<?xml version="1.0" encoding="UTF-8"?>
<ArticleSet>
  <Article>
    <Journal>
      <PublisherName></PublisherName>
      <JournalTitle>Journal of Resource Management and Decision Engineering</JournalTitle>
      <Issn></Issn>
      <Volume>4</Volume>
      <Issue>Serial Number 12</Issue>
      <PubDate PubStatus="epublish">
        <Year>2025</Year>
        <Month>09</Month>
        <Day>05</Day>
      </PubDate>
    </Journal>
    <ArticleTitle>Designing the Optimal Model for Green Management of the National Super League Sports Events</ArticleTitle>
    <VernacularTitle>Designing the Optimal Model for Green Management of the National Super League Sports Events</VernacularTitle>
    <FirstPage>1</FirstPage>
    <LastPage>12</LastPage>
    <ELocationID EIdType="doi">10.61838/kman.jrmde.122</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>
    </AuthorList>
    <PublicationType>Journal Article</PublicationType>
    <History>
      <PubDate PubStatus="received">
        <Year>2025</Year>
        <Month>05</Month>
        <Day>11</Day>
      </PubDate>
    </History>
    <Abstract>&lt;p&gt;The environmental consequences of hosting and organizing sports events attended by large audiences have become one of the major concerns for event organizers. Therefore, the aim of this study was to design an optimal model for green management of the national Super League sports events. The present research employed an exploratory mixed-methods design (qualitative–quantitative). The qualitative population consisted of knowledgeable experts in the research field, including environmental specialists, university faculty members, managers of sports venues and facilities, contractors and engineers involved in the design and construction of sports facilities, and managers of civil engineering units in the General Directorates of Sports and Youth engaged in the construction and equipping of sports venues. Participants were selected using the snowball sampling method. The quantitative population included spectators, operational and headquarters managers of the league organization, personnel of the municipal transportation fleet, and human resources engaged in sports event operations. The research instrument was a questionnaire developed from the qualitative phase of the study. Data analysis was performed using SPSS and Smart PLS statistical software (P ≤ 0.05). The results indicated that 15 axial codes, categorized into four variables—green management of sports stadiums, transportation system management, energy resource management, and environmental management—significantly explained green management of sports events. Moreover, the variable of energy resource management had the highest path coefficient. Accordingly, it is recommended that league organization managers and executive managers of sports federations reduce the environmental challenges of sports events to the lowest possible level by establishing a green management portal, implementing green management indicators, and employing managers knowledgeable and familiar with green facilities in the management of sports venues.&lt;/p&gt;</Abstract>
    <ArchiveCopySource DocType="pdf">https://journalrmde.com/index.php/jrmde/article/download/122/127</ArchiveCopySource>
  </Article>
</ArticleSet>
