<?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">PBES</journal-id><journal-title-group><journal-title>Proceedings of Business and Economic Studies</journal-title></journal-title-group><issn>2209-2641</issn><eissn>2209-265X</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/PBES.v9i9.15622</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>Data-Driven Analysis of Cross-Border E-Commerce Dispute Appeal Failures and User Emotions: A Case Study of Platform S</title><url>https://artdesignp.com/journal/PBES/9/9/10.26689/PBES.v9i9.15622</url><author>ZhangXinyu,DingQingyang</author><pub-date pub-type="publication-year"><year>2026</year></pub-date><volume>9</volume><issue>9</issue><history><date date-type="pub"><published-time>2026-09-30</published-time></date></history><abstract>As cross-border e-commerce expands, transaction disputes and inefficiencies in appeal handling have become major concerns affecting platform ecosystems and merchants&amp;rsquo; business confidence. This study examines Platform S using 10,576 actual dispute appeal records from January to November 2025. Python-based tools are used for descriptive statistics, multidimensional cross-tabulation, and text classification to identify the reasons for seller appeal failures and their distribution patterns. The analysis also examines the association between appeal outcomes and seller sentiment. The findings show an overall seller appeal failure rate of 79%. &amp;ldquo;Logistics and Delivery Receipt Issues&amp;rdquo; and &amp;ldquo;Products Not as Described&amp;rdquo; are the leading reasons, together accounting for more than 51% of failures. This indicates that information asymmetry and fulfillment uncertainty in cross-border transactions are closely associated with appeal outcomes. &amp;ldquo;Seller Procedural and Evidence Issues&amp;rdquo; are also common, reflecting weaknesses in procedural compliance and evidence management. Sentiment analysis further reveals markedly negative sentiment in notes from sellers whose appeals failed. Frequent complaints include &amp;ldquo;I cannot understand the rules&amp;rdquo; and &amp;ldquo;The platform favors buyers.&amp;rdquo; These findings indicate that appeal failures not only stem from factual disputes but also undermine users&amp;rsquo; trust in platform fairness. Based on these findings, the study proposes improvements in four areas: guidance on platform rules, user segmentation, operational procedures, and platform rule design. These recommendations aim to help sellers improve appeal success rates and provide a basis for data-informed decisions to strengthen platform dispute handling and governance efficiency.</abstract><keywords>Cross-border e-commerce, Dispute appeals, Platform S, Information asymmetry, Platform governance</keywords></article-meta></front><body/><back><ref-list><ref id="B1" content-type="article"><label>1</label><element-citation publication-type="journal"><p>[1] Katsh E, Rifkin J, 2001, Online Dispute Resolution: Resolving Conflicts in Cyberspace. Jossey-Bass.
[2] Rule C, 2002, Online Dispute Resolution for Business: B2B, E-Commerce, Consumer, Employment, Insurance, and Other Commercial Conflicts. Jossey-Bass.
[3] Kaufmann-Kohler G, Schultz T, 2004, Online Dispute Resolution: Challenges for Contemporary Justice. Kluwer Law International.
[4] Goodman JW, 2003, The Pros and Cons of Online Dispute Resolution: An Assessment of Cyber-Mediation Websites. Duke Law &amp;amp; Technology Review, 2(1).
[5] Abdel Wahab MS, Katsh E, Rainey D, (Eds.), 2012, Online Dispute Resolution: Theory and Practice. Eleven International Publishing.
[6] Katsh E, Rabinovich-Einy O, 2017, Digital Justice: Technology and the Internet of Disputes. Oxford University Press.
[7] Katsh E, Rule C, 2016, What We Know and Need to Know About Online Dispute Resolution. South Carolina Law Review, 67(2): 329&amp;ndash;344.
[8] Parker GG, Van Alstyne MW, Choudary SP, 2016, Platform Revolution. W. W. Norton.
[9] Lind EA, Tyler TR, 1988, The Social Psychology of Procedural Justice. Plenum Press.
[10] Colquitt JA, 2001, On the Dimensionality of Organizational Justice: A Construct Validation of a Measure. Journal of Applied Psychology, 86(3): 386&amp;ndash;400.
[11] Liu Y, Wan Y, 2023, Consumer Satisfaction with the Online Dispute Resolution on a Second-Hand Goods-Trading Platform. Sustainability, 15(4): 3182.
[12] Pang B, Lee L, 2008, Opinion Mining and Sentiment Analysis. Foundations and Trends in Information Retrieval, 2(1&amp;ndash;2): 1&amp;ndash;135.
[13] Katsh E, Rifkin J, 2001, Online Dispute Resolution: Resolving Conflicts in Cyberspace. Jossey-Bass.
[14] Akerlof GA, 1970, The Market for &amp;ldquo;Lemons&amp;rdquo;: Quality Uncertainty and the Market Mechanism. The Quarterly Journal of Economics, 84(3): 488&amp;ndash;500.
[15] Pandey S, Mittal S, Chawla D, 2024, Tackling Consumer Information Asymmetry and Perceived Uncertainty for Luxury Re-Commerce Through Seller Signals. Journal of Retailing and Consumer Services, 79: 103736.
[16] Davenport TH, Short JE, 1990, The New Industrial Engineering: Information Technology and Business Process Redesign. Sloan Management Review, 31(4): 11&amp;ndash;27.
[17] Teixeira AR, Ferreira JV, Ramos AL, 2024, Optimization of Business Processes through BPM Methodology: A Case Study on Data Analysis and Performance Improvement. Information, 15(11): 724.</p><pub-id pub-id-type="doi"/></element-citation></ref></ref-list></back></article>
