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    <identifier>10.57760/sciencedb.j00133.00569</identifier>
    <datestamp>2026-03-06T17:19:24Z</datestamp>
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  <dc:date>2026-03-06</dc:date>
  <dc:title>Dataset on Drivers of Firm Technological Innovation Performance</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.j00133.00569</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>This dataset is constructed to support the experimental research on the driving factors of enterprise technological innovation performance from the perspective of multi-layer networks - based on the interpretable random forest model. It includes network variables, enterprise technological innovation performance measurement, and benchmark control variables. The samples corresponding to all variables were matched with multiple databases of the listed companies involved in the research process, resulting in variable matching data for 599 samples.&amp;nbsp;</dc:description>
  <dc:subject>Firm technological innovation; Multilayer networks; Machine learning</dc:subject>
  <dc:creator>Zhou Wenhao</dc:creator>
  <dc:rights>RESTRICTED</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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