• 한국정보시스템학회지:정보시스템연구
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• 제8권2호
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• pp.129-143
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• 1999

A great number of companies are currently examining the opportunities made available through the internet. This research aims to identify the factors that influence the adoption of the internet market. The innovation-IT-diffusion theory provide the theoretical foundation for this study. Seven factors were found to influence the adoption level of the internet market. They are top management support, cost efficiency, inclination toward new technology, absorptive capacity, institutional support, competitors move and customer pressure. Nonparametric test was used to test hypotheses. The results shows that top management support is the most important factor, and institutional support is not related to the adoption of the internet market.

• 복식문화연구
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• 제19권2호
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• pp.360-375
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• 2011

The fashion market focuses on consumers and maximizes consumers' satisfaction. The fashion market has been segmented to better satisfy the variety of consumer group. Although market segmentation has been studied, efficiency and effectiveness of market segmentation continuously bring problems. Also, problems of prediction about real consumer behavior, and efficiency and effectiveness of standards are pointed out. The purpose of this study is to determine the most important variables for dividing fashion product buyers. This study was designed as qualitative study and in-depth interview was conducted. The in-depth interview was conducted with five experts in fashion intelligence agency. In-depth interview was completed by an analytic induction and an investigator triangulation. Questions were about characteristics, demographic characteristics, important factors and fashion buying relationship, and interests of current clothing shoppers. The results of qualitative research demonstrated that clothing shoppers, with their valuable consumption and selective buying behaviors, seek differentiated products. They also long for high quality apparel for its price, because of their valuable consumption and price centered tendency. They illustrated active sides, such as enthusiastic information searching and emotional or experiential consumption, rather than attitudinal sides. The variables for dividing fashion product buyers included: "innovative seeking", "symbolic seeking", "personalized seeking", "quality-seeking", "selective seeking", "price-seeking", "utility-seeking", "hedonic seeking", "sensitive seeking", "brand-seeking", "digital seeking", "information-seeking", and "eco-seeking".

• 경영과정보연구
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• 제18권
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• pp.115-132
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• 2006

The main findings of this study are summarized as follows; 1) For medium-small size Family Restaurant(FR) in the FR market, nowadays, survival is the key issue. If the medium-small size FR is to survive and continue to grow under this competitive environment, it must pursued the efficiency of management with niche marketing strategy. 2) This study is to describe the niche marketing strategy for medium-small size FR. Strategic niche marketing must be based on the target market, market positioning and strategic marketing mix. 3) Medium-small size FR needs to develop the marketing mix factors for the niche marketing strategy. It needs to make customers understand what the FR differs from current and potential competitors. Essentially the medium-small size FR must take a competitive advantage. Hence it will appeal to a substantial number of the segments customers. 4) In using niche marketing strategy, a medium-small size FR must establish the objectives, select the tools, develop the decisions on product differentiation, market segmentation and positioning under various strategic niche marketing factors 5) By carrying out the niche marketing strategy on the target market, customer's desire can be further fulfilled. When management efficiency is improved, we can better cope with changing environment.

• The Journal of Asian Finance, Economics and Business
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• 제7권12호
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• pp.555-564
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• 2020

The purpose of this study is to analyze the efficiency of research institutes of futures companies, and to promote the development of futures market and real economy. This study employs DEA-solver software to conduct super-efficiency data envelopment analysis (SE-DEA), and also selects 40 representative futures research institutes in China as decision-making units (DMUs). For data of input and output indicators, we collect from the China Futures Association, Futures Daily, Hexun.com and Webstock.com respectively, and the time duration is the 103 trading days between from October 2019 to February 2020. Then the indicator for the strategy accuracy rate is calculated separately by analyzing the strategies published by each DMUs in public media. In conclusions, most institutes have excessive investment in human resources, and also have insufficient strategy accuracy rate and insufficient published research reports. The findings of this study suggest that Chinese futures companies need to improve the efficiency of research institutes, and better meet the demand of the financial market. In fact, the analysis of the efficiency of the futures company research institute has not been found in the literature worldwide, Application of DEA model in efficiency analysis of securities and futures research institutions and establishment of indicators are the innovations of this paper.

• 대한산업공학회지
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• 제32권3호
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• pp.200-209
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• 2006

Load building is an important step to make the delivery supply chain efficient. We present a family of load makeup algorithms using market based control strategy, named LoadMarket, in order to build efficient loads where each load consists of a certain number of finished products having destinations. LoadMarket adopts Clark-Wright algorithm for generating initial endowment for Load Traders who cooperate to minimize either total travel distance or the variance with respect to the travel distances of loads by means of the spot market or double-sided auction market mechanism. The efficiency of the LoadMarket algorithms is illustrated using simulation based experiments.

• 통상정보연구
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• 제8권4호
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• pp.255-275
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• 2006

The objective of this study is to find the traits of the automobile parts industry in Korea and to analyze the performance of overseas market research. Considering the characteristics of the automobile parts industry & overseas market research, the proposed hypothesis are based on practical business in exporting & importing enterprises. A questionnaire was used to analysis the performance of overseas market research. According to the findings, first. oversea market research in the automobiles parts industry should carry out by various means because of the performance & traits differ from industry to industry. second, direct oversea market research(ex, trade exhibition) is better than indirect overseas market research due to high efficiency. finally, to support exporting company, the various data of economic, trade, international commerce should improve the quality.

• 자원ㆍ환경경제연구
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• 제15권2호
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• pp.247-267
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• 2006

본 논문은 세계 자동차시장의 단일화 현상과 규모의 경제라는 특성을 반영하는 독점적 경쟁시장 모형을 개발하여 환경규제의 효과를 분석하는 것이다. 이를 위하여 Dixit and Stiglitz의 모형과 규모의 경제가 반영된 레온티에프 생산함수를 이용한 독점적 경쟁시장모형을 설정하여 연비규제와 환경세 부과가 시장에 미치는 효과를 비교분석하였다. 분석결과 연비규제는 시장균형가격을 상승시키고, 개별 기업의 판매량은 한계비용증가율과 고정비용증가율의 크기에 의해서 결정되며, 기업의 수는 소비자의 소득에서 완성차에 대한 지출비중증가율과 고정비용증가율의 크기에 의해서 결정되는 것을 알 수 있다. 그리고 시장 전체의 총판매량은 고정비용증가율에 관계없이 지출비중증가율이 한계비용증가율보다 크면 증가한다. 한편 종량세 형태로 환경세가 부과되는 경우 균형가격은 상승하고 각 기업들의 판매량은 감소하는 반면 기업의 수는 변화가 없다. 연비규제와 환경세의 효과를 비교하기 위해서 양 정책수단의 한계비용 증가효과가 같도록 설정할 때 환경세가 연비규제보다 개별 기업과 산업 전체의 판매량 감소에 대한 효과가 더 크다. 그러나 연비규제로 인한 완성차에 대한 지출비중의 변화율이 고정비용의 증가율보다 크면 환경세 부과로 인한 기업의 퇴출효과가 연비규제의 경우보다 크게 된다.

• Journal of Korea Trade
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• 제23권5호
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• pp.45-65
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• 2019

Purpose - As the well-known Structure-Conduct-Performance paradigm implies, risk structure of a corporation may affect its risk management activity and the activity may in turn determine its performance. Depending on its goal, Foreign Direct Investment (FDI) can shape its risk structure, risk management and its performance. Under this assumption, we investigate the relationship between the goals of FDI and risk management for the first time in academics. Design/methodology - This empirical research uses a survey of 279 current Korean enterprises' FDIs in China with the recently developed business risk quadrant model. Companies are classified into either a market- or an efficiency-seeking group, to identify how each group perceives and manages risks, and values the performance of risk management. Also, we apply integrated risk management method that multinational corporations have introduced in China, then verify the mediating effect between risk factors and performance. Findings - Our research shows the FDIs can expose themselves to differing risk structure although risk management activities simply represent the level of empowerment given to local management by headquarter due to limit of sample size despite diversity of risk and risk management tools. To sum, market seekers are found to have more strategic risk (revenue related risk) than efficiency seekers with financial risk (cost related risk). The market seekers can manage their risk by empowering their local organisation while the efficiency does the opposite ways. The risk management appears to be successful in general. Originality/value - Previous studies on small and medium enterprises' FDIs to China have concentrated on the analysis of entry determinants, withdrawal factors and individual risk management. Meanwhile, this research establishes enterprise-wide risk factors faced by the companies that advance into China, according to the method of the classification by ERM and verifies if they could synthetically improve performance through risk corresponding measures.

• 유통과학연구
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• 제12권8호
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• pp.5-15
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• 2014

Purpose - The method of TV home shopping is a kind of retail method that provides the viewer with information about products and, further, sells the products to consumers through the media of television. The domestic home-shopping industry has been expanding since 1995, and there are six companies in this arena as of 2012. In this study, we evaluate the management efficiency of TV home-shopping companies and provide suggestions for improving efficiency, using the DEA (data envelopment analysis) model. Hence, we expect to contribute to the progress of the companies' efficiency and the development of the TV home-shopping industry, where deepening competition is inevitable because it is experiencing the maturing market stage in its life cycle. Research design, data, and methodology - Efficiency is the ratio of the quantity of input to the quantity of output of a product or service. It is necessary to estimate aggregate inputs and aggregate outputs, which are calculated by applying a weighting to a number of input and output factors, to measure the efficiency. The DEA model is divided into the CCR model and the BCC model. The CCR model is a basic model that assumed constant returns to scale (CRS), and the BCC model extends the CCR model to accommodate technologies exhibiting variable returns to scale (VRS), and concerns only the technical efficiency without considering the efficiency of returns to scale. In this study, we consider six companies each year from 2008 to 2012 as a DMU (Decision Making Unit) and analyze the differences in efficiency for each company in each year. Furthermore, we evaluate the operating characteristics of TV home-shopping companies, using three models, in accordance with the overall performance, profitability, and marketability of the business. Results - The result of the analysis, using DEA models, shows that Hyundai Home Shopping (2009, 2010, 2011), GS Home Shopping (2011), NS Home Shopping (2011) and CJ O Shopping (2012) possess MPSS (most productive scale size), with a score 1.0 in CCR, BCC, and scale efficiency. Particularly, Hyundai Home Shopping is shown to be the most efficient in terms of overall business performance, marketability, and profitability. The overall efficiency of the home shopping industry has displayed an increasing trend since 2008, even though it decreased marginally in 2012; further, we can observe that home shopping companies operate with increasing efficiency with the passage of time. Conclusions - Home shopping companies have focused on market expansion rather than profits, as they displayed better efficiency in marketability than increase in profitability during the period 2008-2012. In addition, the main reason for the increased efficiency in the home shopping industry is the market expansion through the revenue increase of each home shopping company. This study can be used as a reference when home shopping companies attempt to devise future strategies, as it suggests efficiency benchmarks and development levels for each home shopping company.

• 정보처리학회논문지:컴퓨터 및 통신 시스템
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• 제11권8호
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• pp.269-280
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• 2022

블록체인 기반 탈중앙화 금융 시장의 등장과 함께 분산 금융 어플리케이션의 사용자와 자본 유동성이 크게 증가하고 있다. 자동화 마켓 메이커는 탈중앙화 거래 플랫폼의 유동성을 바탕으로 자동으로 거래 단가를 계산하는 프로토콜로, 거래 플랫폼의 유동성 풀을 활용하여 구매자와 판매자가 동 시간대에 존재하지 않아도 거래의 성사를 가능하게 하여 현재 탈중앙화 거래 시장에서 가장 일반적으로 사용되고 있다. 그러나 자동화 마켓 메이커는 거래의 비용 효율이 거래에 사용되는 특정 유동성 풀의 유동성 규모에 의존하여, 유동성 풀의 규모가 작고 거래의 규모가 클수록 거래의 비용 효율이 크게 감소한다는 단점이 있다. 이를 해결하기 위한 방법으로 상대적으로 유동성의 규모가 큰 유동성 풀로 거래 경로를 우회하여 비용 효율을 개선하는 거래 경로 라우팅 알고리즘이 채택되고 있지만, 단일 거래 경로만을 사용하기 때문에 여전히 개선의 여지가 존재한다. 본 논문에서는 거래 경로를 우회하는 것에 더하여 거래 규모를 분산하여 다수의 거래 경로를 동시에 탐색하는 다중 경로 라우팅 알고리즘을 제안하고, 해당 알고리즘을 사용하여 자동화 마켓 메이커 기반의 거래 환경에서 기존의 거래 경로 라우팅 알고리즘에 비해 거래의 비용 효율을 개선한다.