• Title/Summary/Keyword: Market Transformation

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Perspectives on NFT art and art market (NFT 아트와 미술시장 유통의 변화에 대한 전망)

  • Kwon, Eun Yong
    • Trans-
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    • v.13
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    • pp.1-16
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    • 2022
  • Recently, the method of contacting and purchasing NFT art has been popularly evolving, and various prospects and predictions for NFT art have emerged. The discussion of NFT art is mainly a hot topic in terms of market size, profit, and sustainability. As the transition to digital accelerated after COVID-19, almost all genres of culture and arts faced a forced transition with the topic of combining digital and technology, but in terms of profitability, it was generally difficult to guarantee positive continuity. On the other hand, the combination of art and blockchain, and the new distribution method called NFT, attracted a lot of attention by causing fundamental changes that lead to technological transformation, continuity through profit creation, and even genre expansion of visual art. The discourse on NFT and the art market is a recent phenomenon and is being discussed focusing on statistics and numerical reports through data from newspapers and art-related research institutes rather than academic analysis or research. However, discussions related to NFT art should be considered in various aspects, such as the incorporation of technology and art, changes in distribution methods, and changes in creative methods according to media changes, not just short stories of phenomena such as high prices and winning bids. In this paper, we would like to examine the impact of changes in creators and distribution methods.

첨단산업과 패션산업의 경쟁전략적 유사성에 관한 연구 : 일본 Y사의 사례 연구

  • 김양희
    • Proceedings of the Technology Innovation Conference
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    • 1997.07a
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    • pp.224-243
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    • 1997
  • The study examines the similarities of competitive strategy between fashion industry and high-tech industry through a case study of a Japanese maker. From the study, some implications are drawn for the Korean fashion industry. It is hoped that this, will help towards establishing a suitable competitive strategy for firms in this industry. In the fashion industry, the product life cycle is so short as to prompt a new product obsolete too quickly, and the extent of product differentiation is remarkably extensive compared to any other industry. Generally speaking, firms in this industry focus more of their resources on product development and marketing rattler than on production and they attempt to maneuver the speed when they are required to enhance their competitive edge. This is enabled through being, as one might expect, information- and technology- intensive as are high-tech industries. In this sense, that of the competitive strategy of a firm in fashion industry to be similar to high-tech industry. The Japanese firm Y has transformed itself a leading firm in fashion uniform segment. The firm could achieve this status by integrating each function needed for creating customer*s value, that is, product development, production and marketing within one Quick Response System. For this purpose, Y introduced a bundle of high-tech communication systems such as SPD, SDS, ATOM, NICS and so on. In this sense it can be said that Y was aware of what sort of competitive strategy was required in the industry. Implications for Korean firms is that, first, the magnitude of understanding the industry specific factors in establishing competitive strategy in the fashion industry, are speed, flexibility and systematic integration supported by high technology which are characteristic of high-tech industries. Secondly, as can be seen in the fact that Y emphasized logistics in its technological transformation, the significance of logistics control is a key to manipulating speed and flexibility in the industry. To sum up, those who have insight into above findings will be likely to keep their competitiveness in the industry not only in the Korean market but also in global market in the near future.

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Comparison Shopping Effectiveness Model and its Strategic Usage in e-Commerce (전자상거래 비교구매 효과성 모형과 활용 전략)

  • Lee, Jae-Won
    • The Journal of the Korea Contents Association
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    • v.11 no.5
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    • pp.291-301
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    • 2011
  • This research describes the comparison broker's role and its effectiveness measurement framework of comparison shopping. We verified seller-led comparison challenge method provide comparison information of products to buyers more efficiently. Buyer's satisfaction of purchase (S) can be defined as an interactive function between seller's competitiveness vector (P) of products that supplied to the market, and buyer's informed level vector (B) of products that is known from a lot of sources. Then the buyer's informed level can be changed through the information analysis among products by transformation process using comparison matrix (C). So the role of comparison shopping is to construct a comparison matrix and to serve it to the buyers, and to change the buyer's informed level. The changed informed level influences a buyer's satisfaction, that improved satisfaction of purchase is defined as the effectiveness of comparison shopping. As a perfect construction and usage of comparison matrix is impossible, a more efficient method for improving the comparison effectiveness is the comparison challenge. This research shows that comparison shopping makes 9.32% and comparison challenge makes 19.11% enhancement of comparison effectiveness through television market data experiments.

Economic Feasibility Analysis of Applepear(Ping Guo Li) Farm Development in Yanbian Area in China ('사과배' 원 조성사업의 경제적 타당성분석 - 중국 연변지역을 중심으로 -)

  • Zhao, Lan-Hua;Lim, Jae-Hwan
    • Korean Journal of Agricultural Science
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    • v.29 no.1
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    • pp.55-65
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    • 2002
  • The most representative fruit in Yanbian area is Applepear(Ping Guo Li). It has been a important resource of farm income. According to the economic growth and income Increase of individual consumers, food consumption pattern will be changed from grain to high value cash crops such as Applepear and vegetables. The globalization and adapt ion of free market oriented economic policy of China government have led to change the collective farming system to individual farm management system. The institutional transformation have brought about high productivity of farm products and incomes of farmers. Therefore the plantation area of Applepear and requirement of investment cost for establishment of Applepear farms have increased rapidly since the 1980's, the time of perestroika and glasnost in Chinese economy. In prosperity of Chinese agriculture, individual farmer's decision making as free selection of farmland use, selection of high pay-off crops, free sale of the products in free market and credit support for the project might be the most important factors. In case of Applepear farm development, net present value of the project net benefit was estimated at 55.518won per hectare and financial rate of return was 21%. The benefit/cost ratio of the project was 2.11. Considering 10% of discounting rate or the opportunity cost of capital in China the Applepear farm development project showed us economically feasible in the light of the above efficiency indices. The Chinese government has to support Applepear farm development project financially and institutionally considering the high-payoff benefit of the fruit and farmer's in come increase in the future.

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Non-linear Regression Model Between Solar Irradiation and PV Power Generation by Using Gompertz Curve (Gompertz 곡선을 이용한 비선형 일사량-태양광 발전량 회귀 모델)

  • Kim, Boyoung;Alba, Vilanova Cortezon;Kim, Chang Ki;Kang, Yong-Heack;Yun, Chang-Yeol;Kim, Hyung-Goo
    • Journal of the Korean Solar Energy Society
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    • v.39 no.6
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    • pp.113-125
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    • 2019
  • With the opening of the small power brokerage business market in December 2018, the small power trading market has started in Korea. Operators must submit the day-ahead estimates of power output and receive incentives based on its accuracy. Therefore, the accuracy of power generation forecasts is directly affects profits of the operators. The forecasting process for power generation can be divided into two procedure. The first is to forecast solar irradiation and the second is to transform forecasted solar irradiation into power generation. There are two methods for transformation. One is to simulate with physical model, and another is to use regression model. In this study, we found the best-fit regression model by analyzing hourly data of PV output and solar irradiation data during three years for 242 PV plants in Korea. The best model was not a linear model, but a sigmoidal model and specifically a Gompertz model. The combined linear regression and Gompertz curve was proposed because a the curve has non-zero y-intercept. As the result, R2 and RMSE between observed data and the curve was significantly reduced.

A Research for China's Corruption Problem and the Government's Counter Measures (중국의 부패상과 정부의 대응에 관한 연구)

  • Chun, Ka-Lim
    • International Area Studies Review
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    • v.12 no.2
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    • pp.351-377
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    • 2008
  • Corruption in China became increasingly serious during the early period of its social transition, resulting in severe economic losses and huge challenges to China's government institution, as well as gradually becoming socially widespread. Recently. China's political corruption is an outcome of the attenuated political control, which has been caused by a systemic change from planned economy to market economy since 1978, and the lack of institutionalization to relieve such transition. Besides, the immature market system and state's intervention in the economy are other factors for the corruption. In short, current China's corruption can be regarded as a structuralized phenomenon. This article identified such circumstance by analyzing the scope, degree, and scale of the corruption. Overall assessment of the some factors suggests that present economic modernization is a principal cause for Chinese corruption while the other factors-monopoly power system in the Chinese Communist Party and the transformation of connection-are important but secondary.

An Analysis of the Effects of WTI on Korean Stock Market Using HAR Model (국내 주식시장 변동성에 대한 국제유가의 영향: 이질적 자기회귀(HAR) 모형을 사용하여)

  • Kim, Hyung-Gun
    • Environmental and Resource Economics Review
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    • v.30 no.4
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    • pp.535-555
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    • 2021
  • This study empirically analyzes the effects of international oil prices on domestic stock market volatility. The data used for the analysis are 10-minute high-frequency data of the KOSPI index and WTI futures price from January 2, 2015, to July 30, 2021. For using the high-frequency data, a heterogeneous autoregression (HAR) model is employed. The analysis model utilizes the advantages of high frequency data to observe the impact of international oil prices through realized volatility, realized skewness, and kurtosis as well as oil price return. In the estimation, the Box-Cox transformation is applied in consideration of the distribution of realized volatility with high skewness. As a result, it finds that the daily return fluctuation of the WTI price has a statistically significant positive (+) effect on the volatility of the KOSPI return. However, the volatility, skewness, and kurtosis of the WTI return do not appear to affect the volatility of the KOSPI return. This result is believed to be because the volatility of the KOSPI return reflects the daily change in the WTI return, but does not reflect the intraday trading behavior of investors.

Quantile Co-integration Application for Maritime Business Fluctuation (분위수 공적분 모형과 해운 경기변동 분석)

  • Kim, Hyun-Sok
    • Journal of Korea Port Economic Association
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    • v.38 no.2
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    • pp.153-164
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    • 2022
  • In this study, we estimate the quantile-regression framework of the shipping industry for the Capesize used ship, which is a typical raw material transportation from January 2000 to December 2021. This research aims two main contributions. First, we analyze the relationship between the Capesize used ship, which is a typical type in the raw material transportation market, and the freight market, for which mixed empirical analysis results are presented. Second, we present an empirical analysis model that considers the structural transformation proposed in the Hyunsok Kim and Myung-hee Chang(2020a) study in quantile-regression. In structural change investigations, the empirical results confirm that the quantile model is able to overcome the problems caused by non-stationarity in time series analysis. Then, the long-run relationship of the co-integration framework divided into long and short-run effects of exogenous variables, and this is extended to a prediction model subdivided by quantile. The results are the basis for extending the analysis based on the shipping theory to artificial intelligence and machine learning approaches.

Establishment of a BaTiO3-based Computational Science Platform to Predict Multi-component Properties (다성분계 물성을 예측하기 위한 BaTiO3기반 계산과학 플랫폼 구축)

  • Lee, Dong Geon;Lee, Han Uk;Im, Won Bin;Ko, Hyunseok;Cho, Sung Beom
    • Journal of Sensor Science and Technology
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    • v.31 no.5
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    • pp.318-323
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    • 2022
  • Barium titanate (BaTiO3) is considered to be a beneficial ceramic material for multilayer ceramic capacitor (MLCC) applications because of its high dielectric constant and low dielectric loss. Numerous attempts have been made to improve the physical properties of BaTiO3 in response to recent market trends by employing multicomponent alloying strategies. However, owing to its significant number of atomic combinations and unpredictable physical properties, finding a traditional experimental approach to develop multicomponent systems is difficult; the development of such systems is also time-consuming. In this study, 168 new structures were fabricated using special quasi-random structures (SQSs) of Ba1-xCaxTi1-yZryO3, and 1680 physical properties were extracted from first-principles calculations. In addition, we built an integrated database to manage the computational results, and will provide big data solutions by performing data analysis combined with AI modeling. We believe that our research will enable the global materials market to realize digital transformation through datalization and intelligence of the material development process.

A Study on the Characteristics of the Delivery System in Welfare to Work : the Case of the Employment Partnerships in United Kingdom (근로연계복지정책의 전달체계 성격에 관한 연구 - 영국 뉴딜정책(New Deal)의 파트너십전략을 중심으로 -)

  • Lim, Su Kyoung;Kwon, Hyeok Chang
    • Korean Journal of Social Welfare Studies
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    • v.42 no.2
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    • pp.71-96
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    • 2011
  • This study explores the characteristics of the delivery system of the New Deal, with a particular attention to the partnerships and welfare governance. The study analyzes the partnerships of the New Deal policy in Britain, which consist of two dimensions of partnerships. The results are: First, the method of the transformation of delivery in central government dimension is the unity of the governmental organizations, Another outcome of reform in the central government dimension is the establishment of the Jobcentre Plus. Second, the characteristic of delivery system in public-private dimension is the contract through competition, which means the introduction of market paradigm. Especially, the reform of the delivery system in the local dimension is to deliver integrated services through the introduction of labour market paradigm in demand-side. The central government also supports the reform in the local level. This study also explores the forms of welfare governance in these dimensions, This study suggests the importance of united services in the Korean welfare to work.