Modeling of the b-cart based agent system in B2B EC

Gyoo Gun Lim, Soo Hyun Park, Jinhwa Kim

Research output: Contribution to journalConference article

2 Citations (Scopus)

Abstract

In B2B EC area, the need for agent based system for desktop purchasing is increasing. To simulate agent based B2B e-Commerce, we model the b-cart based B2B agent framework. B-cart implies a buyer's shopping cart which a buyer carries to the seller's sites. The modeled system is designed to provide an effective architecture for employee's direct desktop purchasing from external sellers' e-marketplaces. In this paper, we propose the thirteen features of b-cart based agent system in B2B EC; Identification, User Dialog, Collection, Trashing, Individual Purchase Decision Support, Organizational Purchase Decision Support, Negotiation, Ordering, Payment, Tracking, Recording, Record Transmission, Knowledge Maintenance. Based on these features, we design the buying process, the system architecture, and message interfaces. We simulate the effect of the system by making a performance evaluation model. From this research we show a possibility and efficiency of the b-cart based agent system.

Original languageEnglish
Pages (from-to)279-288
Number of pages10
JournalLecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)
Volume3398
StatePublished - 2005 Oct 24
EventThird Asian Simulation Conference, Asiasim 2004 - Jeju Island, Korea, Republic of
Duration: 2004 Oct 42004 Oct 6

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Agent-based Systems
Purchasing
Decision Support
Modeling
Evaluation Model
Performance Model
Electronic Commerce
System Architecture
Performance Evaluation
Maintenance
Imply
Personnel
Model

Cite this

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title = "Modeling of the b-cart based agent system in B2B EC",
abstract = "In B2B EC area, the need for agent based system for desktop purchasing is increasing. To simulate agent based B2B e-Commerce, we model the b-cart based B2B agent framework. B-cart implies a buyer's shopping cart which a buyer carries to the seller's sites. The modeled system is designed to provide an effective architecture for employee's direct desktop purchasing from external sellers' e-marketplaces. In this paper, we propose the thirteen features of b-cart based agent system in B2B EC; Identification, User Dialog, Collection, Trashing, Individual Purchase Decision Support, Organizational Purchase Decision Support, Negotiation, Ordering, Payment, Tracking, Recording, Record Transmission, Knowledge Maintenance. Based on these features, we design the buying process, the system architecture, and message interfaces. We simulate the effect of the system by making a performance evaluation model. From this research we show a possibility and efficiency of the b-cart based agent system.",
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Modeling of the b-cart based agent system in B2B EC. / Lim, Gyoo Gun; Park, Soo Hyun; Kim, Jinhwa.

In: Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), Vol. 3398, 24.10.2005, p. 279-288.

Research output: Contribution to journalConference article

TY - JOUR

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AU - Park, Soo Hyun

AU - Kim, Jinhwa

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AB - In B2B EC area, the need for agent based system for desktop purchasing is increasing. To simulate agent based B2B e-Commerce, we model the b-cart based B2B agent framework. B-cart implies a buyer's shopping cart which a buyer carries to the seller's sites. The modeled system is designed to provide an effective architecture for employee's direct desktop purchasing from external sellers' e-marketplaces. In this paper, we propose the thirteen features of b-cart based agent system in B2B EC; Identification, User Dialog, Collection, Trashing, Individual Purchase Decision Support, Organizational Purchase Decision Support, Negotiation, Ordering, Payment, Tracking, Recording, Record Transmission, Knowledge Maintenance. Based on these features, we design the buying process, the system architecture, and message interfaces. We simulate the effect of the system by making a performance evaluation model. From this research we show a possibility and efficiency of the b-cart based agent system.

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