The purpose of this paper is to discuss possibilities of applying growth curve models, such as Logistic, Log-Logistic, Log-Normal, Gompertz and Weibull, to three specific technology areas of Fishery Science and Technology in the process of measuring their technology level between Korea and countries with the state-of-the art level. Technology areas of hazard control of organism, environment restoration, and fish cluster detect were selected for this study. Expert panel survey was conducted to construct relevant panel data for years of 2013, 2016, and a future time of approaching the theoretical maximum technology level. The size of data was 70, 70 and 40 respectively. First finding is that estimation of shape and location parameters of each model was statistically significant, and lack-of-fit test using estimated parameters was statistically rejected for each model, meaning all models were good enough to apply for measuring technology levels. Second, three models other than Pearl and Gompertz seemed very appropriate to apply despite the fact that previous case studies have used only Gompertz and Pearl. This study suggests that Weibull model would be a very valid candidate for the purpose. Third, fish cluster detect technology level is relatively higher for both Korea and a country with the stateof- the-art among three areas as of 2013. However, all three areas seem to be approaching their limits(highest technology level point) until 2020 for countries with the state-of-the-art. This implies that Korea might have to speed up her research activities in order to catch up them prior to 2020. Final suggestion is that future study may better apply various and more appropriate models respectively considering each technology characteristics and other factors.

기존연구에서는 선원들의 근무여건을 체계적으로 나누어 태도에 영향을 미치는 관계를 파악한 논문이 거의 없어 본 연구에서는 선원인력의 원활한 수급을 위하여 설문을 통하여 선원들의 근무여건(환경요인과 동기요인)이 만족을 매개로 이직의도에 미치는 영향을 분석하였으며 대형선망에 승선하고 있는 어선원들을 대상으로 설문을 실시하여 131부의 자료를 실증분석에 활용하였다. 실태분석결과, 임금 및 어로작업조건, 성장가능성과 참여감에 대한 만족이 상대적으로 낮으며 인간관