Designing for ROI: Toward a value-driven discipline for e-commerce systems design

Proceedings of the Annual Hawaii International Conference on System Sciences

Volumn 2002-January, Issue , 2002, Pages 2663-2672

  Hahn, J ^a   Kauffman, R J ^a   Park, Jinsoo ^a  

^a UNIVERSITY OF MINNESOTA   (United States)

Author keywords

Companies; Data mining; Electronic commerce; Electronics industry; Environmental management; Failure analysis; Investments; System analysis and design; Usability; Web page design

Indexed keywords

COMMERCE; DATA MINING; DESIGN; ELECTRONIC COMMERCE; ELECTRONICS INDUSTRY; ENVIRONMENTAL MANAGEMENT; FAILURE ANALYSIS; INDUSTRY; INVESTMENTS; SYSTEMS ANALYSIS; WEB DESIGN; WEBSITES;

BUSINESS PERFORMANCE; COMPETITIVE ENVIRONMENT; DESIGN METHODOLOGY; E-COMMERCE SYSTEMS; SYSTEM ANALYSIS AND DESIGN; TOOLS AND METHODS; USABILITY; WEB PAGE DESIGN;

INFORMATION MANAGEMENT;

EID: 33751309258     PISSN: 15301605     EISSN: None     Source Type: Journal    
DOI: 10.1109/HICSS.2002.994202     Document Type: Article

References (25)

1. Souza, R., Manning, H., Sonderegger, P., Roshan, S. and Dorsey. (2001). "Get ROI From Design" (Forrester Research Report). Cambridge, MA: Forrester Research Inc., June 2001.
2. Rizzuti, K. and Dickinson, J. (2000). "Satisfying the Experienced On-Line Shopper: Global E-Shopping Survey" (Research Report). London: A.T. Kearney 2000.
3. Rehman, A. (2000). "Holiday 2000 E-Commerce: Avoiding $14 Billion in 'Silent Losses'" (Research Report). New York, NY: Creative Good, October 2000.
4. Rajgopal, S., Venkatachalam, M. and Kotha, S. (2001). "Does the Quality of Online Customer Experience Create a Sustainable Competitive Advantage for E-commerce Firms?" (Working Paper). Seattle, WA: School of Business Administration, University of Washington, April 2001.
5. Wallach, S. L. (2001, 7/9/2001). Usability Improvements Payoff for Web Site, ITworld.com. Available: www.itworld.com/nl/sup-mgr/07092001/
6. Srivastava, J., Cooley, R., Deshpande, M. and Tan, P.-N. (2000). "Web Usage Mining: Discovery and Applications of Usage Patterns from Web Data". SIGKDD Explorations, 1(2), pp. 12-23.
7. Borges, J. and Levene, M. (1998). "Mining Association Rules in Hypertext Databases". Proceedings of the 4th International Conference on Knowledge Discovery and Data Mining (KDD '98), New York, NY, August 27-31, Menlo Park: CA: AAAI Press, pp. 149-153.
8. Heer, J. and Chi, E. H. (2001). "Identification of Web User Traffic Composition using Multi-Modal Clustering and Information Scent". Proceedings of the 2001 SIAM Conference on Data Mining (Workshop on Web Mining) (SDM 2001), Chicago, IL, April 7, Philadelphia, PA: SIAM Press, pp. 51-58.
9. Murray, D. and Durrell, K. (1999). "Inferring Demographic Attributes of Anonymus Internet Users". Proceedings of the 5th ACM International Conference on Knowledge Discovery and Data Mining (WEBKDD '99 Workshop) (SIGKDD '99), San Diego, CA, August 15, New York, NY: Springer, pp. 7-20.
10. Pitkow, J., E. and Pirolli, P. L. T. (1999). "Mining Longest Repeated Subsequences to Predict World Wide Web Surfing". Proceedings of the 2nd USENIX Symposium on Internet Technologies and Systems (USITS '99), Boulder, CO, October 11-14, Los Alamitos, CA: IEEE Computer Society.
11. Büchner, A. G., Baumgarten, M., Anand, S. S., Mulvenna, M. D. and Hughes, J. G. (1999). "Navigation Pattern Discovery from Internet Data". Proceedings of the 5th ACM International Conference on Knowledge Discovery and Data Mining (WEBKDD '99 Workshop) (SIGKDD '99), San Diego, CA, August 15, New York, NY: Springer, pp. 25-30.
12. Berry, M. J. A. and Linoff, G. (1997). Data Mining Techniques for Marketing, Sales, and Customer Support. New York, NY: John Wiley and Sons.
13. Ansari, S., Kohavi, R., Mason, L. and Zheng, Z. (2000). "Integrating E-Commerce and Data Mining: Architecture and Challenges". Proceedings of the 6th ACM International Conference on Knowledge Discovery and Data Mining (WEBKDD 2000 Workshop) (SIGKDD 2000), Boston, MA, August 20-23, New York, NY: ACM Press.
14. Pirolli, P. L. T. and Card, S. K. (1999). "Information Foraging". Psychological Review, 106(4), pp. 643-675.
15. Chi, E. H., Pirolli, P. L. T., Chen, K. and Pitkow, J. E. (2001). "Using Information Scent to Model User Information Needs and Actions on the Web". Proceedings of the 2001 ACM Conference on Human Factors in Computing Systems (CHI 2001), Seattle, WA, March 31-April 5, ACM Press, pp. 490-497.
16. Huberman, B. A., Pirolli, P. L. T., Pitkow, J. E. and Lukose, R. M. (1998). "Strong Regularities in World Wide Web Surfing". Science, 280(3), pp. 95-97.
17. Miles, G. E., Howes, A. and Davies, A. (2000). "A Framework for Understanding Human Factors in Web-Based Electronic Commerce". International Journal of Human-Computer Studies, 52(1), pp. 131-163.
18. Maes, P., Guttman, R. H. and Moukas, A. G. (1999). "Agents that Buy and Sell". Communications of the ACM, 42(3), pp. 81-91.
19. O'Keefe, R. M. and McEachern, T. (1998). "Web-Based Customer Decision Support Systems". Communications of the ACM, 41(3), pp. 71-78.
20. Schubert, P. and Selz, D. (1999). "Web Assessment: Measuring the Effectiveness of Electronic Commerce Sites Going Beyond Traditional Marketing Paradigms". In R. Sprague (Ed.), Proceedings of the 32nd Hawaii International Conference on System Sciences (HICSS 32), Maui, HI, January 5-8, Los Alamitos, CA: IEEE Computer Society Press.
21. Davern, M. J. and Kauffman, R. J. (2000). "Discovering Potential and Realized Value from Information Technology Investments". Journal of Management Information Systems, 16(4), pp. 121-143.
22. Büchner, A. G. and Mulvenna, M. D. (1998). "Discovering Internet Marketing Intelligence through Online Analytical Web Usage Mining". SIGMOD Record, 27(4), pp. 54-61.
23. Nielsen, J. (1993). Usability Engineering. San Francisco, CA: Morgan Kaufmann Publishers.
24. Carroll, J. M. (1995). Scenario-Based Design. New York, NY: Wiley.
25. Cooper, A. (1999). The Inmates are Running the Asylum: Why High-Tech Products Drive Us Crazy and How to Restore the Sanity. Indianapolis, IN: SAMS.