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  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">IJAR</journal-id>
      <journal-title-group>
        <journal-title>Indonesian Journal of Advanced Research</journal-title>
      </journal-title-group>
      <issn pub-type="epub">2986-0768</issn>
      <publisher>
        <publisher-name>Formosa Publisher</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.55927/ijar.v4i7.14912</article-id>
      <title-group>
        <article-title>Spiritual Quotient as an Extending the TAM Model: Gen Z Muslim’s Intention to Use Islamic E-Wallet</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author" corresp="yes">
          <name>
            <surname>Rahmawaty</surname>
            <given-names>Anita</given-names>
          </name>
          <aff>UIN Sunan Kudus, Indonesia</aff>
          <email>anitarahmawaty@iainkudus.ac.id</email>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Taufikin</surname>
            <given-names>Taufikin</given-names>
          </name>
          <aff>UIN Sunan Kudus, Indonesia</aff>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Astutik</surname>
            <given-names>Puji</given-names>
          </name>
          <aff>UIN Sunan Kudus, Indonesia</aff>
        </contrib>
      </contrib-group>
      <pub-date pub-type="epub">
        <day>27</day>
        <month>07</month>
        <year>2025</year>
      </pub-date>
      <history>
        <date date-type="received">
          <day>11</day>
          <month>05</month>
          <year>2025</year>
        </date>
        <date date-type="rev-recd">
          <day>25</day>
          <month>06</month>
          <year>2025</year>
        </date>
        <date date-type="accepted">
          <day>27</day>
          <month>07</month>
          <year>2025</year>
        </date>
      </history>
      <volume>4</volume>
      <issue>7</issue>
      <fpage>1445</fpage>
      <lpage>1460</lpage>
      <abstract>
        <p>This study explores the role of Spiritual Quotient (SQ) in adopting Islamic e-wallets using the Technology Acceptance Model (TAM) approach. The data for this research were obtained from 130 Gen Z Muslim users of Islamic e-wallets in Central Java, Indonesia. The research data analysis employed Partial Least Squares Structural Equation Modeling (PLS-SEM). The findings of this study reveal that spiritual quotient and perceived benefit have a positive and significant influence on the intention to use Islamic e-wallets. However, perceived usefulness and perceived ease of use do not significantly affect the intention to use. Through this research, Islamic e-wallet service providers can further enhance system performance, effectiveness, and ease of use to build higher service credibility.</p>
      </abstract>
      <kwd-group>
        <kwd>Spiritual Quotient</kwd>
        <kwd>Technology Acceptance Model</kwd>
        <kwd>Perceived Ease of Use</kwd>
        <kwd>Perceived Usefulness</kwd>
        <kwd>Perceived Benefit</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>
  <disp-quote>
    <p>The digital era has significantly transformed societal lifestyles,
    fueled by advancements in information technology and digital-based
    services that provide convenience and practicality in daily
    activities. Payment systems have evolved to become digital, enabling
    cashless transactions through gadgets. The application of modern
    technology in financial services has been instrumental in facilitating
    online transactions for society (Rahma, 2018).</p>
    <p>According to Bank Indonesia, electronic money transactions in 2022
    reached a staggering IDR 399.6 trillion, growing by 30.84% compared to
    2021. Digital economic and financial transactions experienced
    substantial growth, and it is expected to continue increasing by
    23.9%, reaching IDR 495.2 trillion by 2023 (Antaranews, 2023). This
    surge is attributed to the rise in e-commerce transactions and
    society's increasing tendency to shop online.</p>
    <p>Bank Indonesia stated that 38 electronic wallets have officially
    been licensed. In 2018, e-wallet transactions in Indonesia totaled USD
    1.5 billion, projected to increase to USD 25 billion by 2023 (Ananda
    &amp; Nuriyah, 2023). This indicates a growing public interest in
    e-money and e-wallet systems. E-wallets offer benefits and
    convenience, such as comfort, speed, and security in online
    transactions, especially for Gen Z.</p>
    <p>The first Islamic e-wallet was officially launched in Indonesia in
    April 2020 with the release of the LinkAja Syariah application.
    LinkAja Syariah, pioneered by PT Fintek Karya Nusantara, became the
    first sharia-based digital wallet in Indonesia. It offers various
    types of payments while adhering to sharia principles and receiving a
    DSN MUI certification. DSN-MUI has granted this service sharia
    compliance certification by issuing Fatwa DSN MUI
    No.116/DSN-MUI/IX/2017 related to Islamic electronic money (Ananda
    &amp; Nuriyah, 2023).</p>
    <p>In 2022, the total of LinkAja Syariah users reached 6.6 million, a
    150% increase compared to the previous year. By 2023, the total of
    LinkAja Syariah users has increased to 8 million (Antaranews, 2023).
    The rise in the number of LinkAja Syariah users is supported by the
    role of Gen Z in digital economic activities. According to the BPS
    population survey, Indonesia's population reached 270.20 million, with
    the most significant proportion being Gen Z, which accounts for 75.49
    million or 27.94% (BPS, 2021). Gen Z is the first generation to grow
    up as digital natives, giving them strong digital financial
    literacy.</p>
    <p>One crucial factor influencing the adoption of Islamic e-wallet is
    the Spiritual Quotient (SQ). SQ is a form of intelligence that
    integrates two other forms: Intellectual Quotient (IQ) and Emotional
    Quotient (EQ). Rahim et al. (2020) explored the conceptual model of SQ
    in Islamic Fintech adoption behavior in Malaysia. However, this
    research was still in the conceptual model development phase and has
    not been empirically tested. Studies by Liling et al. (2013; Zamzami
    &amp; Djalali, 2012) demonstrated that SQ plays an important role in
    shaping individuals' attitudes and behaviors, such as procrastination
    and prosocial behavior. Based on these findings, SQ is predicted to
    influence the intention to use information technology, including
    Islamic e-wallets, thus potentially driving the growth of Islamic
    Fintech.</p>
    <p>Several previous studies on fintech and e-wallet adoption behaviors
    have employed the Technology Acceptance Model (TAM). TAM is considered
    a more accurate benchmark for assessing the acceptance of information
    technology (Davis, 1989). Singh et al. (2021) empirically tested 439
    FinTech users and found that Perceived Usefulness (PU) and Perceived
    Ease of Use (PEOU) significantly affect the intention to use FinTech.
    Consistent with these findings, a study by Tun-Pin et al. (2019)
    concluded that PEOU and PU significantly influence the use of Fintech
    in Malaysia. However, Hasyim et al. (2023) found different results,
    where PEOU did not affect the intention to use LinkAja Syariah in
    Surakarta.</p>
    <p>Hamzah Namungo, Mohammadtahir Cheumar (2023) showed that PU
    significantly and positively influences the intention to use FinTech
    for Islamic voluntary payments in Kampala, Uganda. In contrast,
    Nirmawan &amp; Astiwardhani (2021) found that perceived benefit did
    not influence the intention to use the Go-Pay payment service.</p>
    <p>Reviewing the previous research, there is still inconsistency
    regarding the factors influencing the intention to use FinTech and
    e-wallet. Earlier studies emphasized the significance of PEOU on
    intention to use (Singh et al., 2021). However, Nirmawan &amp;
    Astiwardhani (2021) found that perceived benefit did not influence the
    intention to use.</p>
    <p>Therefore, this study aims to fill this gap by integrating
    spiritual quotient and perceived benefit with the TAM model to examine
    the intention to use Islamic e-wallets among Gen Z Muslims in Central
    Java. The findings of this research are expected to enhance the TAM
    model and develop a more comprehensive Islamic e-wallet acceptance
    model.</p>
  </disp-quote>
</sec>





<sec>
  <title>THEORETICAL REVIEW</title>
  <sec id="technology-acceptance-model-tam">
    <title>Technology Acceptance Model (TAM)</title>
    <disp-quote>
      <p>The Technology Acceptance Model (TAM) is one of the most
      popular consumer behavior theories for accepting information
      technology, and it is widely used in various research studies.
      This theory draws on the Theory of Reasoned Action (Fishbein &amp;
      Ajzen, 1975, 2010) and the Theory of Planned Behavior (Ajzen,
      1985, 1991) as its foundational theories. However, Davis focused
      solely on the &quot;attitude&quot; component, excluding normative
      beliefs and subjective norms (Davis, 1985; 1989). In formulating
      TAM, Davis stated that perceived usefulness and ease of use
      predict intention, and subsequently, attitude and intention
      predict technology usage (Davis, 1989).</p>
      <p>TAM is the most persuasive and robust model for accepting
      information technology. Additionally, TAM is considered a
      parsimonious model, meaning it is simple, valid, easy to use, and
      better at explaining information technology acceptance (Rahmawaty
      et al., 2021). The TAM model has evolved into various other
      models, such as the Decomposed Theory of Planned Behavior (DTPB),
      which is a combination of the Innovation Diffusion Theory (IDT)
      and TPB (Mauro C. Hernandez &amp; Afonso Mazzon, 2007; Taylor
      &amp; Todd, 1995), Technology Acceptance Model 2 (TAM2), an
      extension of TAM with TRA</p>
      <p>(Venkatesh &amp; Davis, 2000), and the Unified Theory of
      Acceptance and Use of Technology (UTAUT) (Venkatesh et al.,
      2003).</p>
    </disp-quote>
    <graphic mimetype="image" mime-subtype="png" xlink:href="vertopal_ed68bc10b58642ee858f505d3782ed34/media/image3.png" />
    <disp-quote>
      <p>Figure 1. Technology Acceptance Model</p>
    </disp-quote>
  </sec>
  <sec id="spiritual-quotient-and-intention-to-use">
    <title>Spiritual Quotient and Intention to Use</title>
    <disp-quote>
      <p>Spiritual Quotient (SQ) is defined as an individual's
      intelligence in understanding the meaning and purpose of life,
      facing and solving problems related to meaning and values, and
      recognizing that one's path in life is more meaningful than others
      (Burrows, 2005; Zohar &amp; Marshall, 2000). Amram (2009) states
      that SQ is the ability to apply spiritual resources, values, and
      personal qualities to enhance happiness and integrate spiritual
      values into daily life. This intelligence also encompasses
      empathizing, adapting, and using intuition to make wise decisions.
      Rahmawaty et al. (2021) describe SQ as spiritual intelligence or
      wisdom intelligence. This form of intelligence is based on
      structures within the brain that provide us with the fundamental
      ability to create meaning, values, and purpose. Therefore,
      individuals must manage and optimize their wisdom values to
      achieve a meaningful life purpose.</p>
      <p>Developing spiritual intelligence has several significant
      benefits in a person’s life. SQ can help achieve better emotional
      balance, reduce stress, and increase happiness. Individuals with
      high spiritual intelligence are more capable of building
      harmonious social relationships because they possess empathy and
      concern for others. Additionally, SQ enhances individual
      creativity by fostering holistic thinking and understanding the
      relationships between various life elements, thus making it easier
      to solve problems in innovative and wise ways.</p>
      <p>Based on the discussion above, spiritual intelligence is
      fundamental in shaping a person's attitudes and behaviors. Rahim
      et al. (2020) explored the conceptualization of SQ in Islamic
      Fintech adoption behavior in Malaysia. However, this study has not
      yet undergone empirical testing and is still developing the
      conceptual model for Islamic Fintech adoption behavior. Studies by
      Liling et al. (2013; Zamzami &amp; Djalali, 2012) have proven that
      spiritual intelligence plays an important role in shaping
      individual attitudes and behaviors, such as procrastination and
      prosocial behavior. Therefore, spiritual</p>
      <p>quotients can also influence people's behavior using
      information technology, including Islamic e-wallets. Hence, the
      following hypothesis is proposed:</p>
      <p><bold>H1</bold>: Spiritual quotient is significantly related to
      the intention to use Islamic e- wallet.</p>
    </disp-quote>
  </sec>
  <sec id="perceived-ease-of-use-and-intention-to-use">
    <title>Perceived Ease of Use and Intention to Use</title>
    <disp-quote>
      <p>Perceived Ease of Use (PEOU) is &quot;the degree to which a
      person believes that using Islamic e-wallet services would be free
      of effort&quot; (Davis, 1989). Arpaci (2016) interprets ease of
      use as the individual's belief that using Islamic e-wallet
      services is easy. Ease of use is understood as the subjective
      belief of users that using an Islamic e-wallet service can provide
      ease, comfort, and security in conducting transactions.</p>
      <p>The intensity of use and the interaction between users and
      Islamic e- wallet services indicate ease of use. A frequently used
      service shows that the Islamic e-wallet service, such as LinkAja
      Syariah, is well known, easier to operate, and more user-friendly.
      Ease of use will affect user trust in accepting and utilizing the
      LinkAja Syariah Islamic e-wallet service.</p>
      <p>Studies by Singh et al. (2021; Tun-Pin et al., 2019) found that
      PEOU significantly affects the intention to use FinTech.
      Nurfadilah &amp; Samidi (2021) also demonstrated that the ease of
      using Islamic FinTech significantly influences the intention to
      use these services. Therefore, the easier an Islamic e- wallet
      service is, the higher the intention to use it. Based on this, the
      following hypothesis is proposed:</p>
      <p><bold>H2</bold>: Perceived ease of use is significantly related
      to the intention to use Islamic e-wallet.</p>
    </disp-quote>
  </sec>
  <sec id="perceived-usefulness-and-intention-to-use">
    <title>Perceived Usefulness and Intention to Use</title>
    <disp-quote>
      <p>Davis (1989) defines Perceived Usefulness (PU) as &quot;the
      degree to which a person believes that using a particular system
      would enhance his or her job performance.&quot; PU is a key
      element in the TAM model. The usefulness of the Islamic e-wallet
      service, specifically the LinkAja Syariah, refers to the benefits
      experienced by users, particularly those seeking Sharia-compliant
      digital financial transactions. Therefore, the PU of the LinkAja
      Syariah Islamic e-wallet is expected to encourage the intention to
      use the service.</p>
      <p>Studies by Singh et al. (2021; Tun-Pin et al., 2019) have shown
      that PU significantly influences the intention to use FinTech.
      Hamzah Namungo, Mohammadtahir Cheumar (2023) also found that PU
      significantly and positively affects the intention to use FinTech
      for Islamic voluntary payments in Kampala, Uganda. Similarly,
      research by Ananda &amp; Nuriyah (2023) revealed a significant
      relationship between PU and the intention to use the LinkAja
      Syariah e-wallet service. Therefore, the following hypothesis is
      proposed:</p>
      <p><bold>H3</bold>: Perceived usefulness is significantly related
      to the intention to use Islamic e-wallet.</p>
    </disp-quote>
  </sec>
  <sec id="perceived-benefit-and-intention-to-use">
    <title>Perceived Benefit and Intention to Use</title>
    <disp-quote>
      <p>Kim et al. (2008) define Perceived Benefit (PB) as &quot;a
      person's belief about the extent to which he or she will become
      better off from the online transaction with a certain
      e-wallet.&quot; Perceived benefit reflects an individual's belief
      in the potential advantages of using the Islamic e-wallet service,
      such as increased convenience, cost savings, time savings, and a
      wider variety of service options.</p>
      <p>Perceived usefulness and perceived benefit are two distinct but
      related concepts in the context of technology acceptance.
      Perceived usefulness refers to the belief that a system or
      technology will enhance performance. In contrast, perceived
      benefit encompasses a broader range of perceived advantages,
      including those not directly related to performance enhancement,
      such as usability, effectiveness, and other positive impacts on an
      individual's life.</p>
      <p>The perceived benefits of using the Islamic e-wallet service
      provide strong incentives for users to engage in digital financial
      transactions. Consequently, as users experience more benefits from
      using the service, the likelihood of continued use increases. Kim
      et al. (2008) study supports this logic, showing that perceived
      benefit significantly influences consumer purchase intentions in
      e-commerce. Additionally, research by Hanum et al. (2022) found
      that perceived benefits significantly impact the intention to use
      e- wallets in Medan. Therefore, the following hypothesis is
      proposed:</p>
      <p><bold>H4</bold>: Perceived benefit is significantly related to
      the intention to use an Islamic e- wallet.</p>
      <p>Based on the theoretical framework outlined above, the
      development of the Islamic e-wallet adoption model constructed in
      this study is as follows:</p>
    </disp-quote>
    <graphic mimetype="image" mime-subtype="png" xlink:href="vertopal_ed68bc10b58642ee858f505d3782ed34/media/image4.png" />
    <disp-quote>
      <p>Figure 2. The Conceptual Model of Intention to Use Islamic
      E-Wallet</p>
    </disp-quote>
  </sec>
</sec>







<sec>
  <title>METHODOLOGY</title>
  <disp-quote>
    <p>This study focuses on Gen Z Muslims in Central Java who adopted
    the Islamic e-wallet service, LinkAja Syariah. Given the relatively
    large population size, the researcher selected 14 districts in
    Central Java as the sample, totaling 130 respondents. This sample
    size meets the requirements for research using</p>
    <p>PLS-SEM, which requires at least five times the total of
    indicator variables (Ferdinand, 2014; Hair et al., 2020). The data
    for this study were analyzed using SmartPls 3 software with PLS-SEM
    techniques. The study includes five variables: spiritual quotient,
    perceived ease of use, perceived usefulness, perceived benefit, and
    intention to use. The research instrument was a questionnaire with
    variable measurements based on previous studies. A detailed outline
    of the questionnaire items is presented in the table below.</p>
  </disp-quote>
  <disp-quote>
    <p>Table 1. Questionnaire Items and References</p>
  </disp-quote>
  <table-wrap>
      <table>
          <label>Table 1. Questionnaire Items and References</label>
          <thead>
              <tr>
                  <th>No</th>
                  <th>Variables</th>
                  <th>Items</th>
                  <th>References</th>
              </tr>
          </thead>
          <tbody>
              <tr>
                  <td>1</td>
                  <td>Spiritual Quotient</td>
                  <td>9</td>
                  <td>Zohar &amp; Marshall, 2000; Rahmawaty et al., 2021</td>
              </tr>
              <tr>
                  <td>2</td>
                  <td>Perceived Ease of Use</td>
                  <td>4</td>
                  <td>Nurfadilah &amp; Samidi, 2021</td>
              </tr>
              <tr>
                  <td>3</td>
                  <td>Perceived Usefulness</td>
                  <td>5</td>
                  <td>Nurfadilah &amp; Samidi, 2021</td>
              </tr>
              <tr>
                  <td>4</td>
                  <td>Perceived Benefit</td>
                  <td>5</td>
                  <td>Kim et al., 2008</td>
              </tr>
              <tr>
                  <td>5</td>
                  <td>Intention to Use</td>
                  <td>3</td>
                  <td>Kim et al., 2008</td>
              </tr>
          </tbody>
      </table>
  </table-wrap>
</sec>





<sec>
  <title>RESEARCH RESULTS</title>
  <disp-quote>
    <p>The respondents of this study are Gen Z Muslims using the Islamic
    e- wallet service, LinkAja Syariah, in Central Java. A 26-item
    questionnaire was distributed to 130 respondents through a Google
    Forms link. The characteristics of the respondents are outlined in
    the following table:</p>
  </disp-quote>
  <disp-quote>
    <p>Table 2. Respondent Characteristics</p>
  </disp-quote>
  <table-wrap>
    <label>Table 2.Respondent Characteristics</label>
    <table>
      <thead>
        <tr>
          <th align="left">Characteristics</th>
          <th align="right">Total</th>
          <th align="right">Percentage</th>
        </tr>
      </thead>
      <tbody>
        <tr>
          <td colspan="3">Gender</td>
        </tr>
        <tr>
          <td align="left">• Male</td>
          <td align="right">90</td>
          <td align="right">69</td>
        </tr>
        <tr>
          <td align="left">• Female</td>
          <td align="right">40</td>
          <td align="right">31</td>
        </tr>
        <tr>
          <td align="left">Total</td>
          <td align="right">130</td>
          <td align="right">100</td>
        </tr>
        <tr>
          <td colspan="3">Age</td>
        </tr>
        <tr>
          <td align="left">• 12-16 Years</td>
          <td align="right">2</td>
          <td align="right">2</td>
        </tr>
        <tr>
          <td align="left">• 17-21 Years</td>
          <td align="right">70</td>
          <td align="right">54</td>
        </tr>
        <tr>
          <td align="left">• 22-27 Years</td>
          <td align="right">58</td>
          <td align="right">44</td>
        </tr>
        <tr>
          <td align="left">Total</td>
          <td align="right">130</td>
          <td align="right">100</td>
        </tr>
        <tr>
          <td colspan="3">Occupation</td>
        </tr>
        <tr>
          <td align="left">• Student</td>
          <td align="right">6</td>
          <td align="right">5</td>
        </tr>
        <tr>
          <td align="left">• University Student</td>
          <td align="right">95</td>
          <td align="right">73</td>
        </tr>
        <tr>
          <td align="left">• Private Employee</td>
          <td align="right">12</td>
          <td align="right">9</td>
        </tr>
        <tr>
          <td align="left">• Entrepreneur</td>
          <td align="right">17</td>
          <td align="right">13</td>
        </tr>
        <tr>
          <td align="left">Total</td>
          <td align="right">130</td>
          <td align="right">100</td>
        </tr>
        <tr>
          <td colspan="3">Length of Use</td>
        </tr>
        <tr>
          <td align="left">• 1-2 years</td>
          <td align="right">60</td>
          <td align="right">46</td>
        </tr>
        <tr>
          <td align="left">• 3-4 years</td>
          <td align="right">50</td>
          <td align="right">39</td>
        </tr>
        <tr>
          <td align="left">• 5-6 years</td>
          <td align="right">20</td>
          <td align="right">15</td>
        </tr>
        <tr>
          <td align="left">Total</td>
          <td align="right">130</td>
          <td align="right">100</td>
        </tr>
      </tbody>
    </table>
  </table-wrap>
    <sec id="measurement-model-evaluation-outer-model">
      <title>Measurement Model Evaluation (Outer Model)</title>
      <disp-quote>
        <p>The measurement model was conducted to assess the validity
        and reliability of the study variables. Validity tests can be
        assessed by examining the convergent validity through loading
        factors, discriminant validity through cross-loading factors,
        and the Average Variance Extracted (AVE). The AVE value must
        exceed 0.5 (Fornell &amp; Larcker, 1981). Reliability tests can
        be assessed using the composite reliability and Cronbach's alpha
        values (Chin, 1998; Imam Ghozali, 2014).</p>
        <p>The validity test results, as shown in the table below,
        demonstrate that the loading factors for each indicator in the
        research variables yielded item values greater than 0.70 and AVE
        values greater than 0.50. In this study, the AVE values are
        greater than 0.60. Based on the PLS-SEM output, the indicators
        used in this study have good convergent validity and
        discriminant validity in constructing their respective
        variables.</p>
        <p>The reliability test results indicate that the composite
        reliability and Cronbach's alpha values are greater than 0.70.
        The PLS-SEM output informs that each latent variable meets the
        criteria of composite reliability and Cronbach’s alpha &gt;0.70,
        indicating that all latent variables possess high
        reliability.</p>
        <p>The evaluation of the measurement model in the PLS-SEM test
        assesses the validity and reliability of each research variable.
        The validity and reliability test results can be summarized as
        follows:</p>
      </disp-quote>
      <disp-quote>
        <p>Table 3. Validity and Reliability Tests</p>
      </disp-quote>
      <table-wrap>
        <label>Table 3. Validity and Reliability Tests</label>
        <table>
          <thead>
            <tr>
              <th align="left" rowspan="2">Variable</th>
              <th align="center" rowspan="2">Loading Factor</th>
              <th align="center" rowspan="2">AVE &gt;0.50</th>
              <th align="center" colspan="2">Composite Reliability</th>
            </tr>
            <tr>
              <th align="center">Composite Reliability &gt;0.70</th>
              <th align="center">Cronbach’s Alpha &gt;0.70</th>
            </tr>
          </thead>
          <tbody>
            <tr>
              <td align="left">Spiritual Quotient</td>
              <td align="center"></td>
              <td align="center">0.611</td>
              <td align="center">0.934</td>
              <td align="center">0.92</td>
            </tr>
            <tr>
              <td align="left">X1.1</td>
              <td align="center">0.718</td>
              <td align="center"></td>
              <td align="center"></td>
              <td align="center"></td>
            </tr>
            <tr>
              <td align="left">X1.2</td>
              <td align="center">0.880</td>
              <td align="center"></td>
              <td align="center"></td>
              <td align="center"></td>
            </tr>
            <tr>
              <td align="left">X1.3</td>
              <td align="center">0.875</td>
              <td align="center"></td>
              <td align="center"></td>
              <td align="center"></td>
            </tr>
            <tr>
              <td align="left">X1.4</td>
              <td align="center">0.733</td>
              <td align="center"></td>
              <td align="center"></td>
              <td align="center"></td>
            </tr>
            <tr>
              <td align="left">X1.5</td>
              <td align="center">0.726</td>
              <td align="center"></td>
              <td align="center"></td>
              <td align="center"></td>
            </tr>
            <tr>
              <td align="left">X1.6</td>
              <td align="center">0.780</td>
              <td align="center"></td>
              <td align="center"></td>
              <td align="center"></td>
            </tr>
            <tr>
              <td align="left">X1.7</td>
              <td align="center">0.736</td>
              <td align="center"></td>
              <td align="center"></td>
              <td align="center"></td>
            </tr>
            <tr>
              <td align="left">X1.8</td>
              <td align="center">0.736</td>
              <td align="center"></td>
              <td align="center"></td>
              <td align="center"></td>
            </tr>
            <tr>
              <td align="left">X1.9</td>
              <td align="center">0.772</td>
              <td align="center"></td>
              <td align="center"></td>
              <td align="center"></td>
            </tr>
            <tr>
              <td align="left">Perceived Ease of Use</td>
              <td align="center"></td>
              <td align="center">0.781</td>
              <td align="center">0.934</td>
              <td align="center">0.906</td>
            </tr>
            <tr>
              <td align="left">X2.1</td>
              <td align="center">0.850</td>
              <td align="center"></td>
              <td align="center"></td>
              <td align="center"></td>
            </tr>
            <tr>
              <td align="left">X2.2</td>
              <td align="center">0.903</td>
              <td align="center"></td>
              <td align="center"></td>
              <td align="center"></td>
            </tr>
            <tr>
              <td align="left">X2.3</td>
              <td align="center">0.886</td>
              <td align="center"></td>
              <td align="center"></td>
              <td align="center"></td>
            </tr>
            <tr>
              <td align="left">X2.4</td>
              <td align="center">0.894</td>
              <td align="center"></td>
              <td align="center"></td>
              <td align="center"></td>
            </tr>
            <tr>
              <td align="left">Perceived Usefulness</td>
              <td align="center"></td>
              <td align="center">0.782</td>
              <td align="center">0.947</td>
              <td align="center">0.93</td>
            </tr>
            <tr>
              <td align="left">X3.1</td>
              <td align="center">0.866</td>
              <td align="center"></td>
              <td align="center"></td>
              <td align="center"></td>
            </tr>
            <tr>
              <td align="left">X3.2</td>
              <td align="center">0.917</td>
              <td align="center"></td>
              <td align="center"></td>
              <td align="center"></td>
            </tr>
            <tr>
              <td align="left">X3.3</td>
              <td align="center">0.886</td>
              <td align="center"></td>
              <td align="center"></td>
              <td align="center"></td>
            </tr>
            <tr>
              <td align="left">X3.4</td>
              <td align="center">0.898</td>
              <td align="center"></td>
              <td align="center"></td>
              <td align="center"></td>
            </tr>
            <tr>
              <td align="left">X3.5</td>
              <td align="center">0.853</td>
              <td align="center"></td>
              <td align="center"></td>
              <td align="center"></td>
            </tr>
            <tr>
              <td align="left">Perceived Benefit</td>
              <td align="center"></td>
              <td align="center">0.653</td>
              <td align="center">0.904</td>
              <td align="center">0.868</td>
            </tr>
            <tr>
              <td align="left">X4.1</td>
              <td align="center">0.830</td>
              <td align="center"></td>
              <td align="center"></td>
              <td align="center"></td>
            </tr>
            <tr>
              <td align="left">X4.2</td>
              <td align="center">0.839</td>
              <td align="center"></td>
              <td align="center"></td>
              <td align="center"></td>
            </tr>
            <tr>
              <td align="left">X4.3</td>
              <td align="center">0.785</td>
              <td align="center"></td>
              <td align="center"></td>
              <td align="center"></td>
            </tr>
            <tr>
              <td align="left">X4.4</td>
              <td align="center">0.776</td>
              <td align="center"></td>
              <td align="center"></td>
              <td align="center"></td>
            </tr>
            <tr>
              <td align="left">X4.5</td>
              <td align="center">0.810</td>
              <td align="center"></td>
              <td align="center"></td>
              <td align="center"></td>
            </tr>
            <tr>
              <td align="left">Intention to Use</td>
              <td align="center"></td>
              <td align="center">0.762</td>
              <td align="center">0.906</td>
              <td align="center">0.844</td>
            </tr>
            <tr>
              <td align="left">Y1</td>
              <td align="center">0.893</td>
              <td align="center"></td>
              <td align="center"></td>
              <td align="center"></td>
            </tr>
            <tr>
              <td align="left">Y2</td>
              <td align="center">0.873</td>
              <td align="center"></td>
              <td align="center"></td>
              <td align="center"></td>
            </tr>
            <tr>
              <td align="left">Y3</td>
              <td align="center">0.852</td>
              <td align="center"></td>
              <td align="center"></td>
              <td align="center"></td>
            </tr>
          </tbody>
        </table>
      </table-wrap>
    </sec>
    <sec id="structural-model-evaluation-inner-model">
      <title>Structural Model Evaluation (Inner Model)</title>
      <disp-quote>
        <p>The R-squared values of the dependent latent variables are
        used to evaluate the inner model using PLS-SEM. This criterion
        measures the strength of the relationship between two or more
        variables. The higher the R-Square coefficient, the stronger the
        relationship between the variables. An R-squared value of 0.67
        is considered indicative of a &quot;good&quot; model, a value of
        0.33 is considered a &quot;moderate&quot; model, and a value of
        0.19 is considered a &quot;weak&quot; model (Chin, 1998; Imam
        Ghozali, 2014). The results of the inner model test show the
        R-Square value as detailed in the table below:</p>
      </disp-quote>
      <disp-quote>
        <p>Table 4. R-Square</p>
      </disp-quote>
      <table-wrap>
        <label>Table 4. R-Square</label>
        <table>
          <thead>
            <tr>
              <th align="left">Variable</th>
              <th align="center">R-Square</th>
              <th align="center">R-Square Adjusment</th>
            </tr>
          </thead>
          <tbody>
            <tr>
              <td align="left">Intention to use</td>
              <td align="center">0.638</td>
              <td align="center">0.675</td>
            </tr>
          </tbody>
        </table>
      </table-wrap>
    <disp-quote>
      <p>Based on the PLS-SEM output, an R-squared value of 0.638 was
      obtained, which indicates that the structural model is
      &quot;moderate.&quot; This means that the intention to use the
      Islamic e-wallet is influenced by the four latent variables (SQ,
      PEOU, PU, and PB) by 63%, with the remaining variance being
      explained by other variables not hypothesized in this structural
      model.</p>
    </disp-quote>
  </sec>
    <sec id="hypothesis-testing-results">
      <title>Hypothesis Testing Results</title>
      <disp-quote>
        <p>The inner model was analyzed using SmartPLS version 3.0
        through bootstrapping and evaluating the t-statistics and
        p-values. A research hypothesis is accepted if the p-value is
        &lt; 0.05 and the t-statistic is &gt; 1.96 with a 5%
        significance level. The results of the inner model test are
        shown in the following PLS-SEM output:</p>
      </disp-quote>
      <graphic mimetype="image" mime-subtype="png" xlink:href="vertopal_ed68bc10b58642ee858f505d3782ed34/media/image5.png" />
      <p>Figure 3. Diagram of Path Coefficient and Hypothesis Test Table 5. T-Statistik and P-Values</p>
    <disp-quote>
      <p>Table 5. T-Statistik and P-Values</p>
    </disp-quote>
    <table-wrap>
      <label>Table 5. T-Statistik and P-Values</label>
      <table>
        <thead>
          <tr>
            <th align="left">Variable</th>
            <th align="center">Original Sample (O)</th>
            <th align="center">Sample Mean (M)</th>
            <th align="center">Standard Deviation (STDEV)</th>
            <th align="center">T Statistics (|O/STDEV|)</th>
            <th align="center">P Values</th>
          </tr>
        </thead>
        <tbody>
          <tr>
            <td align="left">SQ -&gt; IU</td>
            <td align="center">0.395</td>
            <td align="center">0.397</td>
            <td align="center">0.115</td>
            <td align="center">3.430</td>
            <td align="center">0.001</td>
          </tr>
          <tr>
            <td align="left">PEOU -&gt; IU</td>
            <td align="center">0.204</td>
            <td align="center">0.189</td>
            <td align="center">0.122</td>
            <td align="center">1.675</td>
            <td align="center">0.095</td>
          </tr>
          <tr>
            <td align="left">PU -&gt; IU</td>
            <td align="center">-0.024</td>
            <td align="center">-0.018</td>
            <td align="center">0.092</td>
            <td align="center">0.265</td>
            <td align="center">0.791</td>
          </tr>
          <tr>
            <td align="left">PB -&gt; IU</td>
            <td align="center">0.296</td>
            <td align="center">0.303</td>
            <td align="center">0.108</td>
            <td align="center">2.733</td>
            <td align="center">0.006</td>
          </tr>
        </tbody>
      </table>
    </table-wrap>
    <disp-quote>
      <p>The output values for the mean, standard deviation (STDEV),
      t-values, and p-values above show the results of the hypothesis
      tests in this study. Based on the output of the hypothesis
      testing, it can be concluded that two of the hypotheses are
      accepted, and two hypotheses are rejected, as explained in the
      conclusion of the hypothesis testing below:</p>
    </disp-quote>
    <disp-quote>
      <p>Table 6. Hypothesis Testing</p>
    </disp-quote>
    <table-wrap>
      <label>Table 6. Hypothesis Testing</label>
      <table>
        <thead>
          <tr>
            <th align="left">Hypothesis</th>
            <th align="left">Path</th>
            <th align="center">T-Statistic</th>
            <th align="center">P-Values</th>
            <th align="left">Decisions</th>
          </tr>
        </thead>
        <tbody>
          <tr>
            <td align="left">H1</td>
            <td align="left">SQ -&gt; IU</td>
            <td align="center">3.430</td>
            <td align="center">0.001*</td>
            <td align="left">Accepted</td>
          </tr>
          <tr>
            <td align="left">H2</td>
            <td align="left">PEOU -&gt; IU</td>
            <td align="center">1.675</td>
            <td align="center">0.095</td>
            <td align="left">Rejected</td>
          </tr>
          <tr>
            <td align="left">H3</td>
            <td align="left">PU -&gt; IU</td>
            <td align="center">0.265</td>
            <td align="center">0.791</td>
            <td align="left">Rejected</td>
          </tr>
          <tr>
            <td align="left">H4</td>
            <td align="left">PB -&gt; IU</td>
            <td align="center">2.733</td>
            <td align="center">0.006*</td>
            <td align="left">Accepted</td>
          </tr>
        </tbody>
      </table>
    </table-wrap>
    <disp-quote>
      <p>The PLS-SEM output shows that spiritual quotient and perceived
      benefit significantly influence the intention to use the Islamic
      e-wallet. However, PEOU and PU do not significantly impact the
      intention to use the Islamic e-wallet.</p>
    </disp-quote>
  </sec>
</sec>






<sec>
  <title>DISCUSSION</title>
  <disp-quote>
    <p>The results of the first hypothesis test on the spiritual
    quotient and its effect on the intention to use revealed a
    t-statistics value of 3.430 and a p-value of 0.001. These results
    indicate that the t-statistics value of 3.430 is greater than the
    t-table value of 1.96, and the p-value of 0.001 is less than 0.05.
    Thus, the alternative hypothesis is accepted, and it can be
    concluded that the spiritual quotient significantly impacts the
    intention to use the Islamic e-wallet.</p>
    <p>The findings of this study reinforce and support the theoretical
    model constructed in this research regarding the influence of
    spiritual quotient on information technology acceptance behavior.
    This research contributes to developing a new model for information
    technology acceptance behavior, particularly by integrating the
    spiritual quotient with the TAM model, creating a more comprehensive
    approach. The results conclusively demonstrate that spiritual
    quotient significantly influences the intention to use Islamic
    e-wallets. This implies that as an individual's spiritual
    intelligence increases, so does their intention to use Islamic
    e-wallet services.</p>
    <p>The introduction of Islamic e-wallet represents an innovative
    breakthrough in Sharia-compliant digital wallets, offering various
    payment options that adhere to Islamic principles. Islamic e-wallets
    present significant potential benefits, driven by the growing global
    Muslim population and the increased demand for financial inclusion,
    particularly within the Gen Z demographic. Gen Z, as digital
    natives, has the potential to drive significant change in promoting
    Sharia-compliant financial inclusion. This generation is
    technologically literate, making them highly accessible through
    various digital platforms. Furthermore, they tend to have a
    heightened awareness of religious values and ethics, which could
    motivate their interest in Islamic finance, including Islamic
    e-wallets.</p>
    <p>The results of this study align with previous research exploring
    the conceptual model of spiritual quotient in the adoption of
    Islamic Fintech in Malaysia (Rahim et al., 2020). Studies by Liling
    et al. (2013; Zamzami &amp; Djalali, 2012) also demonstrated that
    spiritual intelligence plays a crucial role in shaping individual
    attitudes and behaviors, such as procrastination and prosocial
    behavior. Therefore, the spiritual quotient is vital in driving the
    intention to use information technology, including Islamic
    e-wallets.</p>
    <p>The high level of spiritual intelligence among Gen Z Muslims in
    Central Java regarding adopting Islamic e-wallet services is an
    important factor for service providers to consider. Generally, Gen Z
    Muslims have a strong belief in religious teachings, viewing
    religiosity as an essential part of their identity. This belief
    fosters awareness and willingness among Gen Z Muslims to adopt
    Sharia-compliant digital financial services, including Islamic
    e-wallets.</p>
    <p>The second hypothesis, testing the effect of PEOU on the
    intention to use, yielded a t-statistics value of 1.675 and a
    p-value of 0.095. This result shows that the t-statistics value of
    1.675 is less than the t-table value of 1.96, and the p-value of
    0.095 is greater than 0.05. Therefore, the alternative hypothesis is
    rejected, and it can be concluded that perceived ease of use does
    not influence the intention to use the Islamic e-wallet.</p>
    <p>These findings confirm that PEOU does not influence the intention
    to use the Islamic e-wallet. This contradicts the TAM model (Davis,
    1985; 1989). However, this result is supported by a study by Hasyim
    et al. (2023), which found that PEOU did not affect the intention to
    use LinkAja Syariah in Surakarta. Similarly, Ernawati &amp;
    Noersanti (2020) found that perceived ease of use did not influence
    the intention to use the OVO app in North Jakarta. The lack of
    support for this hypothesis may be attributed to the dominance of
    respondents aged 17-21 who have not yet prioritized using Islamic
    e-wallet services due to their limited financial independence at
    this stage. Additionally, users may not be thoroughly familiar with
    Islamic e-wallet services, making the payment system appear
    complicated and difficult to learn, contrary to users'
    expectations.</p>
    <p>The third hypothesis, testing the effect of PU on the intention
    to use, resulted in a t-statistics value of 0.265 and a p-value of
    0.791. These results indicate that the t-statistics value of 0.265
    is less than the t-table value of 1.96, and the p-value of 0.791 is
    greater than 0.05. Therefore, the alternative hypothesis is
    rejected, and it can be concluded that PU does not influence the
    intention to use the Islamic e-wallet.</p>
    <p>In this study, perceived usefulness did not significantly impact
    the intention to use the LinkAja Syariah Islamic e-wallet service.
    This finding aligns with Ernawati &amp; Noersanti (2020), who
    discovered that perceived usefulness did not affect the intention to
    use the OVO app in North Jakarta. According to the TAM model,
    perceived usefulness measures the belief that technology will
    benefit its users. However, this does not align with the current
    study's findings. If the Islamic e-wallet service could enhance the
    performance of its users, they would be more likely to use it
    consistently for transactions and digital financial management. To
    increase user enthusiasm for using the Islamic e-wallet service, it
    is recommended that service providers focus more on promoting the
    Islamic e-wallet, emphasizing the sophistication of the application
    and the various features that offer distinct advantages.</p>
    <p>The fourth hypothesis, testing the effect of perceived benefit on
    the intention to use, showed a t-statistics value of 2.733 and a
    p-value of 0.006. These results indicate that the t-statistics value
    of 2.733 is greater than the t- table value of 1.96, and the p-value
    of 0.006 is less than 0.05. Therefore, the</p>
    <p>alternative hypothesis is accepted, and it can be concluded that
    perceived benefit significantly influences the intention to use the
    Islamic e-wallet.</p>
    <p>These findings support Kim et al. (2008) study, which found that
    perceived benefit significantly affects consumers' purchase
    intentions in e- commerce. Similarly, the study by Hanum et al.
    (2022) demonstrated that perceived benefit significantly and
    positively impacts the intention to use e- wallets in Medan. This
    indicates that as users perceive more benefits from using the
    Islamic e-wallet, their intention to use it increases.</p>
    <p>The Islamic e-wallet link Syariah offers several benefits and
    innovative financial services that align with Sharia principles,
    such as digital payments, fund transfers, investments, and
    financing. These offerings are attractive to Gen Z Muslims.
    Additionally, the Islamic e-wallet provides special features that
    support halal transactions online. Through this digital wallet,
    users can easily make payments on e-commerce platforms supporting
    halal products and contribute to social funds like Zakat and charity
    quickly and securely. The benefits and features of the Islamic
    e-wallet link Syariah present a significant draw for Gen Z
    Muslims.</p>
  </disp-quote>
</sec>





<sec>
  <title>CONCLUSIONS AND RECOMMENDATIONS</title>
  <disp-quote>
    <p>This study investigated the role of Spiritual Quotient (SQ) in
    adopting Islamic e-wallet using the TAM model approach. The findings
    provide empirical evidence that SQ significantly influences Gen Z
    Muslims' intention to adopt Islamic e-wallets. Perceived benefits
    also significantly affected the intention to use the Islamic
    e-wallet. However, PEOU and PU were found to have no impact on the
    intention to use the Islamic e-wallet. These results contribute to
    the body of knowledge by developing a more comprehensive integration
    of spiritual quotient within the TAM model.</p>
    <p>The Islamic e-wallet represents an innovative digital wallet that
    combines modern technology with Sharia principles. Its introduction
    has become a key alternative for enhancing Sharia financial
    inclusion, particularly among Gen Z Muslims. As the demand for
    easily accessible financial services that comply with Sharia
    principles increases, the Islamic e-wallet, such as LinkAja Syariah,
    becomes a pioneer in connecting users to practical financial
    services that are in line with Islamic principles.</p>
    <p>This research offers practical implications for Islamic e-wallet
    service providers. The findings serve as a reference for
    practitioners in formulating strategies that prioritize factors that
    enhance user interest in adopting Islamic e- wallets. Although PEOU
    and PU were found to have no significant effect on the intention to
    use the Islamic e-wallet, service providers should still focus on
    improving the ease of use and benefits of the service by offering
    new, credible, transparent, user-friendly features that support a
    halal lifestyle.</p>
  </disp-quote>
</sec>




<sec>
  <title>ADVANCED RESEARCH</title>
  <disp-quote>
    <p>While this study provides significant contributions, it also has
    several limitations. First, the sample size was limited to Gen Z
    Muslims in Central Java. Therefore, the findings may not be
    generalizable to other Islamic e-wallet users</p>
    <p>outside this region. Larger cities may exhibit different cultural
    characteristics and business environments. Future studies are
    recommended to expand the research by including a broader sample
    from other provinces in Indonesia. Second, this study employed the
    TAM model as the underlying theory. Future research could integrate
    the spiritual quotient with other foundational technology acceptance
    theories, such as Social Cognitive Theory (SCT), Task- Technology
    Fit Theory (TFT), or the Unified Theory of Acceptance and Use of
    Technology (UTAUT), for a more advanced model.</p>
  </disp-quote>
</sec>








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