CROSS-CULTURAL BEHAVIOR RESEARCH IN TOURISM: A CASE STUDY ON DESTINATION IMAGE

2003 ◽  
Vol 8 (2) ◽  
pp. 253-257 ◽  
Author(s):  
METIN KOZAK ◽  
ENRIQUE BIGNÉ ◽  
ANA GONZÁLEZ ◽  
LUISA ANDREU
2019 ◽  
Vol 42 ◽  
Author(s):  
Penny Van Bergen ◽  
John Sutton

Abstract Sociocultural developmental psychology can drive new directions in gadgetry science. We use autobiographical memory, a compound capacity incorporating episodic memory, as a case study. Autobiographical memory emerges late in development, supported by interactions with parents. Intervention research highlights the causal influence of these interactions, whereas cross-cultural research demonstrates culturally determined diversity. Different patterns of inheritance are discussed.


2020 ◽  
Vol 59 (2) ◽  
pp. 288-309
Author(s):  
Sergei Akopov

Based on the distinction between three approaches to loneliness, and the development of the phenomenological and existential framework of loneliness studies, this article explores Russia’s discourse of national loneliness on three levels: a) the level of the official discourse of the Russian government; b) the level of political and philosophical concepts; and c) the level of popular media and cinema (with a specific focus on a case-study of the post-Soviet Russian blockbuster film Brother and its sequel, Brother 2). In this article I concentrate on the particular experiences of loneliness and their interpretations in Russia after the fall of the USSR. The case of the fall of the USSR has shown that social and political exploitations of different forms of national loneliness can become the flip side of the doctrine of autonomy, equal individual rights and freedom from authoritarian rule. This should be considered and never disregarded within our analysis of the contours and new transformations of emerging hegemonic discourses, including the different forms of nationalism in Russia, and in a wider cross-cultural perspective.


2021 ◽  
pp. 004728752110247
Author(s):  
Vinh Bui ◽  
Ali Reza Alaei ◽  
Huy Quan Vu ◽  
Gang Li ◽  
Rob Law

Understanding and being able to measure, analyze, compare, and contrast the image of a tourism destination, also known as tourism destination image (TDI), is critical in tourism management and destination marketing. Although various methodologies have been developed, a consistent, reliable, and scalable method for measuring TDI is still unavailable. This study aims to address the challenge by proposing a framework for a holistic measure of TDI in four dimensions, including popularity, sentiment, time, and location. A structural model for TDI measurement that covers various aspects of a tourism destination is developed. TDI is then measured by a comprehensive computational framework that can analyze complex textual and visual data on a large scale. A case study using more than 30,000 images, and 10,000 comments in relation to three tourism destinations in Australia demonstrates the effectiveness of the proposed framework.


Author(s):  
O. Minina

The aim of the research was to develop and implement a teachers training master degree program with active integration of soft skills at all the stages to form students’ system and critical thinking, project management skills, teamwork and leadership, communication and cross-cultural interaction skills. To solve these problems, the program included specialized practice-orientated courses based on the principles of pedagogical ergonomics and the latest technologies (ball-rating system, workshop, case study, “agile” principle, pedagogical situations’ modeling and others). The research resulted is a unique, effective and validated program and a set of training materials to develop universal competencies of master degree students.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Gianluca Solazzo ◽  
Ylenia Maruccia ◽  
Gianluca Lorenzo ◽  
Valentina Ndou ◽  
Pasquale Del Vecchio ◽  
...  

Purpose This paper aims to highlight how big social data (BSD) and analytics exploitation may help destination management organisations (DMOs) to understand tourist behaviours and destination experiences and images. Gathering data from two different sources, Flickr and Twitter, textual and visual contents are used to perform different analytics tasks to generate insights on tourist behaviour and the affective aspects of the destination image. Design/methodology/approach This work adopts a method based on a multimodal approach on BSD and analytics, considering multiple BSD sources, different analytics techniques on heterogeneous data types, to obtain complementary results on the Salento region (Italy) case study. Findings Results show that the generated insights allow DMOs to acquire new knowledge about discovery of unknown clusters of points of interest, identify trends and seasonal patterns of tourist demand, monitor topic and sentiment and identify attractive places. DMOs can exploit insights to address its needs in terms of decision support for the management and development of the destination, the enhancement of destination attractiveness, the shaping of new marketing and communication strategies and the planning of tourist demand within the destination. Originality/value The originality of this work is in the use of BSD and analytics techniques for giving DMOs specific insights on a destination in a deep and wide fashion. Collected data are used with a multimodal analytic approach to build tourist characteristics, images, attitudes and preferred destination attributes, which represent for DMOs a unique mean for problem-solving, decision-making, innovation and prediction.


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