Traveller-Generated Contents for Destination Image Formation: Mainland China Travellers to Taiwan as a Case Study

2015 ◽  
Vol 32 (5) ◽  
pp. 518-533 ◽  
Author(s):  
Yan Ru Li ◽  
Yao Chin Lin ◽  
Ping Heng Tsai ◽  
Yung Yueh Wang
2020 ◽  
pp. 144078332097870
Author(s):  
Elaine Jeffreys ◽  
Pan Wang

This article analyses trends in Chinese–international marriages and divorces, using Australia, a major migrant-receiving country, as a comparative case study. In exploring the recent rise of ‘Chinese–foreign’ marriage in the People’s Republic of China (PRC), we show that Chinese–international marriage within mainland China is a small, gendered phenomenon that largely involves Chinese women marrying men from other Asian societies. By examining unique data published by the Australian Bureau of Statistics, we reveal that most marriages involving PRC-born people in contemporary Australia are between two people born in China. But the displacement of Chinese intimate relationships to a non-Asian country results in significant behavioural divergences from couples ‘at home’, especially regarding prior cohabitation. Marriages solely involving PRC-born couples in Australia are also typically less enduring than marriages to non-Chinese. We argue that these differences underscore the roles of country-specific immigration policies and labour mobility patterns in shaping unpredicted family formation behaviour.


2003 ◽  
Vol 8 (2) ◽  
pp. 253-257 ◽  
Author(s):  
METIN KOZAK ◽  
ENRIQUE BIGNÉ ◽  
ANA GONZÁLEZ ◽  
LUISA ANDREU

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.


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.


2017 ◽  
Vol 1 (1) ◽  
pp. 81 ◽  
Author(s):  
Ni Wayan Marsha Satyarini ◽  
Myrza Rahmanita ◽  
Sakchai Setarnawat

This study examines the effects of the destination image to tourist intention and decision to visit tourism destination in Pemuteran Village, Bali. Destination image is an independent variable, tourist intention to visit serves as an intervening variable and decision to visit is a dependent variable. Explanatory research with quantitative method is employed. The number of sample is 112 respondents. Purposive sampling techniques is applied with criteria of Pemuteran village tourists. Data are collected with questionnaires and processed with path analysis. These results indicate that the variable destination image has a direct and significant effect on tourist intention to visit by 11.3%. Variable destination image has a direct and significant influence on the decision to visit by 37.5%. Variable tourist intention to visit has been direct and significant influence on the decision to visit amounted to 16.2%. Based on these results, Pemuteran village should keep trying to build a positive image and to improve the communication between the local government and local communities to strengthen cooperation to improve the natural environment in Pemuteran village.


2012 ◽  
Vol 3 (1) ◽  
pp. 1-31
Author(s):  
Elisabeth Gumpenberger

Abstract This article presents the results of a case study conducted in Bó’áo, a small town on Hǎinán Island currently undergoing rapid transformation. Triggered by the founding of the Boao Forum for Asia, an unknown fishing village has turned into an important location for conferences and tourism. On the basis of Grounded Theory this case study focuses on migrant workers from mainland China, using qualitative semi-structured interviews in order to explore the causes behind this migration influx to Bó’áo. In addition, this paper investigates the way these migrants organise their lives in this small town by raising the question of social integration within the local society—a topic largely neglected in the general academic discourse in and on China. The results of this study show that the level of education determines both reasons for migration as well as the way the migrant workers organise their everyday lives and the way in which they interact with locals. This paper also scrutinises common concepts of integration, e.g. the need to acquire the language spoken by the majority.


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