Testing a Model of Destination Image Formation: Application of Nonparametric Bayesian Relational Modeling to Destination Image Analysis

Research output: Research - peer-reviewArticle in proceedings – Annual report year: 2018

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This presentation introduces a methodological framework that analyzes a model of destination image formation (Baloglu & McCleary 1999; Beerli & Martin 2004). Specifically, the main aims of this study are to investigate what type of stimulus factors (information sources) are connected to the formation of destination image, and to explore if there is a connection between their strength of willingness to visit a destination and their patterns to associate with the destination. The study employs an advanced nonparametric Bayesian relational model (Glückstad, Herlau, Schmidt, Rzepka, Araki and Mørup 2013; Mørup, Glückstad, Herlau & Schmidt, 2014) for a two-steps analysis . The first step attempts to segment consumers according to patterns of attributes consumers associate with three arbitrary selected destinations. The second step statistically analyzes latent structural patterns per segment by contrasting two independent datasets, one consisting of information sources and members of a segment and another consisting of destination attributes and the members of the segment. The results of two-steps analysis demonstrated that patterns of attributes respondents associate with the three selected destinations differ across individuals and the applied method enabled to segment respondents according to the differences, and consumers’ associations, their willingness to visit the destinations and types of information sources they have accessed to learn about the destinations are connected to each other.
Original languageEnglish
Title of host publication2018 Global Marketing Conference at Tokyo Proceedings
EditorsJeonghye Choi
Number of pages2
Volume2018
PublisherGlobal Alliance of Marketing and Management Associations
Publication date2018
Pages63-64
DOIs
StatePublished - 2018
Event2018 Global Marketing Conference at Tokyo - Tokyo, Japan
Duration: 26 Jul 201829 Jul 2018

Conference

Conference2018 Global Marketing Conference at Tokyo
CountryJapan
CityTokyo
Period26/07/201829/07/2018
SeriesGlobal Fashion Management Conference
ISSN1976-8699
CitationsWeb of Science® Times Cited: No match on DOI

    Research areas

  • Bayesian relational modeling, Destination image formation, Knowledge representation, Categorization, Segmentation
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