• Title/Summary/Keyword: 거래규모

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A Macro Analysis of Technology Billionaires : A Retrospective Approach of Technology Commercialization (기술업 억만장자 거시분석 : 거꾸로 보는 기술사업화 관점에서)

  • Kim, Moonhwan;Seol, Sung-Soo
    • Journal of Korea Technology Innovation Society
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    • v.21 no.4
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    • pp.1606-1632
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    • 2018
  • This study analyzes the technology billionaires with the combination of technology commercialization studies and billionaire research. However, we will not discuss individual billionaires, but discuss the general features of technology billionaires. This study assumes that the answers to the technology commercialization studies are in the technology billionaire researches. In other words, unlike the technology commercialization studies so far, it can be said that it is a retrospective approach of technology commercialization to see the process and the beginning from the result. The conclusion of this study is as follows. First, technology billionaires are in the middle rank among industries, but their wealth is the best. Second, in the technology sector, four 20s are self-made billionaires. It is a matter of securing technological opportunities, not a long training and preparation. Third, the determinants of technology billionaires are population size and venture capital investment. This means technological efforts and sufficient market conditions are the basis for the development of technology billionaires. Fourth, only high income is not the determinant of technology billionaires. There are many small countries that are very rich but can not utilize technology. Technology billionaires can appear in countries with a minimum of US $ 20,000, unless the country has a huge population such as China and India. Sixth, technology billionaires in the diversified business, classified as Chaebol in low-income countries become scarce in the countries over the US $ 40,000. Billionaires will increase rapidly from the mid-2000s. However, this is not explained by the income increase effect. The world's income increase has been slowing since the 1980s. The market economy effect of the socialist countries is not the reason, because it is limited to some socialist countries. Ultimately, the main reason is the new technology opportunity called the IT paradigm.

A Study on the Relationship among Attachment to Pet, Purchasing Attributes of Pet Products, Satisfaction, and Behavioral Intention (반려동물에 대한 애착도와 반려동물용품의 구매속성, 만족 및 행동의도와의 관계에 관한 연구)

  • Park, Eun-Ok;Shin, Jae-Ik;Park, Min-Yeong
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.20 no.9
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    • pp.279-289
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    • 2019
  • This study is conducted to provide marketing implications for the growing pet-related market by identifying the impact of attachment to pets on the purchasing attributes of pet goods and the relationship between the purchasing attributes, satisfaction, and behavioral intention.The survey was conducted on 173 respondents among the pet owners who had purchased pet products (beauty/bathing goods). The confirmatory factor analysis and path analysis were conducted using SPSS 22.0 and AMOS 21.0. This analysis results showed that attachment to a pet significantly influences the purchasing attributes of pet products: price appropriateness, quality, design, reputation and the sales environment. The relationship between the product purchasing attributes, satisfaction, and behavioral intention showed that price appropriateness, quality, and the sales environment of the product purchasing attributes had a significant impact on satisfaction, but the product's design and reputation do not. Satisfaction has a significant effect on behavioral intention. This study demonstrates that the pet product market should consider product quality, price appropriateness, use and an accessible sales environment based on the characteristics of pets rather than considering the design or reputation of the owner's preference of product.

A Study on the Patent Valuation for SMEs' Patent Management (중소기업의 특허경영을 위한 특허가치평가에 관한 연구)

  • Yang, Hui-Man
    • Journal of Industrial Convergence
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    • v.15 no.2
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    • pp.17-26
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    • 2017
  • In light of the fact that the effect of intellectual property rights like patent on enterprise competitiveness is growing, rational valuation of patent rights, which are own by enterprises, is required because accurate patent valuation can bring about the activation of the technology exchange market and enhancing the values of enterprises as well as the security of funds through technology security. However, in reality, interest in the value of patent rights is not great due to many variables, affecting patent rights, and diverse attributes, and non-generalized methods of valuation. Therefore, studies on patent valuation for patent management of Small and Medium Enterprises is required. This thesis examined patent valuation for the patent management of Small and Medium Enterprises based on literature studies, and attempted to find factors, affecting patent valuation by finding patent valuation factors through experts, organizing, and analyzing these factors. 10 essential factors, which are demonstrated in this research, are the commercialization possibilities of technology, market competitiveness, the possibility of technology commercialization, market size, the originality of acquired technology, the stability of the right(the possibility of invalidating), the level of technology, technology competitiveness, the ripple effect of technology, and the characteristics of technology(original technology/application technology).

A Comparative Study of Ship Collision Legislation in Korea and China (한국과 중국의 선박충돌법제의 비교법적 연구)

  • Jiancuo, Qi
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.28 no.4
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    • pp.577-586
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    • 2022
  • The increasing trade volume between Korea and China has rapidly expanded the maritime transport between the two countries. However, safety, particularly considering the ship collisions in the Yellow Sea and East Sea waters, has not been fully ensured. These collision accidents in that region endanger traffic safety and the marine environment, moreover, it has the potential to cause legal complexity because Korea and China haver domestic legislation, that are considerably different in some aspects. International conventions and domestic legislation in China provide detailed laws with respect to ship collisions, however, the theory of ship collision infringement still needs to be improved, enriched, and developed. Because these laws are not very clear on the resolution of disputes resulting from ship collisions, we focused on the final judgments by the Supreme Court of China (SPC), and the judicial judgments set by the Maritime Court of China. This study aimed to explore the domestic legislation applicable to disputes related to ship collisions in China, and comparatively investigate the legal provisions of Korea and China on the issue of ship collisions, particularly on the aspect of damage compensation, fault ration, and liability apportionment.

An Accurate Cryptocurrency Price Forecasting using Reverse Walk-Forward Validation (역순 워크 포워드 검증을 이용한 암호화폐 가격 예측)

  • Ahn, Hyun;Jang, Baekcheol
    • Journal of Internet Computing and Services
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    • v.23 no.4
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    • pp.45-55
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    • 2022
  • The size of the cryptocurrency market is growing. For example, market capitalization of bitcoin exceeded 500 trillion won. Accordingly, many studies have been conducted to predict the price of cryptocurrency, and most of them have similar methodology of predicting stock prices. However, unlike stock price predictions, machine learning become best model in cryptocurrency price predictions, conceptually cryptocurrency has no passive income from ownership, and statistically, cryptocurrency has at least three times higher liquidity than stocks. Thats why we argue that a methodology different from stock price prediction should be applied to cryptocurrency price prediction studies. We propose Reverse Walk-forward Validation (RWFV), which modifies Walk-forward Validation (WFV). Unlike WFV, RWFV measures accuracy for Validation by pinning the Validation dataset directly in front of the Test dataset in time series, and gradually increasing the size of the Training dataset in front of it in time series. Train data were cut according to the size of the Train dataset with the highest accuracy among all measured Validation accuracy, and then combined with Validation data to measure the accuracy of the Test data. Logistic regression analysis and Support Vector Machine (SVM) were used as the analysis model, and various algorithms and parameters such as L1, L2, rbf, and poly were applied for the reliability of our proposed RWFV. As a result, it was confirmed that all analysis models showed improved accuracy compared to existing studies, and on average, the accuracy increased by 1.23%p. This is a significant improvement in accuracy, given that most of the accuracy of cryptocurrency price prediction remains between 50% and 60% through previous studies.

Industrial Technology Leak Detection System on the Dark Web (다크웹 환경에서 산업기술 유출 탐지 시스템)

  • Young Jae, Kong;Hang Bae, Chang
    • Smart Media Journal
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    • v.11 no.10
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    • pp.46-53
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    • 2022
  • Today, due to the 4th industrial revolution and extensive R&D funding, domestic companies have begun to possess world-class industrial technologies and have grown into important assets. The national government has designated it as a "national core technology" in order to protect companies' critical industrial technologies. Particularly, technology leaks in the shipbuilding, display, and semiconductor industries can result in a significant loss of competitiveness not only at the company level but also at the national level. Every year, there are more insider leaks, ransomware attacks, and attempts to steal industrial technology through industrial spy. The stolen industrial technology is then traded covertly on the dark web. In this paper, we propose a system for detecting industrial technology leaks in the dark web environment. The proposed model first builds a database through dark web crawling using information collected from the OSINT environment. Afterwards, keywords for industrial technology leakage are extracted using the KeyBERT model, and signs of industrial technology leakage in the dark web environment are proposed as quantitative figures. Finally, based on the identified industrial technology leakage sites in the dark web environment, the possibility of secondary leakage is detected through the PageRank algorithm. The proposed method accepted for the collection of 27,317 unique dark web domains and the extraction of 15,028 nuclear energy-related keywords from 100 nuclear power patents. 12 dark web sites identified as a result of detecting secondary leaks based on the highest nuclear leak dark web sites.

An Empirical Study of effect how COO Factors impact on COO Performance in accordance with Origin Images (원산지 이미지에 따라 원산지 요인들이 원산지제도 성과에 미치는 영향에 관한 연구)

  • Kim, Chang-Bong;Hyun, Hwa-Jung
    • Korea Trade Review
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    • v.41 no.4
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    • pp.131-155
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    • 2016
  • Recently, the global trade environment has been composed of transactions in trade through integration of the global supply chain network. As FTAs are being signed between countries, the country of origin (COO) system on products has become an important issue. Companies are procuring raw materials through global sourcing and supplying to the retail markets. This research deducted major factors regarding the verification and utilization of the COO system through research on domestic and international literatures, and verified the mediating effects on the verification and utilization elements of the country image and the brand image of COO on the performance of the COO system through empirical study. For the purpose of this research, we conducted a survey implementing the COO system and analyzed the 152 data collected. The results of this research is as follows: First, the external verification level of the COO system has an impact on the performance of the COO system, and a mediating effect on the country image and the brand image of the COO. Second, the management capability of the COO has an impact on the performance of the COO system, and a mediating effect on the brand image of the COO. A research comparing and analyzing the difference in establishment of the verification system of the COO depending on the size of a corporation is necessary.

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An Empirical Analysis on the Appeal Case of Origin Verification for Korean Import Goods Using Bootstrapping Technique (부트스트랩 기법을 활용한 한국 수입 상품의 원산지검증 불복사례 실증분석)

  • Kim, Jong-Hyuk;Heo, Sang-Hyun;Kim, Suk-Chul
    • Korea Trade Review
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    • v.42 no.4
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    • pp.93-114
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    • 2017
  • Under the FTA agreement, preferential tariffs between FTA members will result in tariff reductions. In order to ensure the stable use of the FTA tariff system, it is necessary for the customs authorities to determine whether the origin goods are clearly applicable. This study analyzed the procedure of appeal according to the origin verification system based on the decision made by Korea Customs Service and Tax Tribunal. From this, we examined whether the rate of re-claiming a case rejected in the 'Review System of the Legality Before Taxation' differs. In addition, we carried out a quantitative analysis using bootstrapping technique in order to overcome the scarcity cases of verification of origin among FTA members. The implications of this paper are summarized as follows: First, we tested the hypothesis that the re-claiming rate of Western countries is higher. Second, some issues represented higher re-claiming rate. Third, there was no significant difference between the verification group and the re-claiming rate. Finally, even if an applicant makes a claim again, there is a possibility of being rejected again.

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A Study on the Effects of Franchise's Factors and Performance : Analysis Disclosure Agreement (프랜차이즈 가맹본부의 특성과 가맹점 사업 성과간의 영향에 관한 연구 : 정보공개서를 중심으로)

  • Lee, Eun-Ji;Cho, Chul-Ho
    • The Korean Journal of Franchise Management
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    • v.3 no.2
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    • pp.20-38
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    • 2012
  • After being introduced into franchises industry, franchise has made a phenomenal growth in a short time and a substantial contribution to job creation and economic revitalization. Nevertheless, franchise business operators failed a business or low profit because of a lack of information and indiscriminate foundation. Therefore the first object of this study is characteristics of franchise's factors on disclosure agreement in franchise associate website. second is examinations about casual relationship between factor and franchise performance with using Excel and SPSS 18.0 versions. The findings of present study were as follows. First, franchises manage small business mostly(financial data, scale so on) and franchise's type focused the food service industry. Specially, a business district select unprotected contract. Second, in franchise's factors, we could find statistically significant effect on annual average sales and annual average net profit. However growth rate of franchise don't have statistically significant effect. Third, we could find statistically significant difference on analysis both franchises' factors and financial data. In conclusion, we must consider of franchise industry environment and success effect on performance in starting one's business. Furthermore franchises plan ways for their sustained growth and protection of rights and interests. Finally business operator draw up their information and upgrade continuously for franchises industry growth. Discussion and theoretical and managerial implications of the results were described along with future franchise research suggestions.

Art transaction using big data Artist analysis system implementation (미술품 거래 빅데이터를 이용한 작가 분석 시스템 구현)

  • SeungKyung Lee;JongTae Lim
    • Journal of Service Research and Studies
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    • v.11 no.2
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    • pp.79-93
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    • 2021
  • The size of the domestic art market has increased 21.9% over the past five years as of 2018 to KRW 448.2 billion and the number of transactions has also increased 31.6% to 39,367 points maintaining growth for the fifth consecutive year. Art distribution platforms are diversifying from galleries and auction-style offline to online auctions. The art market consists of three areas: production (creation), distribution (trade), and consumption (buying) of works and as the perception of artistic value as well as economic value spreads interest is also increasing as a means of investment. Consumers who purchase works and think of them as a means of investment technology have an increased need for objective information about their works, but there is a limit to collecting and analyzing objective and reliable statistics because information provision in the art market distribution area is closed and unbalanced. This paper identifies objective and reliable art distribution status and status through big data collection and structured and unstructured data analysis on art market distribution areas. Through this, we want to implement a system that can objectively provide analysis of authors in the current market. This study collected author information from art distribution sites and calculated the frequency of associated words by writer by collecting and analyzing the author's articles from Maeil Business, a daily newspaper. It aims to provide consumers with objective and reliable information.