428
Views
4
CrossRef citations to date
0
Altmetric
Articles

Do lower costs necessarily induce higher value ratings? An analysis of online hotel reviews

&
Pages 2357-2373 | Received 21 Oct 2019, Accepted 06 Aug 2020, Published online: 24 Aug 2020
 

ABSTRACT

Combining online reviews and secondary data, this study integrates transaction costs and travel costs to examine factors shaping travellers’ perceived value of hotel stays with a focus on the moderation effects of traveller and travel characteristics. Results of a mixed-effect ordered logit model reveal negative effects of transaction costs and travel costs, and these effects vary depending on travellers’ experience quality, expertise level, and travel mode. Particularly, travellers with higher experience quality are sensitive to transaction and travel costs when rating the value of hotel stays. Visitors travelling as a couple and on business are most sensitive to transaction costs, whereas those travelling with family and friends consider travel costs a critical factor. Travellers’ sensitivity to transaction costs also intensifies as reviewer expertise increases; by contrast, only travellers with limited and moderate expertise are sensitive to travel costs. Finally, implications for hotel marketing and revenue management are discussed.

Acknowledgements

This study was supported by the 11th Young Scholars Interdisciplinary Forum, Fox School of Business, Temple University.

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 273.00 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.