• The Journal of the Korea Contents Association
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• v.13 no.1
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• pp.147-155
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• 2013

The purpose of this study is to analyze how much performance industry contribute to national economy by measuring economic effects of performance industry. To achieve the purpose of the study, the study uses an performance industry(theater, music and other arts, 390 sectors) Input-Output Table of yaer 2009 of korea bank. The results shows that performance industry induce 391.6 trillion won in the national production, 65.1 trillion won in the income inducement, 16.3 trillion won in the tax inducement. Especially the performance industry shows that production inducement coefficient is 1,387, Index of the power of dispersion is 0.020, index of the sensitivity of dispersion is 0.025, value-added inducement coefficient is 0.662, income inducement coefficient is 0.455, tax inducement coefficient is 0.046 and employment inducement coefficient is 0.010.

• Journal of Digital Convergence
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• v.6 no.4
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• pp.137-145
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• 2008

Embedded industry has emerged as one of the important industry for u-IT based application service. Technology development related to embedded hardware and software provides the base for the development of U-IT convergence industry. This study intends to suggest a research model to investigate the influence of industry, organization, technology factors on technology performance in the embedded companies. This study adopted research variables such as global network, local network, industry intensity, and technology capability as independent variables, with technology performance as a dependent variable from the existing literatures. The purpose of this study is to analyze the influence of industrial and organizational factors on technology performance of embedded companies SCM systems, including the moderating effect of government support. 94 companies data were collected by survey. The result of this empirical study is summarized as follows. First, local network and technology capability are the important determinants to influence technology performance of embedded companies in direct effect model. Second, global network and industry intensity has more positive influence on technology performance of embedded companies through a moderating variable of government support.

• Journal of Digital Convergence
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• v.15 no.5
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• pp.151-159
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• 2017

This paper proposes various policies for improving the process of performance analysis on R&D expenditure of the public funds in the Korean ICT industry. In order to do so, this paper figures out the present issues relating to performance indicators, methodologies for performance evaluation, release and comparison of evaluation results, follow-up study, integrated management system for performance analysis in ICT industry. In this paper, we suggest some new policies such as consulting an expert for improving performance indicators, maintaining the pre-determined performance indicators, introducing the qualitative performance indicators for measuring effectiveness, adopting the new methodologies reflecting R&D characteristics, introducing the new performance index for comparing annual performance, requiring follow-up study for major ICT R&D, introducing the independent and temporary organization for R&D performance analysis in ICT industry. In conclusion, these new policies will raise effectiveness and efficiency of the government R&D expenditure in ICT industry as well as strengthen the industry competitiveness.

• Journal of Korea Society of Digital Industry and Information Management
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• v.9 no.2
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• pp.121-137
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• 2013

Now days, firm's technology capability is recognized as important factor to forecast and to evaluate firm's business performance. There are many efforts to develop useful indicators by applying patent information that includes concrete description about technology. Many previous studies analyzed relationship between patent indicators and firm's performance. But they didn't consider time gap between a point of firm's invention activity and a point of firm's performance improvement. They didn't considered a character of industrial fields either. To overcome these limitations, we selected IT industry for target analysis industry. Time-series patent data and financial data from 41 American IT firms between 2000 and 2011 were used to analyze. In this study, We empirically analyzed subsequent effect of patent indicators on firm's business performance by using correlation analysis and regression analysis.

• Journal of Korea Society of Digital Industry and Information Management
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• v.12 no.4
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• pp.123-134
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• 2016

Social capitals are getting more important for management in enterprises, especially in small and medium sized enterprises(SMEs). The purpose of this study is to examine the effect of social capitals on the performance of intellectual property. For the empirical analysis, survey data were collected from 138 companies in one industry cluster, 34 companies in the other one. The data were compared using regression analysis. The findings confirm a positive influence of the conceptive social capital on the performance of intellectual property while there are no effect of structural and relational social capitals on the performance. These are different from the past researches. In addition, there is no difference between industrial types such as IT, BT, and NT in terms of the effect of social capitals on the performance of intellectual property. Also there is no difference between the two industry clusters.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2006.11a
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• pp.539-544
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• 2006

This study has been attempted to find that factors for successful six-sigma implementation influence non-financial performance & financial performance in korean finance industry. In addition, goal of this study is to find out core factor in korean finance industry. To achieve the aim of this study, a document study and interview and an empirical analysis were performed. The collected questionnaires for the empirical analysis were processed statistically through data cording. Cronbach'a was conducted to get the construct reliability. To identify which factors for successful six-sigma implementation influence performances of six-sigma implementation, factor analysis was conducted to get the construct validity. After factor analysis, multiple regressions were utilized to identify the core factors (or factors for successful six-sigma implementation). The result of the study that has been derived through this process is summarized below. Firstly, by analyzing the effect factors for successful six-sigma implementation has on non-financial performance of finance industry, it shows that Process-integration & standardization variable has influenced. Secondly, by analyzing the effect factors for successful six-sigma implementation has on financial performance of finance industry, it shows that 'Process-integration & standardization' variables and 'Customer & Market mind' variables have influenced. The results of this study show that 'Process-integration & standardization' and 'Customer & Market mind' are core factors to influence non-financial performance & financial performance in korean finance industry

• Journal of Information Technology Services
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• v.11 no.3
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• pp.89-101
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• 2012

The study investigated if IT investment in Korean financial markets for the past 18 years has grown following the s-curve pattern based on Nolan's growth model in order to find the correlation between IT investment and management performance in the financial industry. According to the research finding it can be said that the overall financial markets maintain s-curve pattern, and IT investment is related to management performance, particularly increase in total assets and net profit. However, each sector has defining features of growth patterns. The banking industry has grown similarly to the s-curve, and the insurance industry also shows the s-curve but it looks more like linear pattern. In terms of securities industry, its growth patterns can hardly be considered s-curve due to the irregular changes. his research outcome illustrates the analysis of IT growth patterns in the financial industry and thus, it is expected to be a useful reference when deciding the appropriate time for IT investment in the financial industry.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.37 no.3
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• pp.24-35
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• 2014

This paper examines, from the perspective of the structure-conduct-performance (S-C-P) paradigm, the structural factors that determine R&D concentration in industries. The results are as follows. First, an industry's R&D concentration is directly related to its market concentration, R&D intensity, capital intensity, and technological opportunities. In contrast, the higher an industry's performance, the more likely the diffusion of R&D investment is for firms belonging to that industry. Second, an industry's R&D concentration has a positive effect on its market concentration but a negative effect on its performance, suggesting that governments should adopt R&D policies that would induce more firms to invest in R&D instead of focusing only on a few firms to enhance industry performance.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.44 no.3
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• pp.192-206
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• 2021

The pharmaceutical industry is an industry that provides medicines related to the health and life of the people. The pharmaceutical industry is a traditional regulation industry with the characteristics of R&D(Research and Development), purchasing, manufacturing, distribution and consumption under strict government management. Until now, pharmaceutical companies have continued to make efforts to maintain competitiveness through patent management, new product development, and marketing. However, industries are rapidly changing, including rising costs for developing new products and expanding generic markets. As these changes and uncertainties in the management environment increase, efforts are required to improve the competitiveness of the pharmaceutical industry from a new perspective. In this study, we intend to examine the impact of SCM(Supply Chain Management) dynamic capability of pharmaceutical companies on corporate performance through partnerships to respond to market changes and uncertainties. It was determined that the agility, visibility and flexibility that constitutes the SCM dynamic capabilities would affect the performance of pharmaceutical companies. In this study, the importance of SCM dynamic capabilities and cooperative relationships was identified through surveys by SCM managers of pharmaceutical companies. Consequently, in the pharmaceutical industry, which is a regulatory industry, we have identified that SCM dynamic capabilities and cooperative relationships with partner companies have a significant impact on corporate performance.

• The Journal of Korean Institute for Practical Engineering Education
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• v.3 no.1
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• pp.119-126
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• 2011

This study analyzed the effect of the competency factors (resources and education competency)on the performance of university-industry cooperation by characteristic of universities through multiple regression model using 202 datasets empirically. The input factors variables used in a research model were characteristics of universities (research oriented/education-oriented universities and public/private universities) and competency factors (resource competency and education competency) of university-industry cooperation. The performance factors of university-industry cooperation were composed of the outcomes of intellectual knowledge asset, technology transfer, spin-off and financial profits. The empirical results show that research-oriented universities and public universities produce a uniter performance of university-industry cooperation than education-oriented universities and private universities, respectively and the competency factors of university-industry cooperation such as resource and education competency also have a positive effect on the performance of university-industry cooperation.