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Use of the pathfinder network scaling to measure online customer reviews: A theme park study
Solent Univ, Sch Business Law & Commun, Southampton, Hants, England.
Univ Lincoln, Int Business Sch, Dept Commun Journalism & Mkt, Lincoln, England.
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Mathematics.
2019 (English)In: Strategic Change, ISSN 1086-1718, E-ISSN 1099-1697, Vol. 28, no 5, p. 333-344Article in journal (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
2019. Vol. 28, no 5, p. 333-344
National Category
Business Administration
Identifiers
URN: urn:nbn:se:uu:diva-394689DOI: 10.1002/jsc.2288ISI: 000485302100004OAI: oai:DiVA.org:uu-394689DiVA, id: diva2:1369253
Note

Correction in: STRATEGIC CHANGE-BRIEFINGS IN ENTREPRENEURIAL FINANCE, Volume: 28, Issue: 6, Page: 523, DOI: 10.1002/jsc.2294

The name of the third author of this has been mispelled Xiaowei Ji in the online and print version. The correct name of the third author is Xiaoyi Ji.

Available from: 2019-11-11 Created: 2019-11-11 Last updated: 2019-12-17Bibliographically approved

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