• Journal of Labour Economics
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• v.38 no.4
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• pp.31-56
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• 2015

This study compares the relative effectiveness of private tutoring and self-directed learning on the formation of cognitive (academic achievement on Korean, math, and English) and noncognitive skills (friendship, self esteem, creative personality, and motivation) of primary and secondary school students in Seoul. The results show that private tutoring has positive but diminishing effects on cognitive skill formation with no effects on noncognitive skill formation, while self-directed learning has positive effects on both cognitive and noncognitive skill formation.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.13 no.4
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• pp.99-116
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• 2018

The purpose of this study is to suggest the integrated entrepreneurial competency models that reflect critical entrepreneurial competencies that entrepreneurs should have at different stages, thereby enhancing the success rate of ventures. To accomplish the purpose, this study developed the hypotheses about the positive effects of entrepreneurial competencies on business performance, and the moderating effect of learning competency to strengthen the relationship between entrepreneurial competencies and business performance. The results of this study are as follows. First, the technological functional competency of entrepreneurial teams, the resource utilization and business planning competency of entrepreneurs in the early stage of business development were found to significantly affect both non-financial and technological performance. The opportunity recognition competency has a significantly positive effect on non-financial performance. In addition, it is analyzed that learning competency significantly moderated the relationship between entrepreneurial competencies(technological functional, resource utilization) and non-financial performance. The moderating effect of learning competency between business planning competency and technological performance was also found to be significant. Second, leadership and resource acquisition competency of entrepreneurs in the late stage of ventures have significantly positive effects on both non-financial and technological performance. The strategic competency has a significantly positive effect on non-financial performance. It was also found that the moderating effect of learning competency between strategic competency and non-financial performance was significant. Finally, the results show that both non-financial and technical performance of NTBVs are significant determinants of financial performance.

• Journal of Venture Innovation
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• v.2 no.2
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• pp.47-64
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• 2019

This study analyzed the effects of small business CEO's competencies type on business performance. For this purpose, 4 independent variables(strategic, marketing, management and network competencies) and 2 dependent variables(financial and non-financial performance) were used. 220 data were collected from the field survey questionnaires administered to a convenience sample of small business CEO. For hypothesis testing, the IBM SPSS Statistics 24.0 was used. Frequency analysis, exploratory factor analysis, correlation analysis, and hierarchical regression analysis were conducted. Empirical studies showed as follows. First, this study showed that the four competencies were significant to financial performance and the three competencies(except management competencies) were significant to non-financial performance. The higher small business CEO's competencies, the more likely it affects both the financial and non-financial performance of the company. Second, effects of small business CEO's competencies on financial performance were analyzed in order of network competencies > management competencies > strategic competencies > marketing competencies. Third, effects of small business CEO's competencies on non-financial performance were analyzed in order of network competencies > marketing competencies > strategic competencies. These findings had some implications. In academia, the impact forces of 4 small business CEO's competencies were analyzed for the first time. In practices, successful start-ups or sustainable management requires an interest in the active enhancement of small business CEO's competencies.

• 재활복지
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• v.20 no.1
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• pp.151-170
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• 2016

The purpose of the research is to suggest the method to maximize management achievement of the sheltered workshops with analyzing the factors of organizational competencies which affect the business performance. The study was proceeded after suggesting the research model based on discussion on the business performance of Malcolm Baldrige (1987) model which assessed as the most optimized one for evaluation of the business performance of enterprise. First, the organizational competence of the sheltered workshop impact on commercial performance and noncommercial performance meaningfully. The commercial performance affects marketing competence, administrative competence, financial competence in order of mention, and noncommercial performance affects workshop cultural competence, financial competence, leader competence, human resources competence in order of mention. Second, the organizational competence of the sheltered workshop affects comprehensive business performance including commercial and noncommercial, in order of marketing competence, workshop cultural competence, financial competence, and human resource competence.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.28 no.1A
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• pp.25-37
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• 2008

The capacity spectrum method (CSM) is a simple and graphical seismic analysis procedure. Originally, it has been developed for buildings, but now its applicability has been extended to bridge structures. It is based on the capacity curve estimated by pushover analysis and demand spectrum reduced from linear elastic design spectrum by using effective damping or strength reduction factor. In this paper, the inelastic demand spectrum as the reduced demand spectrum is calculated from the linear elastic design spectrum by using the several formulas for the strength reduction factor. The effects of the strength reduction factor for the capacity spectrum analysis are evaluated for 3 types of symmetric and asymmetric bridge structures. To investigate an accuracy of the CSM which several formulas for strength reduction factor were applied, the maximum displacements estimated by the CSM are compared with the results obtained by nonlinear time history analysis for 8 artificially generated earthquakes. The maximum displacements estimated by the CSM using the SJ formula among the several strength reduction factors provide the most accurate agreement with those calculated by the inelastic time history analysis.

• Journal of the Korean Institute of Intelligent Systems
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• v.26 no.6
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• pp.498-504
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• 2016

This study investigates the relationship between human resource capacity and financial and non-financial performance. We examine the previous studies on human resources and corporate performance, the performance factors of SMEs, financial performance and non-financial performance. Based on this research, model and research hypothesis were set up. According to study result, CEO's competency influences on both of non-financial and financial performances. The period of CEO's experience in one industry positively effects on filing number of intellectual properties(IPs). Firm's basic competency positively effects on non-financial performance but has meaningless impact on financial performance. The extent of education and experience of executive managers positively influences on filling number of IPs. The extent of education and experience of R&D personnel also positively effects on technology innovation output. Executive managers specialties may influence on long term performance but are identified that those have no influence on financial performance.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.27 no.6
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• pp.501-508
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• 2014

In this paper, a method on deducing the capacity spectrum based on nonlinear earthquake response analysis will be introduced. Damage assessment of general building draws the capacity spectrum through the Push-over analysis and the intersection point of capacity spectrum and demand spectrum is seen as performance point. Push-over analysis is the way to perform static analysis by using the equivalent static load changed from the effect of earthquake and predict the behavior of structures by earthquake. But, this method can not be taken into account in the effects of higher mode and the dynamic characteristic. Therefore, in order to calculate the capacity spectrum under dynamic properties of building. A capacity spectrum from going ahead with the nonlinear earthquake response analysis is suggested.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.15 no.4
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• pp.193-216
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• 2020

Due to the recent mid- to long-term slump and falling growth rates in the global economy, interest in organizational structures that create new products or services as a new alternative to survive and develop in an opaque environment both internally and externally, and enhance organizational sustainability through changes in production methods and business innovation is increasing day by day. In this atmosphere, we agree that the growth of small and medium-sized venture companies has a significant impact on the national economy, and various efforts are being made to enhance the technological innovation capabilities of the members so that these small and medium-sized venture companies can enhance and sustain their performance. The purpose of this study is also to investigate how the technological innovation capabilities of small and medium-sized venture companies correlate with the performance of knowledge management and to analyze the role of network capabilities to organize the strategic activities of enterprise to obtain the resources and organizational capabilities to be used for value creation from external networks. In other words, research was conducted on the impact of technological innovation capabilities of small and medium venture companies on knowledge management performance by using network capabilities as parameters. Therefore, in this study, we would like to verify the hypothesis that innovation capabilities will have a positive impact on knowledge management performance by using network capabilities of small and medium venture companies. Economic activities based on technological innovation capabilities should respond quickly to new changes in an environment where uncertainty has increased, and lead to macro-economic growth and development as well as overcoming long-term economic downturns so that they can become the nation's new growth engine as well as sustainable growth and survival of the organization. In addition, this study was conducted by setting the most important knowledge management performance within the organization as a dependent variable. As a result, R&D and learning capabilities among technological innovation capabilities have no impact on financial performance. In contrast, it was shown that corporate innovation activities have a positive impact on both financial and non-financial performance. The fact that non-financial factors such as quality and productivity improvement are identified in the management of small and medium-sized venture companies utilizing their technological innovation capabilities is contrary to a number of studies by those corporate innovation activities affect financial performance during prior research. The reason for this result is that research companies have been out of start-up companies for more than seven years, but sales are less than 10 billion won, and unlike start-up companies, R&D and learning capabilities have more positive effects on intangible non-financial performance than financial performance. Corporate innovation activities have been shown to have a positive (+) impact on both financial and non-financial performance, while R&D and learning capabilities have a positive (+) impact on financial performance by parameters of network capability. Corporate innovation activities have been shown to have no impact on both financial and non-financial performance, and R&D and learning capabilities have no impact on non-financial performance. It could be seen that the parameter effects of network competency are limited to when R&D and learning competencies are derived from quantitative financial performance. It could be seen that the parameter effects of network competency are limited to when R&D and learning competencies are derived from quantitative financial performance.

• Journal of Venture Innovation
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• v.1 no.1
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• pp.99-112
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• 2018

This study focused the effect of small business owner's competencies on business performance. Especially mediating effect of professional education between independent variables and dependent variables. As a result of statistical analysis, 3 hypothesis were accepted and 1 hypothesis was rejected. H1. The relationship between small business owner's managerial competencies and business performance was positive. H2. The relationship between small business owner's technological competencies and business performance was not valid. H3. Professional education was mediating effect between small business owner's competencies and financial performance. H4. Professional education was mediating effect between small business owner's competencies and non-financial performance. This study founded professional education was mediating effect, especially partial mediating effect between small business owner's competencies and financial performance, non-financial performance. This study provided logical background on government support of small business owner's professional education and small business owner's spontaneous participation in professional educations

• The Journal of the Korea Contents Association
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• v.22 no.10
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• pp.703-722
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• 2022

The concentration of local businesses in the capital region promotes a decrease in the local population and polarization between the capital region and non-capital regions. It affects the competitiveness of local industries and creates a vicious cycle throughout the local economy, society and culture. Therefore, this study classified the companies in the capital region and non-capital regions by group and examined the effect of the innovation capability factors of companies on the creation of business performance. We analyzed the effects of R&D capabilities, which are elements of innovation capability, and open innovation and convergence capabilities on business performance. Smart PLS 3.0 was used for analysis including direct and indirect mediating and moderating effects, multi-group analysis, and structural equation model analysis. As a result, R&D capability did not have a significant effect on business performance, but it has a positive influence towards business performance through convergence capability and open innovation. However, the effectiveness of open innovation in non-capital regions and convergence capabilities in capital region were not statistically significant. In particular, in terms of open innovation, as the difference between groups is statistically clear, follow-up measures are suggested especially in non-capital regions.