The implications of generative artificial intelligence in academic research and higher education in tourism and hospitality

Tarik Dogru, Nathana Line, Lydia Hanks, Fulya Acikgoz, Je’Anna Abbott, Selim Bakir, Adiyukh Berbekova, Anil Bilgihan, Ali Iskender, Murat Kizildag, Minwoo Lee, Woojin Lee, Sean McGinley, Makarand Mody, Irem Onder, Ozgur Ozdemir, Courtney Suess

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

The purpose of this study is to critically review the effect of generative artificial intelligence (GAI) tools on higher education and research in the tourism and hospitality (TH) field. This manuscript identifies capabilities and implications of these GAI applications through a theoretical lens. GAI adoption in TH education can facilitate personalized learning experiences, enhance the technological competence of students, and foster a more diverse and inclusive learning environment. For academic research, GAI-enabled technologies may revolutionize data collection, analysis, and writing in a myriad of ways. However, there are multiple ethical and legal concerns associated with adoption that must be considered. At the end of this paper, we propose ten discussion questions aimed at stimulating conversation about adoption of GAI tools in TH education and research.

Original languageEnglish (US)
JournalTourism Economics
DOIs
StateAccepted/In press - 2023

Keywords

  • education
  • ethics
  • generative artificial intelligence
  • publishing
  • research

ASJC Scopus subject areas

  • Geography, Planning and Development
  • Tourism, Leisure and Hospitality Management

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