As the uncertainty of technology development and market needs increases due to changes in the global business environment, the interest and demand for R&D activities of individual companies are increasing. To respond to these environmental changes, technology commercialization players are paying great attention to enhancing the qualitative competitiveness of R&D. In particular, R&D companies in the marine and fishery sector face many difficulties compared to other industries. For example, the R&D environment is barren, it is challenging to secure R&D human resources, and it is facing a somewhat more difficult environment compared to other sectors, such as the difficulty in maintaining R&D continuity due to the turnover rate of researchers. In this study, based on the empirical data and patent status of private companies closely related to the R&D technology status, big data analysis, and simulation analysis methods were used to identify the relative position of individual companies' R&D capabilities and industrial perspectives. In this study, based on industrial evidence and patent applications closely related to the R&D technology status, the R&D capabilities of individual companies were evaluated using extensive data analysis and simulation analysis methods, and a statistical test was performed to analyze if there were differences in capabilities from an industrial point of view. At this time, the industries to be analyzed were based on all sectors, the maritime industry, the fisheries industry, and the maritime industry integration sector. In conclusion, it was analyzed that there was a certain level of difference in the R&D capabilities of individual companies in each industry sector, Therefore when developing a future R&D capability system, it was confirmed that it was necessary to separate the population for each industry and establish a strategy.

1. 서 론
2. 선행연구
3. 연구 방법론
    3.1 연구방법론 설계
    3.1 연구개발역량 평가지표 구성
    3.2 연구개발역량 평가지표별 데이터 구성
    3.3 평가지표별 데이터 특성
    3.4 평가지표별 모수(parameter) 특성 분석
    3.5 연구개발역량 종합점수의 확률분포 추정
4. 연구개발역량 비교분석
    4.1 관측치 기반 분산분석(ANOVA)
    4.2 적합 확률변수 기반 분산분석(ANOVA)
4.3 Result
5. 결 론
References

• Sang-Gook Kim(한국과학기술정보연구원 R&D혁신전략팀) | 김상국 Corresponding Author
• Boong Kee Choi(한국과학기술정보연구원 R&D혁신전략팀) | 최붕기