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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.v4i3.14968</article-id>
      <title-group>
        <article-title>Understanding the Drivers of Investment Intention: A Systematic Literature Review</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author" corresp="yes">
          <name>
            <surname>Alfathya</surname>
            <given-names>Atmaya Fitra</given-names>
          </name>
          <aff>Faculty of Economics and Business, Universitas Brawijaya, Malang, Indonesia</aff>
          <email>atmayafitra@student.ub.ac.id</email>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Sumiati</surname>
          </name>
          <aff>Faculty of Economics and Business, Universitas Brawijaya, Malang, Indonesia</aff>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Indrawati</surname>
            <given-names>Nur Khusniyah</given-names>
          </name>
          <aff>Faculty of Economics and Business, Universitas Brawijaya, Malang, Indonesia</aff>
        </contrib>
      </contrib-group>
      <pub-date pub-type="epub">
        <day>26</day>
        <month>07</month>
        <year>2025</year>
      </pub-date>
      <history>
        <date date-type="received">
          <day>08</day>
          <month>06</month>
          <year>2025</year>
        </date>
        <date date-type="rev-recd">
          <day>24</day>
          <month>06</month>
          <year>2025</year>
        </date>
        <date date-type="accepted">
          <day>26</day>
          <month>07</month>
          <year>2025</year>
        </date>
      </history>
      <volume>4</volume>
      <issue>3</issue>
      <fpage>1151</fpage>
      <lpage>1170</lpage>
      <abstract>
        <p>The increasing accessibility of financial markets has created more opportunities for individuals to invest, yet participation rates remain low in certain regions. This study examines key factors influencing investment intentions through a systematic literature review guided by the PRISMA framework, analyzing 44 articles. The findings classify investment intention determinants into five categories: personal, psychological, company-related, social, and technological. Financial literacy, the TPB’s component, and perceived risk are the most frequently discussed and significantly impact investment intention. Additionally, social media and influencers play a crucial role in enhancing financial awareness and information dissemination, thereby encouraging individual investment intentions. The growing interest in sustainable investment also opens new opportunities for individual investments. These results have significant implications for the development of investment intention literature and offer practical guidance to policymakers and financial institutions in formulating strategies that enhance individual investment intentions.</p>
      </abstract>
      <kwd-group>
        <kwd>Investment Intention</kwd>
        <kwd>Systematic Literature Review</kwd>
        <kwd>Financial Literacy</kwd>
        <kwd>Theory of Planned Behavior</kwd>
        <kwd>Social Media</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>Investment has garnered significant attention from people. One of
    the primary reasons for this is that individuals invest to achieve
    future returns (Hassan et al., 2023). Financial instruments provide
    relatively higher returns, encouraging many individuals to shift
    from real assets to financial instruments such as stocks, mutual
    funds, bonds, and cryptocurrencies (Bhatia et al., 2021). Although
    investing in the capital market is appealing, stock market investors
    remain low in certain countries, with Indonesia at 1.5%, the
    Philippines at 1.1%, and Vietnam at 2.2% (CNBC Indonesia, 2022).
    This situation is particularly concerning, considering the quick
    growth of digital financial platforms that have made accessing
    investment instruments easier and more affordable for people.
    Ideally, this progress should lead to increased participation in the
    capital market. However, the disparity between accessibility and
    actual investment participation raises questions about the key
    factors influencing individuals' intentions to invest.</p>
    <p>Previous research has investigated the drivers of investment
    intention, such as financial literacy (Akhtar &amp; Das, 2019; Anisa
    &amp; Kholid, 2022; Farish &amp; Karim, 2021; Gupta et al., 2021;
    Handranata et al., 2023; Lim et al., 2020; Lim &amp; Qi, 2023; Raut
    et al., 2021; Shehata et al., 2021; Sukarno et al., 2024; Widagdo
    &amp; Kenny, 2022; Zhang &amp; Huang, 2024); risk perception
    (Adhiyogo et al., 2022; Geetha et al., 2023; Kurniawan, 2021; Lim et
    al., 2020; Misra et al., 2021); personality trait (Aren &amp;
    Hamamci, 2020; Puspawati et al., 2024; Widagdo &amp; Kenny, 2022);
    dimensions of the Theory of Planned Behavior (Addury et al., 2020;
    Anisa &amp; Kholid, 2022; Bin-Nashwan et al., 2022; Dewi &amp;
    Tamara, 2020; Farish &amp; Karim, 2021; Hemdan &amp; Zhang, 2024;
    Lai, 2019; Marwan et al., 2024; Misra et al., 2021; Pick-Soon et
    al., 2024; Raut et al., 2021; Thanki et al., 2024; Zhang &amp;
    Huang, 2024); and social influence (Gupta et al., 2021; Hasan et
    al., 2024; Ji-Xi et al., 2021; Lim et al., 2020; Natsir &amp;
    Arifin, 2021). However, several studies have revealed conflicting
    findings. Akhtar &amp; Das (2019); Lim &amp; Qi (2023); Raut et al.,
    (2021); and Shehata et al., (2021) found that financial literacy
    exerts a significant effect on investment intention, in contrast to
    Addury et al., (2020); Misra et al., (2021). Other studies have
    shown that investment intention is significantly impacted by risk
    perception (Adhiyogo et al., 2022; Geetha et al., 2023; Lim et al.,
    2020), but in opposition to this, Hasan et al., (2024); Ji-Xi et
    al., (2021) showed that investment intention is not significantly
    affected by risk perception. These contradictory findings indicate a
    research gap, emphasizing the necessity for further investigation
    into the fundamental drivers of investment intention.</p>
    <p>Beyond the inconsistencies in findings, previous studies also
    tend to be fragmented. Several previous studies have tested
    specifically on the stock instrument (Ahuja &amp; Grover, 2023;
    Akhtar &amp; Das, 2019; Kumar et al., 2024; Lai, 2019; Natsir &amp;
    Arifin, 2021; Shehata et al., 2021; Yoopetch &amp; Chaithanapat,
    2021); mutual funds (Thanki et al., 2024); bonds (Adhiyogo et al.,
    2022; Dewi &amp; Tamara, 2020; Geetha et al., 2023; Matha et al.,
    2022). Additionally, in terms of principles, prior research focuses
    on examining conventional and Islamic investments (Addury et al.,
    2020; Bin-Nashwan et al., 2022; Farish &amp; Karim, 2021; Khan et
    al., 2020; Marwan et al., 2024). This research gap highlights the
    urgency of a more</p>
    <p>inclusive discussion that examines investment intention from
    multiple influencing factors, financial instruments, and investment
    principles.</p>
    <p>A systematic literature review is used in this research to
    comprehensively synthesize and evaluate previous studies to address
    those research gaps. Considering the inconsistencies and
    fragmentation in prior studies, developing a more holistic
    understanding of the fundamental factors influencing investment
    intention is crucial. This SLR research also offers a novelty by
    examining various factors that affect investment intention,
    including the influencer and technological factors that are popular
    in this digital era. Furthermore, this study expands the discussion
    on investment instruments by incorporating cryptocurrency assets
    that are currently rising. Moreover, this SLR also examines
    investment intentions with sustainability principles to gain broader
    information. This research is structured in several main parts.
    Section 2 provides the research method. Section 3 contains the
    results and discussion of the research findings. Finally, section 4
    presents conclusions, contributions, limitations, and</p>
    <p>suggestions.</p>
  </disp-quote>
</sec>












<sec>
  <title>LITERATURE REVIEW</title>
  <sec id="investment-intention">
    <title>Investment Intention</title>
    <disp-quote>
      <p>Investment intention refers to an individual's intention to
      invest in a particular instrument within a specific timeframe
      (Ajzen, 1991; Lai, 2019). Intention is an important variable
      because, according to the Theory of Planned Behavior (TPB),
      intention is a key predictor of actual behavior. In the context of
      investment, intention reflects an individual's mental readiness to
      allocate funds to a financial instrument, which is influenced by a
      number of psychological, social, and rational factors.</p>
    </disp-quote>
  </sec>
  <sec id="theory-of-planned-behavior-tpb">
    <title>Theory of Planned Behavior (TPB)</title>
    <disp-quote>
      <p>Many previous studies have used the TPB as a conceptual
      framework to analyze investment intention (Ajzen, 1991; Addury et
      al., 2020; Anisa &amp; Kholid, 2022; Farish &amp; Karim, 2021).
      The TPB states that intention is determined by three main
      components: attitude (attitude toward behavior), subjective norms
      (social influence), and perceived behavioral control (perceived
      control over behavior). Several studies have found that these TPB
      components significantly influence investment intentions (Marwan
      et al., 2024; Hemdan &amp; Zhang, 2024), although others have
      shown insignificant results (Misra et al., 2021).</p>
    </disp-quote>
  </sec>
  <sec id="financial-literacy">
    <title>Financial Literacy</title>
    <disp-quote>
      <p>Financial literacy is the understanding and ability to manage
      finances effectively, including the ability to make wise
      investment decisions (Lusardi &amp; Mitchell, 2014). Studies such
      as Akhtar &amp; Das (2019), Raut et al. (2021), and Zhang &amp;
      Huang (2024) show a strong positive relationship between financial
      literacy and investment intentions. However, several other
      studies, such as Addury et al. (2020), did not find a significant
      effect, indicating that there are still differences in the results
      that need to be synthesized.</p>
    </disp-quote>
  </sec>
  <sec id="risk-perception">
    <title>Risk Perception</title>
    <disp-quote>
      <p>Risk perception is an individual's subjective evaluation of the
      potential loss in an investment decision (Weber &amp; Milliman,
      1997). Several studies have shown that the higher the perceived
      risk, the lower the intention to invest (Lim et al., 2020;
      Adhiyogo et al., 2022). However, findings from Ji-Xi et al. (2021)
      and Hasan et al. (2024) indicate that risk perception does not
      always influence intention, depending on the social and cultural
      context.</p>
    </disp-quote>
  </sec>
  <sec id="social-influence">
    <title>Social Influence</title>
    <disp-quote>
      <p>Social influence encompasses the role of friends, family,
      community leaders, and public figures (influencers) in shaping a
      person's investment intentions. Research by Gupta et al. (2021),
      Lim et al. (2020), and Natsir &amp; Arifin (2021) emphasizes the
      importance of subjective norms in financial decision- making. In
      the digital era, social influence is increasingly potent through
      social media, which has been shown to increase financial awareness
      and investment interest (Hasan et al., 2024).</p>
    </disp-quote>
  </sec>
  <sec id="personality-traits-and-psychological-factors">
    <title>Personality Traits and Psychological Factors</title>
    <disp-quote>
      <p>Personality characteristics such as locus of control,
      self-efficacy, and risk tolerance also play a role in shaping
      investment intentions. Aren &amp; Hamamci (2020) and Puspawati et
      al. (2024) show that individuals who believe in their own
      abilities and have a higher risk tolerance tend to have stronger
      investment intentions.</p>
    </disp-quote>
  </sec>
  <sec id="technology-and-digital-platforms">
    <title>Technology and Digital Platforms</title>
    <disp-quote>
      <p>The development of financial technology (fintech) and digital
      platforms has contributed to increased investment intentions. Easy
      access through investment applications and digital-based education
      makes it easier for novice investors. Recent research also shows
      the positive role of social media and finfluencers in shaping
      investment perceptions and decisions (Hemdan &amp; Zhang,
      2024).</p>
      <p>8. Sustainable and Ethical Investment</p>
      <p>Sustainability issues and Sharia principles are also beginning
      to be considered in investment decisions. Farish &amp; Karim
      (2021) and Bin-Nashwan et al. (2022) highlight the importance of
      ethical and sustainability values in shaping intentions,
      especially among millennials and Gen Z. The growing interest in
      green investment and cryptocurrencies with social utility value is
      becoming an increasingly relevant topic.</p>
    </disp-quote>
  </sec>
</sec>














<sec>
  <title>METHODOLOGY</title>
  <disp-quote>
    <p>This study employs the Systematic Literature Review (SLR) method
    to map existing knowledge, identify research gaps, and generate
    conclusions through a structured process. Additionally, this method
    serves as a guide for future research (Torres-Carrion et al., 2018).
    The research also used the Preferred Reporting Items for Systematic
    Reviews and Meta-Analyses (PRISMA) as a guideline for conducting the
    SLR. PRISMA offers several advantages, including assistance in
    defining research questions, identifying inclusion and exclusion
    criteria, and ensuring thorough verification (Moher et al.,
    2009).</p>
  </disp-quote>
  <sec id="formulation-of-research-questions">
    <title>Formulation of Research Questions</title>
    <disp-quote>
      <p>The research questions of this study were formulated based on
      the PICO framework. This framework consists of four main
      components: Population, interventions, comparison, and outcomes.
      In this study, Population refers to individuals interested in
      investing. Interventions encompass various factors to promote
      individual investment intentions, including knowledge,
      psychological, social, company, and technological factors. At the
      same time, outcomes are linked to investment intentions. By
      employing PICO framework, this research provides insights into the
      various factors that influence a person's intention to invest.
      Consequently, the research question posed is: &quot;What are the
      key factors that can encourage individuals' intention to
      invest?”</p>
    </disp-quote>
  </sec>
  <sec id="searching-strategy">
    <title>Searching Strategy</title>
    <disp-quote>
      <p><italic>Identification</italic></p>
    </disp-quote>
    <disp-quote>
      <p>The initial identification stage utilized three reputable
      databases: Scopus, ScienceDirect, and ProQuest. An extensive
      search of relevant articles was conducted in December 2024. This
      research employed a search string of several keywords combined
      with Boolean operators. This search strings aided in conducting
      article searches and ensured the relevance of selected articles to
      the research topic. The specific search string used is detailed in
      Table 1. The article search process identified 1,028 relevant
      articles published between 2019 and 2024. The breakdown of
      articles obtained from each database is as follows: Scopus (n</p>
      <p>= 171), ProQuest (n = 596), and ScienceDirect (n = 261).
      Subsequently, all retrieved articles were organized using
      software, specifically Rayyan and Mendeley. Afterward, 62 articles
      were removed due to duplication, resulting in 966 for further
      analysis in the next stage.</p>
    <disp-quote>
      <p>Table 1. Databases and Search String</p>
    </disp-quote>
    <table-wrap>
      <label>Table 1. Databases and Search String</label>
      <table>
        <thead>
          <tr>
            <th align="left">Database</th>
            <th align="left">Search Strings</th>
          </tr>
        </thead>
        <tbody>
          <tr>
            <td align="left">Scopus</td>
            <td align="left">(( ("investment intention" OR "intention to invest" OR "investor * intention" OR "investment * interest") AND ("stock" OR "stock market" OR "Islamic stock" OR "Islamic investment" OR "mutual fund" OR "Islamic mutual fund *" OR "sukuk" OR "bond" OR "Islamic bond" OR "Islamic stock market" OR "cryptocurrency" OR "ESG" OR "ESG*" OR "green stock" OR "green investment" OR "SRI" OR "sustainability*") ))</td>
          </tr>
          <tr>
            <td align="left">ScienceDirect</td>
            <td align="left">(( "investment intention" OR "intention to invest") AND ("stock" OR "stock market" OR "mutual fund" OR "sukuk" OR "bond" OR "cryptocurrency"))</td>
          </tr>
          <tr>
            <td align="left">ProQuest</td>
            <td align="left">((("investment intention" OR "intention to invest" OR "investor intention" OR "investment interest") AND ("investment" OR "stock" OR "stock market" OR "Islamic stock" OR "Islamic investment" OR "mutual fund" OR "Islamic mutual fund" OR "sukuk" OR "bond" OR "Islamic bond" OR "Islamic stock market" OR "cryptocurrency" OR "ESG" OR "ESG*" OR "green stock" OR "green investment" OR "SRI" OR "sustainability")))</td>
          </tr>
        </tbody>
      </table>
    </table-wrap>
    <disp-quote>
      <p><italic>Screening</italic></p>
    </disp-quote>
      <p>A total of 966 articles selected from the identification stage
      progressed to the screening stage. This stage involved applying
      multiple inclusion criteria. The initial inclusion criterion was
      language. This study exclusively utilizes articles published in
      English. Articles were only included in English to ensure broader
      audience comprehension. Consequently, 12 articles that were not in
      English were</p>
      <p>excluded from this study. The second criterion is related to
      the type of reference. This research only considered articles,
      excluding other reference types like books, conference
      proceedings, literature reviews, and conceptual papers. As a
      result, 113 references were excluded because they did not adhere
      to the article format. Subsequently, titles and abstracts of the
      articles meeting the criteria underwent screening. As a result,
      742 articles were excluded for being unsuitable, leaving 99
      articles for the eligibility stage.</p>
    </disp-quote>
    <disp-quote>
      <p><italic>Eligibility</italic></p>
    </disp-quote>
    <disp-quote>
      <p>The next phase of the process was the full article review
      stage. A total of 99 articles that passed the initial screening.
      Following a thorough assessment, 55 articles were deemed
      unsuitable for inclusion. Specifically, 40 articles lacked
      relevance in research contexts and did not address financial
      assets, while the remaining 15 did not analyze individual units of
      analysis. Consequently, 55 articles were excluded, resulting in 44
      articles considered suitable for this study. The detailed stages
      of the article selection process, in accordance with PRISMA
      guidelines, are depicted in Figure 1.</p>
    </disp-quote>
    <graphic mimetype="image" mime-subtype="jpeg" xlink:href="vertopal_764f4e89d3e04387a8cc0c567bafcdab/media/image3.jpeg" />
    <disp-quote>
      <p><bold>Figure 1. Article Selection Process using PRISMA Flow
      Diagram Source: Processed Data, 2024</bold></p>
    </disp-quote>
  </sec>
</sec>













<sec>
  <title>RESEARCH RESULT AND DISCUSSION</title>
  <disp-quote>
    <p>This systematic review thoroughly analyzes studies investigating
    the factors influencing individual investment intentions. Table 1
    outlines some of the categories of articles included in this review.
    Most prior research on investment intentions is based on the Theory
    of Planned Behavior (TPB). In addition to TPB, several other
    theories have also been used as foundations for research on
    investment intentions, including the Theory of Reasoned Action
    (TRA), Social</p>
    <p>Cognitive Theory (SCT), Prospect Theory, Self-Determination
    Theory, Behavioral Finance Theory, the Technology Acceptance Model
    (TAM), Motivation Theory, Emotional Finance Theory, and the Unified
    Theory of Acceptance and Use of Technology (UTAUT). Furthermore,
    some studies have employed multiple theories simultaneously as the
    basis for their research. Moreover, most research on investment
    intentions has been conducted in Indonesia (12 articles) and India
    (12 articles), followed by Malaysia (6 articles), China (3
    articles), Turkey (3 articles), Taiwan (2 articles), Saudi Arabia (2
    articles), and single articles from Thailand, Egypt, Italy, and
    Pakistan. The predominant analytical method used in these studies is
    the Partial Least Squares Structural Equation Modeling (PLS- SEM)
    method, which is employed in 24 studies. Other popular methods
    include Structural Equation Modeling (SEM), utilized in 10 studies,
    and multiple regression, used in 9 studies.</p>
  </disp-quote>
  <disp-quote>
    <p>Table 2. Study Characteristic</p>
  </disp-quote>
  <table-wrap>
    <label>Table 2. Study Characteristic</label>
    <caption>
      <title><italic>Source: Processed Data, 2024</italic></title>
    </caption>
    <table>
      <thead>
        <tr>
          <th align="left">Study Characteristic</th>
          <th align="right">Frequency</th>
        </tr>
      </thead>
      <tbody>
        <tr>
          <td align="left" colspan="2">Theory Used</td>
        </tr>
        <tr>
          <td align="left">Theory Of Reasoned Action (TRA)</td>
          <td align="right">5</td>
        </tr>
        <tr>
          <td align="left">Theory Of Planned Behavior (TPB)</td>
          <td align="right">29</td>
        </tr>
        <tr>
          <td align="left">Social Cognitive Theory (SCT)</td>
          <td align="right">2</td>
        </tr>
        <tr>
          <td align="left">Prospect Theory</td>
          <td align="right">1</td>
        </tr>
        <tr>
          <td align="left">Self-Determination Theory</td>
          <td align="right">2</td>
        </tr>
        <tr>
          <td align="left">Behavioral Finance Theory</td>
          <td align="right">3</td>
        </tr>
        <tr>
          <td align="left">Technology Acceptance Model (TAM)</td>
          <td align="right">2</td>
        </tr>
        <tr>
          <td align="left">Motivation Theory</td>
          <td align="right">1</td>
        </tr>
        <tr>
          <td align="left">Emotional Finance Theory</td>
          <td align="right">1</td>
        </tr>
        <tr>
          <td align="left">Unified Theory of Acceptance and Use of Technology (UTAUT)</td>
          <td align="right">2</td>
        </tr>
        <tr>
          <td align="left" colspan="2">Country</td>
        </tr>
        <tr>
          <td align="left">Indonesia</td>
          <td align="right">12</td>
        </tr>
        <tr>
          <td align="left">Malaysia</td>
          <td align="right">6</td>
        </tr>
        <tr>
          <td align="left">Taiwan</td>
          <td align="right">2</td>
        </tr>
        <tr>
          <td align="left">Thailand</td>
          <td align="right">1</td>
        </tr>
        <tr>
          <td align="left">India</td>
          <td align="right">12</td>
        </tr>
        <tr>
          <td align="left">Egypt</td>
          <td align="right">1</td>
        </tr>
        <tr>
          <td align="left">China</td>
          <td align="right">3</td>
        </tr>
        <tr>
          <td align="left">Saudi Arabia</td>
          <td align="right">2</td>
        </tr>
        <tr>
          <td align="left">Italian</td>
          <td align="right">1</td>
        </tr>
        <tr>
          <td align="left">Turkey</td>
          <td align="right">3</td>
        </tr>
        <tr>
          <td align="left">Pakistan</td>
          <td align="right">1</td>
        </tr>
        <tr>
          <td align="left" colspan="2">Analysis Method</td>
        </tr>
        <tr>
          <td align="left">Structural Equation Modelling (SEM)</td>
          <td align="right">10</td>
        </tr>
        <tr>
          <td align="left">Partial Least Square Structural Equation Modelling (PLS-SEM)</td>
          <td align="right">24</td>
        </tr>
        <tr>
          <td align="left">Multiple Regression</td>
          <td align="right">9</td>
        </tr>
        <tr>
          <td align="left">Fuzzy Analytic Framework</td>
          <td align="right">1</td>
        </tr>
      </tbody>
    </table>
  </table-wrap>
  <sec id="the-factor-driving-investment-intention">
    <title>The Factor Driving Investment Intention</title>
    <disp-quote>
      <p>Based on an analysis of several articles in this review, five
      key categories of factors significantly influence individual
      investment intentions. This indicates that various elements can
      shape investment intentions, including personal, psychological,
      company, social, and technological factors. Table 3 provides a
      detailed analysis of these variables and their relationship with
      individual</p>
      <p>investment intentions. Common factors identified in previous
      studies include financial literacy, subjective norms, attitude,
      perceived behavioral control, risk, and social influence. Each
      category of factors that drive individual investment intentions is
      discussed in the following sections to provide a deeper
      understanding.</p>
    </disp-quote>
    <disp-quote>
      <p>Table 3. Factor Driving Investment Intention</p>
    </disp-quote>
    <table-wrap>
      <label>Table 3. Factor Driving Investment Intention</label>
      <caption>
        <title><italic>Source: Processed Data, 2024</italic></title>
      </caption>
      <table>
        <thead>
          <tr>
            <th align="left">Category</th>
            <th align="left">Independent Variable</th>
            <th align="left">Relevant Studies</th>
            <th align="left">Research Findings on Investment Intention</th>
          </tr>
        </thead>
        <tbody>
          <tr>
            <td align="left" rowspan="6">Personal Factors</td>
            <td align="left">Financial Literacy</td>
            <td align="left">Akhtar &amp; Das (2019); Anisa &amp; Kholid (2022); Farish &amp; Karim (2021); Gupta et al., (2021); Handranata et al., (2023); Lim et al., (2020); Lim &amp; Qi, (2023); Raut et al., (2021); Shehata et al., (2021); Sukarno et al., (2024); Widagdo &amp; Kenny, (2022); Zhang &amp; Huang, (2024)<break/>Addurry et al., (2020); Misra et al., (2024)</td>
            <td align="left">Significant<break/><break/>No Significant</td>
          </tr>
          <tr>
            <td align="left">Self-Efficacy</td>
            <td align="left">Kurniawan (2021); Wang et al., (2024)</td>
            <td align="left">Significant</td>
          </tr>
          <tr>
            <td align="left">Religiosity</td>
            <td align="left">Farish &amp; Karim (2021)</td>
            <td align="left">Significant</td>
          </tr>
          <tr>
            <td align="left">Financial well-being</td>
            <td align="left">Handranata et al., (2022)</td>
            <td align="left">Significant</td>
          </tr>
          <tr>
            <td align="left">Financial Attitude</td>
            <td align="left">Yoopetch &amp; Chaithanapat (2021)</td>
            <td align="left">Significant</td>
          </tr>
          <tr>
            <td align="left">Financial Behavior</td>
            <td align="left">Yoopetch &amp; Chaithanapat (2021)</td>
            <td align="left">Significant</td>
          </tr>
          <tr>
            <td align="left" rowspan="11">Psychological Factors</td>
            <td align="left">Subjective Norms</td>
            <td align="left">Akhtar &amp; Das (2019); Bin-Nashwan et al., (2022); Dewi &amp; Tamara (2020); Farish &amp; Karim (2021); Hemdan &amp; Zhang (2024); Lai, (2019); Marwan et al., (2024); Misra et al., (2021); Pick-Soon et al., (2024); Raut et al., (2021); Thanki et al., (2021); Yoopetch &amp; Chaithanapat (2021); Zhang &amp; Huang (2024)<break/>Addurry et al., (2020); Anisa &amp; Kholid (2022)</td>
            <td align="left">Significant<break/><break/>No Significant</td>
          </tr>
          <tr>
            <td align="left">Attitude</td>
            <td align="left">Addurry et al., (2020); Anisa &amp; Kholid (2022); Bin-Nashwan et al., (2022); Dewi &amp; Tamara (2020); Farish &amp; Karim (2021); Hemdan &amp; Zhang (2024); Lai (2019); Marwan et al., (2024); Misra et al., (2021); Pick-Soon et al., (2024); Raut et al., (2021); Thanki et al., (2021); Zhang &amp; Huang (2024)</td>
            <td align="left">Significant</td>
          </tr>
          <tr>
            <td align="left">Perceived Behavioral Control</td>
            <td align="left">Addurry et al., (2020); Anisa &amp; Kholid (2022); Bin-Nashwan et al., (2022); Farish &amp; Karim (2021); Hemdan &amp; Zhang (2024); Lai (2019); Misra et al., (2021); Pick-Soon et al., (2024); Raut et al., (2021); Thanki et al., (2021); Zhang &amp; Huang (2024)</td>
            <td align="left">Significant<break/><break/>No Significant</td>
          </tr>
          <tr>
            <td align="left">Openness</td>
            <td align="left">Aren &amp; Hamamci (2020); Pusparwati et al., (2024); Widagdo &amp; Kenny (2022)<break/>Matha et al., (2022)</td>
            <td align="left">Significant<break/><break/>No Significant</td>
          </tr>
          <tr>
            <td align="left">Neuroticism</td>
            <td align="left">Aren &amp; Hamamci (2020); Matha et al., (2022); Pusparwati et al., (2024); Widagdo &amp; Kenny (2022)</td>
            <td align="left">No Significant</td>
          </tr>
          <tr>
            <td align="left">Agreeableness</td>
            <td align="left">Widagdo &amp; Kenny (2022)<break/>Matha et al., (2022); Pusparwati et al., (2024)</td>
            <td align="left">Significant<break/><break/>No Significant</td>
          </tr>
          <tr>
            <td align="left">Extroversion</td>
            <td align="left">Pusparwati et al., (2024); Widagdo &amp; Kenny (2022)<break/>Matha et al., (2022)</td>
            <td align="left">No Significant<break/><break/>Significant</td>
          </tr>
          <tr>
            <td align="left">Conscientiousness</td>
            <td align="left">Widagdo &amp; Kenny (2022)<break/>Matha et al., (2022); Pusparwati et al., (2024)</td>
            <td align="left">No Significant<break/><break/>Significant</td>
          </tr>
          <tr>
            <td align="left">Herding Bias</td>
            <td align="left">Kumar et al., (2024); Misra et al., (2024)</td>
            <td align="left">Significant</td>
          </tr>
          <tr>
            <td align="left">Loss Aversion</td>
            <td align="left">Kumar et al., (2024)</td>
            <td align="left">Significant</td>
          </tr>
          <tr>
            <td align="left">Overconfidence</td>
            <td align="left">Kumar et al., (2024); Geetha et al., 2023; Kurniawan (2021); Lim et al., (2020); Misra et al., (2021)</td>
            <td align="left">Significant</td>
          </tr>
          <tr>
            <td align="left" rowspan="3">Company Factors</td>
            <td align="left">Perceived Risk</td>
            <td align="left">Hasan et al., (2024); Ji-Xi et al., (2021); Kurniawan (2021); Raut et al., (2021); Sukarno et al., (2024); S. Wang et al., (2024)</td>
            <td align="left">No Significant<break/><break/>Significant</td>
          </tr>
          <tr>
            <td align="left">Financial Performance &amp; Future Orientation</td>
            <td align="left">Al-banna &amp; Jannah (2024); Aren &amp; Hamamci (2023)</td>
            <td align="left">No Significant</td>
          </tr>
          <tr>
            <td align="left">Environmental Concern</td>
            <td align="left">Al-banna &amp; Jannah (2024); Farish &amp; Karim (2021)<break/>Adhiyogo et al., (2022); Raut et al., (2021)</td>
            <td align="left">Significant<break/><break/>No Significant</td>
          </tr>
          <tr>
            <td align="left" rowspan="2">Social Factor</td>
            <td align="left">Social Influence</td>
            <td align="left">Gupta et al., (2021); Hasan et al., (2024); Ji-Xi et al., (2021); Lim et al., (2020); Natsir &amp; Arifin (2021)</td>
            <td align="left">Significant</td>
          </tr>
          <tr>
            <td align="left">Social-Media</td>
            <td align="left">Ahuja &amp; Grover (2023); Choudhary et al., (2024); Sukarno et al., (2024)<break/>Handranata et al., (2022)</td>
            <td align="left">Significant</td>
          </tr>
          <tr>
            <td align="left" rowspan="4">Technological Factor</td>
            <td align="left">Stock Influencer</td>
            <td align="left">Handranata et al., (2024)</td>
            <td align="left">Significant</td>
          </tr>
          <tr>
            <td align="left">Perceived Trust</td>
            <td align="left">Gupta et al., (2021); Hasan et al., (2024)</td>
            <td align="left">Significant</td>
          </tr>
          <tr>
            <td align="left">Perceived Usefulness</td>
            <td align="left">Gupta et al., (2021); Hasan et al., (2024)</td>
            <td align="left">Significant</td>
          </tr>
          <tr>
            <td align="left">Perceived Ease of Use<break/>Financial Technology</td>
            <td align="left">Hasan et al., (2024)<break/>Sukarno et al., (2024)</td>
            <td align="left">Significant</td>
          </tr>
        </tbody>
      </table>
    </table-wrap>
  </sec>
  <sec id="personal-factors">
    <title>Personal Factors</title>
    <disp-quote>
      <p>This study examines personal factors, comprising several
      specific elements. Personal factors can include various aspects,
      such as cognitive components related to financial literacy,
      religious beliefs, and individual attitudes toward finance. A
      review of 17 articles shows that 12 found a strong correlation
      between financial literacy and investment intentions.
      Understanding investment products and financial concepts, known as
      financial literacy, can be used to attain financial stability
      (Zhang &amp; Huang, 2024). Individuals with a high level of
      financial literacy are usually more adept at managing their
      finances and avoiding losses (Widagdo &amp; Kenny, 2022).
      Moreover, individuals with strong financial literacy often see
      investment as a viable option for achieving greater future
      benefits. Consequently, financial literacy significantly
      influences individual investment intentions (Adil et al., 2022;
      Akhtar &amp; Das, 2019; Anisa &amp; Kholid, 2022; Farish &amp;
      Karim, 2021; Gupta et al., 2021; Handranata et al., 2023; Lim et
      al., 2020; Lim &amp; Qi, 2023; Raut et al., 2021; Shehata et al.,
      2021; Sukarno et al., 2024; Widagdo &amp; Kenny, 2022; Zhang &amp;
      Huang, 2024).</p>
      <p>Another personal factor is self-efficacy, defined as a person's
      confidence in their capacity to plan and act to achieve desired
      results. Higher self-efficacy individuals typically exhibit
      superior performance in various behaviors, including investment.
      Research by Kurniawan (2021); Y.-S. Wang et al. (2024)
      demonstrates that self-efficacy plays a significant role in
      enhancing individuals' investment intentions, particularly in
      stock instruments (Kurniawan, 2021) and cryptocurrencies (Y.-S.
      Wang et al., 2024). With high self-efficacy, individuals are
      better equipped to navigate the complexities of investing, analyze
      market trends, and develop effective investment strategies (Y.-S.
      Wang et al., 2024). Consequently, they are more willing to get
      involved in investment activities.</p>
      <p>Religiosity refers to the degree of a person's belief in and
      adherence to religious values in their life. Religious beliefs can
      significantly influence a person's positive attitude toward using
      Islamic financial products (Bin-Nashwan et al., 2022). Higher
      spiritual people are more likely to invest in Islamic stocks. This
      is consistent with research findings indicating that religiosity
      plays a significant role in increasing investment intentions in
      stock assets that adhere to the Islamic Sustainable and
      Responsible Investment (SRI) concept (Farish &amp; Karim, 2021).
      This concept integrates Sharia principles with SRI, suggesting
      that individuals who uphold religious values are more inclined to
      invest in assets that do not harm the environment, promote
      community welfare, and comply with Islamic principles (Farish
      &amp; Karim, 2021).</p>
      <p>Previous studies have shown that financial well-being
      significantly impacts stock investment intentions in Indonesia
      (Handranata et al., 2022). Additionally, both financial attitude
      and financial behavior have been found to significantly influence
      stock investment intentions in Bangkok (Yoopetch &amp;
      Chaithanapat, 2021). Financial well-being refers to a sense of
      financial security, freedom from financial worries, and overall
      satisfaction with one's financial circumstances (Handranata et
      al., 2022). Individuals who have financial well-being are
      typically more confident when starting to invest because they
      perceive greater control over their financial situation. Financial
      attitude encompasses an individual's</p>
      <p>perspective on finance and reflects how they manage their
      money. Having a positive attitude towards money management
      encourages individuals to view investing as a long-term strategy
      for achieving their financial goals. On the other hand, financial
      behavior involves individuals' actions to utilize their assets to
      obtain desired benefits in the future (Yoopetch &amp;
      Chaithanapat, 2021). People with strong financial habits are
      generally more disciplined, organized, and thoughtful when
      managing their finances. Such habits can help individuals feel
      more prepared, confident, and intentional in their investment
      decisions.</p>
    </disp-quote>
  </sec>
  <sec id="psychological-factors">
    <title>Psychological Factors</title>
    <disp-quote>
      <p>According to the Theory of Planned Behavior, three key
      factors—attitude, subjective norms, and perceived behavioral
      control—play significant roles in shaping investment intentions.
      Attitude refers to an individual's evaluation of a specific
      action, either positively or negatively. A positive attitude forms
      when an individual sees an action as beneficial and satisfying,
      while a negative attitude arises when the opposite is the case.
      Individuals are more inclined to develop positive intentions to
      engage in a behavior when they hold a positive attitude (Akhtar
      &amp; Das, 2019). These findings align with previous research
      indicating that attitude significantly impacts behavioral
      intentions (Addury et al., 2020; Anisa &amp; Kholid, 2022;
      Bin-Nashwan et al., 2022; Dewi &amp; Tamara, 2020; Farish &amp;
      Karim, 2021; Hemdan &amp; Zhang, 2024; Marwan et al., 2024; Misra
      et al., 2021; Pick-Soon et al., 2024; Raut et al., 2021; Thanki et
      al., 2024; Zhang &amp; Huang, 2024). A positive attitude towards
      sharia-compliant investments has been shown to increase the
      intention to invest in sukuk in Malaysia (Bin-Nashwan et al.,
      2022). Likewise, a positive attitude has been demonstrated to
      boost investment intentions in retail bonds, as individuals
      perceive these investments as providing numerous benefits (Dewi
      &amp; Tamara, 2020). Furthermore, this positive attitude has a big
      impact on people's intent to invest in stocks (Yoopetch &amp;
      Chaithanapat, 2021), green investments (Hemdan &amp; Zhang, 2024),
      and mutual funds (Thanki et al., 2024).</p>
      <p>Subjective norms pertain to the opinions and influences of
      individuals closest to a person, like family and friends,
      concerning their readiness to participate in specific behaviors
      (Ajzen, 1991). Individuals who receive support and encouragement
      from those around them have a greater probability of engaging in a
      behavior (Addury et al., 2020). This concept also applies to
      investing. If an individual hears from many friends or family
      members that investing is profitable, they are more likely to
      pursue investment opportunities. Conversely, if their social
      circle suggests that investing is a risky or harmful activity, the
      individual's inclination to invest will likely decrease. Numerous
      studies have shown that subjective norms significantly impact
      investment intentions (Akhtar &amp; Das, 2019; Bin-Nashwan et al.,
      2022; Dewi &amp; Tamara, 2020; Farish &amp; Karim, 2021; Hemdan
      &amp; Zhang, 2024; Marwan et al., 2024; Misra et al., 2021;
      Pick-Soon et al., 2024; Raut et al., 2021; Thanki et al., 2024;
      Yoopetch &amp; Chaithanapat, 2021; Zhang &amp; Huang, 2024).
      Individuals often gain motivation from peers when considering
      investments in stock markets (Yoopetch &amp; Chaithanapat, 2021).
      Additionally, advice from one's social network has notably
      enhanced an individual's intention to invest in cryptocurrencies
      (Misra et al., 2021).</p>
      <p>The term &quot;perceived behavioral control&quot; describes how
      someone believes about their capacity to carry out a particular
      behavior (Ajzen, 1991). Research has shown that perceived
      behavioral control is a crucial factor influencing intentions to
      invest in different assets, such as stocks (Addury et al., 2020;
      Anisa &amp; Kholid, 2022), Sukuk (Bin-Nashwan et al., 2022), green
      investments (Hemdan &amp; Zhang, 2024), and cryptocurrencies
      (Misra et al., 2021). An individual's intention to engage in a
      specific behavior is significantly influenced by their confidence
      in their ability to acquire the necessary opportunities,
      resources, and skills (Anisa &amp; Kholid, 2022). Conversely, if
      an individual feels unable to perform a behavior, they are less
      likely to achieve their desired outcomes and may be more hesitant
      to invest in certain areas (Aliedan et al., 2023).</p>
      <p>The next factor to consider is personality traits, individual
      characteristics that can help predict a person's behavioral
      intentions (Lai, 2019). Each individual possesses different traits
      influencing their financial behavior, including their intention to
      invest (Puspawati et al., 2024). One notable framework for
      understanding personality is the Big Five Personality Traits
      Model, which encompasses openness, neuroticism, agreeableness,
      extroversion, and conscientiousness. Research indicates that
      agreeableness, extroversion, and conscientiousness have a positive
      impact on investment intentions (Aren &amp; Hamamci, 2020;
      Puspawati et al., 2024; Widagdo &amp; Kenny, 2022). Openness
      refers to the willingness to accept novel concepts and
      experiences. An individual who is open is generally more inclined
      to try new things, which, in turn, leads to a higher intention to
      invest due to their ability to assimilate new information
      (Puspawati et al., 2024). Additionally, neuroticism describes an
      individual's capacity to manage stress levels. Those with high
      neuroticism often experience unstable emotions, anxiety, and a
      lack of self-confidence (Aren &amp; Hamamci, 2020). This trait is
      often linked to risk aversion; neurotic individuals are more
      inclined to steer clear of potential losses, which adversely
      affects their willingness to invest in the capital market
      (Puspawati et al., 2024). Furthermore, agreeableness describes a
      person's capacity for interaction and knowledge intake. People who
      exhibit agreeableness are generally more open to discussions and
      insights regarding investments, which can, in turn, enhance their
      intention to invest. Extroversion describes individuals who prefer
      to interact with others. Individuals with extroverted traits are
      inclined to share information about investments with a wide range
      of people, which boosts their confidence in making direct
      investments. Lastly, conscientiousness characterizes individuals
      who are organized, responsible, and systematic. These traits
      encourage individuals to plan their finances carefully and take
      measured steps when investing, ultimately enhancing their
      investment intentions.</p>
      <p>The next factor to consider is behavioral bias, which relates
      to the individual psychological and emotional tendencies that can
      influence a person's intentions and decisions. Three specific
      types of behavioral bias will be discussed: herding bias, loss
      aversion bias, and overconfidence bias. Research by Kumar et al.,
      (2024) has examined how these three biases impact investment
      intentions in India, revealing that all three significantly affect
      these intentions. Herding bias can be defined as people's
      propensity to mimic the actions of others (Kumar et</p>
      <p>al., 2024). A related study found that individuals experiencing
      FOMO (fear of missing out) are more likely to follow others in
      stock investments (Y.-S. Wang et al., 2024). Additionally,
      individuals often feel more confident in making investment
      decisions when they emulate the actions of individuals they
      perceive as knowledgeable or suitable (Kumar et al., 2024). On the
      other hand, loss aversion bias refers to the psychological
      phenomenon where individuals perceive similar losses as more
      significant than equivalent gains (Aren &amp; Hamamci, 2020).
      Those who fear taking risks prefer staying within their comfort
      zones, making them hesitate to invest in high-risk instruments
      like stocks (Kumar et al., 2024). The tendency for people to
      overestimate their capabilities is known as overconfidence bias.
      Such bias can lead to inaccurate assessments. Overconfident
      individuals usually have greater investment intentions because of
      their strong belief in their capabilities.</p>
      <p>Lastly, perceived risk is an individual's assessment of
      potential losses from an investment. This perception significantly
      influences investment intentions. Those who view risk as
      acceptable are generally more inclined to make risky investments
      (Rahman et al., 2023). Prior research supports this finding that
      risk perceptions strongly impact individual investment intentions,
      particularly in high-risk instruments such as stocks (Kurniawan,
      2021; Lim et al., 2020) and cryptocurrencies (Misra et al., 2021).
      On the contrary, risk-averse individuals prefer safer investment
      options, such as corporate bonds (Geetha et al., 2023).</p>
    </disp-quote>
  </sec>
  <sec id="company-factors">
    <title>Company Factors</title>
    <disp-quote>
      <p>Individual investment intentions are impacted by both internal
      and external factors, particularly those related to the companies
      being considered for investment. A key element that drives
      individual investment intentions is the financial performance of
      these companies. Investors are generally more inclined to invest
      in companies with promising financial prospects, as evidenced by
      their past financial performance (Raut et al., 2021). The
      financial health and profit- generating ability of a company are
      essential, considering that the main objective of investing is to
      generate a profit. Moreover, sustainability has garnered
      considerable attention from diverse groups, including individual
      investors. These investments aim not only for short-term profits
      but also take into account long-term effects on environmental,
      social, and governance issues (S. Wang et al., 2024). The
      connection between individual investment intentions, environmental
      concerns, and future orientation has been explored in several
      studies (Adhiyogo et al., 2022; Al-banna &amp; Jannah, 2024; Aren
      &amp; Hamamci, 2023; Farish &amp; Karim, 2021; Kurniawan, 2021;
      Raut et al., 2021; Sukarno et al., 2024; S. Wang et al., 2024).
      Firms that prioritize future-oriented strategies and
      sustainability appeal to individuals interested in social and
      environmental matters. Consequently, these individuals are more
      inclined to invest in such companies (S. Wang et al., 2024).
      Interestingly, although financial performance is typically deemed
      crucial in investing, a study by Al-banna and Jannah (2024)
      reveals that Muslim investors in Indonesia prioritize social,
      environmental, and religious impacts over financial outcomes.
      Instead, they focus more on the social, environmental, and
      religious impacts of their investments.</p>
    </disp-quote>
  </sec>
  <sec id="social-factors">
    <title>Social Factors</title>
    <disp-quote>
      <p>Social influence pertains to the encouragement that arises from
      one's surrounding environment (Natsir &amp; Arifin, 2021). An
      individual's personality and behavior are frequently influenced by
      their surroundings, including family and close relatives (Lim
      &amp; Qi, 2023). Social interactions among individuals facilitate
      effective information exchange (Lim et al., 2020), which can
      impact various behaviors, including financial behavior (Lim &amp;
      Qi, 2023). Interactions, whether in person or through social
      media, have been revealed to increase individuals' intentions to
      invest (Ahuja &amp; Grover, 2023; Choudhary et al., 2024; Gupta et
      al., 2021; Hasan et al., 2024; Ji-Xi et al., 2021; Lim et al.,
      2020; Natsir &amp; Arifin, 2021; Sukarno et al., 2024). This
      tendency occurs because individuals often seek advice before
      making decisions (Gupta et al., 2021). When individuals receive
      recommendations to invest from family, friends, or influential
      figures, they are more inclined to participate in investment
      (Ji-Xi et al., 2021). Moreover, technological advancements have
      also enhanced social interactions. Frequently, social media
      platforms offer various campaigns, information, and guidance
      related to investment, which greatly impact individuals'
      intentions to invest in assets like stocks and cryptocurrencies
      (Sukarno et al., 2024). Likewise, a stronger inclination to invest
      in cryptocurrencies is driven by positive advice and discussions
      on social media platforms (Zhang &amp; Huang, 2024). Additionally,
      the more individuals observe influencers on social media, the
      greater their emotional attachment, which increases their
      intention to engage in similar investment activities (Handranata
      et al., 2022).</p>
    </disp-quote>
  </sec>
  <sec id="technological-factors">
    <title>Technological Factors</title>
    <disp-quote>
      <p>Financial technology services have rapidly evolved and
      diversified in recent years. The development of fintech represents
      a shift in how individuals manage their finances, particularly in
      areas such as investing (Sukarno et al., 2024). This evolution is
      supported by the convenience that fintech platforms provide.
      Several critical factors require consideration in fintech,
      including user trust, platform usefulness, and ease of use.
      Previous research has examined how perceived trust, perceived
      usefulness, and perceived ease of use influence investment
      intentions (Gupta et al., 2021; Hasan et al., 2024). Perceived
      trust includes transaction security, platform reliability, and
      compliance with regulatory frameworks. Individuals who trust
      fintech platforms and investment assets are more likely to engage
      in such investments (Hasan et al., 2024). Moreover, perceived
      usefulness relates to how beneficial and relevant a fintech
      platform is viewed as beneficial and relevant to an investor's
      financial goals. This perception can significantly impact an
      individual's decision to participate in investment. Another
      crucial factor is perceived ease of use. Platforms that are easy
      to use have a higher chance of drawing in possible investors
      (Hasan et al., 2024). When these three factors—perceived ease of
      use, usefulness, and trust— are present, investors are more
      inclined to strengthen their investment intentions by utilizing
      available fintech services.</p>
    </disp-quote>
  </sec>
</sec>







<sec>
  <title>CONCLUSIONS AND RECOMMENDATIONS</title>
  <disp-quote>
    <p>This systematic review investigates the factors that influence
    individual investment intentions. An in-depth analysis of 44
    articles showed that personal, psychological, company, social, and
    technological factors have a significant impact on these intentions.
    This suggests that individual investment intentions are influenced
    by both internal factors and external influences. Moreover, the
    findings emphasize that financial literacy and the dimensions of the
    Theory of Planned Behavior (TPB), such as attitude, subjective
    norms, perceived behavioral control, and perceived risk, are the
    main factors commonly addressed in the literature on investment
    intentions. Moreover, social media and influencers play a
    significant role in influencing investment intentions by improving
    information exchange and raising awareness. Sustainable investments,
    particularly those aligned with environmental, social, and
    governance (ESG) principles, have garnered increased interest from
    investors as they evaluate potential financial gains and broader
    social and environmental impacts.</p>
    <p>This literature review provides theoretical and practical
    insights into the factors influencing individual investment
    intentions. Theoretically, it identifies the essential elements that
    can influence these intentions. Moreover, the results lay the
    groundwork and offer recommendations for developing more
    comprehensive research models in the future. Practically,
    policymakers like government entities, financial institutions, and
    companies can use these results to develop strategies to enhance
    individual investment intentions. An effective approach could
    involve implementing well-structured and easily accessible
    investment educational programs for the public. Moreover,
    policymakers can collaborate with influencers and maximize the use
    of social media to ensure more accurate dissemination of
    investment-related information, ultimately fostering investment
    intentions. Furthermore, continuous improvements and upgrades in
    fintech investment platforms should be prioritized to attract more
    individuals to invest</p>
    <p>This review has certain limitations that need to be acknowledged.
    Firstly, it solely included articles from three databases.
    Subsequent research could broaden the range of databases utilized,
    enabling a more comprehensive selection of articles. Additionally,
    this review focused on articles published between 2019 and 2024,
    which means that studies outside this timeframe were not considered.
    Future studies could expand the period to encompass a wider range of
    information to gain more complete information.</p>
  </disp-quote>
</sec>






<sec>
  <title>ADVANCED RESEARCH</title>
  <disp-quote>
    <p>Based on the review that was carried out, several recommendations
    for future research can be made and organized according to the TCCM
    (Theory, Context, Construct, and Methodology) framework. Firstly, in
    terms of Theory, most of the articles reviewed rely on the Theory of
    Planned Behavior (TPB) as their foundational theory. TPB has proven
    to be a robust foundation for examining individual behavioral
    intentions, including investment intentions. The dimensions of TPB
    frequently emerge as significant predictors in previous studies.
    However, there is a significant opportunity to explore other
    relevant theories, such as Social Cognitive Theory (SCT) and the
    Technology Acceptance</p>
    <p>Model (TAM). SCT improves comprehension of how social
    environments and cognitive abilities impact the formation of
    investment intentions. Moreover, the growing significance of
    technology in investment today underscores the importance of
    considering TAM as a crucial framework. TAM can provide insights
    into how individuals accept and utilize technology in investment. It
    can also help explain how factors such as perceived trust, perceived
    usefulness, and perceived ease of use influence individuals'
    intentions to invest using technology. The current literature mainly
    concentrates on the conventional context.</p>
    <p>Studies that evaluate Sharia principles and green investment
    principles still limited. This suggests a significant opportunity
    for additional research on investment intentions related to Sharia
    and green principles. Moreover, most reviewed articles primarily
    investigate investment intentions in stock instruments. Future
    research can also broaden the focus to encompass a variety of
    less-explored instruments.</p>
    <p>Many previous articles reviewed in this study focus on financial
    literacy, attitudes, subjective norms, perceived behavioral control,
    perceived risk, and financial performance. However, only a few
    studies have explored other constructs, such as behavioral bias.
    This presents an opportunity for future studies to investigate the
    role of behavioral biases in shaping investment intention.
    Understanding these biases is crucial. By integrating behavioral
    biases into investment intention models, future studies can offer a
    more comprehensive view of investor decision-making and improve
    overall market participation.</p>
    <p>Finally, it is observed that all the reviewed articles are
    quantitative. The majority of these articles employ the PLS-SEM
    method. Future research could consider adopting qualitative or
    mixed-method approaches to offer more comprehensive insights into
    investment intentions. Through the combination of these methods,
    researchers may discover new information that has not yet been
    revealed. This approach can result in findings that significantly
    contribute to the understanding of investment intentions.</p>
  </disp-quote>
</sec>






<sec>
  <title>ACKNOWLEDGMENT</title>
  <disp-quote>
    <p>The authors would like to express their sincere gratitude to the
    Faculty of Economics and Business, Universitas Brawijaya, Malang,
    Indonesia, for the valuable support and facilities provided
    throughout the process of this research. We also extend our
    appreciation to all colleagues and reviewers whose insightful
    comments and constructive feedback contributed to the refinement of
    this systematic literature review.</p>
  </disp-quote>
</sec>












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