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창업 단계의 기업가정신 제고 방안: 효율성 분석 방법론을 중심으로
오동현 ( Dong Hyun Oh ),이윤준 ( Yoon Jun Lee ),이아정 ( Ah Jung Lee ) 한국생산성학회 2015 生産性論集 Vol.29 No.1
The goal of this study is to develop policy suggestions in order to increase the efficiency of entrepreneurship. First, regression analysis is carried out to examine how input variables affect output in each phase of startup development. Then, data envelopment analysis(DEA) estimates efficiency in each development process in 26 countries and identifies where South Korea locates herself in terms of entrepreneurial efficiency. The empirical results in the regression analysis implies the following. First, in terms of entrepreneur, more young people should become self-employed to achieve business opportunities in the market. Second, in terms of regulatory environment, government programmes should be diversified and differentiated in order to meet the various needs of startup companies. Third, in terms of market, startups should be tenacious, equipped with global competencies to survive. Fourth, in terms of financial support, it should be easier for startups to enter into market with accessible unsecured loans. Fifth, in terms of knowledge infrastructure, it is critical to encourage substantial investments on R&D. Sixth, in terms of education/training, vocational and lifelong education/training produces more effective result than the one at universities. Last, in terms of cultural environment, society needs to show more respects to entrepreneurs, and media should pay more attention to their entrepreneurship. DEA addresses benchmark countries for South Korea to improve efficiency in each stage of development phases. While the efficiency of Korean startups is above average in the phase of pre-startup, early-stage startup, and growth, it is far below average in the phase of failure/recovery. Among the entrepreneurship in benchmark countries on the efficiency frontier, it is highly suggested that the one in China should be extensively analysed to carry implications to Korea.
오동현(DongHyeon Oh),최재승(JaeSeung Choi),차상길(SangKil Cha) 한국정보보호학회 2020 정보보호학회논문지 Vol.30 No.4
퍼징은 입력값을 무작위로 생성해 소프트웨어를 테스팅하는 방법으로, 처음 고안된 이래로 다양한 방식의 퍼징이 연구되고 있다. 그중 변이기법을 적용한 퍼징은 확률에 따른 비트 반전이나 특별 값 치환과 같이 비교적 간단한 접근법을 사용함에도, 많은 버그를 발견해온 만큼 효율적인 방법이라고 할 수 있다. 하지만 인터프리터는 문법, 시맨틱이 올바른 입력값을 요구하기 때문에 일반적인 변이기법을 적용하기에는 어려움이 있다. 이에 본 연구에서는 동적 데이터 흐름 분석을 통해 변이기법을 인터프리터 퍼징에 적용할 수 있는 방법에 대해 제시하고자 한다. 본 연구에서 제시하는 JMFuzzer는 문법, 시맨틱의 올바름을 고려해 자바스크립트 인터프리터에서 오류 없이 정상적으로 동작하는 다양한 유형의 테스트케이스를 생성할 수 있다. 최종적으로 본 연구에서는 최신 버전의 자바스크립트 인터프리터에서 알려지지 않은 취약점들을 찾았으며, 이를 각 회사에 제보했다. Fuzzing is a method of testing software by randomly generating test cases. Since its introduction, a variety of fuzzing techniques have been studied. Among them, mutation-based fuzzing is an efficient method that finds real-world bugs even though it uses a simple approach such as probabilistic bit-flipping and character substitution. However, the interpreter fuzzing has difficulty in applying general mutation techniques because the interpreter requires grammar and semantic correctness input values. In this paper, we present a novel mutation-based fuzzing on JavaScript interpreters with a dynamic data flow analysis. To this end, we implement JMFuzzer that can generate various types of mutated test cases that operate normally without runtime errors in JavaScript interpreter considering syntax and semantics. As a result, we found numerous unknown vulnerabilities in the latest JavaScript interpreters. We reported all of them to the vendors.
OECD 회원국의 녹색생산성 비교분석을 통한 녹색정책경로 모색
오동현 ( Dong Hyun Oh ),정기철 ( Gi Cheol Jeong ) 한국생산성학회 2012 生産性論集 Vol.26 No.2
The green policies have actively been paid attention to as the green growth is one of global issues from the economic and environmental perspectives. This paper analyzes the green productivity growth index for the OECD countries over the period 1991-2009 in order to explore the trajectory of the green policy, aiming at effective policy implication. We used the macroeconomic and CO2 emissions indicators for the empirical investigation. We also decomposed the green productivity growth index into efficiency change and technical change indexes. The empirical results tell us that i) in a short term Korea needs to focus on catching up with the Northern European countries, and ii) in a long term she needs to spur the green innovation. We believe that this research is helpful for the policy makers to develope policies about the green growth.