• Korean System Dynamics Review
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• v.13 no.1
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• pp.113-131
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• 2012

Applying social network analysis techniques, this study examines complex system characteristics of industry-university joint research R&D networks. In specific, it focuses on whether these R&D networks comply with the power law, whose system typically presents the-rich-get-richer and the-poor-get-poor patterns. The basic data come from 7,751 industry-university joint research projects, all of which were carried out by Daejeon, Chungbuk, and Chungnam-based universities from January 2005 to October 2008. The empirical results reveal that the R&D networks abide by the power law. That is, a handful of business units and universities command an overwhelming majority in the joint links, indicating positive feedback dominance within the system.

• Korean Management Science Review
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• v.16 no.1
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• pp.63-74
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• 1999

This paper presents a R&D investment model for the Information and telecommunications(l&T) technology using multiple objective linear programming(MOLP). The MOLP model involves the simultaneous maximization of three linear objective functions associated with three criteria, which are social, technological, and economic criterion. This model is different from the traditional one which only involves the maximization of economic criterion. It yields a suitable R&D investment ratio to each technology field. Its application to the National R&D Project in l&t Industry is also presented. In this application, the Analytic Hierarchy Process(AHP) is proposed to estimate the weights, which used as the coefficients in each objective function of the MOLP model. Then the problem is solved using the interactive method STEM. It is showed that with the aid of STEM, the MOLP model can be useful decision aid in formulation R&D investment plan in l&t industry. It is expected that the MOLP model works as the basis for planning R&D investment strategy in l&T industry.

• Proceedings of the Computational Structural Engineering Institute Conference
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• 2007.04a
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• pp.193-196
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• 2007

Technology fusion has been recognized as one of the new emerging R&D areas in the construction industry. Therefore it is mandatory to identify important research streams of fusion R&D at the construction R&D planning phase, especially to technology follower. In order to generate innovative and promising fusion R&D programs effectively, this study analyzed research streams of fusion R&D for construction industry with the patent analysis by analyzing 352 patents. As a results, we suggest some important fusion R&D trends.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.37B no.9
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• pp.837-848
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• 2012

This study has conducted the economic effects of R&D investment in the IT industry using multi-regression analysis with three independent variables; capital stock, labor input and R&D stock. In this study, the IT industry has been categorized into three sub-industries; broadcasting communication appliances, information appliances and electronic components industry. Our analysis has found that auto-correlation shows considerable levels whereas figures of t-value and R-square show significant levels among all the IT sub-industries. Meanwhile, the values of R&D stock in the information appliances industry and that of labor input coefficients in the electronic components industry were minus, thus multi-collinearity was suspected. We have solved the problems regarding auto-correlation and multi-collinearity through Cochrane-Orcutt estimation and principal components analysis. This paper has derived the implications that R&D investment in the broadcasting communication industry is much more influential than any other IT sub-industry.

• Journal of the Korea Convergence Society
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• v.6 no.5
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• pp.99-106
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• 2015

The purpose of this research is to bring supportive ways to reinforce the market competitiveness of fusion industry based on the rapidly arising fusion industries considering system improvement and fusion R&D support. The research has proceeded in the order of setup for competitiveness reinforcing way of fusion industry and deduction for competitiveness reinforcing way based on directivity. It classified the fusion industry into introduction, diffusion and development by time, and suggested expert fusion R&D, open type fusion R&D, customized fusion R&D, system improvement of market entrance and supportive way for public purchase as the supportive way. It's purpose is to lead the entrance into the new fusion market, stabilize to settle into the market and create high value products by resolving difficulties for the market entrance of the new fusion products & service, reinforcing the fusion capability and securing the competitive advantage.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.39 no.4
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• pp.125-136
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• 2016

The external R&D, which includes the adoption of the external technology and knowledge in addition to the internal R&D, is one of important factors for the innovation. Especially for small and medium-sized enterprises (SMEs), the external R&D has been considered as a key factor to carry out the innovation more efficiently due to the limitations of their resources and capacities. However, most of extant studies related to external R&D have focused on analyzing the influence of external R&D on innovation outputs or outcomes. Only a few studies have explored the impact of external R&D on the innovation efficiency. This study therefore investigates whether the external R&D effects the industry's innovation efficiency and productivity. On this study, we used Korean manufacturing industry data of SMEs from 2012 to 2014 and employed a global Malmquist productivity analysis technique, which is based on the Data Envelopment Analysis (DEA), to assess the innovation efficiency and productivity. Innovation performances of external R&D group and internal R&D group are compared. Then, the sectoral patterns of both innovation efficiency and productivity are analyzed with respect to the technological intensity, which is introduced by OECD. The results show that the gap of innovation efficiency between external and internal R&D groups has gradually decreased because of the continuous improvement of the external R&D group's performance, while the external R&D group lag behind the internal R&D group. In addition, patterns of the innovation efficiency and productivity change were different depending on the technological intensity, which means that the higher the technological intensity, the greater the effect of external R&D.

• The Journal of the Korea Contents Association
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• v.10 no.4
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• pp.306-316
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• 2010

The purpose of study is to promote the development of contents industry by analysing the causal relationship between R&D collaboration and firms' performance. In study, we use the number of intellectual property and total sales as proxy variables of performance. we use the degrees of collaboration experience, firms' interaction and degree of collaboration as proxy variables of independent variables. The results of study are as follows. First, collaboration experience and firms' interaction are positively influence on technological performance. Second, collaboration experience is positively correlated to economic performance. Finally, firms' R&D collaboration revealed higher performance than R&D collaboration of firm and R&D institution This study emphases on the importances of R&D collaboration for developing new technology and improving economic performance.

• Asia Marketing Journal
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• v.16 no.4
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• pp.19-37
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• 2015

Forming interfirm collaborative relationships has become a key aspect of a firm's marketing strategies to create value for customers and achieve greater firm performance. While empirical findings are mixed in previous studies, this study is an effort to identify boundary conditions for the benefits of marketing alliances. We investigate internal and environmental factors that may magnify or constrain the effect of marketing alliances on firm profitability. Given the complementary relationship between marketing and R&D activities, we focus on a firm's R&D intensity as an internal factor that may magnify the value of marketing alliances for firm performance. For environmental factors, we focus on industry turbulence and industry competitiveness. Industry turbulence refers to the degree to which industry market conditions change quickly and unpredictably, whereas industry competitiveness refers to the degree to which a firm faces competition in the industry. By testing these factors, we are intended to reveal boundary conditions that determine the value of marketing alliances for firm profitability. The analysis of firms in the diverse industries shows that while the main effect of marketing alliances on firm profitability is not significant, it becomes more positive when R&D investment is more intensive or when industry environment is more turbulent. The results of this study imply that just forming more marketing alliances may not be enough to increase firm profitability. Our findings imply that marketing alliances become more effective in a dynamically changing industry environment. That is, firms can cope with industry uncertainties more effectively by forming marketing alliances. At the same time, the moderating effect of R&D intensity implies that the internal investments in R&D magnify the effect of marketing alliances on firm profitability. The findings of this study contributes to the existing alliance literature in three aspects. First, this study enhances our understanding of the contingent value of marketing alliances by testing both internal and external factors that may influence the effectiveness of marketing alliances. Second, this study responds to the need for research that investigates actual performance resulting from interfirm relationships. Third, while previous studies primarily focused on a specific industry, this study extend previous findings of the boundary conditions for the benefits of marketing alliances in a broader context.

• Journal of Korea Technology Innovation Society
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• v.15 no.2
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• pp.277-298
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• 2012

Once a production focused on primary industry, Food, agriculture, forestry and fisheries industry is now trying to shed away and plans to totally transform the paradigm of agricultural R&D with a leaping goal towards being a new growth engine. Promoting the bioindustry through utilizing agricultural bioresources was selected as the primary task and also made all efforts to support by all government department and ministry. In this study, we are raised problems and planned the improvements by the empirical analysis of national R&D policy, investment strategy, the recent progress of R&D program, and the performance of R&D investment to achieve early commercialization in fields of agricultural bioresources utilizing. We also propose the R&D role sharing and cooperations of public/private sector to commercialize the agricultural bioresources from the comprehensive empirical analysis results. It will eventually strengthen the national R&D investment strategy and efficiency and then will contribute towards a successful early commercialization performance in bioindustry through utilizing agricultural bioresources.

• Journal of Technology Innovation
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• v.21 no.1
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• pp.59-83
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• 2013

Recently, the importance of the health care industry is increasing due to the rapid changes in the population structure caused by decreasing in fertility rate and aging population. Therefore expansion of government investment in R&D of the health care industry is needed as the demand of health care is increasing. This study attempts to examine the economic impacts of national research and development for the health care industry using an inter-industry analysis. Specifically, the study investigates production-inducing effect, value added inducing effect, and employment-inducing effect of the health care industry based on demand-driven model. These analyses pay particular and close attention to the health care industry by taking it as exogenous rather than endogenous. Here we present results. First, the production-inducing effect and value added inducing effect was high in common real estate and business services and finance and insurance sector. Second, employment-inducing effect of the health care industry showed the highest levels in wholesale and retail sector, followed by the real estate and business services, agriculture sector. Third, the actual 2009 health care industry-related national R&D investment embracing on the production-inducing effect and value added inducing effect. The health care industry R&D induces the production of 4,932 billion won and the value added of 2163 billion won.