This page has only limited features, please log in for full access.
Precision medicine has received a lot of attention in recent years and we have not yet found any research cases that apply Data Envelopment Analysis (DEA) to investment decision making in this area. The purpose of this study is to analyze the relative efficiency of candidate technology sectors in order to determine priorities for government investment in precision medicine. The results of the efficiency analysis can be used as an important reference for government policy makers to determine the amount of government investment in the next year for each candidate technology sector. The candidate technology for government investment in precision medicine was decided for 23 sectors based on the data analysis and the opinions of expert committees. This study applies the input-oriented DEA in regard to 23 technology sectors, which is widely used to analyze relative efficiency in terms of inputs versus outputs and to enhance efficiency through the propositional reduction of inputs. The input variables include the government’s research and development (R&D) investment and forward and backward industry linkage effects. The output variables are the employment creation effect, value-added effect, number of Korean patents, and number of Korean papers. Our analysis results show that the 23 technology sectors in precision medicine overall have a high efficiency, with the exception of the biobank technology sector. Therefore, since the Biobank technology sector has strong infrastructure characteristics, it seems to require continuous investment. The efficiency of DEA is high in most precision medicine sectors; therefore, overall, investing in these technologies is expected to yield good benefits.
Bangrae Lee; Eunsoo Sohn; Dongkyu Won; Woondong Yeo; KwangHoon Kim; Sanggook Kim. The Efficiency Analysis of National R&D Planning for the Field of Precision Medicine in Korea. Journal of Open Innovation: Technology, Market, and Complexity 2018, 4, 39 .
AMA StyleBangrae Lee, Eunsoo Sohn, Dongkyu Won, Woondong Yeo, KwangHoon Kim, Sanggook Kim. The Efficiency Analysis of National R&D Planning for the Field of Precision Medicine in Korea. Journal of Open Innovation: Technology, Market, and Complexity. 2018; 4 (3):39.
Chicago/Turabian StyleBangrae Lee; Eunsoo Sohn; Dongkyu Won; Woondong Yeo; KwangHoon Kim; Sanggook Kim. 2018. "The Efficiency Analysis of National R&D Planning for the Field of Precision Medicine in Korea." Journal of Open Innovation: Technology, Market, and Complexity 4, no. 3: 39.
Lee-Nam Kwon; Jun-Hwan Park; Yeong-Ho Moon; Bang-Rae Lee. An Analysis of Growth Engine Industries using the ORBIS DB. Asian Journal of Innovation and Policy 2016, 5, 275 -292.
AMA StyleLee-Nam Kwon, Jun-Hwan Park, Yeong-Ho Moon, Bang-Rae Lee. An Analysis of Growth Engine Industries using the ORBIS DB. Asian Journal of Innovation and Policy. 2016; 5 (3):275-292.
Chicago/Turabian StyleLee-Nam Kwon; Jun-Hwan Park; Yeong-Ho Moon; Bang-Rae Lee. 2016. "An Analysis of Growth Engine Industries using the ORBIS DB." Asian Journal of Innovation and Policy 5, no. 3: 275-292.
Global competition has increased the importance of patents as a means to protect and strengthen technology and competitiveness. The purposes of our study were to identify what industries in South Korea are strong or weak in terms of patent applications and to identify some strategies to enable weak industries to become strong. For this, we gathered statistics on seven variables as follows: number of businesses, number of employees, research and development investment, number of full-time equivalent researchers, number of research institutions, domestic market size, and number of patent applications. Especially, to compare the ratio of patent applications and the ratio of domestic market size across industries, the industries were classified into the following three categories: strong-, weak-, and no-patent. Furthermore, data envelopment analysis (DEA) suggested some strategies to strengthen patent applications for each industry. In the DEA analysis, the number of patent applications was used as the output variable and the other six variables were used as input variables. Our study will particularly assist industries where protection by patents is an important aspect of their businesses.
Bangrae Lee; Dongkyu Won; Jun-Hwan Park; LeenaM Kwon; Young-Ho Moon; Han-Joon Kim. Patent-Enhancing Strategies by Industry in Korea Using a Data Envelopment Analysis. Sustainability 2016, 8, 901 .
AMA StyleBangrae Lee, Dongkyu Won, Jun-Hwan Park, LeenaM Kwon, Young-Ho Moon, Han-Joon Kim. Patent-Enhancing Strategies by Industry in Korea Using a Data Envelopment Analysis. Sustainability. 2016; 8 (9):901.
Chicago/Turabian StyleBangrae Lee; Dongkyu Won; Jun-Hwan Park; LeenaM Kwon; Young-Ho Moon; Han-Joon Kim. 2016. "Patent-Enhancing Strategies by Industry in Korea Using a Data Envelopment Analysis." Sustainability 8, no. 9: 901.
Yong-Il Jeong; Bang-Rae Lee; Si-Hyung Joo; Dong-Kyu Won; Young-Moon Bay. A Study on the Regional Speciality of the S&T Outcomes in Korea. Journal of Information Management 2007, 38, 121 -139.
AMA StyleYong-Il Jeong, Bang-Rae Lee, Si-Hyung Joo, Dong-Kyu Won, Young-Moon Bay. A Study on the Regional Speciality of the S&T Outcomes in Korea. Journal of Information Management. 2007; 38 (1):121-139.
Chicago/Turabian StyleYong-Il Jeong; Bang-Rae Lee; Si-Hyung Joo; Dong-Kyu Won; Young-Moon Bay. 2007. "A Study on the Regional Speciality of the S&T Outcomes in Korea." Journal of Information Management 38, no. 1: 121-139.