• Journal of Information Technology Services
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• v.15 no.3
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• pp.247-263
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• 2016

The purpose of the study is to derive success factors of B2C reverse auction business model, a business model contributes to the recent innovative practices in e-commerce and service sector. Electronic reverse auction has been traditionally used to ensure the procurement convenience and purchasing efficiency in B2B or B2G settings, however, e-RA is now expanding its basis toward B2C commerce industry along the huge success of an online e-RA travel service provider Priceline.com. Recently, B2C e-RA business model is getting the spotlight in the Korean venture industry with a variety of startups in diverse areas. However, e-RA does not work perfect in all kinds of trade settings. Therefore, we conducted a multiple case study to find out the success factors of B2C business model as follows : First, large supplier basis is an important factor that constructs a quasi-perfect competition environment. Second, the high online and mobile accessibility or e-readiness of Korean consumers was also a critical aspect of the success of e-RA. Lastly, e-RA performs best when the supplier switching cost is low and the trading occurs infrequently.

• Proceedings of the Korea Society of Information Technology Applications Conference
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• 2003.06a
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• pp.1-1
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• 2003

• The Journal of Information Systems
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• v.21 no.3
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• pp.99-116
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• 2012

As a way to allocate lots of orders to many participants for vehicle allocation problem, this study has used an agent negotiation based reverse auction model. This agent negotiation provides coordination functions allowing all participants to make a profit, and accomplishing Pareto optimum solution from the viewpoint of a whole trucking cargo transportation network. In order to build a strategic cooperation relationship based on information sharing, this agent negotiation provides a coordination mechanism in which all the participants including consignors, brokerage firms, and car owners are able to attain their own profits, and also that ensure a competitive market. This study has tried to prove that the result of an agent-based negotiation is the Pareto optimal solution under the present market environment. We established a mathematical formulation for a comparison with the Integer Programming model, and analysing e-Marketplace, structure of shipping expenses and brokerage system in the trucking cargo transportation industry.

• International conference on construction engineering and project management
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• 2009.05a
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• pp.827-834
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• 2009

In respond to the demand of an open, fair, transparent, and efficient environment for procurement, many governments have incorporated the use of internet in their procurement systems with online procurement (e-procurement). Given the different policies and laws which have to be complied with, the practice of government e-procurement system varies from one country to another. Thus, experiences in running e-procurement will vary as well. The achievements and obstacles of one country's experience will be a constructive reference for other countries in establishing e-procurement system. In this regard, government e-procurement system practices in two Southeast Asia countries i.e., Thailand and Indonesia particularly in public works are consecutively presented and finally compared in this paper. The government of Thailand has applied Online Auctions (e-Auctions) as the national procurement practice since 2005 and performed the e-Auctions in two types: Reverse Auction and Sealed Bid Auction. Contrary to the common practice of e-procurement, the Thai government, with some rationales, runs the bid documents obtaining manually as well as qualification and technical documents submission and holding the e-Auctions at bidding office. Whereas Indonesian government runs Online Sealed Bid Bidding (e-Procurement) and most of the bidding stages are performed electronically except bid evaluation for both technical and financial. The advantages and drawbacks of these two e-procurement practices are discussed as well as improvements that have to be made for successful of e-procurement.

• Proceedings of the Korean Society of Computer Information Conference
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• 2014.07a
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• pp.147-150
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• 2014

본 연구는 글로벌 인터넷 시장의 구매자와 판매자의 장단기 전략에서 가격을 기준으로 가장 합리적인 결정 방법을 알아보고 이를 통해 보다 가격 기준의 만족도 높은 거래를 성사시켜 구매자 및 판매자 모두에게 이득이 될 수 있는 프로세스를 제안한다. 제안된 프로세스는 구매자는 낮은 가격으로, 판매자는 높은 가격으로 물품의 거래가 성사된다면 가장 만족도가 높다는 가설을 세우고 이를 검증할 수 있도록 기존 시장을 구성하는 다양한 판매 방법들을 분석하여 본 연구에서 제시 하는 프로세스와의 장단점을 비교하고 본 연구를 통해 합리적 가격이 결정되는 방법 및 프로세스를 제한한다.

• Asia pacific journal of information systems
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• v.14 no.2
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• pp.87-114
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• 2004

This paper empirically examined the relationships between the characteristics of purchasing items and the effective e-procurement strategies. We found that the importance of items has influence on the effective e-procurement, while the complexity of purchasing process has little influence. This fact exhibits the automation of transactional process has little influence on carrying out e-procurement. We also found, companies prefer the horizontal e-marketplace to the vertical e-marketplace. In addition, companies want to purchase through the e-bidding or reverse auction for lower prices.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.29 no.1
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• pp.76-86
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• 2006

다양한 데이터 마이닝 기법들의 발전과 더불어, 속성(Feature 또는 Attribute)의 범위(Dimension)를 줄이기 위해 많은 요소 선택 방법이 개발되었다. 이는 확장성(Scalability)을 향상시킬 수 있고 학습 모델(Learning Model)을 더욱 쉽게 해석할 수 있도록 한다. 이 논문에서는 네스티드 분할(Nested Partition, 이하 NP)을 이용한 새로운 최적화 기반 속성 선택 방법을 NP 기본 구조와 다양한 실험 문제의 수치적 결과들과 함께 제시하여 어떻게 NP의 최적화 구조가 속성 선택 과정에 기여를 하고 있는지 보여준다. 그리고 이 새로운 지능적인 분할 방법이 어떻게 매우 효율적인 분할을 수행하는지를 제시한다. 이 새로운 속성 선택 방법은 필터(Filter)방법과 래퍼(Wrapper)방법 두 가지로 구현될 수 있다. 사례 연구로서, B2B e-비즈니스 시스템에서 효과적으로 사용될 수 있는 추천 시스템(Recommender System)을 제안하였다. 이 추천 시스템은 분류 기법(Classification Rule)과 제시된 NP 기반 요소 선택 방법을 사용하고 있다. 이 추천 시스템은 사용자의 인터넷 경매 참여를 추천하는데 사용되며, 이 때 제안된 요소 선택 앨고리듬은 추천 규칙들이 쉽게 이해될 수 있도록 모델을 간략화 하는데 사용된다.

• The Journal of Society for e-Business Studies
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• v.19 no.1
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• pp.43-61
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• 2014

This research is an application of game theory to developing the supplier selection and demand allocation mechanism, which are the essential and major research areas of supply chain planning and operation. In this research, the most popular and widely accepted mechanism, the progressive reverse auction is analyzed and compared with the other game theoretic approach, Kalai-Smorodinsky Bargaining Solution in the viewpoint of holistic efficiency of supply chain operation. To logically and exquisitely compare the efficiencies, a heuristic algorithm based on Genetic Algorithm is devised to find the other optimal demand allocation plan. A well known metric, profit-cost ratio, as well as profit functions for both suppliers and buyer has been designed for evaluating the overall profitability of supply chain. The experimental results with synthesis data and supply chain model which were made to mimic practical supply chain are illustrated and analyzed to show how the proposed approach can enhance the profitability of supply chain planning. Based on the result, it can be said that the proposed mechanism using bargainging solution mayguarantee the better profitability for the whole supply chin including both suppliers and buyer, even though quite small portion of buyer's profitability should be sacrified.

• Journal of Information Technology Services
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• v.7 no.2
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• pp.1-12
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• 2008

The development of IT and explosively growing number of Internet users are rapidly spreading and developing e-commerce, while creating diverse on-line transaction methods such as a negotiation, a reverse auction, and a bid. Among these transaction methods, the transactions by means of a negotiation are being made for goods that have no posted price. In particular, the transactions by means of a negotiation are expected to be widely used in the B2B. In order to determine their transportation costs, shippers usually make negotiations with many transporters and logistics companies. And before long, these negotiations are expected to be made on an on-line automated negotiation system. Because of this, this study has tried to develop an automated negotiation methodology that is absolutely necessary for an on-line automated negotiation. This study has estimated and selected the evaluation functions for multi-lateral negotiators' proposals, thus developing an automated negotiation methodology. As a result of this study, a new direction for an automated negotiation has been suggested. Also we expect that this study will be widely used in the automated negotiation of diverse fields.