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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Alter S (1980) Decision Support Systems. Current Practice and Continuing Challenges. Reading, Mass. Addison-Wesley
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
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
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
Bertman S (1998) Hyper culture: The human cost of speed. Westport. CT: Praeger pub lishing
Bettman JR (1979)An Information Processing Theory of Consumer Choice. Reading. MA: Addison-Wesley
Bruner GC (1987) The effect of Problem Recognition Style on Information Seeking. J Academy of Marketing Science, vol. 15: 3341
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.
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
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
Conway DG, Koehler GJ (2000) Interface agents: Caveat mercator in electronic com merce. J Decision Support Systems, vol. 27: 355–366
Davis J (1999) E-Commerce still a risky business. E-Commerce Times
Engel JF, Kollat DT, Blackwell RL (1973) Consumer Behavior. 21 ed. New York.Holt, Rinehalt Winston
Fazlollahi B (2001) Electronic Commerce: Determining B2C Web site Functions In: Information Resources Management Association International Conference. Toronto. Ontario Canada
Glazer R (1991) Marketing in an Information-Intensive Environment: Strategic Implica tions of Knowledge as an Asset. J Marketing, vol. 55: 1–9
Howard J, Sheth J (1972) The Theory of Buyer Behavior. New York. Free Press
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
Jain V, Krishnapuram R(2001) Application of Fuzzy Sets in Personalization for e–Commerce, 0–7803–7078–3/01. IEEE. pp. 263–266
Jaleshgari RP (1999) Project maps minimize risk. J Information week. Issues 755: 138–143
Keen PG, Morton MS (1978) DSS: An Organizational Perspective. Reading: Addison-Wesley
Lawrence J (1994) Introduction to Neural Networks. California Scientific Software Press
Lee DH, Park D (1997) An efficient algorithm for fuzzy weighted average. J Fuzzy Sets and Systems, vol. 87: 39–45
Ma M (1999) Agents in E-Commerce. J Communications of ACM. vol. 42: 78–80
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
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
Nicosia FN (1982) Consumer Decision Processes: A Futuristic View. J Advances in Consumer Research, vol. 9: 17–19
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
O’Keefe RM, McEachern T (1998) Web-Based Customer Decision Support Systems.J Communications of the ACM, vol. 41: 71–78
Pereira RE (2000) Optimizing Human-Computer Interaction for the Electronic Com merce Environment. J Electronic Commerce Research, vol. 1
Phillips, Olson, Baumgartner (1995) Agent’s role on the presence and Advertising of,fectiveness
Scarl A Gebauer J (1999) Between Flexibility and Automation. J Computer-Mediated,Communication, vol. 5.
Sen S, Hernandez K (2000) A Buyer’s Agent. In: Proc. Of Fourth International Con ference on Autonomous Agents. Barcelona. Catalonia
Sharda R, Barr SH, McDonnell JC (1988) Decision Support System Effectiveness. A Review and an Empirical Test. J Management Science, vol. 34: 139–159
Shaw M, Gardner JD, Thomas H (1997) Research Opportunities in Electronic Commerce. Decision Support Systems, vol. 21: 149–156
Simon HA (1977) The New Science of Management Decision. Englewood Cliffs. N J.Prentice-Hall
Simon HA (1960) The New Science of Management Decision. New York. Harper
Spreng RS, MacKenzie, Olshavsky HR (1996) A reexamination of the Determinants of Consumer Satisfaction J Marketing vol. 60: 1532.
Sycara KP, Zeng D (1996) Multi-Agent Integration of Information Gathering and Decision Support. In: European Conference on Artificial Intelligence
Tsvetovat M, Sycara K (2000) Customer Colaitions in the Electronic Marketplace In:Proc. Of Fourth International Conference on Autonomous Agents. Barcelona. Catalonia.
Vahidov R, Elrod R (1999) Incorporating Critique and Argumentation in DSS. J Deci sion Support Systems, vol. 26: 249–258
Wat FKT,Ngai EWT (2001) Risk analysis in electronic commerce development using fuzzy set. 0–7803–7078–3/01 In: IEEE, pp 807–811
Wooldridge M, Jennings N (1995) Intelligent Agents. Theory and Practice. Knowledge Engineering Review, vol. 10: 115–152
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2004 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
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
Download citation
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