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    <identifier>10.57760/sciencedb.39168</identifier>
    <datestamp>2026-06-16T09:23:47Z</datestamp>
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  <dc:date>2026-06-16</dc:date>
  <dc:title>Qualitative Coding Dataset on Human&amp;ndash;AI Teaming in Front-End Innovation Management</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.39168</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>This dataset contains the coding structure used in a qualitative, scenario-based study on Human&amp;ndash;AI Teaming in front-end innovation management. It includes four themes, related subthemes, and anonymized illustrative data extracts from interviews with innovation managers and AI experts. The dataset supports the analysis of role and task allocation between humans, LLM-based agents, and LIM-based agents across innovation phases.</dc:description>
  <dc:subject>Human–AI Teaming; Front-End Innovation Management; Qualitative Coding; AI Agents; Double Diamond; Role Allocation; Task Allocation; LLM; LIM</dc:subject>
  <dc:creator>Leonie Reichardt</dc:creator>
  <dc:rights>RESTRICTED</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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