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. JEL classification codes: M10, M20, M30.

The Current State of Big Data Research in Tourism: Results of a Systematic Literature Analysis

“…Huang et al, 2017;Nilashi et al, 2015;Sinha et al, 2018), or three (e.g. Basaran et al, 2020;Fronzetti Colladon et al, 2019;Pantano & Dennis, 2019;Ren et al, 2019) Big Data requirements. The examined IT solutions commonly revolve around the potential of Big Data practice considering smart cities or smart destinations (e.g.…”

“…Liu et al, 2018;Önder et al, 2016;Scuderi & Dalle Nogare, 2018;Tingting, 2019), recommendations or reviews (e.g. Fronzetti Colladon et al, 2019;Nilashi et al, 2015;Ren et al, 2019), and predictions or forecasting (e.g. Cheng & Zhao, 2019;Fronzetti Colladon et al, 2019;Pan & Yang, 2017;Song et al, 2013;Tsai, 2014;Yang et al, 2014).…”

“…Shapoval et al, 2018;Song et al, 2013), activities and attractions visited at the destination (e.g. Ren et al, 2019;Liu et al, 2018;Önder et al, 2016;Scuderi & Dalle Nogare, 2018;Tingting, 2019), as well as motivation to visit and destination choice (e.g. Lee et al, 2019;Wu et al, 2014).…”

Influences of SNS (Social Network Service) Uses and Musical Consumption on City Branding: A Focus on Broadway, New York and the West End, London

“…Social media provides an entertainment experience to users, and competence and autonomy directly influenced enjoyment [26]. SNS is known to provide various reviews for theme parks [27]. It is found that Twitter enhanced hard news knowledge when users have a higher need for orientation [25].…”