<?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 13</Issue>
      <PubDate PubStatus="epublish">
        <Year>2025</Year>
        <Month>10</Month>
        <Day>02</Day>
      </PubDate>
    </Journal>
    <ArticleTitle>Factors Affecting Foresight of Emerging Technologies in the Power Plant Industry: A Case Study of Gas Turbines</ArticleTitle>
    <VernacularTitle>Factors Affecting Foresight of Emerging Technologies in the Power Plant Industry: A Case Study of Gas Turbines</VernacularTitle>
    <FirstPage>1</FirstPage>
    <LastPage>11</LastPage>
    <ELocationID EIdType="doi">10.61838/kman.jrmde.140</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>21</Day>
      </PubDate>
    </History>
    <Abstract>&lt;p class="Abstract"&gt;&lt;span lang="EN-GB"&gt;The main objective of this study was to identify the factors influencing foresight of emerging technologies in the power plant industry. The research method was survey-based, descriptive, and exploratory, and it employed a qualitative approach. The statistical population of this study consisted of experts from the TUGA company, active in the gas turbine industry. The sample size was determined as 16 individuals at the point of theoretical saturation. In this research, interviews were used as the primary tool for identifying the factors. Moreover, qualitative coding and factor identification were conducted using MAXQDA software and the directed content analysis method. Ultimately, after three stages of coding, 46 concepts were extracted and categorized into four main components: technological factors, socio-economic factors, future-oriented components, and stakeholders. Therefore, it can be stated that for any type of planning and foresight in specialized domains related to these factors, the identified indicators can be utilized to advance the foresight of emerging technologies in the gas turbine industry.&lt;/span&gt;&lt;/p&gt;</Abstract>
    <ObjectList>
      <Object Type="keyword">
        <Param Name="value">foresight</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">influencing factors</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">emerging technology</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">gas turbine</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">power plant industry</Param>
      </Object>
    </ObjectList>
    <ArchiveCopySource DocType="pdf">https://www.journalrmde.com/index.php/jrmde/article/download/140/129</ArchiveCopySource>
  </Article>
</ArticleSet>
