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    <identifier>10.57760/sciencedb.011tt</identifier>
    <datestamp>2026-09-09T15:21:26Z</datestamp>
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<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:date>2026-09-09</dc:date>
  <dc:title>Artificial Intelligence Capability and Disruptive Innovation: A Moderated Mediation Model &amp;mdash; Dataset for Scale Development and Hypothesis Testing</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.011tt</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>This dataset is used for the empirical study of the moderated mediation model between artificial intelligence capability and disruptive innovation, consisting of two phases. In Phase 1 (scale development), 241 valid observations were collected. SPSS was used for item analysis and exploratory factor analysis (EFA), and AMOS was used for confirmatory factor analysis (CFA) to ensure the reliability and validity of the scale. In Phase 2 (hypothesis testing), 393 valid observations were collected. SPSS was used for descriptive statistics, correlation analysis, and hypothesis testing. The data in both phases were collected through a questionnaire survey of Chinese enterprises.&amp;nbsp;</dc:description>
  <dc:subject>rtificial Intelligence Capability; Disruptive Innovation; Moderated Mediation Model; Large-Sample Validation</dc:subject>
  <dc:creator>周杞贞</dc:creator>
  <dc:rights>EMBARGO</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by-nc-nd/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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