• The Journal of Society for e-Business Studies
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• v.22 no.3
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• pp.1-28
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• 2017

Today, according to the increased importance of industry-university cooperation in the knowledge-based economy, support and the number of researches involved in industry-university cooperation has also steadily increased. But it is true that profits from the outcome of patents resulting from such cooperation, such as technology transfer and royalty fees, are lower than they are supposed to be, because of excessive patents applications, although some of them have little commercial potential. Therefore, this research aims to suggest a way to analyze and recognize patents, which enable efficient industry-university cooperation and technology transfer. For the analysis, data on 1,061 patents was collected from 4 different universities. With the data, a quality-strategy matrix was arranged targeting the industry-university cooperation foundations', US patents owned by universities, text mining, and social network analysis were carried out, particularly focusing on the patents in the advanced quality technology section of the matrix. Then core key words and IPC codes were obtained and key patents were analyzed by universities. As a result of the analysis, it was found that 4 key patents, 2 key IPC codes were drawn for University H, 4 key patents, 2 key IPC codes for University K, 6 key patents, 1 key IPC code for University Y, 14 key patents, and 2 key IPC codes for University S. This research is expected to have a great significance in contributing to the invigoration of industry-university cooperation based on the analysis result on patents and IPC codes, which enable efficient industry-university cooperation and technology transfer.

• Korea Trade Review
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• v.42 no.1
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• pp.27-45
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• 2017

A new phenomenon in recent trade is the rising interest in the trade of product production and manufacturing methods themselves, unlike in the past, when the interest was focused on the trade of tangible goods. That is, technology is considered as the object of trade instead of a simple element of production as "technology itself is commercialized". The broad meaning of technology encompasses all the property of knowledge with economic value. Its narrow meaning refers to technology used to produce and manufacture goods. Technologies have features such as no forms, heterogeneity, accumulation of value and extinction of right. The trade of technology commands different styles and content from that of tangible goods due to their unique characteristics; and accordingly, has various risk factors. In other words, technology can be traded in various ways according to commercial objectives including licensing, technical partnership, and joint investment in addition to general trading. The specific forms of technology transfer strategies depend on the purposes and situations between corporations. In case of technical trade with any form, the parties should be cautious about the following practical aspects: First, the contract should clearly define the scope and transfer method of technology. It is a very important matter how the provider of technology will provide the user of technology with abstract technology with no substantiality. Second, a monopoly on technology recognized as intellectual property rights is granted to their inventors for some periods of time, but anyone can have access to that technology after the term of existence. Thus, it is important to check the terms of existence of a patent as well as the terms of contract. Third, the user of technology should fulfill his confidentiality obligation to prevent the technology of the provider from being leaked to a third party unjustly. Fourth, the provider of technology should make a contribution to the successful implementation of the technology by the user as well as provide the licensed technology. Finally, a model contract is recommended to minimizing the legal hiatus of complex technology transfer trade when concluding a contract.

• The Inventors News
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• no.61
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• pp.1-16
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• 2007

협회창립 14주년 축하행사 성료/여성발명경진대회 대통령상 격상/발행인 칼럼/기술이전 수요기술조사 실시/자문위원 칼럼/한국여성발명협회 창립 14주년 및 출판기념식 이모저모/상상 속 아이디어의 현실화 '첫 삽'/정지천 교수의 (여성건강과 한방)/(환희)못다쓴 이야기/발명은 글로벌시대를 여는 도전정신입니다/여성발명계의 '젊은피' 신세진 비솝대표/어린이발명만화 'Why' 시리즈 1천만부 돌파/형태변화 가능한 조명등 특허출원 활발/건강가이드/아이디어 착상 및 발명기법/21세기 민족의 먹거리는 여성 힘으로/엉뚱한 발상 하나로 세계적 특허를 거머쥔 사람들/아무도 몰랐던 몰래발명이야기/국제특허출원(PCT) '지속증가'/올해2/4분기특허기술상 시상식 개최/우수대학생 8명 지재권국제프로그램 참가/학교발명 순회교육 30만 돌파/호신용 휴대폰 특허 증가/내년부터 특허기술 이전거래 사업화/여성발명이 손오공을 만난다면/

• Journal of the Korean association of regional geographers
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• v.10 no.4
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• pp.787-799
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• 2004

The industrial community in a metropolis has played an essential role to keep business in a large city. This paper aims to analyze the realities of trade network among enterprises at Buksungro Tools Commercial Cooperative in Daegu. The urban style industrial community is found at Buksungro in Daegu. There are more than one hundred small-sized enterprises. Major trades among enterprises are occurred within and/or by the area. The long-term trade networks within the Buksungro Tools Commercial Cooperative have played the key role to maintain the industrial community. The trade relationship has depended on business networks based on social capital rather than commercial mechanism. The trade networks have been established through credit transactions as well as handling troublesome orders. The trade networks help to transfer technology and to learn the tacit knowledge among firms. The long-term trade networks are more influenced by the social accessibility than spatial accessibility.

• Proceedings of the KAIS Fall Conference
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• 2012.05a
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• pp.304-306
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• 2012

최근 들어 온라인 쇼핑몰과 SNS(Social Network Service)가 결합한 새로운 쇼핑방식인 소셜쇼핑(social shopping)과 소셜커머스(social commerce)가 핫이슈가 되었다. 소셜커머스는 이전에 존재하지 않던 수요를 창출해 낼 수 있다는 점에서 공동구매와는 전혀 다른 새로운 상거래방식이다. 소셜커머스는 50% 이상의 가격할인율과 특정 거래조건(품목, 거래가능 시간, 사용기간, 물량 등)의 제약을 통해 관심의 경제(economy of attention)를 극대화한 수익모델이라 할 수 있다. 본 연구에서는 소셜커머스에서 가격할인과 소비자들의 제품에 대한 지각된 위험은 충동구매에 어떤 영향을 미치는지에 대해서 검토하고자 하였다.

• The Journal of the Convergence on Culture Technology
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• v.5 no.3
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• pp.55-60
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• 2019

It is true that Blockchain has been known as a core technology for cryptocurrency like bitcoin (BTC). It is caused by its rapid value rises. Now, one BTC is trading around 10,000 US dollars while it bought just less than one dollar at its first trading in May, 2010. Blockchain makes on-line transactions possible by the safe cryptocurrency swiftly based on P2P network and distributed public ledger while its on-line traffic is rapidly increasing. However, this technology has bigger potential in the fourth industrial revolution era and its application areas will be varied. The evolving intelligent information society needs to make new added value through utilizing, sharing and processing of useful digital information. Obstacles such as hacking and fraud often exist when transactions of digital properties, right transfers, etc. are done through digital network specialized with anonymity. It is expected that blockchain will be a definite solution in this regard. This paper addresses useful development directions and countermeasures for blokchain in the digital economy by analysis of its current status and issues.

• Smart Media Journal
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• v.9 no.4
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• pp.91-96
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• 2020

A blockchain is a technology in which all nodes participating in a distributed network manage each transaction's contents without a central server managing the transaction, which is a record of the transaction. The block containing the transaction record of a specific period is connected to the blockchain by referring to the hash value for the previous block, and the chain with the new block added is shared with all nodes again. Transactions using existing certificates will pass through FinTech, and in the near future, applications using blockchains are expected to emerge. In this study, we analyze the problems of the existing model, and propose a transaction model that applies the blockchain to come. Among various applications, this study develops a trading model targeting the energy sales market among the topics that will lead the fourth industrial revolution. As a result of analyzing the proposed model, it was possible to be sure of the possibility of a safer energy sales transaction than the existing method.

• Journal of the Korea Computer Industry Society
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• v.3 no.8
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• pp.1105-1116
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• 2002

This paper has presented three types of key recovery methods, which are known as key escrow, key encapsulation, and trusted third party scheme. we have analyzed the existing key recovery products, which have been developed by the advanced nations for electronic commerce and electronic government. we have also analyzed the key recovery policies proposed by the advanced nations, such as The United States of America, Great Britain, and Japan. In this paper, several key recovery policies are proposed for the e-commerce and e-government system. And we have proposed key recovery scheme for the e-commerce system utilizing the on-line secret sharing scheme based on the Internet and public bulletin board.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.5
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• pp.179-185
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• 2016

This study verifies whether speculative trading in commodity markets acted as the primary cause of the increase in commodity prices after the global financial crisis using the Structural Vector Autoregressive (SVAR) model. The effects of speculative trading on commodity prices increased by a factor of 3 to 6 after the crisis compared to those before the crisis. Although the demand related variables, such as industrial production, affected commodity prices significantly before the crisis, their effects decreased after the crisis. Consequently, the rebound of commodity prices after the crisis was mainly caused by the increase in speculative money, fortified by the expansion of the global liquidity supply. The global liquidity may well increase in the future, because the U.S. Federal Reserve Board is likely to continue to increase its interest rate. This study claims that when global liquidity shrinks as a result of a change in the Fed's monetary policy stance, speculative trading will slow down, leading to a decline in commodity prices.

• Journal of Intelligence and Information Systems
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• v.28 no.4
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• pp.81-94
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• 2022

Real estate and artworks were considered challenging investment targets for individual investors because of their relatively high average transaction price despite their long investment history. Recently, the so-called fractional investment, generally known as investing in a share of the ownership right for real-life assets, etc., and most investors perceive that they actually own a piece (fraction) of the ownership right through their investments, is gaining popularity. Founded in 2016, Musicow started the first service that allows users to invest in copyright fees related to music distribution. Using the LSTM algorithm, one of the deep learning algorithms, this research predict the price of right to participate in copyright fees traded in Musicow. In addition to variables related to claims such as transfer price, transaction volume of claims, and copyright fees, comprehensive indicators indicating the market conditions for music copyright fees participation, exchange rates reflecting economic conditions, KTB interest rates, and Korea Composite Stock Index were also used as variables. As a result, it was confirmed that the LSTM algorithm accurately predicts the transaction price even in the case of fractional investment which has a relatively low transaction volume.