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  <titleInfo>
    <title>Artificial intelligence and project management: Empirical overview, state of the art, and guidelines for future research</title>
  </titleInfo>
  <name type="personal">
    <namePart>Müller, Ralf et al</namePart>
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      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
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  </name>
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  <originInfo>
    <place>
      <placeTerm type="text">Project Management Journal</placeTerm>
    </place>
    <issuance>monographic</issuance>
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  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
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  <physicalDescription>
    <form authority="marcform">print</form>
    <extent>55(1), Feb, 2024: p. 9-15</extent>
  </physicalDescription>
  <abstract>Desk rejections of artificial intelligence (AI)–related submissions to the Project Management Journal® (PMJ) are high. This article provides an overview and state-of-the-art snapshot on academic and practitioner work to derive at potential future research topics and guidelines on the execution and reporting of AI-related studies in project management.- Reproduced 

https://journals.sagepub.com/doi/full/10.1177/87569728231225198#tab-contributors
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      <namePart>Project Management Journal </namePart>
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