5,086
Views
67
CrossRef citations to date
0
Altmetric
Research Article

The impact of COVID-19 pandemic on the psychological needs of tourists: implications for the travel and tourism industry

ORCID Icon, , , ORCID Icon & ORCID Icon
Pages 155-166 | Received 08 Jul 2020, Accepted 01 Feb 2021, Published online: 22 Feb 2021
 

ABSTRACT

This study aims to explore the psychological needs and satisfaction of Chinese, Japanese, and Korean tourists across three phases (i.e. before, during and perceived aftermath) of the COVID-19 pandemic. It fulfilled the theoretical extension of the Existence, Relatedness and Growth (ERG) theory to identify the basic psychological needs of the tourists in a pandemic situation. In-depth interviews, findings confirmed ERG processes of Satisfaction-Progression, Frustration-Regression, and Simple-Frustration. Nevertheless, the predominant psychological needs of tourists were different in each phase. The study contributes to a better understanding of post-pandemic needs of the tourists and is useful in redesigning travel experiences.

Acknowledgments

I would like to acknowledge Dr. Catherine Cheung is the first author of this paper. Ms. Miki Takashima, Dr. Helen Choi, Dr. Huijun Yang and Dr. Vincent Tung are all second authors of this paper.

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

The work described in this paper is fully supported by a grant from The Hong Kong Polytechnic University (Project No. G-UAKA)

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 309.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.