Double-sided messages improve the acceptance of chatbots

Lu (Monroe) Meng, Tongmao Li, Xiaolin (Crystal) Shi, Xin Huang

Research output: Journal article publicationJournal articleAcademic researchpeer-review

6 Citations (Scopus)

Abstract

Customers may not wish to use an artificial intelligence (AI) chatbot after knowing its nonhuman identity. Based on the inoculation theory, this study explores how to increase customers' willingness to communicate with AI chatbots by adopting a double-sided message strategy after AI's nonhuman identity is disclosed through one field experiment in a hotel and three online vignette experiments. Results indicate that a double-sided message strategy enhances customers' willingness to interact with AI chatbots via the mediating role of perceived authenticity. Furthermore, the study highlights that customers' attitudes toward interacting with AI chatbots are moderated by customer demand types—complaints and inquiries. This study proposes an effective solution to customers' rejection of AI chatbots.

Original languageEnglish
Article number103644
JournalAnnals of Tourism Research
Volume102
DOIs
Publication statusPublished - Sept 2023

Keywords

  • AI chatbot adoption
  • AI's nonhuman identity disclosure
  • Double-sided message strategy
  • Perceived authenticity.
  • The inoculation theory

ASJC Scopus subject areas

  • Business and International Management
  • Development
  • Tourism, Leisure and Hospitality Management
  • Marketing

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