多场景直播电商的协同运营机制研究——以T学院融媒体广告创新基地为例

Research on the Collaborative Operation Mechanism of Multi-Scenario Live E-Commerce—A Case Study of the T College Integrated Media Advertising Innovation Base

摘要: 直播电商已由早期以流量驱动为主的扩张形态，逐步转向以场景组织、内容生产与协同运行相结合的精细化阶段。本文以T学院融媒体广告创新基地为例，围绕助农直播、企业直播与校园服务直播三类场景，考察高校融媒体平台参与直播电商的运行方式与协同机制。研究发现，不同场景下的直播电商在目标指向、内容结构与转化逻辑上存在明显差异：助农直播侧重产地信任建构，企业直播侧重品牌传播协同，校园服务直播侧重信息触达与服务导流；其有效运行依赖于场景匹配、内容组织、传播引流与数据复盘等环节的协同配合。案例表明，高校融媒体基地在整合内容制作、直播执行与传播分发资源方面具有一定优势，能够形成较为完整的直播电商运营链条。与此同时，当前实践仍面临项目供给不稳定、内容同质化和数据沉淀不足等问题。基于此，本文提出应从场景差异化设计、内容生产规范化、校地企协同稳定化与数据复盘制度化四个方面优化直播电商运行机制，以提升高校融媒体基地参与直播电商实践的持续性与有效性。

Abstract: Live e-commerce has gradually evolved from the early expansion model driven primarily by traffic to a refined stage that combines scenario organization, content production, and collaborative operation. Taking the T College Integrated Media Advertising Innovation Base as an example, this paper examines three types of live streaming scenarios—agriculture-supporting live streams, enterprise live streams, and campus service live streams, and investigates the operation methods and collaborative mechanisms of university integrated media platforms in live e-commerce. The study finds that live e-commerce under different scenarios exhibits significant differences in goal orientation, content structure, and conversion logic: agriculture-supporting live streams focus on building trust in the production area, enterprise live streams emphasize brand communication collaboration, and campus service live streams prioritize information reach and service guidance. Their effective operation relies on coordinated efforts in scenario matching, content organization, traffic guidance, and data review. The case study shows that university integrated media bases have certain advantages in integrating content production, live stream execution, and distribution resources, allowing them to form a relatively complete live e-commerce operation chain. Meanwhile, current practices still face challenges, such as unstable project supply, content homogenization, and insufficient data accumulation. Based on this, this paper proposes optimizing the live e-commerce operation mechanism from four aspects: differentiated scenario design, standardized content production, stable university-local-enterprise collaboration, and institutionalized data review, to enhance the sustainability and effectiveness of university integrated media bases participation in live e-commerce practice.