What makes you continuously use chatbot services? Evidence from chinese online travel agencies

  • Lin Li
  • , Kyung Young Lee
  • , Emmanuel Emokpae
  • , Sung Byung Yang*
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

205 Scopus citations

Abstract

Thanks to artificial intelligence, chatbots have been applied to many consumer-facing applications, especially to online travel agencies (OTAs). This study aims to identify five quality dimensions of chatbot services and investigate their effect on user confirmation, which in turn leads to use continuance. In addition, the moderating role of technology anxiety in the relationships between chatbot quality dimensions and post-use confirmation is examined. Survey data were gathered from 295 users of Chinese OTAs. Partial Least Square (PLS) was used to analyze measurement and structural models. Understandability, reliability, assurance, and interactivity are positively associated with post-use confirmation and technology anxiety moderates the relationships between four chatbot quality dimensions and confirmation. Confirmation is positively associated with satisfaction, which in turn influences use continuance intention. This study examines how chatbot services in OTAs are considered by users (human-like agents vs. technology-enabled services) by investigating the moderating role of technology anxiety.

Original languageEnglish
Pages (from-to)575-599
Number of pages25
JournalElectronic Markets
Volume31
Issue number3
DOIs
StatePublished - Sep 2021
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2020, Institute of Applied Informatics at University of Leipzig.

Keywords

  • Artificial intelligence
  • Chatbot service quality
  • Extended post-acceptance model of IS continuance
  • Human-machine interaction
  • Online travel agency
  • Technology anxiety

ASJC Scopus subject areas

  • Business and International Management
  • Economics and Econometrics
  • Computer Science Applications
  • Marketing
  • Management of Technology and Innovation

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