<?xml version="1.0" encoding="UTF-8"?>
<ArticleSet>
  <Article>
    <Journal>
      <PublisherName>KMAN Publication Inc.</PublisherName>
      <JournalTitle>AI and Tech in Behavioral and Social Sciences</JournalTitle>
      <Issn></Issn>
      <Volume></Volume>
      <Issue>In Press</Issue>
      <PubDate PubStatus="epublish">
        <Year>2026</Year>
        <Month>11</Month>
        <Day>04</Day>
      </PubDate>
    </Journal>
    <ArticleTitle>A Qualitative Framework for Customer Knowledge Management Maturity in Electronic Services of the Tehran Province Construction Engineering Organization</ArticleTitle>
    <VernacularTitle>A Qualitative Framework for Customer Knowledge Management Maturity in Electronic Services of the Tehran Province Construction Engineering Organization</VernacularTitle>
    <FirstPage></FirstPage>
    <LastPage></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>
    </AuthorList>
    <PublicationType>Journal Article</PublicationType>
    <Abstract>&lt;p&gt;This study explored dimensions of customer knowledge management maturity in the electronic services of the Tehran Province Construction Engineering Organization, with attention to practicing engineers, and developed a preliminary framework for future expert-system development. The study used an exploratory qualitative design. Twenty purposively selected participants were interviewed using semi-structured questions, and the transcripts were analyzed thematically with MAXQDA. The analysis identified eight dimensions: acquiring and extracting customer knowledge; creating and sharing knowledge; storing and organizing knowledge; applying knowledge; technology and data infrastructure; organizational and managerial capabilities; customer participation and interaction; and a knowledge-oriented culture. These dimensions were organized into four knowledge processes and four enabling conditions. A five-level maturity structure and a conceptual architecture for a future assessment system are proposed. The study does not establish validated scoring thresholds, dimension weights, an implemented inference engine, or demonstrated assessment accuracy. The framework provides a basis for subsequent indicator development and validation rather than a ready-to-use maturity assessment instrument. Its contribution lies in organizing customer knowledge processes and their enabling conditions within the selected organizational context; its distinctiveness and practical utility require further empirical evaluation.&lt;/p&gt;</Abstract>
    <ObjectList>
      <Object Type="keyword">
        <Param Name="value">Customer Knowledge Management; Maturity Framework; Electronic Services; Construction Engineering Organization; Practicing Engineers; Thematic Analysis</Param>
      </Object>
    </ObjectList>
    <ArchiveCopySource DocType="pdf"></ArchiveCopySource>
  </Article>
</ArticleSet>
