• Journal of Technology Innovation
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• v.19 no.1
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• pp.29-53
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• 2011

This paper analyzes the effects of government-sponsored R&D on firm's employment and management performance, using the panel data of manufacturing firms in the area of Busan, Ulsan and Gyungnam. The paper applies PSM to estimate the treatment effects(ATT) without sample selection bias. The findings show that government-sponsored R&D in the area has positive effects on the participating firms' employment and R&D for several years after completing R&D projects.

• Journal of the Korea Convergence Society
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• v.8 no.1
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• pp.213-220
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• 2017

This Study conducts a survey of ICT SMEs participating in 'ICT Government Sponsored Loan Project' for researching general demands on Government sponsored loans and studies successful company case by inspecting background of R&D, performances, impacts, prospects, episodes, etc. Actually, survey results show that ICT SMEs demand more of Government sponsored loans and that stable financing is a core factor and the most difficult task for successful R&D. In conclusion, these results implicate that Government has to create new policies for competitive ICT SMEs to recover financial stability through developing and commercializing technologies.

• Journal of Korea Technology Innovation Society
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• v.18 no.2
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• pp.318-337
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• 2015

Although the government continues to increase its investment into R&D, the technology transfer or commercialization success rate of the government- sponsored research institutes was lower than the investment. This research suggested the method of successful technology transfer through case study of technology transfer of the government-sponsored research institutes. Based on the case analysis of three types of technology transfer programs (corporate-demand model, technology-based model, and consortium-focused model) conducted by the K research institute, the study explained in detail that the technology transfer method by discovering potential companies in need is more effective compared to the general technology transfer marketing that advertises the technologies obtained by the research institutes to companies. In addition, since the preliminary R&D planning that considers the needs of the companies in demand has positive influences on the results of technology transfer, this study implied the importance of the strategic R&D planning.

• Journal of Technology Innovation
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• v.1 no.1
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• pp.1-27
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• 1993

• Journal of Technology Innovation
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• v.3 no.1
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• pp.1-34
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• 1995

Since 1982, the government of Korea has actively promoted vertical cooperative R&D programs between government-sponsored research institutes (GRIs) and private firms. A number of firms participated in the programs because cooperative R&D could lower the risk and could contribute to rapid commercialization of many technologies. This paper examines the effectiveness of vertical cooperative R&D projects by the modes of cooperation between GRIs and industrial firms, and analyzes the performance of participating firms' technology sourcing strategies for commercial utilization of cooperative R&D results at the project performed from 1982 to 1989 under the Government-Industry Cooperative R&D Program sponsored by the Ministry of Science and Technology(MOST) in Korea. The cooperative R&D projects are classified into 4 groups by two criteria, i.e., the level of participation of firms, and the breadth of cooperation. The findings suggest that firms should actively participate in cooperative R&D projects. In addition, in order to enhance commercial success, cooperation between GRIs and industrial firms should not be limited to R&D stage only. The breadth of cooperation should be extended to commercialization stage. Small- and medium-sized firms participating in vertical cooperative R&D projects in Korea usually lack internal technological capabilities that are needed to commercialize the results of cooperative R&D. Three different technology sourcing strategies - exclusive cooperative R&D strategy, in-house development augmented cooperative R&D strategy, and licensing-in supplemented cooperative R&D strategy - are empirically derived through cluster analysis of the relative usage rates cooperative R&D and of other supplementary technology acquisition methods. The findings suggest that the firms participating in vertical cooperative R&D projects should try to utilize other supplementary technology acquisition methods in order to achieve commercial utilization of the vertical cooperative R&D results.

• Journal of Technology Innovation
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• v.8 no.1
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• pp.197-216
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• 2000

This study is to make clear the knowledge-based management perspective for knowledge companies and to find a way to measure intellectual capital of R&D organizations. Based on the state-of-the-art findings from business sectors, the intellectual capital is divided into three categories: human capital, structural capital, and customer capital. The fourth capital, infrastructural capital, is added in this study specifically for government sponsored R&D organizations, of which the main objectives are to foster technological innovation nationwide and to support its diffusion effectively, The result of this study can offer basic concept of under what categories they can be classified, which also can be used further to find the right indicators of intellectual capital specific to each organization by combining the items found in this study.

• Journal of Korea Technology Innovation Society
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• v.21 no.3
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• pp.969-991
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• 2018

The aim of this study lies on verifying the mediation effect of organizational justice in the relationship between R&D personnel's job characteristics and organizational performance within their Government-sponsored research institute. For this, a survey was conducted on 362 R&D personnel members from 25 state-sponsored research institutes under National Research Council of Science & Technology, and then, a multiple regression analysis was used to seek any possible relationship. As a result, job characteristics such as autonomy and feedback were found to have positive (+) influence on organizational commitment. In addition, the result of the mediation effect of organizational justice indicated that the impact was made only by autonomy. This study finds its significance in the fact that it revealed the relationship between job characteristics and job satisfaction among R&D personnel in state-sponsored research institutes who have rarely been the source of objectives in related studies, and that it revealed organizational justice mediated the relationship.

• Journal of Korean Institute of Industrial Engineers
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• v.40 no.1
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• pp.84-99
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• 2014

In this study, determinant input-output variables are identified for calculating Data Envelopment Analysis (DEA) efficiency scores relating to evaluating the efficiency of government-sponsored research and development (R&D) projects. In particular, this study proposes a systematic framework of design and analysis of experiments, called "all possible DEAs", for pinpointing DEA determinant input-output variables. In addition to correlation analyses, two modified measures of time series analysis are developed in order to check the similarities between a DEA complete data structure (CDS) versus the rest of incomplete data structures (IDSs). In this empirical analysis, a few DEA determinant input-output variables are found to be associated with a typical public R&D performance evaluation logic model, especially oriented to a mid- and long-term performance perspective. Among four variables, only two determinants are identified : "R&D manpower" ($x_2$) and "Sales revenue" ($y_1$). However, it should be pointed out that the input variable "R&D funds" ($x_1$) is insignificant for calculating DEA efficiency score even if it is a critical input for measuring efficiency of a government-sonsored R&D project from a practical point of view a priori. In this context, if practitioners' top priority is to see the efficiency between "R&D funds" ($x_1$) and "Sales revenue" ($y_1$), the DEA efficiency score cannot properly meet their expectations. Therefore, meticulous attention is required when using the DEA application for public R&D performance evaluation, considering that discrepancies can occur between practitioners' expectations and DEA efficiency scores.

• Journal of Technology Innovation
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• v.26 no.4
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• pp.122-145
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• 2018

This paper investigates the relationship between R&D professionals' career plateau and organizational commitment in which career plateau's sub-dimensions consist of structural and job-content plateau. Further, it aims to examine the moderating effect of age and creative behavior of R&D professionals on the relationship between career plateau and organizational commitment. Empirical data were collected from 418 R&D professionals who work for Government sponsored research institutions. The results showed that the relationship between structural plateau and organizational commitment is differently related depending on age level. That is, the negative relationship between structural plateau and organizational commitment is stronger for junior R&D professionals. Furthermore, the relationship between job-content plateau and organizational commitment is negatively related, and differs in the strength depending on the creative behavior level of R&D professionals. For one with stronger characteristics of creative behavior, job-content plateau is more negatively related to organizational commitment. Based on the results, some implications are suggested on the career plateau issues of R&D professionals who work for government sponsored research institutions. Finally, it is discussed on the limitations of this study and further research directions.

• Journal of the Korea Society of Computer and Information
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• v.22 no.2
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• pp.119-125
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• 2017

In this paper, we propose an approach to evaluating the performance of the national R&D investment in IT(Information Technology) areas in terms of paper, patent and commercialization, and seeking ways to improve the efficiency of the national R&D investment. This is because the government has focused the national R&D investment on IT areas for some time. For that purpose, we gather data on investments, papers, patents, and commercializations for the government sponsored R&D projects in IT areas through National Science & Technology Information Service. From which, we summarize the investment and performance in terms of papers, patents, and commercializations for each IT area, evaluate efficiency per R&D investment for each IT area, and compare the efficiencies among IT areas. Finally, we drive implications for efficiency enhancement and strategic R&D budget allocation for each IT area.