Business-to-consumer mobile agent-based Internet commerce system (MAGICS)

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dc.contributor.author Chen, Hui en_US
dc.contributor.author Lam, Perry en_US
dc.contributor.author Chan, Henry en_US
dc.contributor.author Dillon, Tharam en_US
dc.contributor.author Cao, Jiannong en_US
dc.contributor.author Lee, Raymond en_US
dc.date.accessioned 2009-12-21T03:52:42Z
dc.date.available 2009-12-21T03:52:42Z
dc.date.issued 2007 en_US
dc.identifier 2007002513 en_US
dc.identifier.citation Chen Hui et al. 2007, 'Business-to-consumer mobile agent-based Internet commerce system (MAGICS)', IEEE-INST Electrical Electronics Engineers Inc, vol. 37, no. 6, pp. 1174-1189. en_US
dc.identifier.issn 1094-6977 en_US
dc.identifier.other C1 en_US
dc.identifier.uri http://hdl.handle.net/10453/5797
dc.description.abstract We present MAGICS, a mobile agent-based system for supporting business-to-consumer electronic commerce (e-commerce) or mobile commerce (m-commerce) applications. To use the system, consumers first provide their buying requirements to a proxy/agent server through a Web browser or a wireless application protocol (WAP) terminal. Having obtained the requirements, mobile agents are generated to carry out tasks for the consumers including getting offers from merchants, evaluating offers, and even completing purchases. In the case of mobile commerce, consumers can generate a mobile agent to conduct a search and evaluation in the digital marketspace before making a purchase in the physical marketplace. To make it possible to choose an offer that best satisfies the consumer's requirement(s), we present a mathematical model for evaluating multiple decision factors. To test the basic functions of the mobile agent-based Internet commerce system (MAGICS), we have built a prototype system. To minimize the average cost of a product (including the cost of sending agents), we have also developed an analytical model that can determine how many agents should be sent to compare prices. Four different price distributions and some real price information are analyzed based on the model. The analysis provides valuable insights into the design of mobile agent-based shopping applications for m-commerce, in particular, and for e-commerce, in general. en_US
dc.publisher IEEE-INST Electrical Electronics Engineers Inc en_US
dc.relation.isbasedon http://dx.doi.org/10.1109/TSMCC.2007.900653 en_US
dc.subject Electronic commerce. en
dc.subject E-commerce. en
dc.subject Mobile agents. en
dc.title Business-to-consumer mobile agent-based Internet commerce system (MAGICS) en_US
dc.parent IEEE Transactions On Systems Man And Cybernetics Part C-Applications And Reviews en_US
dc.journal.volume 37 en_US
dc.journal.number 6 en_US
dc.publocation Piscataway, USA en_US
dc.identifier.startpage 1174 en_US
dc.identifier.endpage 1189 en_US
dc.cauo.name FEIT.School of Systems, Management and Leadership en_US
dc.conference Verified OK en_US
dc.for 080502 en_US
dc.personcode 0000042959 en_US
dc.personcode 0000042960 en_US
dc.personcode 0000042961 en_US
dc.personcode 030567 en_US
dc.personcode 0000042962 en_US
dc.personcode 0000042963 en_US
dc.percentage 100 en_US
dc.classification.name Mobile Technologies en_US
dc.classification.type FOR-08 en_US
dc.location.activity ISI:000250395300009 en_US
dc.description.keywords E-Commerce; Internet; Mobile Agents en_US


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