<?xml version="1.0" encoding="UTF-8"?>
<ArticleSet>
  <Article>
    <Journal>
      <PublisherName>The Research Department of Economics and Management of Tadbir Nikan</PublisherName>
      <JournalTitle>Business, Marketing, and Finance Open</JournalTitle>
      <Issn>3092-6238</Issn>
      <Volume></Volume>
      <Issue>In Press</Issue>
      <PubDate PubStatus="epublish">
        <Year>2027</Year>
        <Month>08</Month>
        <Day>01</Day>
      </PubDate>
    </Journal>
    <ArticleTitle>The Effect of Information Transparency and Financial Oversight on Reducing Administrative Corruption in Iranian State-Owned Banks</ArticleTitle>
    <VernacularTitle>The Effect of Information Transparency and Financial Oversight on Reducing Administrative Corruption in Iranian State-Owned Banks</VernacularTitle>
    <FirstPage>1</FirstPage>
    <LastPage>21</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>
    <History>
      <PubDate PubStatus="received">
        <Year>2026</Year>
        <Month>04</Month>
        <Day>08</Day>
      </PubDate>
    </History>
    <Abstract>&lt;p&gt;This study examines the effect of information transparency and financial oversight on reducing administrative corruption in state-owned banks. The research employed a descriptive-survey design, and the statistical population consisted of managers and specialists from 15 state-owned banks. A sample of 270 participants was selected using stratified random sampling. Data were collected using a researcher-developed questionnaire whose validity was confirmed by experts and whose reliability was verified using a Cronbach’s alpha coefficient of 0.86. Data analysis was conducted using SPSS software and correlation and regression techniques. The findings indicated a positive and significant relationship between information transparency and the reduction of administrative corruption. Specifically, transparency in decision-making processes, resource allocation, and contracts had the greatest effect on corruption control. The regression analysis results showed that transparency could explain 65% of the variance in corruption reduction. Accordingly, the key recommendations include establishing transparent information systems, launching public monitoring platforms, and requiring disclosure of contract details to effectively reduce corruption in state-owned banking institutions.&lt;/p&gt;</Abstract>
    <ObjectList>
      <Object Type="keyword">
        <Param Name="value">transparency, financial oversight, participation, substantial information, accountability, secrecy</Param>
      </Object>
    </ObjectList>
    <ArchiveCopySource DocType="pdf">https://bmfopen.com/index.php/bmfopen/article/download/650/476</ArchiveCopySource>
  </Article>
</ArticleSet>
