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  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">14</journal-id>
      <journal-title-group>
        <journal-title>《商业》</journal-title>
        <abbrev-journal-title>Shang Ye</abbrev-journal-title>
      </journal-title-group>
      <issn>ISSN:2810-9678</issn>
      <publisher>
        <publisher-name>华文科学出版社</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.12421/sy2810-9678-202502132</article-id>
      <article-id pub-id-type="publisher-id">13157</article-id>
      <title-group>
        <article-title>Optimization strategies of enterprise human resource performance management based on big data background</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Jiao Xiuzhuang Shandong Taixue Cultural Development Co.</string-name>
        </contrib>
        <contrib contrib-type="author">
          <string-name>LTD</string-name>
        </contrib>
      </contrib-group>
      <pub-date pub-type="epub">
        <year>2025</year>
        <month>2</month>
      </pub-date>
      <issue>2</issue>
      <abstract>
        <p>"Big data technology promotes the high-quality development of the social economy and promotes the
transformation of enterprises to digital and intelligent. Enterprises need to keep up with the times, use big data to improve
their management level, and ensure their competitiveness. This paper discusses the importance and current situation of
enterprise human resource performance management in the era of big data and puts forward optimization strategies, aiming
to improve the level of performance management and make the development of enterprises more adapted to the era of big
data."</p>
      </abstract>
    </article-meta>
  </front>
</article>
