Predicting on-line task completion with clickstream complexity measures: A graph-based approach

International Journal of Electronic Commerce

Volumn 10, Issue 3, 2006, Pages 121-141

  Kalczynski, Pawel J ^a   Senecal, Sylvain ^b   Nantel, Jacques ^b  

^a UNIVERSITY OF TOLEDO   (United States)

^b HEC MONTRÉAL   (Canada)

Author keywords

Clickstream analysis; Graph theory; On line task completion

Indexed keywords

EID: 33745029572     PISSN: 10864415     EISSN: None     Source Type: Journal    
DOI: 10.2753/JEC1086-4415100305     Document Type: Article

References (17)

1. Botafogo, R.A.; Rivlin, E.; and Shneiderman, B. Structural analysis of hypertexts. ACM Transactions on Information Systems, 10, 2 (1992), 142-180.
2. Bucklin, R.E., and Sismeiro, C. A model of Web site browsing behavior estimated on clickstream data. Journal of Marketing Research, 40, 3 (2003), 249-267.
3. Bush, V. As we may think. Atlantic Monthly (July 1945), 101-108.
4. Chen, C. Structuralizing and visualizing the WWW by generalised similarity analysis. In M. Bernstein, L. Carr, and K. Øterbye (eds.), The Eighth ACM Conference on Hypertext. New York: ACM Press, 1997, pp. 177-186.
5. Goldfarb, A. Analyzing Website choice using clickstream data. In M. Baye (ed.), Advances in Applied Microeconomics, vol. 11: The Economics of the Internet and E-commerce. Oxford, UK: Elsevier Science, 2002, pp. 209-230.
6. Hair, J.F.; Anderson, R.E.; Tatham, R.L.; and Black, W.C. Multivariate Data Analysis. Upper Saddle River, NJ: Prentice Hall, 1998.
7. Harary, F. Status and contrastatus. Sociometry, 22 (1959), 23-43.
8. Harary, F. Graph Theory. Boulder, CO: Westview Press, 1994.
9. Johnson, E.J.; Moe, W.W.; Fader, P.S.; Bellman, S.; and Lohse, J. On the depth and dynamics of World Wide Web shopping behavior. Technical report, University of Pennsylvania, 2000.
10. Johnson, E.J.; Moe, W.W.; Fader, P.S.; Bellman, S.; and Lohse, J. On the depth and dynamics of World Wide Web shopping behavior. Management Science, 50, 3 (2004), 299-308.
11. Li, S.; Montgomery, A.L.; Srinivasan, K.; and Liechty, J.C. Predicting online purchase conversion using Web path analysis. Technical report, Carnegie Mellon University, 2002.
12. McEneaney, J.E. Graphic and numerical methods to assess navigation in hypertext. International Journal of Human-Computer Studies, 55, 5 (2001), 761-786.
13. Moe, W.W. Buying, searching, or browsing: Differentiating between online shoppers using in-store navigational clickstream. Journal of Consumer Psychology, 13, 1/2 (2003), 29-40.
14. Moe, W.W., and Fader, P.S. Uncovering patterns in cybershopping. California Management Review, 43, 4 (2001), 106-117.
15. Moe, W.W.; and Fader, P.S. Capturing evolving visit behavior in clickstream data. Journal of Interactive Marketing, 18, 1 (2004), 5-19.
16. Park, Y., and Fader, P.S. Modeling browsing behavior at multiple Websites. Marketing Science, 23, 3 (2004), 280-303.
17. Senecal, S.; Kalczynski, P.J.; and Nantel, J. Consumers' decision-making process and their online shopping behavior: A clickstream analysis. Journal of Business Research, 58, 11 (2005), 1599-1608.