<?xml version="1.0" encoding="UTF-8"?>
<ArticleSet>
  <Article>
    <Journal>
      <PublisherName></PublisherName>
      <JournalTitle>Digital Transformation and Administration Innovation</JournalTitle>
      <Issn></Issn>
      <Volume>2</Volume>
      <Issue>Serial Number 5</Issue>
      <PubDate PubStatus="epublish">
        <Year>2024</Year>
        <Month>09</Month>
        <Day>01</Day>
      </PubDate>
    </Journal>
    <ArticleTitle>Designing a Business Model for AI-Based Service-Oriented Enterprises Using a Foresight Approach</ArticleTitle>
    <VernacularTitle>Designing a Business Model for AI-Based Service-Oriented Enterprises Using a Foresight Approach</VernacularTitle>
    <FirstPage>150</FirstPage>
    <LastPage>159</LastPage>
    <ELocationID EIdType="doi">10.61838/dtai.2.3.15</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>
      <Author>
        <FirstName></FirstName>
        <LastName></LastName>
        <Affiliation></Affiliation>
      </Author>
    </AuthorList>
    <PublicationType>Journal Article</PublicationType>
    <History>
      <PubDate PubStatus="received">
        <Year>2024</Year>
        <Month>04</Month>
        <Day>16</Day>
      </PubDate>
    </History>
    <Abstract>&lt;p class="Abstract"&gt;&lt;span style="font-family: 'Palatino Linotype',serif;"&gt;The present study was conducted with the aim of examining service-oriented business models based on artificial intelligence (AI) using a foresight approach. This research is qualitative, exploratory in nature, and grounded in grounded theory methodology, conducted according to the Strauss and Corbin approach (1998). Data were collected through semi-structured interviews with 15 experts from industry, academia, and technology institutions and were analyzed using open, axial, and selective coding. As a result, 22 conceptual categories were identified across six main dimensions: causal conditions, contextual conditions, intervening factors, core phenomenon, strategies, and consequences. The core category was identified as “Designing a Business Model for AI-Based Service-Oriented Enterprises Using a Foresight Approach.” According to the findings, factors such as weak technological infrastructure, cultural resistance, insufficient specialized training in the AI domain, and a lack of supportive policies were among the key barriers to the implementation of this model. On the other hand, strategies such as the intelligent automation of processes, formulation of modern standards, and the development of employees’ digital skills were introduced as key enablers for the realization of the model. The consequences of implementing this model include enhanced productivity, improved product quality, and the advancement of service-oriented businesses. By presenting a localized and data-driven model, this study can serve as a strategic framework for guiding industrial managers, policymakers, and educational centers in the path toward digital transformation and the development of AI-based service-oriented businesses.&lt;/span&gt;&lt;/p&gt;</Abstract>
    <ObjectList>
      <Object Type="keyword">
        <Param Name="value">Service-oriented businesses</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Artificial Intelligence</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Foresight approach</Param>
      </Object>
    </ObjectList>
    <ArchiveCopySource DocType="pdf">https://www.journaldtai.com/index.php/jdtai/article/download/151/133</ArchiveCopySource>
  </Article>
</ArticleSet>
