• Journal of Korea Multimedia Society
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• v.5 no.6
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• pp.712-729
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• 2002

In this study, we evaluated degree of importance of e-marketplace solution selection factors. Factor analysis was conducted to find out relationships among various variables which come from literature survey. The result shows that 16(sixteen) -selection variables regarding solution characteristics could be grouped into four areas 'flexibility', 'ease of use', 'security', and 'economy'. And 11(eleven) selection variables regarding to vendor characteristics could be grouped into three areas, 'vendor's support', vendor's general situation', and 'vendor's business accomplishment`. Through various analysis, we found important factors for 3 types of operational companies, buyer-biased, seller biased and neutral. 'Security for data item' was showed as the most important factor for all kind of B2B operational companies. For buyer-biased companies, additional supporting manpower, solution education, and educational cost are shown to be more important factors than others. Place of education, education hours and education level are important for 'Neutral' companies. And the factor 'market share of vendor' are important for 'seller biased' companies.

• The Journal of the Korea Contents Association
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• v.6 no.11
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• pp.1-7
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• 2006

In this paper, a SOAP based ebXML cryptography system is proposed for the optimum XML document encryption using RSA algorithm in e-Marketplace. And ciphering algorithms of DES, 3DES, RSA, and proposed RSA were used for the performance analysis of ebXML cryptography system. The network performance of ciphering and deciphering times is evaluated for its enhancement of SOAP based ebXML ciphering e-Marketplace systems using the same block and document sizes by computer simulations.

• Journal of Distribution Science
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• v.20 no.9
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• pp.61-71
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• 2022

Purpose: This study analyzes the effects of variables affecting e-satisfaction and e-loyalty in e-commerce. Research design, data, and methodology: A survey was conducted to 384 Indonesia online shopping mobile application users. The questionnaire construct was designed based on several independent variables, such as application attractiveness, application functionality, and customer service on e-satisfaction and e-loyalty. E-satisfaction was positioned as an intervening variable to determine the effect on e-loyalty. Results: Application attractiveness, application functionality, and customer service shown positive effect on e-satisfaction in online shopping mobile application. At the same time, e-satisfaction also affected e-loyalty significantly as referred in previous studies. However, application attractiveness, while showed positive effect on e-satisfaction, in contrary with previous study does not showed very significant effect. Conclusion: Application functionality significantly influences users satisfaction compared to application attractiveness. E-satisfaction mediates as a factor between visual design, information access, and transaction in online shopping mobile application, which stimulates user loyalty. The study findings' can be a reference for companies to create and maintain users' satisfaction and loyalty via different aspects of mobile application. Further research should be conducted on other field of study as the industry has different aspects that affects user loyalty.

• Journal of KIISE
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• v.42 no.10
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• pp.1286-1293
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• 2015

Most e-marketplaces build a reputation system that provides potential buyers with reputation scores of sellers in order for buyers to identify the sellers that are more reliable and trustworthy. The reputation scores are computed based on the aggregation of buyers' ratings. However, when these ratings are used to compute the reputation scores, the existing reputation systems do not make a distinction according to the following two criteria: the capability of the seller and the quality of an item. We claim that a reputation system needs to separate the two criteria in order to provide more precise information about the seller. In this paper, we propose a method to compute seller's reputation by separating the rating into the seller's score and the item's score. The proposed method computes the reputation of the seller's capability by using only the 'seller's score' and helps potential buyers to find reliable sellers who provide fast delivery and better service. In experiments, we propose a simulation strategy that reflects the real life of an E-marketplace and verify the effectiveness of our method by using the generated simulation data.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2001.10a
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• pp.65-68
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• 2001

In e-Marketplace, many companies are participating frequently either as supplier or as customer. Thus, electronic processing of transactions and flexible integration with participating companies' processes are required. These situation requires process integration using workflow and the exchange of transaction document using XML(eXtensible Markup Language). This paper presents methodologies to model business processes in e-Marketplace where many companies are participating and to exchange electronic messages using ebXML that have become a standard in electronic commerce. These methodologies can integrate and manage processes in electronic commerce environment, and can process ebXML standard documents efficiently, making electronic commerce more harmoniously in global market. The system constructed in this research supports business processes between companies by exchanging XML messages conforming Wf-XML and ebXML standards using SOAP protocol.

• Journal of the Korea Society of Computer and Information
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• v.15 no.2
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• pp.135-146
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• 2010

In this paper, we propose an Recommendation System for supporting self-directed learning on e-learning marketplace. The key idea of this system is recommendation system using revised collaborative filtering to support marketplace. Exisiting collaborative filtering method consists of 3 stages as preparing low data, building familiar customer group by selecting nearest neighbor, creating recommendation list. This study designs recommendation system to support self-directed learning by using collaborative filtering added nearest neighbor learning course that considered industry and learning level. This service helps to select right learning course to learner in industry. Recommendation System can be built by many method and to recommend the service content including explicit properties using revised collaborative filtering method can solve limitations in existing content recommendation.

• Proceedings of the CALSEC Conference
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• 2001.02a
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• pp.183-196
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• 2001

Internet 기반을 이용한 모든 거래 형태를 종합하여 e-Commerce라고 하고 있다. e-Commerce는 거래의 형태에 따라 다양한 종류로 분류되고 있다. e-Marketplacee는 B2B 거래의 한 종류로서 인터넷상에서 불특정 다수의 공급자와 수요자간의 비즈니스 거래를 유발시켜 주는 가상의 시장(매개 공간)으로 정의된다.(중략)

• Information Systems Review
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• v.3 no.2
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• pp.337-347
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• 2001

• Proceedings of the CALSEC Conference
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• 2002.01a
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• pp.295-298
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• 2002

1. ebXML과 전자상거래 e-Catalog System 카달로그 -거래의 근거자료 -기업/상품의 홍보 자료 -거래의 매개 자료 카달로그 시스템은 Marketplace, Procurement System 등에서 거래 매개 자료를 체계적으로 관리해주는 전자 상거래의 핵심 컴포넌트이다.(중략)

• Proceedings of the CALSEC Conference
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• 2002.01a
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• pp.318-327
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• 2002

◈ 전자카탈로그 공통 속성의 필요성 ㆍ전자카탈로그 속성 정보 : 업종, 분류방식. 사용목적에 따라 상이한 표현 존재 ㆍ표준이 다를 경우 업체간 e-Marketplace간의 전자거래 활성화 어려움(중략)