共 4 条
The AI-authorship effect: Understanding authenticity, moral disgust, and consumer responses to AI-generated marketing communications
被引:2
|作者:
Kirk, Colleen P.
[1
]
Givi, Julian
[2
]
机构:
[1] New York Inst Technol, New York, NY 10023 USA
[2] West Virginia Univ, Morgantown, WV USA
关键词:
Artificial intelligence;
Generative AI;
Moral disgust;
Authenticity;
ChatGPT;
Large language models;
D O I:
10.1016/j.jbusres.2024.114984
中图分类号:
F [经济];
学科分类号:
02 ;
摘要:
Seven preregistered experiments demonstrate that when consumers believe emotional marketing communications are written by an AI (vs. a human), positive word of mouth and customer loyalty are reduced. Drawing from authenticity theory, we show that this "AI-authorship effect" is attenuated for factual (vs. emotional) messages (Study 2); when an AI only edits the communication (Study 3); when a communication is signed directly by an AI (Study 4); and when consumers believe that most marketing communications are written by AI (Study WA1). Importantly, when consumers believe a communication is reused (i.e., not originally written by the sender), the effect is reversed (Study 6). This "AI-authorship effect" is serially mediated by perceived authenticity (Studies 5 and 6) and moral disgust (Studies 1-6 and WA1). These findings are evidenced using both personalized and mass communications, different emotions, businesses and organizational employees, and both hypothetical and behavioral measures.
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