铅(地质)
内容(测量理论)
心理学
营销
业务
生物
数学
数学分析
古生物学
作者
Xinyuan Lu,Wan Guo,Yizhou Wang,Heng Zhang
标识
DOI:10.1080/10447318.2025.2520997
摘要
As generative AI becomes increasingly integrated into marketing, brands face both opportunities and challenges in using AI to co-create content that drives consumer engagement. However, empirical research on the impact of human-AI collaborative content remains limited. This study addresses this gap by combining the Cognitive-Affective Personality System (CAPS) and resonance theory to propose a model that examines how collaboration modes (AI-dominant vs. human-dominant) and content types (informational vs. emotional) influence online brand engagement through cognitive and emotional resonance. Two online experiments investigate their interaction and the mediating role of resonance. The results reveal a key matching effect: AI-dominant collaborations enhance engagement with informational content through cognitive resonance, while human-dominant collaborations strengthen engagement with emotional content through emotional resonance. These findings provide both theoretical and practical insights, demonstrating how aligning collaboration mode with content type can optimize human-AI content marketing and guide brands in leveraging generative AI to improve engagement.
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