Use of the pathfinder network scaling to measure online customer reviews: a theme park study

Ren, Qun, Xu, Faye and Ji, Xiaoyi (2019) Use of the pathfinder network scaling to measure online customer reviews: a theme park study. Strategic Change, 28 (5). pp. 333-344. ISSN 1086-1718

[img] Microsoft Word
Ji_Ren_and_Xu_JSC_2019_Use_of_the_pathfinder_network_scaling_to_measure_online_customer_reviews_a_theme_park_study.docx - Accepted Version
Restricted to Repository staff only until 5 September 2021.

Download (1MB)

Abstract

Pathfinder Network Scaling (PFNETs) as an effective tool of big data analytics can be used to identify unobserved meaningful interrelationships between concepts. Although there are many research analysing online reviews, this study is the first attempt to use an analytical approach of Pathfinder Network Scaling (PFNETs) to explore online reviews in Theme park visitors experiences. The paper collects 14,142 effective reviews of the World’s first Disneyland in California from Trip Advisor. Using parallel and similarity comparison in Pathfinder scaling, four individually but fully connected networks were generated to reveal different visitors’ experiences in different segments. The findings indicate the dissimilarity of concept relatedness between different segments and revealed the knowledge gap of marketing to different segments in theme parks.

Item Type: Article
Additional Information: © 2019 John Wiley & Sons, Ltd. This is the peer reviewed version of the following article: [Ren, Q, Xu, F, Ji, X. Use of the pathfinder network scaling to measure online customer reviews: A theme park study. Strategic Change. 2019; 28: 333– 344], which has been published in final form at [https://doi.org/10.1002/jsc.2288]. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions.
Subjects: Business and finance > Business and management
Hospitality and tourism > Tourism
Depositing User: Faye Xu
Date Deposited: 05 Jun 2020 15:38
Last Modified: 18 Jun 2020 09:48
URI: http://repository.uwl.ac.uk/id/eprint/7013

Actions (login required)

View Item View Item

Menu