Choosing the Optimal Segmentation Technique to Understand Tourist Behaviour

McKercher, Bob, Tolkach, Denis, Mahadewi, Ni Made Eka, and Byomantara, Dewa Gde Ngurah (2023) Choosing the Optimal Segmentation Technique to Understand Tourist Behaviour. Journal of Vacation Marketing, 29 (1). pp. 71-83.

[img]
Preview
PDF (Author Accepted Manuscript) - Accepted Version
Download (347kB) | Preview
View at Publisher Website: https://doi.org/10.1177/1356766722107824...
 
4
331


Abstract

This study compares and contrasts five different segmentation techniques to determine which one(s) best describe behaviour among independent tourists who visited Bali, Indonesia. The five techniques included geographic, demographic, behavioural and motivation segmentation, plus a hybrid technique that included geographic, demographic and behavioural variables. The study revealed geographic segmentation proved to be the most efficacious, with motivation segmentation least reliable. However, the authors caution that the preferred segmentation technique depends on the objectives of the study, with each method adopted serving a specific purpose.

Item ID: 73066
Item Type: Article (Research - C1)
ISSN: 1479-1870
Keywords: Bali, segmentation, method
Copyright Information: © The Author(s) 2022. Author Accepted Manuscript: Users who receive access to an article through a repository are reminded that the article is protected by copyright and reuse is restricted to non-commercial and no derivative uses. Users may also download and save a local copy of an article accessed in an institutional repository for the user's personal reference. For permission to reuse an article, please follow the publisher's Process for Requesting Permission: https://uk.sagepub.com/en-gb/eur/process-for-requesting-permission.
Date Deposited: 16 Mar 2022 09:09
FoR Codes: 35 COMMERCE, MANAGEMENT, TOURISM AND SERVICES > 3508 Tourism > 350804 Tourism marketing @ 100%
SEO Codes: 11 COMMERCIAL SERVICES AND TOURISM > 1104 Tourism services > 110401 Economic issues in tourism @ 100%
Downloads: Total: 331
Last 12 Months: 19
More Statistics

Actions (Repository Staff Only)

Item Control Page Item Control Page