• Title/Summary/Keyword: R&D results management

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Analysis of Water Quality caused by Improvement of Sewage Treatment Plant in Masan Bay (하수처리장 개선이 마산만 수질에 미치는 영향분석)

  • Oh Hyun-Taik;Goo Jun-Ho;Park Sung-Eun;Choi Yun-Sun;Jung Rae-Hong;Choi Woo-Jeung;Lee Won-Chan;Park Jong-Soo
    • Journal of Environmental Science International
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    • v.14 no.8
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    • pp.777-783
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    • 2005
  • For the sustainable management of marine ecosystem in Masan Bay, we have to assess the carrying capacity and standard of target water quality. In this research, we assume that all pollutants loads are treated in Dukdong sewage treatment plant, then we simulate the physical-biological model for prediction water quality for the achievement of standard water quality. In 2001 year, for the achievement of COD 2.5 mg/L, we need to reduce COD $90\%$, nitrogen $30\%$, phosphate $90\%$ than that of the present value, According to these results, the water quality of sewage treatment plant is required to treat COD 13.5 mg/L, nitrogen 33.3 mg/L, phosphate 6,0 mg/L. If the sewage treatment plant will be expanded much larger in 2011, it will need to be treated in COD 6.6 mg/L, nitrogen 2.5 mg/L, phosphate 5 mg/L for the achievement of water quality standard in COD 2.5 mg/L.

The Effects of R&D Process Maturity on Product Development Performance: Focused on Mediating Effect of R&D Project Performance (R&D 프로세스 성숙도가 제품개발 성과에 미치는 영향: R&D 프로젝트 성과의 매개효과를 중심으로)

  • Shin, Kyung Sic;Oh, Min Jeong;Kim, Won Ki;Park, So Hyun
    • KIPS Transactions on Computer and Communication Systems
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    • v.7 no.7
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    • pp.165-174
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    • 2018
  • The purpose of this study is to verify the effects of R&D process maturity on product development performance and to verify whether R&D project performance mediating effect. The questionnaire was collected and analyzed to 131 persons related to the R&D work in 55 companies and public institutions performing R&D work. The results of this study are as follows, the effect of R&D process maturity on product development performance and mediating effect of R&D project performance were analyzed by simple and multiple regression analysis. Regression analysis was analyzed by SPSS statistical program. The higher the maturity level of the R&D process, the higher the product development performance and the R&D project performance, and the R&D project performance is partially mediated. It is concluded that it is important to establish and operate a systematic R&D process and to develop a project management methodology suitable for the characteristics of a company in order to improve product development performance. It is expected that if this study are utilized as practical R&D management methodology in corporate management, it will contribute to improvement of company product performance.

An Exploratory Research on Moderate Effect of Customization and R&D Strategy to Relationship between Quality Management Practices and Performances (품질경영 실행방식과 성과에 대한 customization 및 R&D 전략의 조절 효과에 대한 탐색적 연구)

  • Park, Jeong Soo;Chang, Deok Shin;Kim, Youn Sung;Lee, Dongwon
    • Journal of Korean Society for Quality Management
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    • v.41 no.4
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    • pp.611-621
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    • 2013
  • Purpose: The purpose of this study was to investigate if companies' efforts of quality management practices have positive impacts on the companies' performance as the first stage. In the second stage of this study, we tried to confirm if the degree of companies' making efforts on customization strategy and R&D strategy function as moderate variable on relationship between quality management practices and companies' performance. Methods: The collected data through survey were analysed using multiple regression for the first stage of the study and moderate regression for the second one of it. Results: The results of this study are as follows; quality management practices have positive effect on performances. Moreover, much effort on customization strategy has significant moderate effect on relationship between quality management practices and corporate performance. On the other hand, much effort of companies on R&D strategy has significant moderate effect on the relationship between the two as well. Conclusion: Manufacturing and services companies in Korea need to make effort of quality management practices in order to improve corporate performance. Moreover, if that efforts are combined with customization strategy and R&D strategy, they will expect synergy effect on performance improvement.

Optimal capital/labor ratio in R&D sector as a policy variable

  • 유평일;장영현
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 1995.09a
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    • pp.156-169
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    • 1995
  • The purpose of this paper is to investigate the role of government in innovation. That is, how much should government invest in R&D activity for social welfare enhancement. An optimal control problem is proposed to answer the above question. Because of difficulties in solving the problem, simulation utilized to find an approximate solution. All results obtained from the simulation are very similar. The investment in R&D activity increases and reaches its maximum and then decreases continuously. If the importance of technology grows the investment in R&D activity should be expanded.

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Study on Measures to Activate Technology Startup through National R&D Support Project

  • YUN, Jeong-Keun
    • The Journal of Economics, Marketing and Management
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    • v.8 no.4
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    • pp.1-12
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    • 2020
  • Purpose- The purpose of this study is to increase the effect of public technology transfer through government R&D support to secure the competitiveness of public technology startups. The government's R&D budget in 2019 is over 20 trillion won, and there is a legitimate need to increase the performance of technology startups through such R&D results. Research design, data, and methodology- In this paper, we comprehensively analyzed the current status of public research institutes and R&D support projects suitable for founders and analyzed and presented cases of follow-up research conducted by the Institute of Science and Technology Jobs to analyze actual performance cases of R&D support institutes. Results- In this conclusion, a developmental model of public technology entrepreneurship was proposed to increase the performance of public technology commercialization with the scalability of research institutions. In order to create a public technology information system between consumers and suppliers, a Steinweiss-type technology commercialization model for public technology commercialization, and a job-creating enterprise-type linkage R&D support business model were presented to create the results of R&D support organizations. Conclusions- Through the results of this study, it is meaningful to analyze the performance cases of technology commercialization of R&D support institutions, which have not been studied so far, to build competitiveness of research institutions and to present a growth model for the spread of technology startups. This study has implications in terms of suggesting a way to build competitiveness in technology commercialization between market demanders and suppliers by linking existing public technology startups, which deviated from the simple commercialization support system, with job creation by expanding the R&D support system.

A Study on the Characteristics of Enterprise R&D Capabilities Using Data Mining (데이터마이닝을 활용한 기업 R&D역량 특성에 관한 탐색 연구)

  • Kim, Sang-Gook;Lim, Jung-Sun;Park, Wan
    • Journal of Intelligence and Information Systems
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    • v.27 no.1
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    • pp.1-21
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    • 2021
  • As the global business environment changes, uncertainties in technology development and market needs increase, and competition among companies intensifies, interests and demands for R&D activities of individual companies are increasing. In order to cope with these environmental changes, R&D companies are strengthening R&D investment as one of the means to enhance the qualitative competitiveness of R&D while paying more attention to facility investment. As a result, facilities or R&D investment elements are inevitably a burden for R&D companies to bear future uncertainties. It is true that the management strategy of increasing investment in R&D as a means of enhancing R&D capability is highly uncertain in terms of corporate performance. In this study, the structural factors that influence the R&D capabilities of companies are explored in terms of technology management capabilities, R&D capabilities, and corporate classification attributes by utilizing data mining techniques, and the characteristics these individual factors present according to the level of R&D capabilities are analyzed. This study also showed cluster analysis and experimental results based on evidence data for all domestic R&D companies, and is expected to provide important implications for corporate management strategies to enhance R&D capabilities of individual companies. For each of the three viewpoints, detailed evaluation indexes were composed of 7, 2, and 4, respectively, to quantitatively measure individual levels in the corresponding area. In the case of technology management capability and R&D capability, the sub-item evaluation indexes that are being used by current domestic technology evaluation agencies were referenced, and the final detailed evaluation index was newly constructed in consideration of whether data could be obtained quantitatively. In the case of corporate classification attributes, the most basic corporate classification profile information is considered. In particular, in order to grasp the homogeneity of the R&D competency level, a comprehensive score for each company was given using detailed evaluation indicators of technology management capability and R&D capability, and the competency level was classified into five grades and compared with the cluster analysis results. In order to give the meaning according to the comparative evaluation between the analyzed cluster and the competency level grade, the clusters with high and low trends in R&D competency level were searched for each cluster. Afterwards, characteristics according to detailed evaluation indicators were analyzed in the cluster. Through this method of conducting research, two groups with high R&D competency and one with low level of R&D competency were analyzed, and the remaining two clusters were similar with almost high incidence. As a result, in this study, individual characteristics according to detailed evaluation indexes were analyzed for two clusters with high competency level and one cluster with low competency level. The implications of the results of this study are that the faster the replacement cycle of professional managers who can effectively respond to changes in technology and market demand, the more likely they will contribute to enhancing R&D capabilities. In the case of a private company, it is necessary to increase the intensity of input of R&D capabilities by enhancing the sense of belonging of R&D personnel to the company through conversion to a corporate company, and to provide the accuracy of responsibility and authority through the organization of the team unit. Since the number of technical commercialization achievements and technology certifications are occurring both in the case of contributing to capacity improvement and in case of not, it was confirmed that there is a limit in reviewing it as an important factor for enhancing R&D capacity from the perspective of management. Lastly, the experience of utility model filing was identified as a factor that has an important influence on R&D capability, and it was confirmed the need to provide motivation to encourage utility model filings in order to enhance R&D capability. As such, the results of this study are expected to provide important implications for corporate management strategies to enhance individual companies' R&D capabilities.

The Effect of R&D Expenditure on Firm Output: Empirical Evidence from Vietnam

  • BINH, Quan Minh Quoc;TUNG, Le Thanh
    • The Journal of Asian Finance, Economics and Business
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    • v.7 no.6
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    • pp.379-385
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    • 2020
  • The effect of research and development (R&D) expenditure on firm output is an interesting topic, but hardly explored in developing countries due to the unavailability of data. This study investigates this topic in the context of Vietnam by utilizing a novel dataset of 343 firms listed on the Vietnam Stock Exchange in the 2010-2018 period. The effect of R&D expenditure is examined under the production function framework. In order to obtain the robustness of the quantitative results, we estimate the production function with two coherent techniques including the OLS and 2-SLS. An instrumental variable regression technique is adopted to avoid the endogeneity problem between R&D expenditure and other variables. In our empirical analysis, we find that R&D expenditure has a positive and significant impact on output growth. The finding is robust in both OLS and 2-SLS frameworks. Besides, the output elasticity to R&D expenditure of our result is much higher than the estimated elasticity of other countries. The results imply that a 1% increase in R&D expenditure in Vietnam will help to expand the output more than a 1% increase in R&D investment in other countries. The findings from our paper provide important implications for firm managers, investors, and policymakers in Vietnam.

The Effect of Social Capital within and outside the Team on the R&D Performance: The Mediating Role of Knowledge Sharing (팀 내외의 사회적 자본이 R&D 성과에 미치는 영향: 지식공유의 매개효과)

  • Hwang, Homin;Lee, Sangkon
    • Knowledge Management Research
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    • v.20 no.3
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    • pp.49-71
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    • 2019
  • This study explores the role of knowledge sharing between their social capital and performance in R&D setting. R&D environment is composed of experts from various domains with different backgrounds, such as technologies and experiences. Thus, increasing team social capital and enhancing knowledge sharing are critical for R&D performance. Social capital and Knowledge sharing are classified into two : Social capital and Knowledge sharing within/outside team. A empirical study was conducted at a research institute of large company that leads the advanced research and development of the domestic chemical industry. Data was collected 292 copies out of 500 copies (Response rate 58.4%). The result indicated that both social capital within and outside team had a positive effect on R&D Performance. Social capital within team had a significant impact on knowledge sharing within the team only, and social capital outside team had a significant effect on knowledge sharing outside the team only. Only knowledge sharing outside the team had a positive effect on R&D Performance and the mediating role of knowledge sharing was acquired for social capital outside team and R&D Performance only. From these key findings, this study suggests that, within the team, social capital alone can achieve results, but outside the team, it is necessary that not only social capital but also knowledge sharing are needed in order to achieve results.

A Study on the Improvement of Classification System for the Budget Management of the Environmental R&D (환경 R&D 예산관리를 위한 환경기술분류체계 개선에 관한 연구)

  • Kang, Sung Goo;Kim, Young-Soo;Jung, Sung Hoon
    • Clean Technology
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    • v.11 no.2
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    • pp.91-104
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    • 2005
  • We studied more effective Environmental R&D management system which can be used in the budget allocation of the national R&D budget by the newly opened governmental administration system of science and technology. As a first step, we surveyed classification systems for the environmental technology which can be applied to the analysis of the national R&D budget. Each organization, either inland and oversea, has its own classification system for the environmental technology. However, we found that each systems can lead different results. It would be beneficial if an efficient standard classification system could be generated. The new system classified the environmental technology by the environmental management area(media) like most present systems rather than by the technical characteristics. The new system included all the areas of the environmental management and maintained consistent principles. The new system would help efficient management of the national R&D of the environment technology, if the national standard classification can be changed by the new system. To the researchers and professionals the new system will help them noticing the status of the environmental R&D and avoiding duplicate research, so that they can do research more efficiently and can achieve maximized results.

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Analyzing the Determinants of the Patent Quality in Fuel Cell and Solar Cell Technology Using Count Data Models (가산자료 회귀모형을 활용한 연료전지 및 태양전지 분야 특허의 질적 수준 결정요인 분석)

  • Park, Jung-Kyu;Heo, Eunn-Yeong
    • Journal of Korea Technology Innovation Society
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    • v.13 no.2
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    • pp.365-378
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    • 2010
  • For sustainable economic growth, the Korea government continues to increase its investment in R&D and at the same time, have reinforced the management of R&D outcomes and enlargement of its infrastructure for utilization. However, a strategic R&D planning that draws an outstanding outcomes is more important than the management of its post-outcomes. The purpose of this study is to propose an implication on the policy of R&D planning for obtaining a good R&D outcomes such as a high quality patent. We compared and analyzed the determinants of the patent quality in fuel cell and solar cell technology using the count data models. Estimated results showed that the determinants of the patent quality in technologies were different from each other. Therefore, having appropriate R&D planning strategies for all technologies was more effective than applying one same strategy for all because of technological differences, and based on the estimated results, we suggested the R&D planning strategy in fuel cell and solar cell technologies that could in result in high R&D outcomes.

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