2,073
Views
81
CrossRef citations to date
0
Altmetric
Articles

Back to the past: a sub-segment of Generation Y's perceptions of authenticity

Pages 793-809 | Received 30 Jan 2009, Accepted 23 Mar 2010, Published online: 08 Jun 2010
 

Abstract

To date, authenticity conceptualizations have taken into account the views of both suppliers and tourists. However, most studies, at the a priori stage, have not taken a market segment perspective but considered tourists to be a homogeneous population. This study challenges that by focusing on a distinct market segment based on age and life experience: Generation Y, drawing out an a priori-based sub-segment of Generation Y's perspectives of authenticity. It investigates if authenticity ideologies influence decisions to become a heritage tourist. Additionally, it determines other factors that predict differences between a heritage tourist and a non-heritage tourist. The study unveils interesting findings. With the exception of the objectivist and negotiation stance, other authenticity ideologies fail to inspire this generation to be heritage tourists. Intervention factors such as party size (and with it a social experience) and ethnicity prove to be better predictors of heritage preference. The results offer important implications for the heritage industry. For instance, “time travel” demand based on purely objective or negotiated versions can help promote conservation efforts and the sustainable development of heritage. This can lead to enhanced opportunities for partnership between the tourism industry and cultural/heritage site managers, and help revive discontinued or forgotten traditions.

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 289.00 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.