method is required. One
    approach that can be used is to provide filter questions at the
    beginning of the survey.</p>
    <p>This research is quantitative, which means that the data obtained
    is processed and analyzed in the form of numbers. Sutama (2023)
    states that quantitative research is closely related to various
    social survey techniques, such as structured interviews, content
    analysis, and formal statistical analysis. The questionnaire used a
    1–5 Likert scale with a total of 28 items, consisting of 8 items for
    Green Brand Knowledge, 4 items for Attitude Toward Green Brand, 8
    items for Brand Equity, and 8 items for Purchase Intention.</p>
    <p>Data analysis was conducted using SEM-PLS Version 4, which
    included a series of validity and reliability assessments. The model
    underwent thorough evaluation through convergent validity,
    discriminant validity, and composite</p>
    <p>reliability tests. Additionally, bootstrapping was employed to
    examine the inner model, utilizing both composite reliability and
    Cronbach's alpha.</p>
</sec>













<sec>
  <title>RESEARCH RESULT</title>
  <sec id="responden-characteristics">
    <title>Responden Characteristics</title>
    <p>Table 1. Responden Characteristics</p>
    <table-wrap>
      <label>Table 1. Responden Characteristics</label>
      <caption>
        <title><italic>Source: Managed by researchers (2025)</italic></title>
      </caption>
      <table>
        <thead>
          <tr>
            <th align="left" valign="middle" rowspan="1" colspan="1">Characteristics</th>
            <th align="left" valign="middle" rowspan="1" colspan="1"/>
            <th align="center" valign="middle" rowspan="1" colspan="1">Amount</th>
            <th align="center" valign="middle" rowspan="1" colspan="1">Percentage</th>
          </tr>
        </thead>
        <tbody>
          <tr>
            <td align="left" valign="middle" rowspan="3" colspan="1">Gender</td>
            <td align="left" valign="middle" rowspan="1" colspan="1">Man</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">112</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">37%</td>
          </tr>
          <tr>
            <td align="left" valign="middle" rowspan="1" colspan="1">Women</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">188</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">63%</td>
          </tr>
          <tr>
            <td align="left" valign="middle" rowspan="1" colspan="1">Total</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">300</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">100%</td>
          </tr>
          <tr>
            <td align="left" valign="middle" rowspan="3" colspan="1">Age Range</td>
            <td align="left" valign="middle" rowspan="1" colspan="1">13 - 19 Tahun</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">99</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">33%</td>
          </tr>
          <tr>
            <td align="left" valign="middle" rowspan="1" colspan="1">20 - 28 Tahun</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">201</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">67%</td>
          </tr>
          <tr>
            <td align="left" valign="middle" rowspan="1" colspan="1">Total</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">300</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">100%</td>
          </tr>
          <tr>
            <td align="left" valign="middle" rowspan="5" colspan="1">Last Education</td>
            <td align="left" valign="middle" rowspan="1" colspan="1">SMA / SMK / Sederajat</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">79</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">26%</td>
          </tr>
          <tr>
            <td align="left" valign="middle" rowspan="1" colspan="1">Diploma 1/2/3</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">3</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">1%</td>
          </tr>
          <tr>
            <td align="left" valign="middle" rowspan="1" colspan="1">Sarjana</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">203</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">68%</td>
          </tr>
          <tr>
            <td align="left" valign="middle" rowspan="1" colspan="1">Pascasarjana</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">15</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">5%</td>
          </tr>
          <tr>
            <td align="left" valign="middle" rowspan="1" colspan="1">Total</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">300</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">100%</td>
          </tr>
          <tr>
            <td align="left" valign="middle" rowspan="6" colspan="1">Work</td>
            <td align="left" valign="middle" rowspan="1" colspan="1">Pelajar / Mahasiswa</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">168</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">56%</td>
          </tr>
          <tr>
            <td align="left" valign="middle" rowspan="1" colspan="1">Karyawan Swasta</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">48</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">16%</td>
          </tr>
          <tr>
            <td align="left" valign="middle" rowspan="1" colspan="1">PNS</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">30</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">10%</td>
          </tr>
          <tr>
            <td align="left" valign="middle" rowspan="1" colspan="1">Wiraswasta</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">36</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">12%</td>
          </tr>
          <tr>
            <td align="left" valign="middle" rowspan="1" colspan="1">Lainnya</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">18</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">6%</td>
          </tr>
          <tr>
            <td align="left" valign="middle" rowspan="1" colspan="1">Total</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">100</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">100%</td>
          </tr>
          <tr>
            <td align="left" valign="middle" rowspan="5" colspan="1">Income / Pocket Money</td>
            <td align="left" valign="middle" rowspan="1" colspan="1">Rp 1.000.000 - Rp 3.000.000</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">2</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">1%</td>
          </tr>
          <tr>
            <td align="left" valign="middle" rowspan="1" colspan="1">Rp 3.000.000 - Rp 5.000.000</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">199</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">66%</td>
          </tr>
          <tr>
            <td align="left" valign="middle" rowspan="1" colspan="1">Rp 5.000.000 - Rp 10.000.000</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">96</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">32%</td>
          </tr>
          <tr>
            <td align="left" valign="middle" rowspan="1" colspan="1">Diatas Rp 10.000.000</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">3</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">1%</td>
          </tr>
          <tr>
            <td align="left" valign="middle" rowspan="1" colspan="1">Total</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">100</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">100%</td>
          </tr>
        </tbody>
      </table>
    </table-wrap>
    <p>Based on Table 1, from 300 respondents, 63% were female and 37%
    male. This aligns with Clover Research (2024), which states that
    gender influences consumer behavior, with women often making
    household purchase decisions and paying more attention to product
    ethics and aesthetics. Tumblers like Corkcicle, available in a
    variety of colors and styles, tend to attract more female consumers
    (Mintel, 2021).</p>
    <disp-quote>
      <p>In terms of age, 67% of respondents were aged 20–28, while 33%
      were 13–</p>
    </disp-quote>
    <p>19. This younger demographic is entering a stage of financial
    independence and is increasingly conscious of sustainability.
    According to Populix (2023), over 72% of Gen Z in Indonesia have
    started using reusable, eco-friendly products, driven by
    environmental concern, aesthetics, and social status.</p>
    <p>Regarding education, 68% of respondents held a bachelor’s degree,
    indicating a consumer group that is generally more informed,
    sustainability- aware, and responsive to modern lifestyles.
    University graduates, typically aged 20–34, are also highly active
    on social media platforms such as TikTok and</p>
    <p>Instagram, which are instrumental in shaping product trends
    (DataReportal, 2024). Meanwhile, high school/vocational school
    students form the second- largest group, and as digital natives,
    they contribute significantly to trend dissemination online
    (GoodStats, 2024).</p>
    <p>A majority (56%) of respondents were students, further
    emphasizing the relevance of social media in influencing their
    product choices. Their responsiveness to Instagrammable,
    aesthetically pleasing, and eco-conscious products like Corkcicle
    makes them a strategic target market (Hypeabis.id, 2024). In terms
    of income, 66% of respondents had a monthly income or allowance
    between IDR 3,000,000–5,000,000, mainly students. Meanwhile, 32%
    earned IDR 5,000,000–10,000,000, consisting of employees, civil
    servants, and entrepreneurs with more stable financial capacity.
    This places most respondents in the middle-income category, a
    segment well-aligned with Corkcicle’s positioning as a functional,
    aesthetic, and sustainability-focused lifestyle product. The
    respondents’ income level, combined with positive brand perception
    and awareness of environmental values, supports their purchase</p>
    <p>intention toward eco-friendly products like Corkcicle.</p>
  </sec>
    <sec id="desriptive-analysis-result">
      <title>Desriptive Analysis Result</title>
      <p>Descriptive statistics, as outlined by Sugiyono (2019), are
      utilized to interpret and present research findings by calculating
      central tendencies such as the average, which is illustrated in
      the table below.</p>
      <p>Table 2. Interval Class Category</p>
      <table-wrap>
        <label>Table 2. Interval Class Category</label>
        <caption>
          <title><italic>Source: Managed by researchers (2025)</italic></title>
        </caption>
        <table>
          <thead>
            <tr>
              <th align="center" valign="middle" rowspan="1" colspan="1">Percentage</th>
              <th align="center" valign="middle" rowspan="1" colspan="1">Category</th>
            </tr>
          </thead>
          <tbody>
            <tr>
              <td align="center" valign="middle" rowspan="1" colspan="1">20% - 36%</td>
              <td align="center" valign="middle" rowspan="1" colspan="1">Very Bad</td>
            </tr>
            <tr>
              <td align="center" valign="middle" rowspan="1" colspan="1">36% - 52%</td>
              <td align="center" valign="middle" rowspan="1" colspan="1">Bad</td>
            </tr>
            <tr>
              <td align="center" valign="middle" rowspan="1" colspan="1">52% - 68%</td>
              <td align="center" valign="middle" rowspan="1" colspan="1">Average</td>
            </tr>
            <tr>
              <td align="center" valign="middle" rowspan="1" colspan="1">68% - 84%</td>
              <td align="center" valign="middle" rowspan="1" colspan="1">Good</td>
            </tr>
            <tr>
              <td align="center" valign="middle" rowspan="1" colspan="1">84% - 100%</td>
              <td align="center" valign="middle" rowspan="1" colspan="1">Very Good</td>
            </tr>
          </tbody>
        </table>
      </table-wrap>
    <disp-quote>
      <p>The results of the descriptive analysis will be integrated with
      the Structural Equation Modeling (SEM) analysis to provide a
      comprehensive picture of the relationship between variables.
      Descriptive analysis plays a role in ensuring that the data has an
      adequate distribution and there are no extreme deviations that can
      affect the results of the SEM model estimation.</p>
    </disp-quote>
    <p>Table 3. Desriptive Analysis</p>
    <table-wrap>
      <label>Table 3. Desriptive Analysis</label>
      <caption>
        <title><italic>Source: Managed by researchers (2025)</italic></title>
      </caption>
      <table>
        <thead>
          <tr>
            <th align="center" valign="middle" rowspan="1" colspan="1">Code</th>
            <th align="left" valign="middle" rowspan="1" colspan="1">Variable</th>
            <th align="center" valign="middle" rowspan="1" colspan="1">Mean</th>
            <th align="center" valign="middle" rowspan="1" colspan="1">Percentage</th>
            <th align="center" valign="middle" rowspan="1" colspan="1">Category</th>
          </tr>
        </thead>
        <tbody>
          <tr>
            <td align="center" valign="middle" rowspan="1" colspan="1">X1</td>
            <td align="left" valign="middle" rowspan="1" colspan="1">Green Brand Knowledge</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">10.162</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">84.68%</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">Very Good</td>
          </tr>
          <tr>
            <td align="center" valign="middle" rowspan="1" colspan="1">X2</td>
            <td align="left" valign="middle" rowspan="1" colspan="1">Attitude Toward Green Brand</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">5.224</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">87.07%</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">Very Good</td>
          </tr>
          <tr>
            <td align="center" valign="middle" rowspan="1" colspan="1">Y</td>
            <td align="left" valign="middle" rowspan="1" colspan="1">Purchase Intention</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">10.289</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">85.74%</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">Very Good</td>
          </tr>
          <tr>
            <td align="center" valign="middle" rowspan="1" colspan="1">Z</td>
            <td align="left" valign="middle" rowspan="1" colspan="1">Brand Equity</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">10.235</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">85.29%</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">Very Good</td>
          </tr>
        </tbody>
      </table>
    </table-wrap>
    <p>Table 3 presents the results of the descriptive analysis of the
    main research variables, which include Green Brand Knowledge (X1),
    Attitude Toward Green Brand (X2), Purchase Intention (Y), and Brand
    Equity (Z). The analysis shows that all variables fall under the
    “Very Good” category, indicating a positive perception among
    respondents.</p>

    <sec id="outer-model-test">
      <title>Outer Model Test</title>
      <disp-quote>
        <p><italic>Convergent Validity</italic></p>
      </disp-quote>
      <p>In this study, convergent validity testing was carried out by
      measuring the outer loading and Average Variance Extracted (AVE)
      values. An indicator is declared valid if it has an outer loading
      value above 0.70 and an AVE value exceeds 0.50 (Joseph F. Hair et
      al., 2021).</p>
      <p>Figure 2. PLS Algorthm Diagram</p>
      <p><italic>Source: Managed by researchers (2025)</italic></p>
      <graphic mimetype="image" mime-subtype="jpeg" xlink:href="vertopal_cfb5eb19fa8f42bebee01bf2149989b0/media/image4.jpeg" />
      <table-wrap>
      <p>Table 4. Convergent Validity</p>
        <label>Table 4. Convergent Validity</label>
        <caption>
          <title><italic>Source: Managed by researchers (2025)</italic></title>
        </caption>
        <table>
          <thead>
            <tr>
              <th align="left" valign="middle" rowspan="1" colspan="1">Indicator</th>
              <th align="center" valign="middle" rowspan="1" colspan="1">Loading factor</th>
              <th align="center" valign="middle" rowspan="1" colspan="1">Category</th>
            </tr>
          </thead>
          <tbody>
            <tr>
              <td align="left" valign="middle" rowspan="1" colspan="1">X1.1</td>
              <td align="center" valign="middle" rowspan="1" colspan="1">0.784</td>
              <td align="center" valign="middle" rowspan="1" colspan="1">Valid</td>
            </tr>
            <tr>
              <td align="left" valign="middle" rowspan="1" colspan="1">X1.2</td>
              <td align="center" valign="middle" rowspan="1" colspan="1">0.766</td>
              <td align="center" valign="middle" rowspan="1" colspan="1">Valid</td>
            </tr>
            <tr>
              <td align="left" valign="middle" rowspan="1" colspan="1">X1.3</td>
              <td align="center" valign="middle" rowspan="1" colspan="1">0.791</td>
              <td align="center" valign="middle" rowspan="1" colspan="1">Valid</td>
            </tr>
            <tr>
              <td align="left" valign="middle" rowspan="1" colspan="1">X1.4</td>
              <td align="center" valign="middle" rowspan="1" colspan="1">0.780</td>
              <td align="center" valign="middle" rowspan="1" colspan="1">Valid</td>
            </tr>
            <tr>
              <td align="left" valign="middle" rowspan="1" colspan="1">X1.5</td>
              <td align="center" valign="middle" rowspan="1" colspan="1">0.801</td>
              <td align="center" valign="middle" rowspan="1" colspan="1">Valid</td>
            </tr>
            <tr>
              <td align="left" valign="middle" rowspan="1" colspan="1">X1.6</td>
              <td align="center" valign="middle" rowspan="1" colspan="1">0.770</td>
              <td align="center" valign="middle" rowspan="1" colspan="1">Valid</td>
            </tr>
            <tr>
              <td align="left" valign="middle" rowspan="1" colspan="1">X1.7</td>
              <td align="center" valign="middle" rowspan="1" colspan="1">0.792</td>
              <td align="center" valign="middle" rowspan="1" colspan="1">Valid</td>
            </tr>
            <tr>
              <td align="left" valign="middle" rowspan="1" colspan="1">X1.8</td>
              <td align="center" valign="middle" rowspan="1" colspan="1">0.804</td>
              <td align="center" valign="middle" rowspan="1" colspan="1">Valid</td>
            </tr>
            <tr>
              <td align="left" valign="middle" rowspan="1" colspan="1">X2.1</td>
              <td align="center" valign="middle" rowspan="1" colspan="1">0.799</td>
              <td align="center" valign="middle" rowspan="1" colspan="1">Valid</td>
            </tr>
            <tr>
              <td align="left" valign="middle" rowspan="1" colspan="1">X2.1</td>
              <td align="center" valign="middle" rowspan="1" colspan="1">0.734</td>
              <td align="center" valign="middle" rowspan="1" colspan="1">Valid</td>
            </tr>
            <tr>
              <td align="left" valign="middle" rowspan="1" colspan="1">X2.2</td>
              <td align="center" valign="middle" rowspan="1" colspan="1">0.761</td>
              <td align="center" valign="middle" rowspan="1" colspan="1">Valid</td>
            </tr>
            <tr>
              <td align="left" valign="middle" rowspan="1" colspan="1">X2.4</td>
              <td align="center" valign="middle" rowspan="1" colspan="1">0.827</td>
              <td align="center" valign="middle" rowspan="1" colspan="1">Valid</td>
            </tr>
            <tr>
              <td align="left" valign="middle" rowspan="1" colspan="1">X2.4</td>
              <td align="center" valign="middle" rowspan="1" colspan="1">0.772</td>
              <td align="center" valign="middle" rowspan="1" colspan="1">Valid</td>
            </tr>
            <tr>
              <td align="left" valign="middle" rowspan="1" colspan="1">Y1.1</td>
              <td align="center" valign="middle" rowspan="1" colspan="1">0.782</td>
              <td align="center" valign="middle" rowspan="1" colspan="1">Valid</td>
            </tr>
            <tr>
              <td align="left" valign="middle" rowspan="1" colspan="1">Y1.2</td>
              <td align="center" valign="middle" rowspan="1" colspan="1">0.789</td>
              <td align="center" valign="middle" rowspan="1" colspan="1">Valid</td>
            </tr>
            <tr>
              <td align="left" valign="middle" rowspan="1" colspan="1">Y1.3</td>
              <td align="center" valign="middle" rowspan="1" colspan="1">0.795</td>
              <td align="center" valign="middle" rowspan="1" colspan="1">Valid</td>
            </tr>
            <tr>
              <td align="left" valign="middle" rowspan="1" colspan="1">Y1.4</td>
              <td align="center" valign="middle" rowspan="1" colspan="1">0.790</td>
              <td align="center" valign="middle" rowspan="1" colspan="1">Valid</td>
            </tr>
            <tr>
              <td align="left" valign="middle" rowspan="1" colspan="1">Y1.5</td>
              <td align="center" valign="middle" rowspan="1" colspan="1">0.811</td>
              <td align="center" valign="middle" rowspan="1" colspan="1">Valid</td>
            </tr>
            <tr>
              <td align="left" valign="middle" rowspan="1" colspan="1">Y1.6</td>
              <td align="center" valign="middle" rowspan="1" colspan="1">0.807</td>
              <td align="center" valign="middle" rowspan="1" colspan="1">Valid</td>
            </tr>
            <tr>
              <td align="left" valign="middle" rowspan="1" colspan="1">Y1.7</td>
              <td align="center" valign="middle" rowspan="1" colspan="1">0.769</td>
              <td align="center" valign="middle" rowspan="1" colspan="1">Valid</td>
            </tr>
            <tr>
              <td align="left" valign="middle" rowspan="1" colspan="1">Y1.8</td>
              <td align="center" valign="middle" rowspan="1" colspan="1">0.772</td>
              <td align="center" valign="middle" rowspan="1" colspan="1">Valid</td>
            </tr>
            <tr>
              <td align="left" valign="middle" rowspan="1" colspan="1">Z1.1</td>
              <td align="center" valign="middle" rowspan="1" colspan="1">0.782</td>
              <td align="center" valign="middle" rowspan="1" colspan="1">Valid</td>
            </tr>
            <tr>
              <td align="left" valign="middle" rowspan="1" colspan="1">Z1.2</td>
              <td align="center" valign="middle" rowspan="1" colspan="1">0.789</td>
              <td align="center" valign="middle" rowspan="1" colspan="1">Valid</td>
            </tr>
            <tr>
              <td align="left" valign="middle" rowspan="1" colspan="1">Z1.3</td>
              <td align="center" valign="middle" rowspan="1" colspan="1">0.795</td>
              <td align="center" valign="middle" rowspan="1" colspan="1">Valid</td>
            </tr>
            <tr>
              <td align="left" valign="middle" rowspan="1" colspan="1">Z1.4</td>
              <td align="center" valign="middle" rowspan="1" colspan="1">0.790</td>
              <td align="center" valign="middle" rowspan="1" colspan="1">Valid</td>
            </tr>
            <tr>
              <td align="left" valign="middle" rowspan="1" colspan="1">Z1.5</td>
              <td align="center" valign="middle" rowspan="1" colspan="1">0.811</td>
              <td align="center" valign="middle" rowspan="1" colspan="1">Valid</td>
            </tr>
            <tr>
              <td align="left" valign="middle" rowspan="1" colspan="1">Z1.6</td>
              <td align="center" valign="middle" rowspan="1" colspan="1">0.807</td>
              <td align="center" valign="middle" rowspan="1" colspan="1">Valid</td>
            </tr>
            <tr>
              <td align="left" valign="middle" rowspan="1" colspan="1">Z1.7</td>
              <td align="center" valign="middle" rowspan="1" colspan="1">0.769</td>
              <td align="center" valign="middle" rowspan="1" colspan="1">Valid</td>
            </tr>
            <tr>
              <td align="left" valign="middle" rowspan="1" colspan="1">Z1.8</td>
              <td align="center" valign="middle" rowspan="1" colspan="1">0.784</td>
              <td align="center" valign="middle" rowspan="1" colspan="1">Valid</td>
            </tr>
          </tbody>
        </table>
      </table-wrap>
    <p>Based on Table 4, the results of the outer loading values show
    that all indicators of each variable have values above 0.70. This
    indicates that all question items are declared valid and suitable
    for use as instruments in research. AVE value can describe the
    extent to which a group of indicators truly represents the same
    construct. The results of the AVE calculation are presented in the
    following table:</p>
    <p>Table 5. Average Variance Extracted (AVE)</p>
    <table-wrap>
      <label>Table 5. Average Variance Extracted (AVE)</label>
      <caption>
        <title><italic>Source: Managed by researchers (2025)</italic></title>
      </caption>
      <table>
        <thead>
          <tr>
            <th align="left" valign="middle" rowspan="1" colspan="1">Variable</th>
            <th align="center" valign="middle" rowspan="1" colspan="1">AVE Value</th>
            <th align="center" valign="middle" rowspan="1" colspan="1">Category</th>
          </tr>
        </thead>
        <tbody>
          <tr>
            <td align="left" valign="middle" rowspan="1" colspan="1">Green Brand Knowledge</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">0.618</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">Valid</td>
          </tr>
          <tr>
            <td align="left" valign="middle" rowspan="1" colspan="1">Attitude Toward Green Brand</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">0.610</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">Valid</td>
          </tr>
          <tr>
            <td align="left" valign="middle" rowspan="1" colspan="1">Purchase Intention</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">0.623</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">Valid</td>
          </tr>
          <tr>
            <td align="left" valign="middle" rowspan="1" colspan="1">Brand Equity</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">0.634</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">Valid</td>
          </tr>
        </tbody>
      </table>
    </table-wrap>
    <p>Table 5, shows that all variables have AVE values above 0.50,
    which indicates that each indicator meets the convergent validity
    criteria.</p>
    <disp-quote>
      <p><italic>Discriminant Validity</italic></p>
    </disp-quote>
    <p>Table 6. Discriminant Validity</p>
    <table-wrap>
      <label>Table 6. Discriminant Validity</label>
      <caption>
        <title><italic>Source: Managed by researchers (2025)</italic></title>
      </caption>
      <table>
        <thead>
          <tr>
            <th align="left" valign="middle" rowspan="1" colspan="1">Indicator</th>
            <th align="center" valign="middle" rowspan="1" colspan="1">GBK</th>
            <th align="center" valign="middle" rowspan="1" colspan="1">ATGB</th>
            <th align="center" valign="middle" rowspan="1" colspan="1">PI</th>
            <th align="center" valign="middle" rowspan="1" colspan="1">BE</th>
          </tr>
        </thead>
        <tbody>
          <tr>
            <td align="left" valign="middle" rowspan="1" colspan="1">X1.1</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">0.784</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">0.378</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">0.550</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">0.568</td>
          </tr>
          <tr>
            <td align="left" valign="middle" rowspan="1" colspan="1">X1.2</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">0.766</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">0.268</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">0.436</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">0.506</td>
          </tr>
          <tr>
            <td align="left" valign="middle" rowspan="1" colspan="1">X1.3</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">0.791</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">0.327</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">0.506</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">0.481</td>
          </tr>
          <tr>
            <td align="left" valign="middle" rowspan="1" colspan="1">X1.4</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">0.780</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">0.268</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">0.403</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">0.436</td>
          </tr>
          <tr>
            <td align="left" valign="middle" rowspan="1" colspan="1">X1.5</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">0.801</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">0.322</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">0.479</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">0.503</td>
          </tr>
          <tr>
            <td align="left" valign="middle" rowspan="1" colspan="1">X1.6</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">0.770</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">0.341</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">0.500</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">0.492</td>
          </tr>
          <tr>
            <td align="left" valign="middle" rowspan="1" colspan="1">X1.7</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">0.792</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">0.294</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">0.410</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">0.458</td>
          </tr>
          <tr>
            <td align="left" valign="middle" rowspan="1" colspan="1">X1.8</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">0.804</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">0.385</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">0.509</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">0.509</td>
          </tr>
          <tr>
            <td align="left" valign="middle" rowspan="1" colspan="1">X2.1</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">0.303</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">0.799</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">0.492</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">0.465</td>
          </tr>
          <tr>
            <td align="left" valign="middle" rowspan="1" colspan="1">X2.2</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">0.356</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">0.734</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">0.467</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">0.454</td>
          </tr>
          <tr>
            <td align="left" valign="middle" rowspan="1" colspan="1">X2.3</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">0.268</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">0.761</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">0.438</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">0.430</td>
          </tr>
          <tr>
            <td align="left" valign="middle" rowspan="1" colspan="1">X2.4</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">0.363</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">0.827</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">0.520</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">0.510</td>
          </tr>
          <tr>
            <td align="left" valign="middle" rowspan="1" colspan="1">Y1.1</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">0.454</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">0.505</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">0.772</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">0.530</td>
          </tr>
          <tr>
            <td align="left" valign="middle" rowspan="1" colspan="1">Y1.2</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">0.470</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">0.455</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">0.782</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">0.582</td>
          </tr>
          <tr>
            <td align="left" valign="middle" rowspan="1" colspan="1">Y1.3</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">0.490</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">0.447</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">0.789</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">0.555</td>
          </tr>
          <tr>
            <td align="left" valign="middle" rowspan="1" colspan="1">Y1.4</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">0.482</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">0.559</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">0.795</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">0.595</td>
          </tr>
          <tr>
            <td align="left" valign="middle" rowspan="1" colspan="1">Y1.5</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">0.491</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">0.388</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">0.790</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">0.534</td>
          </tr>
          <tr>
            <td align="left" valign="middle" rowspan="1" colspan="1">Y1.6</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">0.515</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">0.506</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">0.811</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">0.577</td>
          </tr>
          <tr>
            <td align="left" valign="middle" rowspan="1" colspan="1">Y1.7</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">0.511</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">0.489</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">0.807</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">0.544</td>
          </tr>
          <tr>
            <td align="left" valign="middle" rowspan="1" colspan="1">Y1.8</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">0.427</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">0.523</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">0.769</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">0.521</td>
          </tr>
          <tr>
            <td align="left" valign="middle" rowspan="1" colspan="1">Z1.1</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">0.505</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">0.453</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">0.586</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">0.783</td>
          </tr>
          <tr>
            <td align="left" valign="middle" rowspan="1" colspan="1">Z1.2</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">0.443</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">0.476</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">0.550</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">0.780</td>
          </tr>
          <tr>
            <td align="left" valign="middle" rowspan="1" colspan="1">Z1.3</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">0.530</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">0.516</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">0.575</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">0.800</td>
          </tr>
          <tr>
            <td align="left" valign="middle" rowspan="1" colspan="1">Z1.4</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">0.524</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">0.508</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">0.549</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">0.804</td>
          </tr>
          <tr>
            <td align="left" valign="middle" rowspan="1" colspan="1">Z1.5</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">0.493</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">0.404</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">0.583</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">0.770</td>
          </tr>
          <tr>
            <td align="left" valign="middle" rowspan="1" colspan="1">Z1.6</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">0.520</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">0.451</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">0.523</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">0.783</td>
          </tr>
          <tr>
            <td align="left" valign="middle" rowspan="1" colspan="1">Z1.7</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">0.468</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">0.496</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">0.554</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">0.809</td>
          </tr>
          <tr>
            <td align="left" valign="middle" rowspan="1" colspan="1">Z1.8</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">0.539</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">0.492</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">0.560</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">0.841</td>
          </tr>
        </tbody>
      </table>
    </table-wrap>
    <p>Discriminant validity is a test to ensure that a variable is
    truly different from other variables in the model. If the cross
    loading value of an indicator is higher against its own variable
    compared to other variables, and the value is above 0.70, then the
    discriminant validity is considered fulfilled. Table 6, all
    indicators have loading values above 0.70 and the values are higher
    against their respective variables compared to other variables.
    Thus, it can be concluded that the discriminant validity in this
    study has been achieved.</p>
    <disp-quote>
      <p><italic>Composite Reliabilty</italic></p>
    </disp-quote>
    <p>Table 7. Composite Reliabilty</p>
    <table-wrap>
      <label>Table 7. Composite Reliabilty</label>
      <caption>
        <title><italic>Source: Managed by researchers (2025)</italic></title>
      </caption>
      <table>
        <thead>
          <tr>
            <th align="left" valign="middle" rowspan="1" colspan="1">Variabel</th>
            <th align="center" valign="middle" rowspan="1" colspan="1">Cronbach’s alpha</th>
            <th align="center" valign="middle" rowspan="1" colspan="1">Keandalan komposit (rho_a)</th>
            <th align="center" valign="middle" rowspan="1" colspan="1">Keandalan komposit (rho_c)</th>
          </tr>
        </thead>
        <tbody>
          <tr>
            <td align="left" valign="middle" rowspan="1" colspan="1">Green Brand Knowledge</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">0.912</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">0.914</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">0.928</td>
          </tr>
          <tr>
            <td align="left" valign="middle" rowspan="1" colspan="1">Attitude Toward Green Brand</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">0.787</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">0.791</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">0.862</td>
          </tr>
          <tr>
            <td align="left" valign="middle" rowspan="1" colspan="1">Purchase Intention</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">0.914</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">0.914</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">0.930</td>
          </tr>
          <tr>
            <td align="left" valign="middle" rowspan="1" colspan="1">Brand Equity</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">0.918</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">0.918</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">0.933</td>
          </tr>
        </tbody>
      </table>
    </table-wrap>
    <p>Based on Table 7, all variables in this study have Cronbach's
    Alpha values above 0.70 Green Brand Knowledge (0.912), Attitude
    Toward Green Brand (0.787), Purchase Intention (0.914), and Brand
    Equity (0.918) which indicate good reliability. In addition, the
    Composite Reliability values (rho_a and rho_c) from</p>
    <p>SmartPLS 4.0 processing also exceed 0.70, according to Hair et
    al.'s (2019) standards. Thus, all variables are declared
    reliable.</p>
    <sec id="inner-model-test">
      <title>Inner Model Test</title>
      <disp-quote>
        <p><italic>R - Square</italic></p>
      </disp-quote>
      <p>R-Square (R²) analysis is used to measure the extent to which
      the independent (exogenous) variables are able to explain the
      dependent (endogenous) variables in a research model. The higher
      the R² value on an endogenous construct, the greater the
      cumulative effect of exogenous constructs on that construct. The
      R² value ranges from 0 to 1, where the value closer to 1 reflects
      the better explanatory ability of the model. Referring to Hair et
      al. (2019), the level of interpretation of the R² value in general
      is as follows:</p>
      <list list-type="bullet">
        <list-item>
          <p>R² ≥ 0.75 indicates a strong (substantial) influence,</p>
        </list-item>
        <list-item>
          <p>R² ≥ 0.50 indicates a moderate influence,</p>
        </list-item>
        <list-item>
          <p>R² ≥ 0.25 indicates a weak influence (weak).</p>
        </list-item>
      </list>
      <p>Table 8. R - Square</p>
      <table-wrap>
        <label>Table 8. R - Square</label>
        <caption>
          <title><italic>Source: Managed by researchers (2025)</italic></title>
        </caption>
        <table>
          <thead>
            <tr>
              <th align="left" valign="middle" rowspan="1" colspan="1">Variabel Endogen</th>
              <th align="center" valign="middle" rowspan="1" colspan="1">R-square</th>
              <th align="center" valign="middle" rowspan="1" colspan="1">R-square adjusted</th>
            </tr>
          </thead>
          <tbody>
            <tr>
              <td align="left" valign="middle" rowspan="1" colspan="1">Y1 – Purchase Intention</td>
              <td align="center" valign="middle" rowspan="1" colspan="1">0.593</td>
              <td align="center" valign="middle" rowspan="1" colspan="1">0.589</td>
            </tr>
            <tr>
              <td align="left" valign="middle" rowspan="1" colspan="1">Z1 – Brand Equity</td>
              <td align="center" valign="middle" rowspan="1" colspan="1">0.535</td>
              <td align="center" valign="middle" rowspan="1" colspan="1">0.532</td>
            </tr>
          </tbody>
        </table>
      </table-wrap>
    <p>Based on Table 8, it is known that the Brand Equity construct has
    an R- Square value of 0.535. This means that about 53.5% of the
    variation in Brand Equity can be explained by the two independent
    variables, namely Green Brand Knowledge and Attitude Toward Green
    Brand. The remaining 46.5% is influenced by other factors not
    included in this research model. On the other hand, the Purchase
    Intention construct shows an R-Square value of 0.593, which
    indicates that 59.3% of changes in consumer purchase intention are
    explained by Brand Equity, while the remaining 40.7% comes from
    other variables outside the model. With an R-Square value above
    0.50, both endogenous constructs fall into the moderate to strong
    category based on the classification of Hair et al. (2019), which
    means that the model has a fairly good capability in explaining the
    variables studied.</p>
    <sec id="q-square">
      <title>Q – Square</title>
      <p>The Q² value is used to evaluate how good the predictive
      ability of a construct is in the PLS-SEM model. According to Hair
      et al. (2019), if the Q² value is greater than 0, then the model
      is considered to have sufficient predictive relevance to the
      construct being analyzed.</p>
      <disp-quote>
        <p>Table 9. Q - Square</p>
      </disp-quote>
      <table-wrap>
        <label>Table 9. Q - Square</label>
        <caption>
          <title><italic>Source: Managed by researchers (2025)</italic></title>
        </caption>
        <table>
          <thead>
            <tr>
              <th align="left" valign="middle" rowspan="1" colspan="1">Variable</th>
              <th align="center" valign="middle" rowspan="1" colspan="1">Q<inline-graphic xlink:href="Screenshot_2025-07-21_111321.png"/>predict</th>
            </tr>
          </thead>
          <tbody>
            <tr>
              <td align="left" valign="middle" rowspan="1" colspan="1">Y1 – Purchase Intention</td>
              <td align="center" valign="middle" rowspan="1" colspan="1">0.504</td>
            </tr>
            <tr>
              <td align="left" valign="middle" rowspan="1" colspan="1">Z1 – Brand Equity</td>
              <td align="center" valign="middle" rowspan="1" colspan="1">0.508</td>
            </tr>
          </tbody>
        </table>
      </table-wrap>
    <p>The Q-square analysis results show that the predictive relevance
    value is above 0 (&gt; 0). Thus, it can be concluded that both
    variables have good predictive ability, so this model is suitable
    for use under similar conditions or measurement assumptions.</p>
    <disp-quote>
      <p><italic>F – Square</italic></p>
    </disp-quote>
    <p>According to Krisnando &amp; Novitasari (2021), the F test or
    simultaneous test is used to evaluate whether all independent
    variables involved in the model together have an impact on the
    dependent variable. Based on guidelines from Cohen cited by Selya et
    al. (2012), the F-Square (f²) value can be interpreted as
    follows:</p>
    <list list-type="bullet">
      <list-item>
        <p>f² ≥ 0.02 indicates a small effect,</p>
      </list-item>
      <list-item>
        <p>f² ≥ 0.15 indicates a medium effect,</p>
      </list-item>
      <list-item>
        <p>f² ≥ 0.35 indicates a large effect.</p>
      </list-item>
    </list>
    <disp-quote>
      <p>Table 10. F - Square</p>
    </disp-quote>
    <table-wrap id="tbl10">
      <label>Table 10. F - Square</label>
      <caption>
        <title><italic>Source: Managed by researchers (2025)</italic></title>
      </caption>
      <table>
        <thead>
          <tr>
            <th align="center" valign="middle" rowspan="1" colspan="1">No.</th>
            <th align="left" valign="middle" rowspan="1" colspan="1">Connection</th>
            <th align="center" valign="middle" rowspan="1" colspan="1">f-square</th>
            <th align="left" valign="middle" rowspan="1" colspan="1">Criteria</th>
          </tr>
        </thead>
        <tbody>
          <tr>
            <td align="center" valign="middle" rowspan="1" colspan="1">1.</td>
            <td align="left" valign="middle" rowspan="1" colspan="1">Attitude Toward Green Brand on Purchase Intention</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">0.131</td>
            <td align="left" valign="middle" rowspan="1" colspan="1">Small effect approaching moderate</td>
          </tr>
          <tr>
            <td align="center" valign="middle" rowspan="1" colspan="1">2.</td>
            <td align="left" valign="middle" rowspan="1" colspan="1">Attitude Toward Green Brand on Brand Equity</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">0.290</td>
            <td align="left" valign="middle" rowspan="1" colspan="1">Moderate effect</td>
          </tr>
          <tr>
            <td align="center" valign="middle" rowspan="1" colspan="1">3.</td>
            <td align="left" valign="middle" rowspan="1" colspan="1">Brand Equity on Purchase Intention</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">0.157</td>
            <td align="left" valign="middle" rowspan="1" colspan="1">Moderate effect</td>
          </tr>
          <tr>
            <td align="center" valign="middle" rowspan="1" colspan="1">4.</td>
            <td align="left" valign="middle" rowspan="1" colspan="1">Green Brand Knowledge onPurchase Intention</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">0.095</td>
            <td align="left" valign="middle" rowspan="1" colspan="1">Small effect</td>
          </tr>
          <tr>
            <td align="center" valign="middle" rowspan="1" colspan="1">5.</td>
            <td align="left" valign="middle" rowspan="1" colspan="1">Green Brand Knowledge on Brand Equity</td>
            <td align="center" valign="middle" rowspan="1" colspan="1">0.384</td>
            <td align="left" valign="middle" rowspan="1" colspan="1">Big effect</td>
          </tr>
        </tbody>
      </table>
    </table-wrap>
    <p>Based on Table 9, it can be seen that the relationship between
    Attitude Toward Green Brand and Brand Equity, as well as between
    Brand Equity and Purchase Intention, falls into the medium effect
    category. Meanwhile, the relationship between Green Brand Knowledge
    and Brand Equity shows a strong effect, indicating that this
    variable has the most significant influence on changes in Brand
    Equity. The relationship between Green Brand Knowledge to Purchase
    Intention and Attitude Toward Green Brand to Purchase Intention
    shows a relatively small effect, although it is close to the medium
    category. Overall, these results indicate that all variables in the
    study significantly influence each other in forming the structural
    model studied.</p>
    <sec id="hypothesis-test-result">
      <title>Hypothesis Test Result</title>
      <p>This hypothesis testing is done by assessing the path
      coefficient value and its significance level using the
      bootstrapping technique. A relationship is said to be significant
      if the t-statistic value is more than 1.96 at the 5% significance
      level (two-way). Therefore, hypothesis testing aims to ascertain
      whether the assumed relationship between the variables in the
      model is statistically acceptable.</p>
      <p>Table 11. Hypothesis Test Result</p>
      <table-wrap>
        <label>Table 11. Hypothesis Test Result</label>
        <caption>
          <title><italic>Source: Managed by researchers (2025)</italic></title>
        </caption>
        <table>
          <thead>
            <tr>
              <th align="left" valign="middle" rowspan="1" colspan="1">Hipotesis</th>
              <th align="center" valign="middle" rowspan="1" colspan="1">T statistics</th>
              <th align="center" valign="middle" rowspan="1" colspan="1">P values</th>
              <th align="left" valign="middle" rowspan="1" colspan="1">Hasil</th>
            </tr>
          </thead>
          <tbody>
            <tr>
              <td align="left" valign="middle" rowspan="1" colspan="1">H1</td>
              <td align="center" valign="middle" rowspan="1" colspan="1">2.200</td>
              <td align="center" valign="middle" rowspan="1" colspan="1">0.028</td>
              <td align="left" valign="middle" rowspan="1" colspan="1">Accepted</td>
            </tr>
            <tr>
              <td align="left" valign="middle" rowspan="1" colspan="1">H2</td>
              <td align="center" valign="middle" rowspan="1" colspan="1">4.936</td>
              <td align="center" valign="middle" rowspan="1" colspan="1">0.000</td>
              <td align="left" valign="middle" rowspan="1" colspan="1">Accepted</td>
            </tr>
            <tr>
              <td align="left" valign="middle" rowspan="1" colspan="1">H3</td>
              <td align="center" valign="middle" rowspan="1" colspan="1">2.996</td>
              <td align="center" valign="middle" rowspan="1" colspan="1">0.003</td>
              <td align="left" valign="middle" rowspan="1" colspan="1">Accepted</td>
            </tr>
            <tr>
              <td align="left" valign="middle" rowspan="1" colspan="1">H4</td>
              <td align="center" valign="middle" rowspan="1" colspan="1">4.625</td>
              <td align="center" valign="middle" rowspan="1" colspan="1">0.000</td>
              <td align="left" valign="middle" rowspan="1" colspan="1">Accepted</td>
            </tr>
            <tr>
              <td align="left" valign="middle" rowspan="1" colspan="1">H5</td>
              <td align="center" valign="middle" rowspan="1" colspan="1">2.667</td>
              <td align="center" valign="middle" rowspan="1" colspan="1">0.008</td>
              <td align="left" valign="middle" rowspan="1" colspan="1">Accepted</td>
            </tr>
            <tr>
              <td align="left" valign="middle" rowspan="1" colspan="1">H6</td>
              <td align="center" valign="middle" rowspan="1" colspan="1">2.378</td>
              <td align="center" valign="middle" rowspan="1" colspan="1">0.017</td>
              <td align="left" valign="middle" rowspan="1" colspan="1">Accepted</td>
            </tr>
            <tr>
              <td align="left" valign="middle" rowspan="1" colspan="1">H7</td>
              <td align="center" valign="middle" rowspan="1" colspan="1">2.266</td>
              <td align="center" valign="middle" rowspan="1" colspan="1">0.024</td>
              <td align="left" valign="middle" rowspan="1" colspan="1">Accepted</td>
            </tr>
          </tbody>
        </table>
      </table-wrap>
    </sec>
    </sec>
    </sec>
    </sec>
  </sec>
</sec>










<sec>
  <title>DISCUSSION</title>
  <sec id="the-influence-of-green-brand-knowledge-on-purchase-intention">
    <title>The influence of Green Brand Knowledge on Purchase
    Intention</title>
    <p>The analysis shows that Green Brand Knowledge has a positive and
    significant effect on Purchase Intention (T-statistic = 2.200 &gt;
    1.96; P-value = 0.028</p>
    <p>&lt; 0.05). This means that the higher consumers' knowledge of
    the environmentally friendly aspects of a brand, the greater their
    intention to buy the product. In the context of Corkcicle,
    consumers' understanding of sustainability practices such as the use
    of recycled materials, reduction of single-use plastics, and
    environmental campaigns drives positive associations towards the
    brand. This knowledge makes consumers feel that their purchase
    contributes to environmental conservation, thus strengthening
    purchase intention. This finding is consistent with previous studies
    (Saputri &amp; Paramita, 2024; Nova &amp; Silvianita, 2023;
    Samudera, 2022) which show that green brand knowledge increases
    purchase intention on sustainable products. Corkcicle's educational
    strategies, such as the recycling partnership with Rekosistem and
    the #MotherEarthDay campaign, are effective in building such
    awareness. Proper education and transparent communication are
    essential to drive consumer purchase intent.</p>
  </sec>
  <sec id="the-influence-of-green-brand-knowledge-has-a-positive-effect-on-brand-equity">
    <title>The influence of Green Brand Knowledge has a positive effect
    on Brand Equity</title>
    <p>The results of the analysis show that Green Brand Knowledge has a
    positive and significant effect on Brand Equity (T-statistic = 4.936
    &gt; 1.96; P-value</p>
    <p>= 0.000 &lt; 0.05). This means that the higher the consumer
    knowledge about a brand's sustainability practices, the stronger the
    brand equity formed.</p>
    <p>At Corkcicle, consumer understanding of practices such as the use
    of recycled materials, plastic reduction, and eco-friendly campaigns
    contribute to increased trust, loyalty, and perception of brand
    quality. The &quot;stylish sustainability&quot; strategy carried by
    Corkcicle has succeeded in forming a positive image, strengthening
    brand equity dimensions such as brand awareness and brand
    association. This finding is supported by Himawan (2019) and Huang
    et al. (2019), who emphasized that consumer knowledge about a
    brand's ecological</p>
    <p>commitment increases trust and loyalty. Therefore, education and
    transparency regarding sustainability initiatives are key to
    strengthening a brand's position in an increasingly environmentally
    conscious market.</p>
  </sec>
  <sec id="the-influence-of-attitude-toward-green-brand-has-a-positive-effect-on-purchase-intention">
    <title>The influence of Attitude Toward Green Brand has a positive
    effect on Purchase Intention</title>
    <p>Based on the analysis, consumers' positive attitude towards green
    brands was shown to have a significant effect on purchase intention
    (T-statistic = 2.996</p>
    <p>&gt; 1.96; P-value = 0.003 &lt; 0.05). This means that the more
    positive consumers perceive the sustainability value of a brand, the
    higher their intention to buy the product. This finding is in line
    with Nova and Silvianita's (2021) study, which states that consumer
    attitudes towards green brands drive purchase intention through a
    value match between consumers and brand principles.</p>
    <p>In the case of Corkcicle, positive attitudes are formed through
    environmental commitments such as the use of environmentally
    friendly packaging, recycling programs, and participation in social
    projects such as providing access to clean water in NTT. These
    efforts strengthen Corkcicle's image as a brand that is not only
    functional, but also contributes to sustainability, thus encouraging
    consumer Purchase Intention.</p>
  </sec>
  <sec id="the-influence-of-attitude-toward-green-brand-has-a-positive-effect-on-brand-equity">
    <title>The influence of Attitude Toward Green Brand has a positive
    effect on Brand Equity</title>
    <p>The results of the analysis show that consumer attitudes towards
    green brands have a positive and significant effect on brand equity
    (T-statistic = 4.625</p>
    <p>&gt; 1.96; P-value = 0.000 &lt; 0.05). This means that the
    hypothesis is accepted.</p>
    <p>Corkcicle has successfully built brand equity through an
    environmentally friendly image that is effectively communicated,
    especially to the younger generation. Digital strategies such as
    campaigns on TikTok reinforce the perception that Corkcicle products
    are not only stylish, but also aligned with sustainability values.
    This finding is in line with the research of Wulandari et al.
    (2024), which states that positive attitudes towards green brands
    encourage loyalty, word of mouth, and strengthen brand position in
    the market. Thus, forming positive consumer attitudes towards green
    values is very important to strengthen Brand Equity.</p>
  </sec>
  <sec id="the-influence-of-green-brand-knowledge-has-a-positive-effect-on-purchase-intention-through-brand-equity-as-a-mediating-variable">
    <title>The influence of Green Brand Knowledge has a positive effect
    on Purchase Intention through Brand Equity as a mediating
    variable</title>
    <p>The test results show that Brand Equity positively and
    significantly mediates the effect of Green Brand Knowledge on
    Purchase Intention (T-statistic</p>
    <p>= 2.266 &gt; 1.96; P-value = 0.024 &lt; 0.05), so the hypothesis
    is accepted. This means that consumer knowledge about Corkcicle's
    sustainability aspects - such as the use of recycled materials and
    plastic reduction - does not directly increase purchase intention,
    but through the formation of Brand Equity first.</p>
    <p>Brand Equity is formed from perceived quality, associations to
    green values, loyalty, and trust in the brand's environmental
    commitment. When brand equity is strong, purchase intention
    increases. This finding is in line with the research of Suki et al.
    (2021) which confirms that Green Brand Knowledge affects</p>
    <p>Purchase Intention through Brand Equity. Therefore, Corkcicle
    needs to continue to strengthen its green brand image while
    consistently communicating its sustainability initiatives to
    encourage consumer purchase intentions.</p>
  </sec>
  <sec id="the-influence-of-attitude-toward-green-brand-has-a-positive-effect-on-purchase-intention-through-brand-equity-as-a-mediating-variable">
    <title>The influence of Attitude Toward Green Brand has a positive
    effect on Purchase Intention through Brand Equity as a mediating
    variable</title>
    <p>The test results show that Brand Equity positively and
    significantly mediates the effect of Attitude Toward Green Brand on
    Purchase Intention (T- statistic = 2.378 &gt; 1.96; P-value = 0.017
    &lt; 0.05). Thus, the hypothesis is accepted. This means that
    consumers' positive attitudes towards the sustainability values
    promoted by Corkcicle—such as the use of reused materials,
    environmentally friendly design, and green campaigns—do not
    necessarily drive purchase intentions without the support of Brand
    Equity.</p>
    <p>Brand Equity includes perceptions of product quality,
    associations with environmental values, loyalty, and trust in the
    brand's sustainability commitment. When these elements are strongly
    formed, a positive attitude towards a green brand is more effective
    in driving Purchase Intention.</p>
    <p>This finding is in line with research by Chen &amp; Chang (2020)
    which states that brand equity plays an important role in linking
    consumer attitudes towards green brands with purchasing decisions.
    Therefore, Corkcicle needs to combine sustainability communication
    strategies with brand image strengthening to drive consumer purchase
    intentions.</p>
    <p><italic><bold>The influence of Green Brand Knowledge and Attitude
    Toward Green Brand simultaneously has a positive effect on Purchase
    Intention through Brand Equity</bold></italic> The results of the
    analysis show that Brand Equity significantly mediates</p>
    <p>the combined effect of Green Brand Knowledge and Attitude Toward
    Green Brand on Purchase Intention (T-statistic = 2.200 &gt; 1.96;
    P-value = 0.028 &lt; 0.05). This means that the hypothesis is
    accepted. The combination of consumer knowledge of sustainability
    initiatives (cognitive aspect) and positive attitudes towards green
    brands (affective aspect) contributes to forming strong brand
    equity. Brand Equity formed from these two factors increases the
    perception of quality, trust, and loyalty to the brand, thereby
    encouraging Purchase Intention. This finding is consistent with the
    study of Generalvine et al. (2025) which emphasizes the importance
    of an integrated approach in green marketing: education and attitude
    formation need to go hand in hand to build Brand Equity that can
    influence purchase intention. Therefore, companies must touch the
    cognitive and emotional aspects of consumers to strengthen brand
    equity as a</p>
    <p>whole.</p>
  </sec>
</sec>









<sec>
  <title>CONCLUSIONS AND RECOMMENDATIONS</title>
  <sec id="conclusions">
    <title>Conclusions</title>
    <p>From the research findings that have been conducted, the
    following can be concluded:</p>
    <list list-type="order">
      <list-item>
        <p>Green Brand Knowledge has a positive and significant effect
        on Purchase Intention. Consumer understanding of sustainability
        practices such as the use of BPA-free materials and recycling
        programs drives purchase intention.</p>
      </list-item>
      <list-item>
        <p>Green Brand Knowledge also increases Brand Equity, because
        consumers view environmentally conscious brands as higher
        quality and more trustworthy.</p>
      </list-item>
      <list-item>
        <p>Attitude Toward Green Brand also has a positive effect on
        Purchase Intention, reflecting the pro-environmental attitude of
        Generation Z.</p>
      </list-item>
      <list-item>
        <p>This attitude also increases Brand Equity, because it creates
        an emotional connection and loyalty to the brand.</p>
      </list-item>
      <list-item>
        <p>Brand Equity is proven to mediate the relationship between
        Green Brand Knowledge and Purchase Intention. Corkcicle's image
        as a &quot;sultan's tumbler&quot; that went viral on social
        media strengthens the perception of quality and brand
        appeal.</p>
      </list-item>
      <list-item>
        <p>Brand Equity also mediates the influence of Attitude Toward
        Green Brand on Purchase Intention. A positive attitude will be
        more effective if supported by a strong, fashionable, and urban
        lifestyle brand image.</p>
      </list-item>
      <list-item>
        <p>Simultaneously, Green Brand Knowledge and Attitude Toward
        Green Brand influence purchase intention through Brand Equity.
        Sustainability factors and effective digital strategies make
        Brand Equity the main key in driving Purchase Intention.</p>
      </list-item>
    </list>
  </sec>
  <sec id="recommendations">
    <title>Recommendations</title>
    <disp-quote>
      <p><italic>Theoretical Suggestions</italic></p>
    </disp-quote>
    <list list-type="bullet">
      <list-item>
        <p>This study enriches the study of green marketing and the
        mediating role of brand equity. In the future, it is recommended
        to examine the dimensions of brand equity more specifically.</p>
      </list-item>
      <list-item>
        <p>The role of social media in forming brand equity needs to be
        explored further, especially through the digital brand
        engagement and e-WOM approaches.</p>
      </list-item>
      <list-item>
        <p>The combination of traditional theories such as TPB with a
        digital approach is considered important to adapt to the
        characteristics of Generation Z.</p>
      </list-item>
      <list-item>
        <p>Consumers not only consider sustainability aspects, but also
        image and style. Therefore, a new theoretical approach that
        combines green values and social identity needs to be
        developed.</p>
      </list-item>
    </list>
    <disp-quote>
      <p><italic>Practical Suggestions</italic></p>
    </disp-quote>
    <list list-type="bullet">
      <list-item>
        <p>Corkcicle is advised to focus on strengthening brand equity
        through communication that emphasizes quality, exclusivity, and
        sustainable aesthetic values.</p>
      </list-item>
      <list-item>
        <p>Maximize the use of TikTok and Instagram to increase brand
        awareness and brand association with an environmentally friendly
        lifestyle.</p>
      </list-item>
      <list-item>
        <p>Collaborate with relevant influencers who have high
        credibility in sustainability issues to form positive consumer
        perceptions.</p>
      </list-item>
      <list-item>
        <p>Build a community of users who actively share experiences and
        participate in environmental campaigns to increase loyalty and
        emotional attachment to the brand.</p>
      </list-item>
    </list>
  </sec>
</sec>




<sec>
  <title>ADVANCED RESEARCH</title>
  <p>This study has limitations in the scope of respondents who only
  come from Generation Z in Bandung City and focus on one brand, namely
  Corkcicle. In addition, the variables studied do not include other
  external factors such as price or social media influence.</p>
  <p>For further research, it is recommended to:</p>
  <list list-type="order">
    <list-item>
      <p>Involve respondents from various regions and age groups.</p>
    </list-item>
    <list-item>
      <p>Study other eco-friendly brands.</p>
    </list-item>
    <list-item>
      <p>Add external variables such as e-WOM, price, or influencer
      credibility for more comprehensive results.</p>
    </list-item>
  </list>
</sec>




<sec>
  <title>ACKNOWLEDGMENT</title>
  <p>The authors would like to express their deepest gratitude to all
  those who have provided support in the process of preparing this
  research. Special thanks go to the supervisor for his guidance and
  direction, as well as colleagues who have provided valuable input and
  suggestions. The author also appreciates the help of respondents who
  have been willing to take the time to fill out the questionnaire, as
  well as those who provided moral and financial support during the
  research process. All of this help and support is very meaningful in
  completing this research well.</p>
</sec>












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