591
Views
0
CrossRef citations to date
0
Altmetric
Articles

When life gives you lemons, make lemonade: post-COVID marketing strategy to motivate travel by triggering traveler’s inaction regret

ORCID Icon
Pages 940-953 | Published online: 13 Nov 2022
 

ABSTRACT

Considerable research on COVID-19 in tourism and hospitality literature has focused on identifying the negative effects of this crisis and exploring measures to suppress factors that demotivate people from traveling. However, factors that can fuel people’s motivation to travel again remain underexplored. In response to this gap, the present research proposes unique psychology that is related to the current pandemic environment, inaction regret, as a key motivator for people to resume their travel activities. Specifically, this research hypothesizes that two constructs, namely, “anticipated loss of not traveling in the future” and “change in perceived value of travel,” mediate the positive effect of inaction regret on the future intention to travel. Overall, this research extends the existing research on COVID-19 in tourism and hospitality literature by identifying unique emotions pertinent to the current pandemic. At the same time, the findings of this research contribute to deriving post-pandemic marketing strategies to reinvigorate travel demand.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

This research was supported by New Faculty Grant awarded from University of Houston Division of Research (Research Project I0506459).

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 153.00 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.