The Efficiency Analysis of National R&amp;D Planning for the Field of Precision Medicine in Korea

Lee, BangRae; Sohn, EunSoo; Won, Dongkyu; Yeo, Woon-Dong; Kim, KwangHoon; Kim, Sanggook

doi:10.3390/joitmc4030039

Cited by 5 publications

(4 citation statements)

References 33 publications

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“…Various research has been conducted in the fields of ICT and R&D to measure relative efficiency. Beccheti et al [68] conducted research on investment, productivity, and efficiency regarding ICT, and Lee et al [69] performed efficiency analyses to obtain objective evidence concerning R&D investment. This suggests that decision makers provide clear justification and quickness for policymaking and resolve conflicts easily that may occur during the policy enforcement process, in addition to the need to consider the possibility of creating new industries or economic effects.…”

Section: Data Envelopement Analysismentioning

confidence: 99%

An Efficiency Measurement of E-Government Performance for Network Readiness: Non-Parametric Frontier Approach

Nam

et al. 2022

Journal of Open Innovation: Technology, Market, and Complexity

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Information and Communications Technology (ICT) network readiness competency improves service quality and provides efficient service in implementing successful e-governments. By confirming ICT network readiness of e-governments, it must be redesigned using limited resources effectively to achieve realistic goals. When ICT investment and economic performance are featured, e-government’s network readiness competency improves potential demand, supply, and service maturity. It reflects information technology (IT) development competency on performance effectively. In this study, we propose the Data Envelope Analysis (DEA) method to present a method of improving ICT network readiness between countries. We derived the ICT network’s readiness competency level and strategic plan by comparing each country for efficient ICT operation of e-governments. If we make rankings in a non-traditional and efficient manner, it will become a successful strategy for ICT in the future. This effort provides guidance for each government and a solution for the growth delay problem, which is required for advancement in ICT investment and productivity. It also guides each government to overcome marginal products.

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Section: Data Envelopement Analysismentioning

confidence: 99%

An Efficiency Measurement of E-Government Performance for Network Readiness: Non-Parametric Frontier Approach

Nam

et al. 2022

Journal of Open Innovation: Technology, Market, and Complexity

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“…BangRae Lee, EunSoo Sohn, DongKyu Won, and WoonDong Yeo [9] analyzed the R&D investment efficiency of 23 industries in the field of precision medicine in South Korea. ey found that investment in these technologies can produce good benefits.…”

Section: Literature Reviewmentioning

confidence: 99%

Efficiency of Two-Stage Technological Innovation in High Patent-Intensive Industries That Considers Time Lag: Research Based on the SBM-NDEA Model

Zou

Chen

Peng

et al. 2020

Mathematical Problems in Engineering

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Considering time lag and accumulation of inputs and outputs, this paper adopts the superefficiency data envelopment analysis (DEA) model to study the technological innovation efficiency of high patent-intensive industries using panel data from 2007 to 2017. Given the characteristics and the actual circumstances of the industries, the innovation process is divided into two stages, and an input-output indicator system is established. The results show that the overall innovation efficiency level of high patent-intensive industries in China is increasing. However, the R&D achievements in technology are not quickly applied or sufficiently transformed.

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“…Jang [5] develops and applies a national R&D budget allocation model based on machine learning and optimization theory. Lee et al [6] use a data envelopment analysis (DEA) to analyze the relative efficiency of investment in the field of precision medicine. In addition, Kim et al [7] analyze the effect on investment performance of R&D actors, development levels, and periods, using technology transfer and diffusion as their performance measure for national R&D investment.…”

Section: Introductionmentioning

confidence: 99%

Integrating quantitative and qualitative methodologies to build a national R&D plan using data envelopment analysis based on R&D stakeholders’ perspectives

Park

Kim

2022

PLoS ONE

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The yearly increase in government R&D investment and top-down national R&D investment allocation requires a more quantitative decision-making system that maximizes R&D performance and efficient budget allocation. Sound decision-making is necessary at both the selection stage and the pursuit stage in order to maximize limited national R&D resources. We study Korean smart farms as an example to examine national R&D investment from the various R&D actors (academia, industry, and research institutes) perspectives. The objective of our research is to evaluate the theoretical efficiency of R&D investment on specific technologies in smart farms and compare the results with expert opinions where the reality is reflected. To be specific, our study is to provide the quantitative approach in making decision among policymakers by reflecting the field experiences and opinions. We use a data envelopment analysis with an assurance region model, which integrates an analytic hierarchy process and a data envelopment analysis. The weights of output in DEA model by the R&D actors are similar to the overall weight by all actors, implying that investment allocation decisions in the smart farm sector are not significantly affected by the R&D actors. We realized that the relative efficiency of some R&D technologies increases after reflecting qualitative ideas of experts. In reality, it is necessary to invest in these technology groups, but they excluded from top-down decision-making. This also shows that a government’s top-down decision-making can distort its investment allocation. This study proposes a new approach to compensate for the difference between theoretical virtual prices and actual prices in data envelopment analysis. In particular, when comparing the only quantitative results on investment priorities with analysis results by additionally reflecting the opinions of experts in each sector, we found that the Korean government’s investment priorities in the smart farm field are considerably distorted. Therefore, this study is expected to be used as an alternative for policy makers to compensate for the quantitative distortion might be caused by top-down national R&D investment decisions.

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The Efficiency Analysis of National R&D Planning for the Field of Precision Medicine in Korea

Cited by 5 publications

References 33 publications

An Efficiency Measurement of E-Government Performance for Network Readiness: Non-Parametric Frontier Approach

An Efficiency Measurement of E-Government Performance for Network Readiness: Non-Parametric Frontier Approach

Efficiency of Two-Stage Technological Innovation in High Patent-Intensive Industries That Considers Time Lag: Research Based on the SBM-NDEA Model

Integrating quantitative and qualitative methodologies to build a national R&D plan using data envelopment analysis based on R&D stakeholders’ perspectives

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