• Management & Information Systems Review
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• v.30 no.2
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• pp.211-235
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• 2011

We examined the relationship between innovation capability of R&D and the firm's performance by mainly comparing regional strategy industry with non-regional strategy industry. Also, this analysis involved comparing the relationship by regional strategy industry. For the purpose of this study, we divided innovation capability of R&D into input, process and output. The first of main results in this study was that regional strategic industry was significantly higher than non-regional strategy industry in innovation capability of R&D with the exception of the CEO's mind for technological innovations. However, we found no significant difference in the firm's performance. Second, in the results of comparing innovation capability of R&D and the firm's performance by regional strategy industry, electronic-information equipment industry was significantly superior to other industries. Third, it was found that the relationship between innovation capability of R&D and the firm's performance was different by regional strategy industry. Also, R&D manpower and R&D process were more significant factors affecting the firm's performance rather than R&D input and output.

• Journal of Korea Technology Innovation Society
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• v.18 no.2
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• pp.233-263
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• 2015

This study considers the improvement of R&D promotion program and its investment efficiency for regional industry. We find out some problems of R&D promotion program and suggest plans to improve investment efficiency of R&D through practical analysis of achievement. Since the 2000s, our country has implemented diverse policies for regional industry; R&D for regional industry has become a core part of business from the point of view of regional industry. As ever, these policies are highly supported for the purpose of securing industrial competitiveness by the central government and local governments. This study, through practical analysis of certain region (Jeonbuk), reviews some problems of R&D promotion program and suggests plans to enhance the achievements of a variety of policies, strategies, and projects. We perform practical analysis using three methods for three different aspects: shift-share analysis for each industry type, performance analysis for each investment type and characteristic analysis for each company type. Reviewing the results of practical analysis, we suggest some plans to promote the collaboration of main R&D support organizations and to minimize the doubleness caused sporadically by the central government and local governments. This research will be used effectively in setting up, implementing, and evaluating R&D investments for regional Industry.

• The Journal of the Korea Contents Association
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• v.10 no.4
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• pp.292-297
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• 2010

The Economic region, the strategy for regional development, is a global trend and has become the blue ocean. Korea has also moved forward with the concept of economic region as the strategy for regional development. So, The main purpose of this study is to find the strategies to improve the regional R&D competitive power and making regional R&D support system. As a goal of regional innovation and regional economic development, the business adds new jobs and new products, resulting in growth of the community.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.22 no.1
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• pp.231-246
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• 2011

National R&D project management agencies have promoted continuous investment and development to provide efficient information such as collection and analysis of industry and technology information and research trend information, and development of user oriented information system. This research analyzes Region Industry Total Information System status to manage regional R&D and suggests methods for regional industry project management. This paper may contribute to the advancement of efficient information management system though research method.

• Journal of Korea Society of Digital Industry and Information Management
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• v.17 no.4
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• pp.161-175
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• 2021

This study analyzed the efficiency and influence factors according to the main research institute type of R&D Program for the local community problem-solving. This study applied data envelopment analysis (DEA) method and Tobit regression analysis by using 20 institutions that participated in R&D Program. The results are summarized as follows. First, Analysis results according to the research institute type of R&D project, Efficient DMUs showed more regional innovation institutions than social economy enterprises. But regional innovation institutions were the lowest in the CCR and BCC model. However, efficiency dose not differ between regional innovation institutions and social economy enterprises. Second, as a result of the analysis relation between efficiency and allocation characteristics of R&D input, the participation of regional innovation organizations as participating organizations has a negative effect on efficiency. It was found that the higher the proportion of government subsidies and the higher the employment rate of the vulnerable, which is a social achievement, the positive effect on efficiency. The implication of this study is that the participation of social economy enterprises as the main R&D institution and government R&D support can provide social economy enterprises with opportunities to accumulate R&D capabilities and experience successful commercialization.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.6
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• pp.2514-2519
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• 2012

The policy objective of leading industries for an economic region is to increase industrial competitiveness by regional cooperation and linkage and so the economic impact analysis of R&D by region is required. This research utilizes regional input-output tables of the Bank of Korea to analyze the economic impact of 'next-generation wireless communication devices' project in 'New IT' sector of Chungcheong economic region.

• Journal of the Korean association of regional geographers
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• v.20 no.1
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• pp.16-29
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• 2014

This study aims to suggest methods for improving innovation capability in Daegu-Gyeongbuk's mobile industry. Before offering suggestions, it analyzes the characteristics of technological innovation based on the mobile industry's value chain in Daegu-Gyeongbuk in relation to R&D workforce, R&D expenditures, and R&D networks. Support for R&D workforce in the Daegu-Gyeongbuk's mobile industry is concentrated in the mobile device and contents sectors. In addition, it is difficult for companies to finance R&D expenditures because most are SMEs, except for some large enterprises in the mobile device sector. R&D networks are structured mainly inside of companies, and linkages among universities, research institutes, and supporting institutes are weak in all sectors. To strengthen the innovation capability in Daegu-Gyeongbuk's mobile industry, therefore, human resource projects should be dispersed, and financial support should also be spread across value chain sectors rather than concentrated. Aside from this, a place for industry, academia, institutes, and government to build and enhance innovative networks should be created in all sectors.

• Bulletin of Food Technology
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• v.23 no.1
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• pp.104-116
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• 2010

• Journal of Society of Preventive Korean Medicine
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• v.6 no.1
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• pp.36-50
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• 2002

Health industry, a knowledge based high value-added industry, is being considered as a strategic area for the 21C and many advanced countries are making every endeavors for the promotion of health industry along with information technology, new materials, and mechatronics. Korean health industry, however, has been excluded from the governmental supports as well as bound by strict regulation so far, and there is a significant gap in technology compared with advanced countries. In 21C, technology is the main factor of national competitiveness and that is why the role of R&D institutes are so important in the high level of competition to cope with the technology protection policies of advanced countries. In this article, with Directory of Korean R&D Institutes published by Korea Industry Technology Association, I reviewed the trends of R&D institute of health industry. Main findings of the research can be summarized as follows. The portion of health industry R&D institute is 3.6% of total R&D institute but the amount of R&D investment is over than 5% This means health industry are knowledge based and R&D intensified industry, meanwhile the variations of same industry R&D institutes of health industry is huge in R&D investments and other activities. Regional distributions of health industry institutes show some kind of different patterns in each industry areas. Medical devices and Medical informatics's preference of metropolitan region are distinguished with other industry areas. Many of the institutes are located in same site of it's company rather than operating separate building for R&D specific uses. It is better for transforming ideas to products and close cooperation of research body with product lines, but it is a handicap for networking and communicating with other research institutions too. It takes 18.4yrs for bearing R&D institute on the average. For a long times 'copy products' or 'me too products' policies were easy way to maintain business entities. But recently, it is recognized that research activities are essential component of sustaining it's own business firms. This means technology itself is leading power of corporation itself in the high level of competition.

• Journal of the Korean Society of Industry Convergence
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• v.21 no.3
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• pp.117-123
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• 2018

Continued R&D investment by the government and corporate support played a major role as the background of the rapid growth of the Republic of Korea. In 2017 of the Republic of Korea, the R&D support size of the government accounted for 19.7 trillion won, accounting for 4.7% of the government budget. Government R&D budgets are increasing by 2.5% each year. In this paper, we analyzed the outcomes of the Busan regional company support project conducted in the 2 years. For the time series analysis, we gathered company support amount by year, sales after company support, employment. We used IBM SPSS(Statistical Package for the Social Sciences) statistics 18 for correlation analysis.