Journal
JOURNAL OF TRAVEL RESEARCH
Volume -, Issue -, Pages -Publisher
SAGE PUBLICATIONS INC
DOI: 10.1177/00472875221147142
Keywords
brand personality; world heritage; text mining; word embedding; natural language processing
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This study aims to develop a new method for constructing context-driven brand personality categories using a multidisciplinary approach and advances in psychology and natural language processing. By analyzing 1,121 UNESCO World Heritage Sites and 9,920 user-generated reviews on TripAdvisor, the study identified a 192-item World Heritage Site personality dictionary organized into five clusters: Exceptionality, Attractiveness, Identification, Responsibility, and Prominence.
Despite having received considerable academic attention, existing brand personality (BP) scales are difficult to generalize and likely need further development. The aim of this study was to design a novel method for constructing context driven-BP categories through the use of a multi-disciplinary approach and advances in personality studies in psychology and natural language processing. Based on a textual analysis that relies on devising hypotheses of psycholexical representation and the distributed representation of words, the aforementioned method was employed to explore World Heritage Site (WHS) personalities using information from all 1,121 UNESCO World Heritage Sites (WHSs) and 9,920 user-generated reviews on TripAdvisor. The study identified a 192-item WHS personality dictionary organized into five clusters: Exceptionality; Attractiveness; Identification; Responsibility; and Prominence. These categories could be employed to measure other tourism attractions. The results show that UNESCO strongly associates WHSs with the attributes of Attractiveness and Identification.
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