<?xml version="1.0" encoding="UTF-8"?>
<ArticleSet>
  <Article>
    <Journal>
      <PublisherName></PublisherName>
      <JournalTitle>Future of Work and Digital Management Journal</JournalTitle>
      <Issn></Issn>
      <Volume>3</Volume>
      <Issue>Serial Number 7</Issue>
      <PubDate PubStatus="epublish">
        <Year>2025</Year>
        <Month>03</Month>
        <Day>30</Day>
      </PubDate>
    </Journal>
    <ArticleTitle>The Role of Social Media in Shaping Regulatory Policies for Digital Businesses: Business and Policy Perspectives</ArticleTitle>
    <VernacularTitle>The Role of Social Media in Shaping Regulatory Policies for Digital Businesses: Business and Policy Perspectives</VernacularTitle>
    <FirstPage>1</FirstPage>
    <LastPage>10</LastPage>
    <Language>EN</Language>
    <AuthorList>
      <Author>
        <FirstName></FirstName>
        <LastName></LastName>
        <Affiliation></Affiliation>
      </Author>
      <Author>
        <FirstName></FirstName>
        <LastName></LastName>
        <Affiliation></Affiliation>
      </Author>
    </AuthorList>
    <PublicationType>Journal Article</PublicationType>
    <History>
      <PubDate PubStatus="received">
        <Year> 2024</Year>
        <Month>11</Month>
        <Day>14</Day>
      </PubDate>
    </History>
    <Abstract>&lt;table&gt;
&lt;tbody&gt;
&lt;tr&gt;
&lt;td&gt;
&lt;p&gt;This study aimed to analyze how social media influences the regulatory policy-making process in digital business ecosystems through agenda-setting, social mobilization, and direct policy impact. A mixed-methods design combining quantitative and qualitative approaches was adopted to capture both the measurable impact of social media and the deeper mechanisms behind it. The quantitative phase employed a stratified random sample of 384 social media users categorized as ordinary users, influencers, and digital experts. Data were collected through a 20-item online Likert-scale questionnaire, with reliability confirmed by Cronbach’s alpha (0.87) and content validity ensured by expert review. The qualitative phase included 15 semi-structured interviews with policy-makers, startup executives, and media specialists, complemented by content analysis of 5,000 tweets and 2,000 Instagram posts related to ride-hailing services and cryptocurrencies between 2018 and 2023. Quantitative data were analyzed using t-tests, ANOVA, and multiple regression in SPSS, while qualitative data underwent thematic analysis. Statistical analysis confirmed that social media significantly enhances public awareness (M = 4.32, p &amp;lt; .001) and drives social mobilization (M = 4.05, p &amp;lt; .001). Multiple regression revealed that awareness (β = .41, p &amp;lt; .001), social mobilization (β = .35, p &amp;lt; .001), and direct user–policy-maker interaction (β = .22, p &amp;lt; .01) each had a positive and significant impact on regulatory outcomes, collectively explaining 62% of the variance in policy change (R² = .62). ANOVA indicated significant differences among user categories, with influencers and experts exerting greater policy-shaping influence than ordinary users. Qualitative insights underscored three major themes: transparency enhancement, coordinated social pressure, and challenges from misinformation leading to reactive regulation. Social media has evolved from a communication platform into an institutional actor capable of shaping regulatory policies in digital business sectors. Recognizing and systematizing this influence can improve transparency, responsiveness, and legitimacy in policy-making, while also requiring safeguards to prevent reactionary and poorly informed decisions.&lt;/p&gt;
&lt;/td&gt;
&lt;/tr&gt;
&lt;/tbody&gt;
&lt;/table&gt;</Abstract>
    <ObjectList>
      <Object Type="keyword">
        <Param Name="value">social media</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value"> regulatory policy</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">digital business</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value"> agenda-setting</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">social mobilization</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">policy-making</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value"> mixed methods</Param>
      </Object>
    </ObjectList>
    <ArchiveCopySource DocType="pdf">https://journalfwdmj.com/index.php/fwdmj/article/download/134/125</ArchiveCopySource>
  </Article>
</ArticleSet>
