• 한국경영과학회지
• /
• 제37권4호
• /
• pp.37-50
• /
• 2012

The existing DEA models have been devoted to evaluate relative efficiency of DMUs based on multiple input and output factors of a same period. However, a certain kind of lead time can be required to produce outputs using inputs in an organization. R&D evaluation is a typical area with this kinds of time lag. Thus, the purpose of this paper is to develop a new DEA model to deal with time lag effect in performance evaluation. The proposed model is to find relative efficiency of each DMU for each period considering the time lag effect. A case example using a real data set is also given to show the usage or implication of the suggested model. The results are compared with the ones of the CCR model and the multi-periods input model.

• 기술혁신연구
• /
• 제7권1호
• /
• pp.176-186
• /
• 1999

This paper starts out by reviewing the literature that in different ways utilizes patent data as an output of Research ＆ Development (R&D) investment. The main focus, however, is an analysis of time-lag between industrial R&D input and its output. To achieve this research's purpose, the basic data associated with the industrial R&D input (expenditure, researchers) and output (applied patent and utilities) for the past 15 years, from 1980 to 1994, in the areas of electrical-electronic, mechanical and chemical industries have been collected. And the raw input data were altered into real flow data (but stock data) using Laspeyres approach and analyzed using multiple regression analysis, especially stepwise regression analysis. The result of this study can be summarized as follows: a) The time-lag; between industrial R&D input and its output is within 1 to 3 years. b) The time-lag: of patents was longer than that of utility models. c) The time-lag: in electrical-electronic, chemical industry was longer than that of the mechanical industry.

• 기술혁신학회지
• /
• 제19권4호
• /
• pp.687-710
• /
• 2016

본 연구의 목적은 국가연구개발사업을 대상으로 각 연구단계별 연구개발 지출과 논문 성과 간의 시차구조를 분석하는 것이다. 이에 본 연구는 6T(IT, BT, NT, ST, ET, CT) 기술로 범주화 된 104개 기술의 횡단면 자료와 2007년부터 2014년까지의 시계열로 구성된 패널자료를 분석 자료로서 활용하였으며, 일반적인 시차분포모형을 통해 회귀분석을 실시할 경우 다중공선성이 내포된 분석결과가 도출될 가능성이 크기 때문에 다항시차분포모형을 통해 시차효과를 분석하였다. 그 결과 기초연구의 경우 4년 간 비교적 고른 분포를 보이는 것으로 나타났고, 응용연구와 개발연구의 경우 각각 3년, 2년간 투자효과가 유효한 것으로 확인되었다. 이러한 결과로 보건대, 국가연구개발사업의 논문 성과를 진단함에 있어 각 연구개발단계별 시차적 특성을 감안한 분석 및 평가가 신중하게 고려될 필요가 있을 것이다.

• 산업경영시스템학회지
• /
• 제42권3호
• /
• pp.8-14
• /
• 2019

Most of the data envelopment analysis (DEA) models evaluate the relative efficiency of a decision making unit (DMU) based on the assumption that inputs in a specific period are consumed to produce the output in the same period of time. However, there may be some time lag between the consumption of input resources and the production of outputs. A few models to handle the concept of the time lag effect have been proposed. This paper suggests a new multi-period input DEA model considering the consistent time lag effects. Consistency of time lag effect means that the time delay for the same input factor or output factor are consistent throughout the periods. It is more realistic than the time lag effect for the same output or input factor can vary over the periods. The suggested model is an output-oriented model in order to adopt the consistent time lag effect. We analyze the results of the suggested model and the existing multi period input model with a sample data set from a long-term national research and development program in Korea. We show that the suggested model may have the better discrimination power than existing model while the ranking of DMUs is not different by two nonparametric tests.

• Water Engineering Research
• /
• 제2권4호
• /
• pp.219-229
• /
• 2001

Synthetic unit hydrograph equations for rainfall run-off characteristics analysis and estimation of design flood have long and quite frequently been presented, the Snyder and SCS synthetic unit hydrograph. The major inputs to the Snyder and SCS synthetic unit hydrograph are lag time and peak coefficient. In this study, the methods for estimating lag time and peak coefficient for small watersheds proposed by Zhao and McEnroe(1999) were applied to the Kum river basin in Korea. We investigated lag times of relatively small watersheds in the Kum river basin in Korea. For this investigation the recent rainfall and stream flow data for 10 relatively small watersheds with drainage areas ranging from 134 to 902 square kilometers were gathered and used. 250 flood flow events were identified along the way, and the lag time for the flood events was determined by using the rainfall and stream flow data. Lag time is closely related with the basin characteristics of a given drainage area such as channel length, channel slope, and drainage area. A regression analysis was conducted to relate lag time to the watershed characteristics. The resulting regression model is as shown below: ※ see full text (equations) In the model, Tlag is the lag time in hours, Lc is the length of the main river in kilometers and Se is the equivalent channel slope of the main channel. The coefficient of determinations (r$^2$)expressed in the regression equation is 0.846. The peak coefficient is not correlated significantly with any of the watershed characteristics. We recommend a peak coefficient of 0.60 as input to the Snyder unit-hydrograph model for the ungauged Kum river watersheds

• 한국해양학회지:바다
• /
• 제12권3호
• /
• pp.234-238
• /
• 2007

현재까지 우리나라에선 연구자마다 각기 다른 세 가지 조석지각 기준(관측지점 경도 기준 지각, 표준시 자오선 기준 지각, 그리니치 자오선 기준 지각)을 사용하여 오고 있다. 이처럼 통일되지 않는 조석지각 정보체계는 전체적인 우리나라 조석의 특성이나 변화를 이해하는데 장애가 되고 있다. 이 연구에서는 올바른 조석지각 기준의 상호전환과 관련하여, 세 가지 지각기준에 관하여 자세히 살펴보았다. 이에 앞서 조석 조화분해 과정에서 분조의 지각이 어떻게 계산되며, 조석예측프로그램에선 계산된 지각이 어떻게 사용되게 되는지 살펴보았다. 또한 이것을 바탕으로 과거 일부 연구에서 불명확하게 기술된 조석지각의 정의에 관하여 논의하였다.

• 지식경영연구
• /
• 제20권4호
• /
• pp.57-74
• /
• 2019

Self-driving technology is changing the paradigm of automotive industry. Since it is imperative to converge this emerging technology with ICT and there is a time lag between securing this emerging technology and occurrence of firm performance, it is difficult to make decisions on technology development. This study investigates patent indicators to understand the impact of self-driving technology on performance of automotive parts companies. We analyze 611 of self-driving technology patents from 2000 to 2016 and the financial performance of 270 small and medium businesses that register the corresponding patents with consideration of up to four years of time lag. Our analysis results show that patents related to self-driving has a positive impact on asset growth of 2 years and sales growth of 3 years in terms of time lag. This study contributes to the literature by analyzing the impact of technology development on the firm performance in case of convergence of the automotive and ICT industries. Additionally, this study provides a role of patent in knowledge management planning through technology development as a practical implication.

• 지식경영연구
• /
• 제20권1호
• /
• pp.27-43
• /
• 2019

This paper examines spillover effects of R&D investment in the ICT industry to other industries by analyzing panel data composed of 6 manufacturing industries for the period of 1983~2011. Major findings are as follows; (1) The increase of R&D investment in ICT industry has a significantly positive relationship with the increase in the value-added of the remaining 5 industries with 3~10 year lags, depending on the source of R&D funds and R&D stage. (2) More specifically, public R&D shows the spillover effects during 3~7-year lag periods, whereas private R&D started to exert spillover effects from 9-year lag. The result implies that the public R&D appropriately targets projects with more spillover effects. (3) Basic research, applied research, and development showed the spillover effects for the period of 9~10, 7~10, and 10-year lag, respectively. (4) The R&D investment in 5 other industries such as machinery, chemicals, and materials does not have positive spillover effects to the remaining industries. Few studies have been done to analyze the R&D spillover effects to other industries, with certain limitations. This study contributes to the existing literature by analyzing the spillover effects of the different R&D funds and R&D stages, and by considering various time-lag effects.

• 농촌지도와개발
• /
• 제2권1호
• /
• pp.1-21
• /
• 1995

This study examines the socioeconomic returns to agricultural research and extension services in Korea, using multivariate time series technique and Akino-Hyami formula. Results find that the socioeconomic returns are quite competitive in case of agricultural research with 44.82% internal rate of return and very high in case of extension services with 207.82% internal rate of return. Agricultural production responds to the agricultural research shock about four years after the shock. The magnitudes of the impacts increase until a peak is reached nine years after the initial expenditures and the impacts declines to a zero level after about twenty years. This lag lengths are consistent to the usual literature on research, which finds lags of seven to thirty years. Agricultural production responds to an agricultural extension shock immediately and declines to a zero level after about four years. Thus, the lag lengths are much shorter than those by research shock.

• 대한전기학회:학술대회논문집
• /
• 대한전기학회 1987년도 정기총회 및 창립40주년기념 학술대회 학회본부
• /
• pp.477-479
• /
• 1987

An understanding of dielectric breakdown characteristics in cryogenic liquids is of importance in the development of various cryogenic and superconducting electrical equipments. This investigation describes measurements of pulse breakdown voltage, polarity effect, conditioning effect and time lag characteristics of cryogenic liquids.