Are Sun Lovers nervous?
Type:
Speech with proceedings
Proceedings:
ENTER 2016: Volume 7
Publisher:
e-Review of Tourism Research
Pages:
ISBN:
ISSN: 1941-5842
Year:
2016
Abstract:
In the travel and tourism industry, understanding travellers´ behaviours, needs and interests is one of the major issues to be tackled in order to provide excellent services. During the last decades, enormous efforts have been made in numerous studies with regard to the topic. The goal of this paper is to contribute to this knowledge base, trying to find relationships between tourist roles and long term personality traits. The paper is based on the 17 tourist roles defined by Gibson and Yiannakis (2002) and the Big Five Factors describing personality traits. Data collection was done using a 50 items questionnaire capturing basic demographic data, travel preferences and personality traits of nearly 1.000 respondents. The analysis shows interesting results, especially when taking different age ranges into consideration.
TU Focus:
Information and Communication Technology
Reference:
A. Delic, J. Neidhardt, H. Werthner:
"Are Sun Lovers nervous?";
Vortrag: ENTER Conference 2016, Bilbao, Spain; 02.02.2016 - 05.02.2016; in: "ENTER 2016: Volume 7", e-Review of Tourism Research, (2016), ISSN: 1941-5842.
Zusätzliche Informationen
Last changed:
27.06.2018 11:28:56
TU Id:
244729
Accepted:
Accepted
Invited:
Department Focus:
Business Informatics
Info Link:
https://publik.tuwien.ac.at/showentry.php?ID=244729&lang=1
Abstract German:
In the travel and tourism industry, understanding travellers´ behaviours, needs and interests is one of the major issues to be tackled in order to provide excellent services. During the last decades, enormous efforts have been made in numerous studies with regard to the topic. The goal of this paper is to contribute to this knowledge base, trying to find relationships between tourist roles and long term personality traits. The paper is based on the 17 tourist roles defined by Gibson and Yiannakis (2002) and the Big Five Factors describing personality traits. Data collection was done using a 50 items questionnaire capturing basic demographic data, travel preferences and personality traits of nearly 1.000 respondents. The analysis shows interesting results, especially when taking different age ranges into consideration.