Search Conferences

Type in any word, words or author name. This searchs through the abstract title, keywords and abstract text and authors. You may search all conferences or just select one conference.


 All Conferences
 EMAC 2019 Annual Conference
 EMAC 2020 Annual Conference
 EMAC 2020 Regional Conference

EMAC 2019 Annual Conference


Are they sisters? Using text mining approach to understand perceptions about Madeira and Bermuda
(A2019-8120)

Published: May 28, 2019

AUTHORS

Sandra Maria Correia Loureiro, Instituto Universitário de Lisboa (ISCTE-IUL), Business Research Unit (BRU-IUL); Lisbon, Portugal; Ricardo Godinho Bilro, Instituto Universitário de Lisboa (ISCTE-IUL), Business Research Unit (BRU-IUL);; Tiago Ferro, INSTITUTO UNIVERSITARIO DE LISBOA (ISCTE-IUL) and Business Research Unit (BRU/IUL)

KEYWORDS

Tourism Experience Model; Netnography; Text Mining

ABSTRACT

The current study explores how tourists perceive two islands with identical culture, but different demographic characteristics. Two complementary methodologies are employed: Netnography and Text Mining. Eight encodings are used based on the literature: Rating, Categories, Membership Level of reviewers, Language type, Tourism Experience Model, Content, and Symbology and Positive/Negative information. With the first methodology, all encodings are analyzed, while in the Text Mining, only three: TEM, ML and categories. Customer satisfaction is slightly superior in Madeira. Lifestyle and Leisure and Tourism, Travel and Commuting are the main themes. Reviewers are engaged with the destinations and the re-purchase scenario is highly probable.