• 수산경영론집
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• 제14권1호
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• pp.44-56
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• 1983

This study is attempted to serve the fundamental theory for ‘The reorganization of Korean coastal and adjacent water fishery.’ On the Korean coastal and adjacent water fishery where one species stock is catched by multiple fisheries, traditional analysis is not suitable, as analyzing through adjusting the heterogeneous fishing effort among the fisheries to an unit having same fishing strength. Therefore, this study presents the ‘Multi-Variable Model’, adopting fishing effort from each fishery as independent variable, respectively, in order to analyze the quantitative fluctuation of fishery resource not with fishing strength but with amount of fishing effort, measured by the unit of each fishery. For the sake of simplication, this study assumes that one species is catched by two fishery, premise two assumption. 1) Every fishery has not the selectivity in fishing 2) The promotion of fishing efficiency is accomplished in the same speed. Resource equilibrium equation of each fishery is; $$CPUE_1=\frac{Y_1}{E_1}=a_1+ b_1\cdot E_1+c_1\cdot E_1$$ $$CPUE_1=\frac{Y_1}{E_1}=a_1+ b_1\cdot E_1+c_1\cdot E_1$$ Sustainable yield equation is; $$SY_1=a_1\cdot E_1+\cdot b_1E{_1}{^2}+c_1\cdot E_1\cdot E_1$$ $$SY_1=a_1\cdot E_1+b_1\cdot E_1\cdot E_1+c_1\cdot E{_1}{^2}$$ This study is rudimentary, hereafter, refinemental analysis will be supplemented.

• 한국산업정보학회:학술대회논문집
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• 한국산업정보학회 2007년도 춘계학술대회
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• pp.213-223
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• 2007

E-Business Platform for SMEs in GMS Countries(GMSEB) is a E-business service portal which based on Yunnan, face to ASEAN, connect with China's mainland. lt is established by Kunming Dongxun Sic&Tech Co.,Ltd and E-Business Centre of Yunnan University of Financial & Economics, who get supports from UNESCAP, Science and Technology Department of Yunnan Provincial and Yunnan SMEs Bureau. The portal will bulid a B2B & B2C E-business and. ASP portal to provide service of e-business and enterprise management informatization according with the different languages and situation to China and GMS countries. The paper starts with analysis of the policy in China of promoting GMS cooperation and exchanges, importance of Yunnan and cultural universality in GMS countries. It expounds the necessity of establishing such a regional e-commerce platform. The project explores how to develop the model of e-business and enterprise management informationization for SMEs under the condition of weak economic strength and scarcity of Information Technology talents. To promote the SMEs in GMS countries participate in the integration with the global economy through the international SMEs'E-business Platform, make a fairly rapid progress by full play to its advantages.

• 대한산업공학회지
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• 제43권1호
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• pp.72-82
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• 2017

Sharing economy is expected to grow high with the notable development of Internet technology. Despite this importance, however, existing studies so far have addressed the consumers for the services of sharing economy in limited perspectives and have not properly considered the recent advent of technology. Especially, car sharing service is one of the cases that have been changed rapidly with growth of the Internet technology. In this sense, the present study focuses on car sharing service and analyzes the effects of its service factors on consumers' attitude and intention to use. In addition, we examine differences in such effects between two types of services, business to customer (B2C) and customer to customer (C2C). Based on the analysis results, we discuss the guidelines for successful development of services in sharing economy.

• 무역학회지
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• 제45권1호
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• pp.241-257
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• 2020

Globally, Fintech, which acts to replace existing intranational payment methods, is actively used, and such Fintech payments are widely accepted in international B2C trade. However, Fintech for B2B trade has not been released to the market thus far, and previous attempts at electronic international payment systems, such as Bolero, TradeCard, and Identrus, have not succeeded, and most of them have completely disappeared. On the other hand, there are continuing attempts to introduce Fintech technologies such as blockchain to international payments, and these attempts are more widely pursued in foreign countries. If international payments using Fintech are marketed through foreign services and such Fintech services become the de-facto standard for international payments, then Korea in which dependency on international trade is high will be vulnerable due to a dependency on foreign services such as relying on foreign SNS platforms like Facebook and Instagram. Therefore, this paper proposes a business model that can be used as a legitimate B2B trade international payment system on the basis of domestically provided services, focusing on various services afforded by K-SURE, which is the Korea Trade Insurance Corporation.

• 해양환경안전학회지
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• 제29권3호
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• pp.288-295
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• 2023

The purpose of this study is to evaluate the feasibility of the new marine leisure ships. In order to achieve the research purpose, the cost and income were calculated based on the operating of other marine leisure ships, and the feasibility of the project was empirically analyzed. This study established a research model that applies the values derived by empirically analyzing ships with similar specifications, to the new marine leisure ships. We then calculated the cost-benefit analysis, net present value, and internal return, and evaluated the feasibility of the project based on this. As a result of the business feasibility analysis of investing in marine leisure ship, it was found that economic feasibility exists with a B/C of 1.042 and 1.049 for new and secondhand ships, respectively; however, considering the stability of the ship and the publicity and continuity of the business operation, it is recommended to invest in new ships compared to secondhand ships. The total benefit over the 10-year operating period using a social discount rate of 4.5% was evaluated to be about KRW 292.0 billion, which is higher than the total cost of KRW 256.6 billion. In conclusion, the profitability analysis showed that the B/C was 1.042, the NPV was KRW 193 billion, and the IRR was 2.1%, which indicates that profitability is weakly secured.

• 통상정보연구
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• 제16권5호
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• pp.319-342
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• 2014

세계 경제가 글로벌화가 가속화되고 국내 기업도 해외 시장에 진출하는 한편, 해외 글로벌 기업 또한 한국시장에 진출하여 성과를 보이고 있다. 이러한 한국 진출 기업이 한국시장에서 신속하게 성과를 보이는데 있어서 기술적 역량 요인, 마케팅 역량 요인, 그리고 해외 네트워크 요인이 신속한 글로벌 성과에 어떠한 영향을 미치는지를 파악하고자 하였다. 또한 기업 유형에 따라 영향 관계가 있는지를 규명하는데 있다. 연구 목적을 달성하기 위하여 가설을 설정하고 이를 검증하기 위하여 구조방정식과 회귀분석을 활용하였으며 주요 결과는 다음과 같다. 첫째, 기술적 요인 중 기술적 혁신성과 제품 차별성은 신속한 글로벌화에 통계적으로 유의미하게 긍정적인 영향을 미치고 있어, 신속한 글로벌화에 매우 중요한 선행요인으로 해석된다. 둘째, 마케팅 요인 중 마케팅 지식획득과 브랜드 명성 또한 통계적으로 유의미하게 긍정적인 영향을 미치고 있어, 또한 신속한 글로벌 성과에 중요한 요인임을 알 수 있었다. 셋째, 한국 시장 내 네트워크 범위와 해외 네트워크 강도 또한 모두 통계적으로 유의미하게 영향을 미치고 있어, 해외 네트워크 요인은 신속하게 글로벌 성과에 매우 중요한 요인임을 밝히고 있다. 한편, 해외 자회사 기업 유형(B2C, B2B) 조절변수 효과에 대한 가설 검증으로 회귀분석을 통한 분석 결과, B2C 해외 자회사 기업이 B2B 해외 자회사 기업보다 본 연구모형에서는 설명력이 31.9% 증가를 보였다. 또한 B2C 해외 자회사의 경우 마케팅 역량이, B2B 해외 자회사의 경우 상대적으로 기술적 역량 요인이 통계적으로 유의미하게 차이가 보였다. 따라서 기업유형이 기술적, 마케팅 역량 요인 그리고 네트워크 요인이 신속한 글로벌화에 영향을 주는데 조절효과가 있음을 알 수 있었다. 결론적으로 본 연구를 통하여 실무적 측면에서는 우선 기업의 신속한 글로벌 성과를 높이기 위해서는 선행 요인 중 마케팅 요인과 기술적 요인, 한국 시장 네트워크 등은 중요한 선행 요인임을 확인하였으며, 한편 학문적으로 본 연구 결과는 기업이 신속하게 해외로 진출하는 영향요인을 체계적으로 심층 연구에 기여하였다라고 여긴다.

• International Journal of Computer Science & Network Security
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• 제21권4호
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• pp.214-222
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• 2021

Recently, the growth of e-commerce in Saudi Arabia has been exponential, bringing new remarkable challenges. A naive approach for product matching and categorization is needed to help consumers choose the right store to purchase a product. This paper presents a machine learning approach for product matching that combines deep learning techniques with standard artificial neural networks (ANNs). Existing methods focused on product matching, whereas our model compares products based on unstructured descriptions. We evaluated our electronics dataset model from three business-to-consumer (B2C) online stores by putting the match products collectively in one dataset. The performance evaluation based on k-mean classifier prediction from three real-world online stores demonstrates that the proposed algorithm outperforms the benchmarked approach by 80% on average F1-measure.

• 한국과학예술포럼
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• 제23권
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• pp.111-122
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• 2016

본 연구의 배경 및 목적은 다음과 같다. 미술관에서 생성되는 미술 콘텐츠 생명주기 전반에 걸친 저작권 서비스 연구개발의 필요성과 창조산업에서 이미지저작권 콘텐츠 유통시장 활성화와 저작권 서비스 관리체계 수립의 필요성에 의해, 이미지저작권 보호 및 이용 활성화를 위한 미술관 이미지저작권 아카이브 모델을 설정하기 위해 다학제적으로 진행된 융복합 연구이다. 본 연구의 연구방법 및 내용, 결과는 다음과 같다. 국내 1,000여개의 뮤지엄(박물관, 미술관, 전시관 등)의 저작권료에 대한 산정, 분배, 정산, 모니터링에 대한 기준체계를 제안하여 이미지 저작물의 이용 활성화 및 재활용을 통한 미술콘텐츠 생태계 투명화 및 효율성 향상화를 위해서 다양한 제안이 이루어졌다. 우선, 이미지저작권 아카이브 모델의 내용설계 및 구조설계를 제안하였으며, 프로토타입 시뮬레이션, 실현 시뮬레이션, 모델 가동 시뮬레이션을 위하여, 미술관 미술콘텐츠 유통 서비스 플랫폼을 제안하여, 미술 콘텐츠 저작권료 프로세스 모델을 설정하였다. 미술관 소장품 및 미술작품 유통 과금 기술 개발과 저작권 자동분배 및 정산 엔진 개발은 이미지 콘텐츠에 대한 과금 체계 및 기술 개발이 미약하기 때문에 기본 프레임워크는 기존 콘텐츠 과금 프레임워크를 모델로 사용하였다. 궁극적으로는 미술작가, 미술관 학예사, 유통업체 등이 사용가능한 이미지저작권 아카이브 모델을 제안하였다. 사업화 전략에서는 미술관 이미지저작권 아카이브 모델의 틈새시장 침투전략(Niche penetration strategy)을 제안하였다. 판매확대 전략에서는 미술관 아카이브 시스템의 유동적 연결을 통하여, B2B, B2G, B2C, C2B 형태의 이미지 거래를 효율적으로 진행되게 하며, 이미지 저작물의 관리가 통제 가능한 비즈니스 모델이 수립되었다. 향후 혹은 앞으로의 과제는 미술관에서 소장하고 있는 소장품 및 신규 창작 작품의 미술 콘텐츠 분쟁 예방 및 유통 및 활용에 대한 정보 제공을 통해, 미술작품에 대한 이미지저작권자와 소유자간의 분쟁 등을 최소화하고, 미술품 저작물의 관리성이 향상될 것으로 기대된다. 또한 미술관의 소장품 및 신규작품에 대한 아카이브에 대한 가이드라인이 제공되어, 이미지저작권 등록 증대가 예상되며, 이미지저작권 유통 서비스에 대한 저작권료, 과금, 분배, 정산 등 다양한 융합적 비즈니스 활용이 가능해 질 것이다.

• 한국벤처창업학회:학술대회논문집
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• 한국벤처창업학회 2021년도 춘계학술대회
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• pp.33-42
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• 2021

Based on the findings of Lee et al.(2020) and Lee & Oh(2021), this paper aims to fill the gap in our knowledge regarding the relationship between strategic choices and corporate growth by utilizing a novel dataset of 'Unicorn' and 'Hyper-growing' companies. Two previous studies provide coherent findings that the relationship between firms' strategies and their performance should be explored under a more comprehensive framework with consideration of both internal and external factors. Therefore, in this study, we apply a single conceptual framework to two different datasets, which considers the strategy factors as independent variables, and the industry(market) and the firm age as moderating variables. For our dependent variables, valuations for unicorn companies and revenue CAGR for hyper-growing companies are used after categorizing them into three uniform groups. The strategy variables include 'Generic (Cost-leadership, Differentiation, focus) strategies', 'Growth(Organic, M&A) strategies', 'Leading(Pioneer, Fast-follower) strategies', 'Target market(B2B, B2C, B2G, C2C) strategies', 'Global(Global, Local) strategies', 'Digital(Online, Offline) strategies.' For industry(market) factors, it consists of historical growth rate for industries and economic, demographic, and regulatory aspects of states and countries. To overcome the differences in their units, they are also uniformly categorized into multiple groups. Before we conduct a regression analysis, we analyze the industry distribution of the 'Unicorn' and the 'Hyper-growing' companies with descriptive statistics at the integrated and individual levels. Next, we employ hierarchical regression models on Study A('Unicorn' companies in 2019) and Study B('Hyper-growing' companies in 2019) under the same comprehensive framework. We then analyze the relationship between the 'strategy' and the 'performance' factors with two different approaches: 1) an integrated regression model with both the sample of Study A and B and 2) respective regression models on Study A and B. This empirical study aims to provide a complete understanding and a reference to which strategy factors should be considered to promote firms' scale-up and growth.

• The Journal of Asian Finance, Economics and Business
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• 제7권9호
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• pp.351-362
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• 2020

This research investigates the credit management guidelines to strengthen Thai industrial sector. The research has been simulated from the findings of both qualitative and quantitative of 500 questionnaires distributed to industrial business executives in Thailand. The data were analyzed by descriptive analysis categorized into SME and large enterprises, and SEM to conduct the model in consistent with the empirical data. The results show that: (1) the credit management guidelines consist of 4 factors: a) characteristics management b) financial management c) operations management and d) assets management. The business executives gave overall importance on the guidelines at a high level with an average of 3.86. (2) The development of SEM shows that the model fits with the empirical data at Chi-Square probability level = 0.084, CMIN/DF = 1.164, GFI = 0.965 and RMSEA = 0.018. (3) The characteristics management directly influences the financial management and the operation management. The financial management directly influences on the assets management. The assets management has direct influence on the operations management. The findings show that the characteristics management is the essential starting component in SEM and the financial management factor has the most influence in the assets management variable with standard regression weight of 0.990.