{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,1]],"date-time":"2026-03-01T12:05:12Z","timestamp":1772366712863,"version":"3.50.1"},"reference-count":47,"publisher":"MDPI AG","issue":"3","license":[{"start":{"date-parts":[[2025,7,3]],"date-time":"2025-07-03T00:00:00Z","timestamp":1751500800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Characteristics of Illegal Online Transactions and Intelligent Supervision Mode","award":["2023YFC3304901"],"award-info":[{"award-number":["2023YFC3304901"]}]},{"name":"Beijing Key Lab of Big Data Decision Making for Green Development","award":["2023YFC3304901"],"award-info":[{"award-number":["2023YFC3304901"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JTAER"],"abstract":"<jats:p>As an emerging e-commerce model, live streaming e-commerce integrates instant interaction, content marketing, and online sales to bring consumers a new shopping experience. However, there are many risks in the process of live e-commerce transactions. Identifying key risk factors and implementing targeted control measures are crucial for promoting the sustainable and healthy development of live streaming e-commerce. This paper firstly constructs a business model of live streaming e-commerce transactions according to the transaction scenario and summarizes 24 risk factors from the three dimensions of live streaming e-commerce platforms, merchants, and anchors based on relevant national standards and other relevant literature. Secondly, the Delphi method is employed to modify and optimize the initial risk factors. On this basis, the social network model of risk factors is constructed to determine the influence relationship among risk factors. By calculating the degree centrality, factor types are segmented, and key risk factors as well as influence paths are identified. Finally, corresponding countermeasures and suggestions are proposed. The results indicate that Credit Evaluation System Perfection, Service Evaluation System Perfection, Qualification Audit Mechanism Perfection, Dispute Complaint Handling Channels Perfection, Risk Identification Mechanism Perfection, Platform Qualification, Merchant Qualification, and Merchant Credit are the critical risk factors affecting live streaming e-commerce transactions.<\/jats:p>","DOI":"10.3390\/jtaer20030169","type":"journal-article","created":{"date-parts":[[2025,7,3]],"date-time":"2025-07-03T04:07:17Z","timestamp":1751515637000},"page":"169","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Identification and Evaluation of Key Risk Factors of Live Streaming e-Commerce Transactions Based on Social Network Analysis"],"prefix":"10.3390","volume":"20","author":[{"given":"Changlu","family":"Zhang","sequence":"first","affiliation":[{"name":"School of Management Science and Engineering, Beijing Information Science & Technology University, Beijing 100192, China"},{"name":"Beijing Key Lab of Big Data Decision Making for Green Development, Beijing 100192, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuchen","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Management Science and Engineering, Beijing Information Science & Technology University, Beijing 100192, China"},{"name":"Beijing Key Lab of Big Data Decision Making for Green Development, Beijing 100192, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8824-8574","authenticated-orcid":false,"given":"Jian","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Management Science and Engineering, Beijing Information Science & Technology University, Beijing 100192, China"},{"name":"Beijing Key Lab of Big Data Decision Making for Green Development, Beijing 100192, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2025,7,3]]},"reference":[{"key":"ref_1","unstructured":"Koen van Gelder (2024, March 26). 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