<?xml version="1.0" encoding="UTF-8"?>
<ArticleSet>
  <Article>
    <Journal>
      <PublisherName></PublisherName>
      <JournalTitle>Future of Work and Digital Management Journal</JournalTitle>
      <Issn></Issn>
      <Volume>4</Volume>
      <Issue>Serial Number 11</Issue>
      <PubDate PubStatus="epublish">
        <Year>2026</Year>
        <Month>01</Month>
        <Day>01</Day>
      </PubDate>
    </Journal>
    <ArticleTitle>Analysis of Factors Affecting Managers’ Political Intelligence Using the Meta-Synthesis Technique in Public Sector Organizations</ArticleTitle>
    <VernacularTitle>Analysis of Factors Affecting Managers’ Political Intelligence Using the Meta-Synthesis Technique in Public Sector Organizations</VernacularTitle>
    <FirstPage>1</FirstPage>
    <LastPage>12</LastPage>
    <Language>EN</Language>
    <AuthorList>
      <Author>
        <FirstName></FirstName>
        <LastName></LastName>
        <Affiliation></Affiliation>
      </Author>
      <Author>
        <FirstName></FirstName>
        <LastName></LastName>
        <Affiliation></Affiliation>
      </Author>
      <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>2025</Year>
        <Month>07</Month>
        <Day>30</Day>
      </PubDate>
    </History>
    <Abstract>&lt;table&gt;
&lt;tbody&gt;
&lt;tr&gt;
&lt;td&gt;
&lt;p&gt;In recent decades, political intelligence has attracted considerable attention from researchers and practitioners. The purpose of the present study is to analyze the factors affecting managers’ political intelligence using the meta-synthesis technique within public sector organizations. By employing the meta-synthesis approach, the findings of domestic and international studies related to this topic were systematically reviewed based on the seven-step model proposed by Sandelowski and Barroso. Out of 189 studies identified in this field, 46 articles were selected, from which 11 influencing factors were identified and extracted. Using three-stage coding in MAXQDA software, these factors were analyzed and categorized into one main category, six axial codes, and eleven open codes. To assess reliability and ensure the quality control of the present study, the Kappa coefficient method was applied. The Kappa coefficient calculated using SPSS software was 0.885, indicating an excellent level of agreement. The factors identified as influencing managers’ political intelligence in this study include social games, power dynamics, individual influence, networking ability, and information capture. It is expected that applying the results of this study will enhance managerial competencies and improve both internal and external organizational relations.&lt;/p&gt;
&lt;/td&gt;
&lt;/tr&gt;
&lt;/tbody&gt;
&lt;/table&gt;</Abstract>
    <ObjectList>
      <Object Type="keyword">
        <Param Name="value">intelligence</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">political</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">influencing factors</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">meta-synthesis</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">public sector</Param>
      </Object>
    </ObjectList>
    <ArchiveCopySource DocType="pdf">https://journalfwdmj.com/index.php/fwdmj/article/download/178/184</ArchiveCopySource>
  </Article>
</ArticleSet>
