Media Discourse on Big Data and Tourism Attractions in China
Increasingly, with the introduction of “smart destination” by the Chinese central government, big data becomes a popular phrase for tourism practitioners with the promise to transform the tourism industry in China by generating better answers to existing and new questions. Excited by the promising benefits of big data, many tourism attraction agencies have started to use big data to re-engineer their traditional business models. These benefits include better prediction models and “smart” management that could result in continuous improvement of various management and marketing strategies. However, nearly an equal number of tourism practitioners in China expressed their growing concerns about the actual benefits big data can bring. This book chapter reviews recent practices of big data and tourism attraction management in China through media discourse. It examines the interaction of tourism attraction management agencies with other stakeholders on the use of big data through a network perspective. By understanding big data’s current practices in China, it aims to paint a clear picture of its development and to help researchers position themselves in the process to identify future research areas, which would ultimately help to harden the potential of big data in tourism.
KeywordsBig data Smart destination Chinese government Internet plus Tourism attraction agencies
- Bastian, M., Heymann, S., & Jacomy, M. (2009). Gephi: An open source software for exploring and manipulating networks. ICWSM, 8, 361–362.Google Scholar
- Bednarek, M. (2006). Evaluation in media discourse: Analysis of a newspaper corpus. London: A&C Black.Google Scholar
- CBO. (2016). Which online retailer’s data is the most attractive [Online]. Available: https://baijia.baidu.com/s?old_id=556851 [Accessed].
- Cheng, M., & Edwards, D. (2017). A comparative automated content analysis approach on the review of the sharing economy discourse in tourism and hospitality. Current Issues in Tourism, 1–15.Google Scholar
- Cheng, M., Edwards, D., Darcy, S., & Redfern, K. (2016). A tri-method approach to a review of adventure tourism literature: Bibliometric analysis, content analysis and a quantitative systematic literature review. Journal of Hospitality and Tourism Research, 1–24. https://doi.org/10.1177/1096348016640588.
- Cheng, M., Wong, I. K. A., Wearing, S., & McDonald, M. (2017). Ecotourism social media initiatives in China. Journal of Sustainable Tourism, 25(3), 416–432.Google Scholar
- Chiera, B. A., & Korolkiewicz, M. W. (2017). Visualizing big data: Everything old is new again. In F. P. G. Márquez & B. Lev (Eds.), Big data management. Philadelphia: Springer.Google Scholar
- China Tourism News. (2017). How should tourism industry embrace big data [Online]. Available: http://www.cnta.gov.cn/xxfb/jdxwnew2/201702/t20170209_814427.shtml [Accessed].
- CNTA Information Center. 2015. Welcome China’s “Tourism +” Era.Google Scholar
- He, Q. (1999). Knowledge discovery through co-word analysis. Library Trends, 48, 133–133.Google Scholar
- ly.com. (2015). 2014 report on internet coverage in tourism attractions. Beijing: Ly.com.Google Scholar
- Mccombs, M. (2013). Setting the agenda: The mass media and public opinion. Cambridge: Polity Press.Google Scholar
- Snijders, C., Matzat, U., & Reips, U.-D. (2012). “Big Data”: Big gaps of knowledge in the field of internet science. International Journal of Internet Science, 7, 1–5.Google Scholar
- Xinhua News. (2016). From tourism to big data, Chinese province presents itself in Silicon Valley [Online]. Available: http://news.xinhuanet.com/english/2016-09/29/c_135720819.htm [Accessed].