Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/100593
Title: Mapping country wine brand personalities, examples from five nations : an abstract
Other Titles: Back to the future : using marketing basics to provide customer value, developments in marketing science : proceedings of the Academy of Marketing Science, Academy of Marketing Science
Authors: Treen, Emily
Grant, Philip
Heerden, Gene Van
Vella, Joseph M.
Botha, Elsamari
Chan, Anthony
Keywords: Wine and wine making
Wineries
Application software
Content analysis (Communication)
Sentiment analysis
Issue Date: 2017
Publisher: Springer
Citation: Treen, E., Grant, P., Heerden, G. V., Vella, J. M., Botha, E., & Chan, A. (2017). Mapping country wine brand personalities, examples from five nations: an abstract. In N. Krey, P. Rossi (Eds.), Back to the future : using marketing basics to provide customer value, developments in marketing science : proceedings of the Academy of Marketing Science, Academy of Marketing Science (pp. 339-340). Cham: Springer.
Abstract: This paper presents a study of wine estate websites in five different countries and regions designed to explore which dimensions of brand personality wine estates exhibit online, to determine whether wine estates in different countries portray different dimensions of brand personality. The study uses text content from wine estate websites and analyzes it using the text analysis software Diction. Typical applications of the BPS include comparisons of brand personalities within an offering category utilizing questionnaires in which respondents indicate the extent to which the brands being compared possess dimensions of brand personality, namely, sincerity, excitement, competence, sophistication, and ruggedness. We chose five wine tourist destination countries/regions for the study to, first, get a mix of old and new world wine producers (France [old], South Africa [new/old], Australia, New Zealand, USA [new]) and in the case of three nations looked at the entire country (Australia, New Zealand, and South Africa) and at the best-known regions in two countries (Bordeaux for France, Napa for USA). The text analysis software Diction (www.dictionsoftware.com) was used to analyze the data. Diction is especially useful for determining the tone of a verbal message and allows the user to incorporate their own dictionaries into the analysis to determine scores based on frequency of key words and tone.
URI: https://www.um.edu.mt/library/oar/handle/123456789/100593
Appears in Collections:Scholarly Works - FacMKSCC

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