Good deeds deserve good outcomes : Leveraging generative artificial intelligence to reduce tourists' avoidance of ethical brands embracing stigmatized groups

Linxiang Lv, Yongheng Liang, Siyun Chen*, Gus Guanrong Liu, Jiancai Liao

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

2 Citations (Scopus)

Abstract

Incorporating diversity, equity, and inclusivity often leads tourism brands to support stigmatized groups, yet tourists may perceive these groups negatively and avoid these brands. Drawing from one field study on the Facebook Ad platform and two experimental studies, we find that brand avoidance among tourists is reduced when tourism brands adopt AI-generated (vs. human-generated) moral content to support stigmatized dissociative out-groups. This effect is mediated by tourists' psychological proximity to these groups and is weakened for those with a strong sense of common fate with these out-groups. These insights contribute to tourism literature on generative AI and diversity, equity, and inclusivity while offering strategic guidance for brands seeking to embrace stigmatized groups.

Original languageEnglish
Article number103889
JournalAnnals of Tourism Research
Volume110
Early online date11 Dec 2024
DOIs
Publication statusPublished - Jan 2025
MoE publication typeA1 Journal article-refereed

Keywords

  • ChatGPT
  • Diversity, equity, and inclusivity
  • Ethical brand
  • Generative artificial intelligence
  • Tourists' brand avoidance

Fingerprint

Dive into the research topics of 'Good deeds deserve good outcomes : Leveraging generative artificial intelligence to reduce tourists' avoidance of ethical brands embracing stigmatized groups'. Together they form a unique fingerprint.

Cite this