<?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 12</Issue>
      <PubDate PubStatus="epublish">
        <Year>2026</Year>
        <Month>03</Month>
        <Day>01</Day>
      </PubDate>
    </Journal>
    <ArticleTitle>Structural Equation Modeling of Service Quality in Tejarat Bank</ArticleTitle>
    <VernacularTitle>Structural Equation Modeling of Service Quality in Tejarat Bank</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>11</Month>
        <Day>11</Day>
      </PubDate>
    </History>
    <Abstract>&lt;p&gt;The present study was conducted with the aim of modeling the structural equations of service quality in Tejarat Bank. This research is quantitative and applied in nature. The participants consisted of 393 managers of online commercial companies in the country, who were selected through random sampling. The data collection instrument was a questionnaire derived from qualitative findings. For data analysis, in addition to examining the demographic characteristics of the participants, structural equation modeling was employed using SmartPLS software version 3.1.1. The results indicated that the research model demonstrated a good fit, and all indicators—including the quality of human interactions (p = 0.007; t = 4.129), the quality of processes and operations (p = 0.001; t = 4.759), the quality of digital services (p = 0.004; t = 4.501), the quality of communication and information dissemination (p = 0.006; t = 4.905), the quality of perceived value (p = 0.001; t = 3.850), and the quality of the organizational environment and structure (p = 0.001; t = 5.528)—had a positive and statistically significant relationship with service quality in the banking industry. Therefore, focusing on different dimensions of service delivery leads to an overall improvement in service quality within the banking sector and significantly enhances customer satisfaction.&lt;/p&gt;</Abstract>
    <ObjectList>
      <Object Type="keyword">
        <Param Name="value">Services</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Total Quality</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Banking</Param>
      </Object>
    </ObjectList>
    <ArchiveCopySource DocType="pdf">https://www.journalfwdmj.com/index.php/fwdmj/article/download/235/244</ArchiveCopySource>
  </Article>
</ArticleSet>
