Use of the Pathfinder Network scaling to measure online customer reviews: A Theme Park Study

Qun Ren; Feifei Xu; Xiaoyi Ji

doi:10.1002/jsc.2288

Use of the Pathfinder Network scaling to measure online customer reviews: A Theme Park Study

Qun Ren, Feifei Xu, Xiaoyi Ji

Research output: Contribution to journal › Article › peer-review

Abstract

We use pathfinder network scaling (PENETS) approach to measure and evaluate theme park visitors' online reviews. PFNETS as an effective tool of big data analytics can be used to identify unobserved meaningful interrelationships between concepts. Although there are many research analyzing online reviews, this study is the first attempt to use an analytical approach of PFNETS to explore online reviews in theme park visitor experiences. The article collects 14,142 effective reviews of the world's first Disneyland in California from TripAdvisor. 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.

Original language	English
Pages (from-to)	333-344
Number of pages	12
Journal	Strategic Change
Volume	28
Issue number	5
DOIs	https://doi.org/10.1002/jsc.2288
Publication status	Published - 1 Sept 2019

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title = "Use of the Pathfinder Network scaling to measure online customer reviews: A Theme Park Study",

abstract = "We use pathfinder network scaling (PENETS) approach to measure and evaluate theme park visitors' online reviews. PFNETS as an effective tool of big data analytics can be used to identify unobserved meaningful interrelationships between concepts. Although there are many research analyzing online reviews, this study is the first attempt to use an analytical approach of PFNETS to explore online reviews in theme park visitor experiences. The article collects 14,142 effective reviews of the world's first Disneyland in California from TripAdvisor. 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.",

author = "Qun Ren and Feifei Xu and Xiaoyi Ji",

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N2 - We use pathfinder network scaling (PENETS) approach to measure and evaluate theme park visitors' online reviews. PFNETS as an effective tool of big data analytics can be used to identify unobserved meaningful interrelationships between concepts. Although there are many research analyzing online reviews, this study is the first attempt to use an analytical approach of PFNETS to explore online reviews in theme park visitor experiences. The article collects 14,142 effective reviews of the world's first Disneyland in California from TripAdvisor. 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.

AB - We use pathfinder network scaling (PENETS) approach to measure and evaluate theme park visitors' online reviews. PFNETS as an effective tool of big data analytics can be used to identify unobserved meaningful interrelationships between concepts. Although there are many research analyzing online reviews, this study is the first attempt to use an analytical approach of PFNETS to explore online reviews in theme park visitor experiences. The article collects 14,142 effective reviews of the world's first Disneyland in California from TripAdvisor. 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.

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JO - Strategic Change

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IS - 5

ER -

Use of the Pathfinder Network scaling to measure online customer reviews: A Theme Park Study

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