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  <identifier identifierType="DOI">10.18453/rosdok_id00004602</identifier>
  <creators>
    <creator>
      <creatorName nameType="Personal">Lambusch, Fabienne</creatorName>
      <givenName>Fabienne</givenName>
      <familyName>Lambusch</familyName>
      <nameIdentifier nameIdentifierScheme="GND" schemeURI="http://d-nb.info/gnd/">http://d-nb.info/gnd/1138888931</nameIdentifier>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="https://orcid.org/">https://orcid.org/0000-0002-0303-1430</nameIdentifier>
    </creator>
  </creators>
  <titles>
    <title>IT-supported occupational self-management to promote sustainable productivity and psychological well-being</title>
  </titles>
  <publisher>Universität Rostock</publisher>
  <publicationYear>2023</publicationYear>
  <resourceType resourceTypeGeneral="Text" />
  <subjects>
    <subject xml:lang="en" schemeURI="http://dewey.info/" subjectScheme="dewey">004 Data processing Computer sciences</subject>
    <subject xml:lang="en" schemeURI="http://dewey.info/" subjectScheme="dewey">330 Economics</subject>
  </subjects>
  <dates>
    <date dateType="Created">2023</date>
  </dates>
  <language>en</language>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="PURL">https://purl.uni-rostock.de/rosdok/id00004602</alternateIdentifier>
    <alternateIdentifier alternateIdentifierType="URN">urn:nbn:de:gbv:28-rosdok_id00004602-6</alternateIdentifier>
  </alternateIdentifiers>
  <descriptions>
    <description descriptionType="Abstract">Effective self-management is crucial for a workforce with high levels of self-responsibility. Digital solutions enable highly scalable yet personalized support in everyday life. In particular, mobile devices and sensors enable new forms of individual tracking and personalized feedback. This dissertation investigates how technology can promote healthy and productive self-management. It explores the design space relevant for engineering occupational self-management assistance and showcases application areas. Especially, the support in managing personal energy as a key variable is demonstrated.</description>
  </descriptions>
</resource>
