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DEVELOPING AGENT TOOLS AND DECISION SUPPORT SYSTEMS FOR E-COMMERCE

Zainul Rashid, Yang Zaliza (2005) DEVELOPING AGENT TOOLS AND DECISION SUPPORT SYSTEMS FOR E-COMMERCE. Universiti Teknologi Petronas. (Unpublished)

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Abstract

Despite the explosive growth ofelectronic commerce and the rapid increasing number of customer who use interactive multimedia, such as the World Wide Web for purchase information search andonline shopping, very little is known about how customers make purchase decision in such settings. Thus, in the rush to open their website, e-commerce sites too often fail to support consumer decision making and search, resulting in a loss of sales and the loss of loyal customers. To overcome this weakness in the traditional ecommerce website, this project reviews the open problems that e-commerce website poses to the framework and to existing search engine technology for online shopping. Besides that, this research also involves design of the methodology for the development in supporting decision support making systems. Generally, the development of this ecommerce site showed that, the traditional e-commerce applications do need to be improving by integrating anappropriate decision making system byusing an Intelligent Agent to aid the customers in their purchase decision-making process. Scope of study will focus into Business-to-Customer (B2C) models. In depth research will be conducted: survey, interviews, self-assessment, and online researches and from other written materials. The result can be determine when the developed e-commerce site used extensively onthe Web, that perform tasks such as retrieving and delivering information and automating repetitive tasks bythedeveloping Intelligent Agent software or services. It also used as tools to track Webbehaviorwhich they can even "watch" as user's surfing site and recordhow often they visit certain sites. Later, they can be used to automatically download the favorite sites, let them know whentheir favorite site has been updated, and even tailor specific pages to suit their tastes.

Item Type: Final Year Project
Academic Subject : Academic Department - Information Communication Technology
Subject: Z Bibliography. Library Science. Information Resources > ZA Information resources > ZA4450 Databases
Divisions: Sciences and Information Technology > Computer and Information Sciences
Depositing User: Users 2053 not found.
Date Deposited: 30 Sep 2013 16:55
Last Modified: 25 Jan 2017 09:46
URI: http://utpedia.utp.edu.my/id/eprint/7621

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