Publication Cover
Anatolia
An International Journal of Tourism and Hospitality Research
Volume 26, 2015 - Issue 3
724
Views
2
CrossRef citations to date
0
Altmetric
Articles

Independent travelling decision-making on B&B selection: exploratory analysis of Chinese travellers to Taiwan

&
Pages 408-420 | Received 24 Jun 2014, Accepted 11 Oct 2014, Published online: 17 Nov 2014
 

Abstract

Independent travellers who have a greater need for novelty display a preference for staying at bed and breakfast (B&B) establishments. However, few studies have explored B&Bs from the perspective of independent travellers, resulting in a lack of understanding of their B&B needs and how they choose. This study addresses this gap by exploring B&B selection factors for independent travellers. Data were collected from 30 in-depth interviews and 345 questionnaires with Chinese independent travellers visiting Taiwan. The findings explored five factors including friendly service, localization and safety, environmental convenience, ecological conservation and experiential activity. Two market segments were also identified, each with significantly different B&B need characteristics. Appropriate strategies were discussed to reconcile B&B services within each segment.

Acknowledgements

The authors would like to acknowledge the assistance of a researcher Hsin, I-Chia.

Notes

Additional information

Funding

A part of the research was supported by The Industry-Academia Collaboration Project of Industrial Park in 2009, Ministry of Education, Taiwan.

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 211.00 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.