评论和对话有意义吗?直播商业中双向互动对销售和粉丝的影响

IF 6.8 1区 计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Decision Support Systems Pub Date : 2025-06-01 Epub Date: 2025-04-05 DOI:10.1016/j.dss.2025.114451
Xiaoping Lang , Sheng Lin , Xiangyang Ma , Tieshan Li
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引用次数: 0

摘要

本研究采用互动仪式模型来探讨直播商业平台中主播与观众之间的双向互动。具体而言,该研究调查了观众的实时评论和主播的对话对产品销售和粉丝增长的影响,使用分钟级数据进行详细分析。结果表明,实时评论与产品销量和关注者增量呈非线性倒u型关系。这种关系表明,直播过程中的“超载评论”可能会给直播商业平台带来问题。此外,我们发现主播的对话对产品销售有积极的影响,可以缓解实时评论与产品销售之间的倒u型关系。此外,我们发现主播的对话对产品销售有延迟效应,销售通常在对话结束后2.5到5分钟发生。研究结果为优化直播商务平台的管理提供了有价值的指导。
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Can comments and dialogues make sense? The effect of two-way interactions on sales and followers in live streaming commerce
This research employs interaction ritual model to explore the two-way interaction between streamers and viewers on a live streaming commerce platform. To be specific, the study investigates the impact of viewers' real-time comments and streamer's dialogue on product sales and follower growth, using minute-level data for detailed analysis. The results show that real-time comments exhibit a nonlinear inverted U-shaped relationship with product sales and increment in followers. Such relationship indicates that the “overloaded comments” during live streams could cause a problem on live streaming commerce platforms. In addition, we find that streamer's dialogue has a positive effect on product sales and can mitigate the inverted U-shaped relationship between real-time comments and product sales. Furthermore, we identify that streamer's dialogue has a delayed effect on product sales, with sales typically occurring 2.5 to 5 min after the dialogue ends. The findings provide valuable guidance for optimizing the management of live streaming commerce platforms.
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来源期刊
Decision Support Systems
Decision Support Systems 工程技术-计算机:人工智能
CiteScore
14.70
自引率
6.70%
发文量
119
审稿时长
13 months
期刊介绍: The common thread of articles published in Decision Support Systems is their relevance to theoretical and technical issues in the support of enhanced decision making. The areas addressed may include foundations, functionality, interfaces, implementation, impacts, and evaluation of decision support systems (DSSs).
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