<?xml version="1.0" encoding="UTF-8"?>
<ArticleSet>
  <Article>
    <Journal>
      <PublisherName></PublisherName>
      <JournalTitle>عنوان مجله</JournalTitle>
      <Issn></Issn>
      <Volume>3</Volume>
      <Issue>Serial Number 10</Issue>
      <PubDate PubStatus="epublish">
        <Year>2026</Year>
        <Month>03</Month>
        <Day>01</Day>
      </PubDate>
    </Journal>
    <ArticleTitle>From Bureaucracy to Digital Ecosystems: Reviewing the Evolutionary Trajectory of Organizational Leadership Models</ArticleTitle>
    <VernacularTitle>From Bureaucracy to Digital Ecosystems: Reviewing the Evolutionary Trajectory of Organizational Leadership Models</VernacularTitle>
    <FirstPage>31</FirstPage>
    <LastPage>39</LastPage>
    <Language>EN</Language>
    <AuthorList>
      <Author>
        <FirstName></FirstName>
        <LastName></LastName>
        <Affiliation></Affiliation>
      </Author>
    </AuthorList>
    <PublicationType>Journal Article</PublicationType>
    <Abstract>&lt;p&gt;This study aimed to explain how organizational leadership models have evolved from bureaucratic control systems toward digitally enabled ecosystem-oriented forms of leadership. This qualitative study was conducted using semi-structured interviews with 24 participants selected through purposive sampling from managers, organizational development specialists, digital transformation experts, and management consultants in Tehran. Data collection continued until theoretical saturation was achieved. The interviews focused on participants’ experiences of leadership change, organizational hierarchy, digital transformation, network-based collaboration, and ecosystem governance. All interviews were transcribed verbatim and analyzed through thematic analysis using NVivo software. Open coding, axial categorization, constant comparison, memo writing, and peer review were applied to enhance analytical rigor. The analysis generated five main categories describing the evolutionary trajectory of leadership models: rule-based bureaucratic leadership, participative and transformational transition, distributed and networked leadership, data-driven digital leadership, and ecosystem orchestration leadership. Participants described bureaucracy as a necessary historical model for coordination, accountability, and procedural order, but emphasized that digital environments reduce the effectiveness of centralized authority. The findings showed that leadership is increasingly shifting from command, supervision, and formal position toward facilitation, sensemaking, knowledge integration, platform coordination, and boundary-spanning collaboration. Digital ecosystems require leaders who can manage interdependence, enable trust, interpret data ethically, and coordinate actors beyond formal organizational boundaries. The study concludes that the evolution of leadership is not a simple replacement of old models by new ones, but a cumulative transformation in which bureaucratic control, transformational influence, distributed agency, digital coordination, and ecosystem orchestration coexist. Future leadership models should therefore be designed as adaptive, hybrid, and relational systems capable of operating across organizational, technological, and institutional boundaries.&lt;/p&gt;</Abstract>
    <ObjectList>
      <Object Type="keyword">
        <Param Name="value">Bureaucracy</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">digital ecosystems</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">organizational leadership</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">digital transformation</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">distributed leadership</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">ecosystem orchestration</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">qualitative research</Param>
      </Object>
    </ObjectList>
    <ArchiveCopySource DocType="pdf">https://www.msels.com/index.php/msels/article/download/70/61</ArchiveCopySource>
  </Article>
</ArticleSet>
