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<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">SSR</journal-id><journal-title-group><journal-title>Scientific and Social Research</journal-title></journal-title-group><issn>2661-4332</issn><eissn>2981-9946</eissn><publisher><publisher-name>Bio-Byword Scientific Publishing Pty. Ltd.</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.26689/ssr.v8i3.14368</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>Application Dimensions and Challenge Responses of Intelligent Customer Service in Cross-border E-commerce from the Perspective of Human-Machine Collaboration</title><url>https://artdesignp.com/journal/SSR/8/3/10.26689/ssr.v8i3.14368</url><author>ZhangXiao,LouJie,ChenHang</author><pub-date pub-type="publication-year"><year>2026</year></pub-date><volume>8</volume><issue>3</issue><history><date date-type="pub"><published-time>2026-04-15</published-time></date></history><abstract>The penetration rate of AI customer service in the cross-border e-commerce sector has been rising steadily. Evolving from simple early Q&amp;amp;A robots, it is now capable of intelligent Q&amp;amp;A and automated processing, real-time multilingual translation and cultural adaptation, as well as customer behavior and emotional analysis. AI and human customer service are not in a substitutive relationship but a collaborative and symbiotic one. The application of AI customer service in cross-border e-commerce is a continuous optimization process, which requires constant improvement in AI’s natural language understanding, regular update and refinement of the knowledge base, enhancement of AI’s capabilities in emotional recognition and personalized service, clear definition of the boundary and transfer mechanism of human-machine collaboration, and at the same time, promotion of system integration and data interconnection and sharing.</abstract><keywords/></article-meta></front><body/><back><ref-list><ref id="B1" content-type="article"><label>1</label><element-citation publication-type="journal"><p>Wu W, Xiang D, Li Y, 2023, Research on the Influencing Factors of Continuous Usage Intention of Intelligent Customer Service in E-Commerce Context. Journal of Chongqing University of Technology (Social Science), 37(3): 36–51.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B2" content-type="article"><label>2</label><element-citation publication-type="journal"><p>Chen SB, 2025, Research on Users’ Continuous Trust in AI Customer Service in the Context of Communication and Interaction Failure: From the Perspective of Attribution Theory. Modern Communication (Journal of Communication University of China), 47(3): 150–158.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B3" content-type="article"><label>3</label><element-citation publication-type="journal"><p>Davenport T, Guha A, Grewal D, et al., 2020, How Artificial Intelligence will Change the Future of Marketing. Journal of the Academy of Marketing Science, 2020(48): 24–42.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B4" content-type="article"><label>4</label><element-citation publication-type="journal"><p>Song SY, Wang C, Chen CL, et al., 2020, Affective Analysis Technology for Intelligent Customer Service Systems. Journal of Chinese Information Processing, 34(2): 80–95.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B5" content-type="article"><label>5</label><element-citation publication-type="journal"><p>Zhang P, Ma J, Dong S Z, et al., 2023, Human or Intelligent? The Choice of Online Customer Service Strategy in E-commerce in the AI Era. Management Review, 35(11): 166–178.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B6" content-type="article"><label>6</label><element-citation publication-type="journal"><p>Mariani MM, Borghi M, 2024, Artificial Intelligence in Service Industries: Customers’ Assessment of Service Production and Resilient Service Operations. International Journal of Production Research, 62(15): 5400–5416.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B7" content-type="article"><label>7</label><element-citation publication-type="journal"><p>Liu Y, 2024, The Impact of Artificial Intelligence Customer Service on Consumers’ Online Purchase Intention — Based on the Mediating Perspective of Consumption Experience. Journal of Commercial Economics, 2024(13): 73–76.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B8" content-type="article"><label>8</label><element-citation publication-type="journal"><p>Zhu GW, Gao WL, Liu JH, et al., 2021, Artificial Intelligence Marketing: A Literature Review and Future Research Directions. Foreign Economics &amp; Management, 43(7): 86–96.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B9" content-type="article"><label>9</label><element-citation publication-type="journal"><p>Pan WJ, Zheng KY, 2024, AI and Humans in Persuasion: A Comparative Study on the Performance of Personalization and Product Type in Different Subjects. Contemporary Communication, 2024(6): 74–80.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B10" content-type="article"><label>10</label><element-citation publication-type="journal"><p>Li XL, Gu YC, Liu Y, 2022, Research on the Impact of “Intelligent Customer Service-customer Interaction” on Brand Co-creation Intention. Price: Theory &amp; Practice, 2022(8): 128–131.</p><pub-id pub-id-type="doi"/></element-citation></ref></ref-list></back></article>
