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Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 157))

Abstract

In an era of electronic commerce businesses and consumers have access to vast amounts of potentially important information. While this is beneficial for making informed decisions, the decision makers could easily become overwhelmed by the information, much of which may not be relevant. Thus, there is a pressing need for decision aiding tools that would effectively process, filter, and deliver the right information to the organizational and individual decision makers. In this work we argue that combination of DSS and agent technologies could prove a very powerful tool for rendering decision support in e-commerce application. We propose an architecture for a multi-agent DSS for e-commerce, and describe a prototype system for making on-line investment decisions.

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References

  1. Alter S (1980) Decision Support Systems. Current Practice and Continuing Challenges. Reading, Mass. Addison-Wesley

    Google Scholar 

  2. Ardissono L, Barbero C, Goy A, Petrone G(1999) An Agent Architecture for Personal ized Web Stores. In: Proc. Of Third International Conference on Autonomous Agents. Seattle. Washington

    Google Scholar 

  3. Barbuceanu M, Lo WK (2000) A Multi-Attribute Utility Theoretic Negotiation Architec ture for Electronic Commerce. In: Proc. of Fourth International Conference on Autonomous Agents. Barcelona. Catalonia

    Google Scholar 

  4. Berndt D J (2001) Consumer Decision Support Systems. A Health Care Case Study. In: Proc. of the 34th Hawaii International Conference on System Sciences. Hawaii

    Google Scholar 

  5. Bertman S (1998) Hyper culture: The human cost of speed. Westport. CT: Praeger pub lishing

    Google Scholar 

  6. Bettman JR (1979)An Information Processing Theory of Consumer Choice. Reading. MA: Addison-Wesley

    Google Scholar 

  7. Bruner GC (1987) The effect of Problem Recognition Style on Information Seeking. J Academy of Marketing Science, vol. 15: 3341

    Google Scholar 

  8. Cacioppo J, Petty R, Kao C (1986) Central and Periferial Routes to Persuasion: An Individual Difference Perspective J Journal of Personality and Social Psychology-vol. 51: 1032–1043.

    Google Scholar 

  9. Chen Q, Hsu M, Dayal U, Griss M, (2000) Multi-Agent Cooperation. Dynamic Work flow and XML for E-Cornmerce. In: Proc. Of Fourth International Conference on Autonomous Agents. Barcelona. Catalonia

    Google Scholar 

  10. Collins J, BilotC, Gini M (2000) Mixed-Initiative Decision Support in Agent-Based Automated Contracting In: Proc. Of Fourth International Conference on Autonomous Agents. Barcelona. Catalonia

    Google Scholar 

  11. Conway DG, Koehler GJ (2000) Interface agents: Caveat mercator in electronic com merce. J Decision Support Systems, vol. 27: 355–366

    Google Scholar 

  12. Davis J (1999) E-Commerce still a risky business. E-Commerce Times

    Google Scholar 

  13. Engel JF, Kollat DT, Blackwell RL (1973) Consumer Behavior. 21 ed. New York.Holt, Rinehalt Winston

    Google Scholar 

  14. Fazlollahi B (2001) Electronic Commerce: Determining B2C Web site Functions In: Information Resources Management Association International Conference. Toronto. Ontario Canada

    Google Scholar 

  15. Glazer R (1991) Marketing in an Information-Intensive Environment: Strategic Implica tions of Knowledge as an Asset. J Marketing, vol. 55: 1–9

    Article  Google Scholar 

  16. Howard J, Sheth J (1972) The Theory of Buyer Behavior. New York. Free Press

    Google Scholar 

  17. Hsu T, Chu KM, Chan H (2000) The fuzzy clustering on market segment. In: the Ninth IEEE Intl. Conf. on Fuzzy Systems, vol. 2: pp 621–626

    Chapter  Google Scholar 

  18. Jain V, Krishnapuram R(2001) Application of Fuzzy Sets in Personalization for e–Commerce, 0–7803–7078–3/01. IEEE. pp. 263–266

    Google Scholar 

  19. Jaleshgari RP (1999) Project maps minimize risk. J Information week. Issues 755: 138–143

    Google Scholar 

  20. Keen PG, Morton MS (1978) DSS: An Organizational Perspective. Reading: Addison-Wesley

    Google Scholar 

  21. Lawrence J (1994) Introduction to Neural Networks. California Scientific Software Press

    Google Scholar 

  22. Lee DH, Park D (1997) An efficient algorithm for fuzzy weighted average. J Fuzzy Sets and Systems, vol. 87: 39–45

    Article  Google Scholar 

  23. Ma M (1999) Agents in E-Commerce. J Communications of ACM. vol. 42: 78–80

    Article  Google Scholar 

  24. Miles GE, Howes A (2000) A Framework for Understanding Human Factors in Web-Based Electronic Commerce. J International Journal of Human-Computer Studies, vol. 52: 131–163

    Article  Google Scholar 

  25. Muller JP, Pischel M (1999) Doing Business in the Information Marketplace: A Case Study. In: Proc. Of Third International Conference on Autonomous Agents. Seattle. Washington

    Google Scholar 

  26. Nicosia FN (1982) Consumer Decision Processes: A Futuristic View. J Advances in Consumer Research, vol. 9: 17–19

    Google Scholar 

  27. Nunes-Suarez J, O’Sullivan D, Brouchoud H, Cros P, Moore C, Byrne C (2000) Experiences in the Use of FIPA Agent Technologies for the Development of a Personal Travel Application. In: Proc. Of Fourth International Conference on Autonomous Agents. Barcelona. Catalonia

    Google Scholar 

  28. O’Keefe RM, McEachern T (1998) Web-Based Customer Decision Support Systems.J Communications of the ACM, vol. 41: 71–78

    Google Scholar 

  29. Pereira RE (2000) Optimizing Human-Computer Interaction for the Electronic Com merce Environment. J Electronic Commerce Research, vol. 1

    Google Scholar 

  30. Phillips, Olson, Baumgartner (1995) Agent’s role on the presence and Advertising of,fectiveness

    Google Scholar 

  31. Scarl A Gebauer J (1999) Between Flexibility and Automation. J Computer-Mediated,Communication, vol. 5.

    Google Scholar 

  32. Sen S, Hernandez K (2000) A Buyer’s Agent. In: Proc. Of Fourth International Con ference on Autonomous Agents. Barcelona. Catalonia

    Google Scholar 

  33. Sharda R, Barr SH, McDonnell JC (1988) Decision Support System Effectiveness. A Review and an Empirical Test. J Management Science, vol. 34: 139–159

    Google Scholar 

  34. Shaw M, Gardner JD, Thomas H (1997) Research Opportunities in Electronic Commerce. Decision Support Systems, vol. 21: 149–156

    Article  Google Scholar 

  35. Simon HA (1977) The New Science of Management Decision. Englewood Cliffs. N J.Prentice-Hall

    Google Scholar 

  36. Simon HA (1960) The New Science of Management Decision. New York. Harper

    Google Scholar 

  37. Spreng RS, MacKenzie, Olshavsky HR (1996) A reexamination of the Determinants of Consumer Satisfaction J Marketing vol. 60: 1532.

    Google Scholar 

  38. Sycara KP, Zeng D (1996) Multi-Agent Integration of Information Gathering and Decision Support. In: European Conference on Artificial Intelligence

    Google Scholar 

  39. Tsvetovat M, Sycara K (2000) Customer Colaitions in the Electronic Marketplace In:Proc. Of Fourth International Conference on Autonomous Agents. Barcelona. Catalonia.

    Google Scholar 

  40. Vahidov R, Elrod R (1999) Incorporating Critique and Argumentation in DSS. J Deci sion Support Systems, vol. 26: 249–258

    Article  Google Scholar 

  41. Wat FKT,Ngai EWT (2001) Risk analysis in electronic commerce development using fuzzy set. 0–7803–7078–3/01 In: IEEE, pp 807–811

    Google Scholar 

  42. Wooldridge M, Jennings N (1995) Intelligent Agents. Theory and Practice. Knowledge Engineering Review, vol. 10: 115–152

    Google Scholar 

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© 2004 Springer-Verlag Berlin Heidelberg

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Aliev, R.A., Fazlollahi, B., Aliev, R.R. (2004). Soft Computing in Electronic Business. In: Soft Computing and its Applications in Business and Economics. Studies in Fuzziness and Soft Computing, vol 157. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-44429-9_9

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  • DOI: https://doi.org/10.1007/978-3-540-44429-9_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-53588-8

  • Online ISBN: 978-3-540-44429-9

  • eBook Packages: Springer Book Archive

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