• Journal of Distribution Research
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• v.15 no.5
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• pp.103-126
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• 2010

The development of an industry including distribution sector is influenced by not only government policy but the related firms' behaviors. Recently the large-scale retailers have had more enormous channel power than any other distributors including monopolistic makers. Now is the time for government to prepare some policies against the unfair transaction behaviors by large-scale retailers. In this paper I tried to inquire into the distribution competition policy from a political correspondent point of view related with the transition of distribution system. For the purpose of this article I compared the case of Korea with Japan. According to the results so far inquired, there are some commons and differences in the cases of the two. Some suggestions are as follows. Considering the predominant position the concept of large-scale retailers is to be extended from a single store to numerous chain stores in the political level. Government needs to examine the standard propriety for large-scale retailer; the size of selling area and amount of sales a year. When a large-scale retailer store is to be established, it need to be taken a permit or a pre-inspection. The Fair Trade Commission have to secure the neutrality from Government's strategies. And government should find out the examples of unfair transaction behavior types and prepare some proper guidelines continually. For the last time statistical data by distributors are to be fitted out and the actual investigations for estimating the effects of government policies need to be enforced.

• Proceedings of the Technology Innovation Conference
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• 1996.12a
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• pp.196-238
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• 1996

Because global innovation-based competition is increasing and the amount of R&D expenditures becomes severely large, it is more likely that mergers and collaborative ventures tend to affect adversely to R&D competition Against this trend, enforcing agency of advanced countries including U.S.A are reassessing certain aspects of competition policy toward mergers and acquisition to ensure that procompetitive, efficiency-enhancing transactions are permitted. The role of competition policy is developing and appropriating new technology and protects the risks involved in the licensing contract of technologies. The role of intellectual property rights is also contrived to promote technological innovation and to increase consumer welfare. That is to say, dynamic efficiency of intellectual property rights includes (l) increase in social welfare and (2) promotion of growth by improvement of quality through invention and commercialization of new product as well as enhanced productive efficiency thorough appropriating new process. Because intellectual property rights are licensed to make use of complementary inputs, the rule of reason approach seems proper when applying antitrust law. To analyze the "Antitrust Guidelines for the Licensing and Acquisition of Intellectual Property"by DOJ and FTC in U.S.A, the author surveyed pros and cons on innovation market approach. This approach will only be used in a narrow range of situations when the evidence is solid, concentration numbers are extremely high, and the agencies can predict with a high degree of certainty that the merger will likely lead either to a slowing in the pace of innovation or the loss of an alternative research track that is likely to lead to a product beneficial to consumers. The author introduces the studies on licensing contract of intellectual property rights and competition polices on behalf of potential inquirers. Also the author invites the interdisciplinary researchers to analyze further with a model on the aspects of the "Notice 1995-10 for Types and Criteria on Unfair Transaction Behavior in International Contracts" by Fair Trade Committee of Korea.

• Information Systems Review
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• v.23 no.4
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• pp.45-67
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• 2021

As the transaction volume of the C2C second-hand market is growing, the number of frauds, which intend to earn unfair gains by sending products different from specified ones or not sending them to buyers, is also increasing. This study explores the model that can identify frauds in the online C2C second-hand market by examining the postings for transactions. For this goal, this study collected 145,536 field data from actual C2C second-hand market. Then, the model is built with the characteristics from postings such as the topic and the linguistic characteristics of the product description, and the characteristics of products, postings, sellers, and transactions. The constructed model is then trained by the machine learning algorithm XGBoost. The final analysis results show that fraudulent postings have less information, which is also less specific, fewer nouns and images, a higher ratio of the number and white space, and a shorter length than genuine postings do. Also, while the genuine postings are focused on the product information for nouns, delivery information for verbs, and actions for adjectives, the fraudulent postings did not show those characteristics. This study shows that the various features can be extracted from postings written in C2C second-hand transactions and be used to construct an effective model for frauds. The proposed model can be also considered and applied for the other C2C platforms. Overall, the model proposed in this study can be expected to have positive effects on suppressing and preventing fraudulent behavior in online C2C markets.