• 무역상무연구
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• 제77권
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• pp.23-42
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• 2018

This study compares the SGA and CISG to find out the difference of the criteria for calculating damages. and it intends to give some important points in trade practice. The damages is intended to compensate the victim for the breach of contract but there are differences between SGA and CISG as follow. First, the SGA and CISG have the same purpose of claiming damages. Both laws and regulations are subject to a full indemnification to compensate for the breach of the contract by the amount equivalent to the loss suffered by the victim. Second, in the general principle related to the calculation of damages, both law enforcement officials are required to be able to predict damages caused by breach of contract. In the case of SGA, however, a foreseeability test or remoteness of damages is required for the relationship between the contract violation and the loss. In other words, it can be said that the causal relation between the contract violation and the damage is strictly applied rather than the CISG. Finally, both laws and regulations of SGA and CISG have a big difference in criteria for calculating damages. In the CISG, after the contract is canceled, it is classified according to the existence of the alternative transaction and the damage amount is calculated based on the contract price. On the other hand, the SGA estimates the loss based on the market price at the delivery of the goods, reflecting the change in the market price instead of the contract price of the goods.

• 동아시아경상학회지
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• 제7권1호
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• pp.1-16
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• 2019

Purpose - For the development of fresh food shopping malls, consumers should continue to experience loyalty and favorability for the company's products or brands, and this should lead directly to purchase so that active word-ofmouth and recommendation should be encouraged. Therefore, the purpose of this study is to investigate the effect of e-service quality and e-ERM on e-loyalty with customer satisfaction and commitment as mediators. Research design, data, and methodology - This study was conducted by sample survey method on 320 online customers who have experience in using major online fresh food shopping malls for more than one year. Data analysis methods were frequency analysis, confirmatory factor analysis, reliability analysis, correlation analysis, and structural equation model analysis. Result - Hypothesis 1 through Hypothesis 7 were all supported. The results of this study suggest that e-service quality and e-CRM of online fresh food shopping malls have a significant effect on satisfaction and commitment. Therefore, the conclusion has been derived that the focus of this study, that such satisfaction and commitment have a significant effect on e-customer loyalty. has been supported theoretically and empirically. Conclusion - This study suggests that studies on customer loyalty based on activation commerce factors related to fresh food in online shopping malls will be an index that can reflect on customer's needs corresponding with future trends of not only online shopping malls but also offline shopping malls.

• Journal of Information Technology Applications and Management
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• 제23권1호
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• pp.1-23
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• 2016

Social commerce (s-commerce) is a subset of e-commerce and uses social media for social interactions. Although s-commerce has been rapidly growing, disputes between some s-commerce firms and their consumers often occur over issues such as poor customer services, incorrect product information, and late refunds. In order for s-commerce to continuously grow, s-commerce firms need to build consumer-trust in their transaction process to minimize their consumers' uncertainty. The purpose of this study is to examine the relationships between the multidimensional trust (ability, integrity, benevolence) and the intention of continuous use of s-commerce. Moreover, this study presents antecedent factors needed for trust-building by applying the characteristics of s-commerce, and verifies the relations between the variables. We test and validate the research model and related hypotheses using structural equation modeling based on a survey done on 428 people who have previous experience with s-commerce. The result shows that trust has positive effect on the intention of continuous use, and verifies the necessity of the antecedent factors (social presence, assurance, informativeness, economic feasibility, and seller reputation) for trust-building. This study provides strategy for the continuous growth of s-commerce, and suggests theoretical implication that explains the relationship between the characteristics of s-commerce and consumers.

• Asia pacific journal of information systems
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• 제9권2호
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• pp.77-97
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• 1999

industry each which are using a kind of EDI, supplier-oriented Electronic Data Interchange(SOEDI) to procure materials, equipment and supplies more effectively. The major objective of this study are to determine the basic nature of the impact of SOEDI on the structure and procedure in purchasing. The other is to identify the variables or determinants which influence the benefits which can be experienced in purchasing organizations. This study was conducted through interviewing of organizations which are currently active in the use of EDI. Samples of 107 purchasing organizations were collected. Some key findings of this study are ; 1) There were remarkable differences on influencing level and relationship of determinants which influence the benefits of purchasing organizations. There was the most remarkable one in trading industry. 2) The more suppliers, the more benefits. The transaction rate with suppliers who are affiliated with EDI is low as a whole but suppliers who are affiliated with EDI can be a critical factor on selection of buyers. 3) Procedure related to purchasing order was mainly changed. There is a development on signature but still exists. 4) The number of employees were reduced a little bit.

• 경영정보학연구
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• 제3권2호
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• pp.349-368
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• 2001

The purpose of this research is to investigate economic factors that determine characteristics of B2B e-Marketplaces. From a previous research work, we classify B2B e-Marketplaces into four forms: MRO Hubs, Catalogue Hubs, Yield Managers, and Exchanges. This classification is based upon "What businesses buy" and "How businesses buy." In an attempt to identify economic factors that determine e-Marketplace forms, we employ three economic factors: buyer/seller relationships, features of products traded, and characteristics of industries or markets. Through extensive literature reviews, we have selected six variables which can be used to explain reasons for different e-Marketplace forms: asset specificity and information asymmetry for the buyer/seller relationship, standardization and price variability for the product features, entry barrier and market volatility for the market characteristics. This research conducts six in-depth case studies to explain that "Why different forms of e-Marketplace emerge?" The research framework intends to provide link between e-Marketplace forms and six economic variables. Six case studies are based on interviews with CEO or team managers of e-Marketplace firms. This study has found six economic variables, explaining well reasons for different e-Marketplace forms. Research findings are summarized as propositions so that survey-type research can be conducted with a large number of samples in the future.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제2권3호
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• pp.204-209
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• 2002

The interest of data mining in artificial intelligence with fuzzy logic has been increased. Data mining is a process of extracting desirable knowledge and interesting pattern ken large data set. Because of expansion of WWW, web data is more and more huge. Besides mining web contents and web structures, another important task for web mining is web usage mining which mines web log data to discover user access pattern. The goal of web usage mining in this paper is to find interesting user pattern in the web with user feedback. It is very important to find user's characteristic fer e-business environment. In Customer Relationship Management, recommending product and sending e-mail to user by extracted users characteristics are needed. Using our method, we extract user profile from the result of web usage mining. In this research, we concentrate on finding association rules and verify validity of them. The proposed procedure can integrate fuzzy set concept and association rule. Fuzzy association rule uses given server log file and performs several preprocessing tasks. Extracted transaction files are used to find rules by fuzzy web usage mining. To verify the validity of user's feedback, the web log data from our laboratory web server.

• Journal of Information Technology Applications and Management
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• 제14권2호
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• pp.71-96
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• 2007

The objectives of this study are to investigate factors influencing trust on internet shopping mall and to examine whether these factors on trust have differences between Korean and Chinese users. Based on the literature reviews, this study employs six factors in two groups of influencing factors, web-site characteristics and individual characteristics as key determinants of trust in internet shopping mall. Analysis of 470 responses(Korean: 320 users, Chinese: 150 users) of survey questionnaire indicates the following: In terms of the relationship between web-site characteristics factors and the trust, the results showed significant differences between Korean and Chinese samples. For the Korean samples, transaction security and interactivity were the only significant influencing factors. For the Chinese samples, perceived reputation and perceived size were the only significant factors. In terms of individual characteristics factors, the influencing factors were found identical for the samples. Both propensity to trust and familarity were significant factors in both Korean and Chinese samples. Based on the findings, managerial implications are discussed in building user trust in internet shopping mall in Korean and Chinese market.

• 한국의류산업학회지
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• 제8권3호
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• pp.286-294
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• 2006

The purpose of this study was to identify the effect of marketing activities to apparel brand community on interaction of the community. Subjects of 317 members for 9 selected apparel communities responded the questionnaire in the home-page or in the attached file. Data were analyzed by exploratory factor analysis, one-way ANOVA, scheffe-test. The results were as follows: Significant differences among three community groups classified based on the levels of interactions(interaction of company to members and interaction among members) were found in several types of marketing activities(award to activities, added services, conveyance of community's purpose and acceptance of negative responses) to apparel brand community. These types of marketing activities were operated in communities with high level interactions higher than in communities with low level interactions. Therefore, marketers need to operate these types of community marketing activities to increase interactions which can contribute members' satisfaction of interest, transaction and relationship needs through apparel brand online community.

• 농업과학연구
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• 제32권1호
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• pp.95-106
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• 2005

This study was focused on analyzing the impacts of e-commerce on the farmer's management behavior and suggesting alternatives for the development of e-commerce in agricultural industry. For this study, survey was conducted for 24 farmers who sell agricultural products through e-commerce in Chungnam province. The results of study are as follows; First, farmers have changed their management practices in terms of production, marketing and processing by using the information of consumers' preferences while doing e-commerce business. Second, farmers have attempted to differentiate their product through product brand and customer relationship marketing, because they recognized the importance of developing marketing techniques adapted to e-commerce system for more revenues. Third, if quality certification system of agricultural products is introduced under e-commerce, farmers would use it for their environmentally sounded farming because they expect to increase their income. Fourth, 75% of the farmers sold their product at retail price. It means that e-commerce farmers act as a price maker rather than price taker at e-commerce market, who will be encouraged to have larger business size resulting in more added value. Based on the results of study, we suggest that there should be reduction of service charge for credit card, and encouragement of B2B transaction for the economy of scale and introduction of quality certification system so as to establish e-commerce system of agricultural industry as soon as possible.

• 한국IT서비스학회지
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• 제9권4호
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• pp.1-18
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• 2010

Plural governance system in which firms use vertical integration and market governance simultaneously are widely used across various marketing context. Typical examples of plural governance include franchise systems, in which firms own and operate some unit themselves while licensing the operation of some of their units to franchisees. Despite many scholars have attempted to explore the structure of plural governance over decades, there are few insights into its determinants. In this study, we examine the relationship between the proportion of outlets franchised and several franchisor's characteristics based on the perspectives of transaction cost analysis, resource scarcy theory and agency theory. Using franchisor data in Korean Franchise Disclosure Document over the 2006-2009 period, we test the effect of franchisor size, system growth rate, franchise fee, initial investment, and risk sharing on the proportion of outlets franchised. Except for the effect of system growth rate, the results of a series of multiple regression analysis supported the negative effects of franchisor size, franchise fee, initial investment and risk sharing on the proportion of outlets franchised.