175
Views
0
CrossRef citations to date
0
Altmetric
Articles

Modelling TripAdvisor satisfaction metrics to optimise wine venue experiences: the case of the Western Cape

ORCID Icon, , &
Pages 169-189 | Received 08 Apr 2021, Accepted 31 Aug 2022, Published online: 04 Oct 2022
 

ABSTRACT

With social media ratings serving as a filter in the selection of visitor wine tourism options, we employ the 4E experiential model as a theoretical framework to explore destination activities and their link to visitor ratings; here with the aim of establishing whether high satisfaction ratings conform to the so-called 4E ‘sweet spot’. Using regression-based data from 270 wine tourism destinations in the Western Cape, results demonstrate how significant activity-mentions stemming from the immersive quadrants of esthetics and escapism increased visitor ratings, while those from the absorptive quadrants of entertainment and education decreased them. Complemented by further analysis of the upper, middle and lower ratings strata, we show that high satisfaction ratings do not necessarily incorporate experiences from all four quadrants. This refutes the 4E sweet spot idealization. As an alternative we suggest formulating optimal visitor experiences from a methodology that draws inference from highly rated activities submitted directly by the online tourist-customer.

Disclosure statement

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

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 823.00 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.