说服
框架(结构)
调控焦点理论
广告
模式(遗传算法)
心理学
说服性沟通
匹配(统计)
社会心理学
个性化
营销传播
框架效应
产品(数学)
刺激(心理学)
传播学
感知
人气
价(化学)
消费者行为
作者
Yanzhe Yuan,Jiraporn Surachartkumtonkun,Wei Shao,Haroon Iqbal Maseeh,Yaning Zhang
标识
DOI:10.1016/j.jretconser.2026.104722
摘要
Health-related live-streaming commerce increasingly relies on streamers to shape consumers' understanding of product claims, yet little is known about how lifestyle-oriented streamer characteristics interact with message framing to influence persuasion. This research aims to examine when and why streamer characteristics enhance or undermine the effectiveness of health-threat communication in live-streaming contexts. Drawing on Schema Congruity Theory and Regulatory Focus Theory, we conduct five pretests and four scenario-based experiments involving 3676 participants across multiple health-related product categories. The studies manipulate streamer characteristics (indulgent vs. self-controlled), health-threat message framing (high vs. low), and consumers' regulatory focus. The results reveal a robust matching effect: self-controlled streamers are more persuasive when delivering high-threat messages, whereas indulgent streamers are more effective when presenting low health-threat information. This congruence increases purchase intentions by enhancing perceived diagnosticity and reducing psychological reactance. Moreover, these effects are contingent on consumers’ motivational orientation—promotion-focused consumers respond more favourably to indulgent streamers paired with low health-threat messages, while prevention-focused consumers show the strongest responses to self-controlled streamers delivering high-threat information. The findings advance research on interactive commerce and health communication by identifying lifestyle-based streamer cues as a key driver of persuasion and by clarifying the psychological mechanisms and boundary conditions underlying these effects. From a managerial perspective, the results highlight the importance of aligning streamer characteristics, message framing, and audience segmentation in health-related live-streaming campaigns.
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