A Study of Shopping System Model Based on Agent in EC

Abstract:

Typically, online transactions require a significant level of human intervention. Customers undertake the search for products, services, potential vendors and business partners. They evaluate alternatives, decide what goods to buy and when, from which vendor, and how much they are willing to pay for. They engage in potential negotiations, carry out the transactions and so on. As those markets become mature, new products and services, as well as new practices, are beginning to appear. There is already ample evidence that agent-based technology will be crucial for these developments, reflecting that both buyers and sellers being vigorously seek techniques to improve their performance. This work surveys several of these agents that help electronic commerce systems by describing their roles in the context of a Consumer Buying Behavior (CBB) model.

• Periodical: Applied Mechanics and Materials (Volume 510)
• Pages: 283-287
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.510.283
• Online since: February 2014
• Authors: Hong Gang Li*
• Keywords: Electronic Market, Marketing, Software Agents, Statistics, Technology for E-Commerce

References

[1] Maes P. Agents that reduce work and information overload[J]. Communications of the ACM, 1994, 37(7): 31-40.

[2] Runyon K, Stewart D. Consumer behavior (3rd ed. )[M]. [S. l. ]: Merrill Publishing Company, (1987).

[3] Hawkins D, Coney K, Best R. Consumer behavior: implications for marketing strategy[M]. [S. l. ]: BusinessPublications Inc., (1980).

[4] Nicosia F. Consumer decision processes: marketing and advertising implications[M]. NJ: Prentice-Hall, (1966).

[5] Howard J, Sheth J. The theory of buyer behavior[M]. New York: John Wiley & Sons, (1969).

[6] Engel J, Blackwell R. Consumer behavior (4th ed. )[M]. [S. l. ]: CBS College Publishing, (1982).

[7] Maria Fasli. Agent technology for e-commerce[M]. [S. l. ]: New York: John Wiley & Sons, (2007).

[8] Andreasen A. Attitudes and customer behavior: a decision model[M]. Preston L. (ed. ), New Research in Marketing. California: University of California Press, (1965).

[9] Terpsidis I, Moukas A, Pergioudakis B, et al. The potential of electronic commerce in re-engineering consumer-retail relationships through intelligent agents[M]. Roger JY, Stanford-Smith B, Kidd P (eds. ), Advances in Information Technologies. [S. l. ]: The Business Challenge, IOS Press, (1997).