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        <datestamp>2026-09-16T23:36:30Z</datestamp>
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          <dc:title>Screening, Clustering, and Article-Selection Data for: Earnings Management and Sustainability Disclosure — A Bibliometric and Systematic Literature Review</dc:title>
          <dc:creator>Manuel Soto-Pérez (24999783)</dc:creator>
          <dc:creator>Fernando Ledezma-López (24999781)</dc:creator>
          <dc:creator>Ma. Guadalupe Torres-Pulido (24999785)</dc:creator>
          <dc:subject>Financial accounting</dc:subject>
          <dc:subject>Sustainability accounting and reporting</dc:subject>
          <dc:subject>earnings management</dc:subject>
          <dc:subject>sustainability disclosure</dc:subject>
          <dc:subject>corporate social responsibility</dc:subject>
          <dc:subject>ESG</dc:subject>
          <dc:subject>bibliometric analysis</dc:subject>
          <dc:subject>systematic literature review</dc:subject>
          <dc:subject>bibliographic coupling</dc:subject>
          <dc:description>&lt;p dir="ltr"&gt;This dataset supports the manuscript "Earnings Management and Sustainability Disclosure: A Bibliometric and Systematic Literature Review" (Ledezma-López, Torres-Pulido &amp; Soto-Pérez; Cogent Business &amp; Management, Ms. No. 268787376). It contains three files documenting the screening, clustering, and article-selection stages of the review: (1) the PRISMA-style screening dataset for all 410 records identified through Scopus, with inclusion/exclusion decisions and reasons; (2) the bibliographic-coupling network of the 250 (of 303) clustered documents; and (3) the 72 documents selected for the in-depth systematic review. See the accompanying README for full documentation of each file and how they relate.&lt;/p&gt;</dc:description>
          <dc:date>2026-09-16T23:36:30Z</dc:date>
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