The AI-authorship effect: Understanding authenticity, moral disgust, and consumer responses to AI-generated marketing communications

被引:5
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.
引用
收藏
页数:14
相关论文
共 56 条
  • [21] When Customer Love Turns into Lasting Hate: The Effects of Relationship Strength and Time on Customer Revenge and Avoidance
    Gregoire, Yany
    Tripp, Thomas M.
    Legoux, Renaud
    [J]. JOURNAL OF MARKETING, 2009, 73 (06) : 18 - 32
  • [22] Will Online Shopping Lead to More Brand Loyalty Than Offline Shopping? The Role of Uncertainty Avoidance
    Guo, Bingxuan
    Wang, Dian
    [J]. JOURNAL OF MARKETING RESEARCH, 2024, 61 (01) : 92 - 109
  • [23] Hayes A.F., 2017, Introduction to mediation, moderation, and Conditional Process analysis: A regression-Based Approach
  • [24] Artificial intelligence and consumer behavior: From predictive to generative AI
    Hermann, Erik
    Puntoni, Stefano
    [J]. JOURNAL OF BUSINESS RESEARCH, 2024, 180
  • [25] Generating Authenticity in Automated Work
    Jago, Arthur S.
    Carroll, Glenn R.
    Lin, Mariana
    [J]. JOURNAL OF EXPERIMENTAL PSYCHOLOGY-APPLIED, 2022, 28 (01) : 52 - 70
  • [26] Engaging the Avatar: The effects of authenticity signals during chat-based service recoveries
    Jones, Carol L. Esmark
    Hancock, Tyler
    Kazandjian, Brett
    Voorhees, Clay M.
    [J]. JOURNAL OF BUSINESS RESEARCH, 2022, 144 : 703 - 716
  • [27] Do You Mind if I Ask You a Personal Question? How AI Service Agents Alter Consumer Self-Disclosure
    Kim, Tae Woo
    Jiang, Li
    Duhachek, Adam
    Lee, Hyejin
    Garvey, Aaron
    [J]. JOURNAL OF SERVICE RESEARCH, 2022, 25 (04) : 649 - 666
  • [28] Just my luck: Narcissistic admiration and rivalry differentially predict word of mouth about promotional games
    Kirk, Colleen P.
    Peck, Joann
    Hart, Claire M.
    Sedikides, Constantine
    [J]. JOURNAL OF BUSINESS RESEARCH, 2022, 150 : 374 - 388
  • [29] Property Lines in the Mind: Consumers' Psychological Ownership and Their Territorial Responses
    Kirk, Colleen P.
    Peck, Joann
    Swain, Scott D.
    [J]. JOURNAL OF CONSUMER RESEARCH, 2018, 45 (01) : 148 - 168
  • [30] Do parasocial relationships and the quality of communication with AI shopping chatbots determine middle-aged women consumers' continuance usage intentions?
    Lee, Minsun
    Park, Jee-Sun
    [J]. JOURNAL OF CONSUMER BEHAVIOUR, 2022, 21 (04) : 842 - 854