<?xml version="1.0" encoding="UTF-8"?>

<?xml-stylesheet type="text/xsl" href="/static/oaitohtml.xsl"?>

<!--
<?xml-stylesheet type="text/xsl" href="/oaitohtml.xsl"?>
-->

<OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
    <responseDate>2026-10-12T22:24:24Z</responseDate>
    <request verb="GetRecord" metadataPrefix="oai_dc" identifier="10.57760/sciencedb.27624" >https://www.scidb.cn/oai</request>
<GetRecord>
    <record>
    <header >
    <identifier>10.57760/sciencedb.27624</identifier>
    <datestamp>2026-05-26T14:14:43Z</datestamp>
</header>
    <metadata>
        
<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>2026-05-26</dc:date>
  <dc:title>Gender-Adaptive Algorithmic Management Practices</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.27624</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>This dataset contains video-based experimental materials designed to manipulate Gender-Adaptive Algorithmic Management Practices in platform work settings. The materials simulate platform rule announcements across four functional dimensions of algorithmic management: task matching, directional guidance, performance evaluation, and disciplinary regulation.The high-adaptation condition emphasizes contextual responsiveness to female delivery riders&amp;rsquo; physical capacity, safety risks, caregiving responsibilities, and physiological considerations. It incorporates adaptive matching mechanisms, safety support features, evaluation flexibility, and disciplinary buffering measures.The low-adaptation condition reflects a standardized and uniform control logic, prioritizing efficiency and consistency without incorporating gender-based contextual considerations.The materials were developed through expert validation and pilot testing to ensure construct validity. This dataset supports research on algorithmic management, gig work, gender and organizational behavior.</dc:description>
  <dc:subject>Algorithmic Management ; Gig Work ; Female Delivery Riders</dc:subject>
  <dc:creator>Zhang Zhipeng</dc:creator>
  <dc:rights>PUBLIC</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>
</oai_dc:dc>

    </metadata>
</record>
</GetRecord>
</OAI-PMH>