• 제목/요약/키워드: Collaborative Commerce

검색결과 159건 처리시간 0.024초

The roles of electronic marketplace for buyer-supplier relationship: collaborative system architecture

  • Han, Seong-Yoon
    • 한국정보시스템학회:학술대회논문집
    • /
    • 한국정보시스템학회 2005년도 추계학술대회 발표 논문집
    • /
    • pp.381-387
    • /
    • 2005
  • As the most widely used media of BtoB e-business, the e-Marketplace (EM) can play an important role in the age of c-commerce (collaborative commerce). In supply chain management (SCM) area, the relationship-based collaboration among partners has shown great efficiency. Although the collaboration is important in both areas of EM and SCM there has been a critical difference in the selection of trade partners between them. In this paper, the EM's collaborative stages for integration with its customer system are reviewed and a system architecture is proposed for EM's electronic functional role within the perspective of collaborative commerce and buyer-supplier relationship. The relationship-based BtoB commerce through EM is reviewed to explain that it can be more beneficial than the commerce based on the price competitive selection of trade partners. With the proposed system architecture, an EM can be the functional medium for the collaborative IOIS system architecture.

  • PDF

중소기업 마케팅.유통 지원을 위한 협력상거래 포탈 설계 및 구현 (Design and Implementation of c-Commerce Portal of Small and Medium Enterprises for Marketing)

  • 안요찬;서중석
    • Journal of Information Technology Applications and Management
    • /
    • 제11권1호
    • /
    • pp.175-187
    • /
    • 2004
  • Many companies have integrated their internal processes with the aid of information technology. Now the focus is on interconnecting trading partners. Collaborative commerce (also known as c-Commerce) has a key role. It is not just about making it easier for business to communicate. It is about by breaking down barriers along the entire length of the supply chain. Some c-Commerce links are permanent, others get established when and where they are needed. c-Commerce is helping business in electronic supply chains to improve product delivery while cutting costs, to strengthen relationships and to reduce lead time. In this paper, we propose the concept of collaborative commerce, and design and implement Collaborative Commerce Portal (CCP) system of small and medium enterprise for marketing support. The technical definition of CCP is set of all technical elements can do collaborative commerce between small and medium enterprises with Internet or Internet. The target information of CCP includes usual and unusual information and all other information of companies used as process events. Through this, it enhances efficiency of business processes, core information sharing and marketing activation.

  • PDF

B2B 전자거래를 위한 협업적 제품거래 프레임워크 (CPC Framework for B2B Electronic Commerce)

  • 김형선;박진섭
    • 산업경영시스템학회지
    • /
    • 제26권2호
    • /
    • pp.29-34
    • /
    • 2003
  • With the recent trends of electronic commerce moving from B2C to B2B, Collaborative Product Commerce (CPC) is widely adopted as a part of B2B in the virtual collaborative environment. This paper proposes an integrated CPC framework supporting collaborative works between businesses by sharing product data and collaborative process between global enterprises and their customers, who are related to product life cycle, and integrating application systems in order to realize a true B2B electronic commerce. To integrate into a loosely coupled structure, various web service technologies such as XML, SOAP, WSDL and UDDI are utilized as its fundamentals and on that basis, a CPC integration framework is implemented through the Internet to support real-time operation providing interoperability among all the different applications operated on various platforms which have been developed using different languages and adopted by different companies.

c-Commerce 하의 기업간 협력관계를 고려한 전자시장과 기업 시스템간 기능통합적 체계 (A Functionally Integrative Architecture between e-Marketplace and Corporate Systems Considering Buyer-Supplier Relationship under c-Commerce)

  • 윤한성
    • Asia pacific journal of information systems
    • /
    • 제15권4호
    • /
    • pp.135-152
    • /
    • 2005
  • As the most widely used media of BtoB e-business, the e-Marketplace can be a way of BtoB e-buisness continuously in the age of c-Commerce with the functional collaborative integration between the e-Marketplace and corporate systems. Moreover, collaborative operations like QR, VMI and so on have shown a great efficiency in the area of BtoB supply chain management. However, some critical considerations are discussed in the selection of trade partners between the e-Marketplace and the SCM. In e-Marketplaces, the intermediation to select partnersusually focuses on the competitive process for lower price. However, in the SCM, the relationship with strategic alliance is more importantly addressed for efficiency. Considering the trend to c-Commerce in Internet commerce, the approach to the collaborative relationship in BtoB commerce has important meanings. In this paper, we proposed and appraised an architecture where the e-Marketplace can be an elelctronic functional method for the relationship based BtoB e-business from the viewpoint of SCM and c-Commerce.

Combining Collaborative, Diversity and Content Based Filtering for Recommendation System

  • Shrestha, Jenu;Uddin, Mohammed Nazim;Jo, Geun-Sik
    • 한국지능정보시스템학회:학술대회논문집
    • /
    • 한국지능정보시스템학회 2007년도 추계학술대회
    • /
    • pp.602-609
    • /
    • 2007
  • Combining collaborative filtering with some other technique is most common in hybrid recommender systems. As many recommended items from collaborative filtering seem to be similar with respect to content, the collaborative-content hybrid system suffers in terms of quality recommendation and recommending new items as well. To alleviate such problem, we have developed a novel method that uses a diversity metric to select the dissimilar items among the recommended items from collaborative filtering, which together with the input when fed into content space let us improve and include new items in the recommendation. We present experimental results on movielens dataset that shows how our approach performs better than simple content-based system and naive hybrid system

  • PDF

CPC (Collaborative Product Commerce) 개념의 설계 정보 시스템 개발

  • 반창우;장동영
    • 한국정밀공학회:학술대회논문집
    • /
    • 한국정밀공학회 2004년도 춘계학술대회 논문요약집
    • /
    • pp.227-227
    • /
    • 2004
  • 오늘날과 같은 무한 경쟁 시대 속에서 기업은 신제품을 좋은 품질을 유지하면서 얼마나 빠르게 시장에 출시하느냐가 기업의 경쟁력을 좌우하게 되었다. 이를 위해서는 설계 단계부터 제품 생산 단계까지의 주기를 단축시켜야만 한다. 이 때 설계 단계의 비용이 가장 크며 많은 시간이 소비된다 물론, 품질에 가장 커다란 영향을 미치는 부분도 바로 설계 단계인 것은 두말할 필요가 없을 것이다. 이에 본 논문에서는 제품 개발에서 중요한 설계 단계를 CPC(Collaborative Product Commerce) 개념을 도입하여 웹에 기반을 둔 설계 지원 시스템을 구축하였다.(중략)

  • PDF

MoCAAS: Auction Agent System Using a Collaborative Mobile Agent in Electronic Commerce

  • Lee, Kwang-Yong;Yoon, Jung-Sup;Jo, Geun-Sik
    • 한국지능정보시스템학회:학술대회논문집
    • /
    • 한국지능정보시스템학회 2001년도 The Pacific Aisan Confrence On Intelligent Systems 2001
    • /
    • pp.83-88
    • /
    • 2001
  • To get the items that a buyer wants in Internet auction. he must search for the items through several auction sites. When the bidding starts, he(the buyer) needs to connect to these auction sites frequently so that he can monitor the bid stats and re-bid. A reserve-price auction reduces the number of connections, but this limits the user's bidding strategy. Another problem is equity between the buyer and the seller. Both the buyer and the seller should profit together within proper limits. In this paper, we propose an auction agent system using a collaborative mobile agent and a brokering mechanism called MoCAAS (Mobile Collaborative Auction Agent System), which mediates between the buyer and the seller and executes bidding asynchronously and autonomously. This reduces connection costs. offers more intelligent bidding and solves the equity problem.

  • PDF

Privacy-Preserving Two-Party Collaborative Filtering on Overlapped Ratings

  • Memis, Burak;Yakut, Ibrahim
    • KSII Transactions on Internet and Information Systems (TIIS)
    • /
    • 제8권8호
    • /
    • pp.2948-2966
    • /
    • 2014
  • To promote recommendation services through prediction quality, some privacy-preserving collaborative filtering solutions are proposed to make e-commerce parties collaborate on partitioned data. It is almost probable that two parties hold ratings for the same users and items simultaneously; however, existing two-party privacy-preserving collaborative filtering solutions do not cover such overlaps. Since rating values and rated items are confidential, overlapping ratings make privacy-preservation more challenging. This study examines how to estimate predictions privately based on partitioned data with overlapped entries between two e-commerce companies. We consider both user-based and item-based collaborative filtering approaches and propose novel privacy-preserving collaborative filtering schemes in this sense. We also evaluate our schemes using real movie dataset, and the empirical outcomes show that the parties can promote collaborative services using our schemes.

CPC에서의 Workflow 응용 (Applying Workflow Management System to CPC)

  • 전희철
    • 한국CDE학회지
    • /
    • 제8권1호
    • /
    • pp.58-65
    • /
    • 2002
  • Collaborative product commerce(CPC) involves many people working together with heterogeneous and distributed software applications. For such an environment, Workflow Management System(WFMS) can be useful for coordination of people, software agents and processes. It provides diverse services including automatic work muting, project management continuous process improvement and application integration. However, there are some limitations to apply WFMS to CPC environment due to inflexibility and lack of design support facilities. This paper identifies the problems and addresses possible approaches to overcome the difficulties.

  • PDF

Dynamic Fuzzy Cluster based Collaborative Filtering

  • Min, Sung-Hwan;Han, Ingoo
    • 한국지능정보시스템학회:학술대회논문집
    • /
    • 한국지능정보시스템학회 2004년도 추계학술대회
    • /
    • pp.203-210
    • /
    • 2004
  • Due to the explosion of e-commerce, recommender systems are rapidly becoming a core tool to accelerate cross-selling and strengthen customer loyalty. There are two prevalent approaches for building recommender systems - content-based recommending and collaborative filtering. Collaborative filtering recommender systems have been very successful in both information filtering domains and e-commerce domains, and many researchers have presented variations of collaborative filtering to increase its performance. However, the current research on recommendation has paid little attention to the use of time related data in the recommendation process. Up to now there has not been any study on collaborative filtering to reflect changes in user interest. This paper proposes dynamic fuzzy clustering algorithm and apply it to collaborative filtering algorithm for dynamic recommendations. The proposed methodology detects changes in customer behavior using the customer data at different periods of time and improves the performance of recommendations using information on changes. The results of the evaluation experiment show the proposed model's improvement in making recommendations.

  • PDF