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 journalArticle

    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 languageEnglish
    Pages (from-to)333-344
    Number of pages12
    JournalStrategic Change
    Volume28
    Issue number5
    DOIs
    Publication statusPublished - 1 Sep 2019

    Fingerprint Dive into the research topics of 'Use of the Pathfinder Network scaling to measure online customer reviews: A Theme Park Study'. Together they form a unique fingerprint.

  • Cite this