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  <titleInfo>
    <title>Research Handbook on Public Management and Artificial Intelligence</title>
    <subTitle>Handbook</subTitle>
  </titleInfo>
  <name type="personal">
    <namePart>Yannis Charalabidis</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Rony Medaglia</namePart>
  </name>
  <name type="personal">
    <namePart>Van Noordt, Colin</namePart>
  </name>
  <typeOfResource>text</typeOfResource>
  <originInfo>
    <place>
      <placeTerm type="text">UK</placeTerm>
    </place>
    <publisher>Edward Elgar publishing</publisher>
    <dateIssued>2024</dateIssued>
    <issuance>monographic</issuance>
  </originInfo>
  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
  </language>
  <physicalDescription>
    <form authority="marcform">print</form>
    <extent>283 pages</extent>
  </physicalDescription>
  <abstract>This pioneering Research Handbook on Public Management and Artificial Intelligence provides a comprehensive overview of the potentials, challenges, and governance principles of AI in a public management context. Multidisciplinary in approach, it draws on a variety of jurisdictional perspectives and expertly analyses key topics relating to this socio-technical phenomenon.
Showcasing contributions by a collection of eminent scholars from across the globe, this Research Handbook presents cutting-edge research on AI in public management. Organised into three parts corresponding with distinct foci of research, it explores the adoption and implementation of AI in public management settings, presents specific case studies and examples of AI in the public sector, and outlines future trends and directions in the evolution of AI adoption and use in public management.</abstract>
  <subject authority="lcsh">
    <topic>Management</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Public administration</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Artificial Intelligence</topic>
  </subject>
  <classification authority="udc">351:004.8</classification>
  <identifier type="isbn">9781802207330</identifier>
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    <recordCreationDate encoding="marc">260918</recordCreationDate>
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