Looking Does not Automatically Lead to Booking: Analysis of Clickstreams on a Chinese Travel Agency Website

• Anuar, F., Xiang, Z., & U. Gretzel, (2009). Effectiveness of eBrochures: An analysis of use patterns. In W. Höpken, U. Gretzel, & R. Law (Eds.), Information and Communication Technologies in Tourism 2009 (pp. 333–342). Vienna, Austria: Springer Verlag.

  Chapter  Google Scholar 

• ASOCIO (2008). E-Commerce set to Rise 45% Among China SMBs in 2008. Accessed online (October 11, 2009) at: http://www.asocio.org/newsdetail2.php?newsid=107.

  Google Scholar 

• Bucklin, R. E. & C. Sismeiro (2009). Click Here for Internet Insight: Advances in Clickstream Data Analysis in Marketing. Journal of Interactive Marketing. 23(1): 35–48.

  Article  Google Scholar 

• Callaghan, D. (2000). Keeping e-carts moving. eWeek. 17(20):44

  Google Scholar 

• Chatterjee, P. (2008).Are unclicked ads wasted? Enduring effects of banner and pop-up ad exposure on brand memory and attitudes. Journal of Electronic Commerce Research,. 9(1):51–61.

  Google Scholar 

• Cho, C., Kang, J. & H. J., Cheon (2006). Online Shopping Hesitation. CyberPsychology & Behavior. 9(3): 261–274.

  Article  Google Scholar 

• Close, A. G. & M. Kukar-Kinne (2009). Beyond buying: Motivations behind consumers’ online shopping cart use. Journal of Business Research (In Press).

  Google Scholar 

• CNNIC (2009). CNNIC publishes 24^th Statistical Report on Internet Development in China. Accessed online (October 11, 2009) at: http://www.cnnic.net.cn/html/Dir/2009/07/28/5644.htm

  Google Scholar 

• eMarketer.com(2009a). What’s the Best Way to Improve Conversions? Accessed online (November 2, 2009) at: http://www.emarketer.com/Article.aspx?R=1007354.

  Google Scholar 

• eMarketer.com(2009b). Keys to E-Commerce Success. Accessed online (November 2, 2009) at: http://www.emarketer.com/Article.aspx?R=1007358.

  Google Scholar 

• eShopability.com (2009). eShopability:The Facts. Accessed online (October 7, 2009) at: http://www.eshopability.com/.

  Google Scholar 

• Green, M.V. (2005). It’s All About the Carts. Stores. 87(1), p. 100, 102

  Google Scholar 

• IBM. (2009). DB2 Intelligent Miner.Accessed online (April 22, 2009) at: http://www.ibm.com.

  Google Scholar 

• Hogarth, R.M., Michaud, C., & Mery, J. (1980). Decision behavior in urban development: a methodological approach and substantive considerations. Acta Psychologica 45:95–117.

  Article  Google Scholar 

• Kohavi, R & R Parekh. (2003).Ten supplementary analyses to improve e-commerce web sites. Proceedings of the Fifth WEBKDD workshop: Webmining as a premise to effective and intelligent Web Applications, ACM SIGKDD, Washington, DC, USA. 29–3

  Google Scholar 

• Lee, J., Podlaseck, M., Schonberg, E. & H. Robert, (2001).Visualization and Analysis of Clickstream Data of Online Stores for Understanding Web Merchandising, Data Mining and Knowledge Discovery. 5, 59–84.

  Article  Google Scholar 

• Leung, R. & R. Law, (2008). Analyzing a Hotel Website’s Access Paths. In O’Connor, P. Höpken, W. & Gretzel, U. (Eds.), Information and Communication Technologies in Tourism 2008. pp. 255–266. New York: Springer-Verlag, Wien.

  Chapter  Google Scholar 

• Li, H. & Suomi, R. (2008). Internet Adoption in Tourism Industry in China. In Oya, M., Uda, R., Yasunobu, C., (Eds.), IFIP International Federation for Information Processing, volume 286: Towards Sustainable Society on Ubiquitous Networks, pp. 197–208. Boston, MA: Springer.

  Chapter  Google Scholar 

• Li, L. & Buhalis, D. (2005). Predicting Internet Usage for Travel Bookings in China. In A. Frew (Ed.), Information and Communication Technologies in Tourism 2005, 429–439. Vienna, Austria: Springer Verlag.

  Chapter  Google Scholar 

• Lu, Z., Lu, J., & Zhang, C. (2002). Website Development and Evaluation in the Chinese Tourism Industry. Networks and Communication Studies, 16(3–4), 191–208.

  Google Scholar 

• MediaPost. (2001). Online shoppers drop carts. Accessed online (September 22, 2009) at: http://www.mediapost.com/publications/?fa=Articles.showArticle&art_aid=81467.

  Google Scholar 

• McEneaney, J. E. (2001). Graphic and numerical methods to assess navigation in hypertext. International Journal of Human-Computer Studies.55 (5),761–786.

  Article  Google Scholar 

• Milgram, N.A., Sroloff, B., & Rosenbaum, M. (1988). The procrastination of everyday life. Journal of Research in Personality. 22:197–212.

  Article  Google Scholar 

• Moore, S. & S., Mathews (2006). An Exploration of Online Shopping Cart Abandonment Syndrome—A Matter of Risk and Reputation. Journal of Website Promotion. 2(1/2):71–88.

  Google Scholar 

• O’Donnell, J. (2007). Buying online gets even easier. USA Today. 11/16/2007. Section: Money, Pg. 03b

  Google Scholar 

• Park, J. & Chung, H. (2009). Consumers’ travel website transferring behavior: analysis using clickstream data-time, frequency, and spending. The Service Industries Journal, 29(10), 1451–1463.

  Article  Google Scholar 

• Ram, S. (1987). A model of innovation resistance. Advances in Consumer Research 14:208–212.

  Google Scholar 

• Rogers, E.M. (1995). Diffusion of Innovations, 4th ed. New York: The Free Press.

  Google Scholar 

• Schegg, R., Steiner, T., Gherissi-Labben, T., & Murphy, J. (2005). Using Log File Analysis and Website Assessment to Improve Hospitality Websites. In A.J. Frew (Eds), Information and communication Technologies in Tourism 2005, pp. 566–576. New York: Springer-Verlag, Wien.

  Chapter  Google Scholar 

• Schwartz, M. (2001). The Care and Keeping of Online Customers. Computerworld. 35(2) Section: Technology.

  Google Scholar 

• Senecal, S., Kalczynski, P. J. & Nantel, J. (2005). Consumers’ decision-making process and their online shopping behaviour: A Clickstream analysis, Journal of Business Research. 58(11):1599–1608.

  Article  Google Scholar 

• Shenton, J. (2002) Shopping cart abandonment, Global Millennia Marketing. Accessed online (September 22, 2009) at: http://www.globalmillenniamarketing.com/shopping%20_cart_abandonment_survey.ht m.

  Google Scholar 

• Sproles, E.K., & Sproles, G.B. (1990). Consumer decision-making styles as a function of individual learning styles. Journal of Consumer Affairs. 24: 134–147

  Article  Google Scholar 

• Sproles, G.B., & Kendall, E.L. (1986). A methodology for profiling consumer’s decisionmaking styles. Journal of Consumer Affairs. 20:267–279.

  Google Scholar 

• Wang, H.,& S. Wang (2009). Adaptable Algorithm for Designed Web Process Sequence Data Analysis. Journal of Electronic Commerce Research, 10(2), 104–113.

  Google Scholar 

• Zanker, M., Fuchs, M., Höpken, W., Tuta, M. & N. Müller. (2008). Evaluating Recommender Systems in Tourism — A Case Study from Austria. In O’Connor, P. Höpken, W. Gretzel, U. (Eds.), Information and Communication Technologies in Tourism 2008. pp. 24–34. New York: Springer-Verlag, Wien

  Chapter  Google Scholar 

Download references