<?xml version="1.1" encoding="utf-8"?>
<article xsi:noNamespaceSchemaLocation="http://jats.nlm.nih.gov/publishing/1.1/xsd/JATS-journalpublishing1-mathml3.xsd" dtd-version="1.1" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><front><journal-meta><journal-id journal-id-type="publisher-id">EIR</journal-id><journal-title-group><journal-title>Educational Innovation Research</journal-title></journal-title-group><issn>3029-1844</issn><eissn>3029-1852</eissn><publisher><publisher-name>Bio-Byword Scientific Publishing Pty. Ltd.</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.18063/EIR.v3i8.954</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>Opportunities and Challenges Faced by Small and Medium-Sized Enterprises in Xinjiang's International Trade under the Background of Big Data</title><url>https://artdesignp.com/journal/EIR/3/8/10.18063/EIR.v3i8.954</url><author>WangYan</author><pub-date pub-type="publication-year"><year>2025</year></pub-date><volume>3</volume><issue>8</issue><history><date date-type="pub"><published-time>2025-09-26</published-time></date></history><abstract>This paper learn the effect of large data on the global commerce development of small and average-small firm in Xinjiang in the circumstances of large data. Big data can help businesses address global business risks. However, in the application of large data, small and average-small firm in Xinjiang still have prominent problems. This paper proposes countermeasures and suggestions aimed at promoting small and medium-sized enterprises in Xinjiang to enhance their management capabilities through digital empowerment, thereby achieving transformation, upgrading, and sustainable development.</abstract><keywords>small and average-small firm in Xinjiang, global commerce, digital transformation</keywords></article-meta></front><body/><back><ref-list><ref id="B1" content-type="article"><label>1</label><element-citation publication-type="journal"><p>[1] Chen M, Mao S, Liu Y, 2014, large Data: A Survey. Mobile Networks and Applications, (02):&amp;nbsp;
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