Dissemin is shutting down on January 1st, 2025

Published in

Elsevier, Tourism Management, (46), p. 311-321, 2015

DOI: 10.1016/j.tourman.2014.06.015

Links

Tools

Export citation

Search in Google Scholar

Identifying emerging hotel preferences using emerging pattern mining technique

Journal article published in 2015 by Gang Li ORCID, Rob Law, Huy Quan Vu, Jia Rong, Xinyuan (Roy) Zhao ORCID
This paper is available in a repository.
This paper is available in a repository.

Full text: Download

Green circle
Preprint: archiving allowed
Orange circle
Postprint: archiving restricted
Red circle
Published version: archiving forbidden
Data provided by SHERPA/RoMEO

Abstract

Hotel managers continue to find ways to understand traveler preferences, with the aim of improving their strategic planning, marketing, and product development. Traveler preference is unpredictable; for example, hotel guests used to prefer having a telephone in the room, but now favor fast Internet connection. Changes in preference influence the performance of hotel businesses, thus creating the need to identify and address the demands of their guests. Most existing studies focus on current demand attributes and not on emerging ones. Thus, hotel managers may find it difficult to make appropriate decisions in response to changes in travelers' concerns. To address these challenges, this paper adopts Emerging Pattern Mining technique to identify emergent hotel features of interest to international travelers. Data are derived from 118,000 records of online reviews. The methods and findings can help hotel managers gain insights into travelers' interests, enabling the former to gain a better understanding of the rapid changes in tourist preferences. ; School of Hotel & Tourism Management