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<ArticleSet>
  <Article>
    <Journal>
      <PublisherName></PublisherName>
      <JournalTitle>Journal of Resource Management and Decision Engineering</JournalTitle>
      <Issn></Issn>
      <Volume>4</Volume>
      <Issue>Serial Number 11</Issue>
      <PubDate PubStatus="epublish">
        <Year>2025</Year>
        <Month>06</Month>
        <Day>01</Day>
      </PubDate>
    </Journal>
    <ArticleTitle>Identifying the Dimensions of Effective Decision-Making Based on Public Policy-Making Models in the Social Security Organization of Kerman</ArticleTitle>
    <VernacularTitle>Identifying the Dimensions of Effective Decision-Making Based on Public Policy-Making Models in the Social Security Organization of Kerman</VernacularTitle>
    <FirstPage>1</FirstPage>
    <LastPage>8</LastPage>
    <ELocationID EIdType="doi">10.61838/kman.jrmde.4.2.3</ELocationID>
    <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>03</Month>
        <Day>10</Day>
      </PubDate>
    </History>
    <Abstract>&lt;p&gt;The aim of this study was to identify the dimensions of effective decision-making based on public policy-making models in the Social Security Organization of Kerman. This research was applied in terms of objective and used a mixed-methods design (qualitative and quantitative). In the qualitative section, inductive content analysis was conducted by reviewing ten academic management books that addressed public policy-making models such as rational, cyclical, institutional, network-based, participatory, evidence-based, top-down, bottom-up, cultural-structural, learning, stakeholder analysis, and good governance. The components and indicators of these models were identified and extracted. In the quantitative section, exploratory factor analysis was performed using questionnaire data collected from 300 employees and managers of Social Security branches, based on a 48-item Likert-scale questionnaire. Five main factors were extracted: analytical rationality, participatory network, institutional framework, executive management, and organizational learning. These factors explained 72.05% of the variance in the data. The adequacy of the data was confirmed by the KMO test result of 0.82 and Bartlett's test of sphericity (χ² = 5241.36, df = 1128). The findings indicated that these factors offer a comprehensive framework for effective decision-making that can enhance branch coordination, stakeholder engagement, legal compliance, effective policy implementation, and continuous improvement. It is recommended that future research apply confirmatory factor analysis and the Delphi method to validate the proposed model.&lt;/p&gt;</Abstract>
    <ObjectList>
      <Object Type="keyword">
        <Param Name="value">Effective decision-making</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">public policy-making</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">social security</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">analytical rationality</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">participatory network.</Param>
      </Object>
    </ObjectList>
    <ArchiveCopySource DocType="pdf">https://www.journalrmde.com/index.php/jrmde/article/download/73/72</ArchiveCopySource>
  </Article>
</ArticleSet>
