<?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>30</Day>
      </PubDate>
    </Journal>
    <ArticleTitle>Designing a Strategic Human Resource Planning Model Based on Artificial Intelligence Development</ArticleTitle>
    <VernacularTitle>Designing a Strategic Human Resource Planning Model Based on Artificial Intelligence Development</VernacularTitle>
    <FirstPage>32</FirstPage>
    <LastPage>41</LastPage>
    <ELocationID EIdType="doi">10.61838/dtai.2.3.5</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>07</Month>
        <Day>10</Day>
      </PubDate>
    </History>
    <Abstract>&lt;p class="Abstract"&gt;The present study aims to design a strategic human resource planning model based on the development of artificial intelligence. This research is applied in terms of its objective, survey-descriptive in terms of method, and qualitative in terms of research type. The statistical population of the study consisted of academic experts in the fields of human resources, computer science and artificial intelligence, information systems, and managers of advertising companies in Iraq. The research sample was selected based on the principle of theoretical saturation using purposive (judgmental) sampling from among the experts. Data analysis was conducted using thematic analysis with the MAXQDA software. The qualitative findings of the study indicate that the proposed model comprises five dimensions: developing organizational culture, attracting and retaining AI-related talents, designing artificial intelligence systems to enhance human resource processes, data analysis and forecasting, and training and development. The study's findings suggest that AI-driven training programs aimed at enhancing employee skills can be designed online and adapted to real work conditions, enabling employees to acquire new skills effectively.&lt;/p&gt;</Abstract>
    <ObjectList>
      <Object Type="keyword">
        <Param Name="value">Strategic Planning</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Human Resources </Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Artificial Intelligence Development </Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Advertising Companies </Param>
      </Object>
    </ObjectList>
    <ArchiveCopySource DocType="pdf">https://journaldtai.com/index.php/jdtai/article/download/70/67</ArchiveCopySource>
  </Article>
</ArticleSet>
