Volume 2, Issue 4, December 2017, Page: 109-113
Chinese Individualist Travels in Taiwan: Must Go VS. Want to Go
Cheng-Hsi Fang, Department of Marketing and Distribution, Chien Hsin University, Taoyuan, Taiwan
Received: Oct. 12, 2017;       Accepted: Nov. 1, 2017;       Published: Dec. 18, 2017
DOI: 10.11648/j.ajdmkd.20170204.13      View  1351      Downloads  75
This study examined the relationship between tourist attractions in Taiwan among backpackers from Mainland China. In particular, we collected itineraries shared online by backpackers. The collected data were analyzed using content analysis and SNA. Comparison of where they want to go and where they actually go reveals interesting insights that are helpful in order to examine preference and the decision-making process of Mainland Chinese backpackers. These results can assist tourism practitioners and policy makers to better understand the perception of Taiwan among Chinese backpackers. Managerial implications will be discussed.
Backpacking, Tourist Experiences, Blogs, Self-Serve Travel, Individual Tour, Social Network Analysis
To cite this article
Cheng-Hsi Fang, Chinese Individualist Travels in Taiwan: Must Go VS. Want to Go, American Journal of Data Mining and Knowledge Discovery. Vol. 2, No. 4, 2017, pp. 109-113. doi: 10.11648/j.ajdmkd.20170204.13
Copyright © 2017 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Baggio, R. (2008). Network analysis of a tourism destination. (Doctoral dissertation, Australia: University of Queensland), Retreieved from htt;://www.iby.it/truism/papers/baggio_phd-thesis.pdf
Banyai, M., & Glover, T. D. (2012). Evaluating research methods on travel blogs. Journal of Travel Research, 51 (3), 267-277.
D’Agata, R., Gozzo, S., & Tomaselli, V. (2013). Network analysis approach to map tourism mobility. Quality & Quantity, 47 (6).
Freeman, L. C. (1979). Centrality in social network: I. Conceptual clarification. Social Networks, 1, 215–239.
Freeman, L. (2004). The development of social network analysis. A Study in the Sociology of Science.
Lau, G., & McKercher, B. (2006). Understanding tourist movement patterns in a destination: A GIS approach. Tourism and Hospitality Research, 7 (1), 39-49.
Martino, F., & Spoto, A. (2006). Social Network Analysis: A brief theoretical review and further perspectives in the study of Information Technology. Psych Nology Journal, 4 (1), 53-86.
Ryan, C., & Mohsin, A. (2001). Backpackers: Attitudes to the ‘outback’. Journal of Travel & Tourism Marketing, 10 (1), 69-92.
Shih, H. Y. (2006). Network characteristics of drive tourism destinations: An application of network analysis in tourism. Tourism Management, 27 (5), 1029-1039.
Walle, A. H. (1997). Quantitative versus qualitative tourism research. Annals of Tourism Research, 24 (3), 524-536.
Wang, Y., Li, X., & Lai, K. (2017). A Meeting of the Minds: Exploring the Core-Periphery Structure and Retrieval Paths of Destination Image Using Social Network Analysis. Journal of Travel Research, 1-15.
Yang, O. L. W., Hui-Min, G. U., & RYAN, C. (2009). Itinerary planning and structured travel-preferences by outbound Chinese holidaymakers. Anatolia, 20 (1), 119-133.
Zhang, W., & Thill, J.-C. (2017). Detecting and visualizing cohesive activity-travel patterns: A network analysis approach. Computers, Environment and Urban Systems, 66, 117-129.
Browse journals by subject