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    <identifier>10.57760/sciencedb.33536</identifier>
    <datestamp>2025-12-17T16:38:44Z</datestamp>
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  <dc:date>2025-12-17</dc:date>
  <dc:title>Datasets for the experiment outcome of simulating 6 community-based tourism stakeholders surrounding the theme of AI-Empowerment</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.33536</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>The experiment focused on simulating the dynamics of six community-based tourism stakeholders through the lens of AI-empowerment. These stakeholders included local residents, tour operators, government bodies, environmental activists, cultural heritage custodians, and tourists themselves. The datasets collected detailed their interactions, decision-making processes, and responses to AI-driven initiatives aimed at enhancing sustainable tourism. The results revealed how AI could bridge communication gaps, optimize resource allocation, and foster collaborative efforts among these diverse groups, ultimately leading to more inclusive and sustainable community tourism practices.</dc:description>
  <dc:subject>AI-Empowerment; community-based tourism; stakeholders</dc:subject>
  <dc:creator>Jinsheng Jason Zhu</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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