• Title/Summary/Keyword: reverse auction

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The Impact of Item Characteristics on the Selective e-Procurement Strategies (구매품목의 특성이 전자조달방식의 선택에 미치는 영향)

  • Chun, Hong-Mal;Pyun, Ji-Surk
    • 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.

Marketing Strategy for the Digital Age (디지털시대의 마케팅 전략)

  • 고완기
    • Journal of the Korea Society of Computer and Information
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    • v.6 no.1
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    • pp.90-94
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    • 2001
  • A new word, “Prosumer”, refers to a person who develops and produces goods which they would like to purchase online in real time. Consumers do not simply rely on choosing the good provided by manufactures any more. They are involved in the process of manufacturing good and the creation of organized purchase groups. They aim to purchase the best quality good at the lowest price through reverse auction under the warranty system. If the consumer's way of thinking is controlled by company owners and corporate CEO's profit-centered policy making, the companies will fail to keep pace with the current stream of the digital marketing age, and be destined for failure. I will discuss the changing marketing environment, new marketing strategy, and marketing realization on the internet in this thesis.

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Multi-lateral Concurrent Automated Negotiation for Optimal Freight Settlement (최적 수송가격 결정을 위한 다자간 동시 자동협상 방법론 개발)

  • Park, Yong-Sung;Cho, Min-Je;Choi, Hyung-Rim;Kim, Hyun-Soo;Hong, Soon-Goo
    • 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.

Comparative Analysis of Game-Theoretic Demand Allocation for Enhancing Profitability of Whole Supply Chain (전체 공급망 수익성 개선을 위한 게임이론 기반의 수요 할당 메커니즘의 비교 연구)

  • Shin, Kwang Sup
    • 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.