• Korean Journal of Construction Engineering and Management
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• v.20 no.1
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• pp.73-85
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• 2019

Since the beginning of a new century, many Korean construction and engineering companies are facing a very dynamic and fast changing business environment which includes severe competition, higher risk, economic depression, declining revenues and profits, etc. In order to cope with these challenges, they need to secure special capabilities to actively adapt to the paradigm changes. One of those capabilities could be project management capability which allows us to manage organizational resources dynamically and integratively based on project portfolio management concept. The objective of this study is to investigate how the dynamic capability of a project-based organization to control the resource affects the firm performance and the competitive advantages. Data was collected from the construction and engineering companies in South Korea by using survey questionnaire, and analyzed for empirical tests by using statistical methods such as structural equation modelling and path analysis. The results showed that the organizational resources, if they had the VRIN characteristics, would have positive impacts on creating the dynamic capabilities for project organization. In turn, the dynamic capabilities of a project organization would have impacts on improving business performance and creating competitive advantages. Also, it was found that the organizational resources may have direct impact on business performance and competitive advantages. The academic contribution of this study is that it attempts to integrate resource based view and the dynamic capability theory about creating competitive advantages for project based organization. This study also provided practical implications to the companies in construction industry by showing how to use organizational resources strategically to create competitive advantages.

• The Journal of the Convergence on Culture Technology
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• v.4 no.4
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• pp.77-87
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• 2018

The study was a mixed design study that analyzed the effects of developing and applying a program to improve pregnancy recognition for severe low fertility. The study period was from April 1, 2018, to October 26, 2018, and the participants included 16 women of 19~21 age who lived in M City and M Gun. The process of program development is based on Dorothy Johnson 's theory of behavior system to induce change of perception, and reference literature review and national policy report. The program developed through the literature was finally developed by examining the experts panel discussion after deriving causes and alternatives for low fertility from 25 fertility women. The contents of program consist of three areas. Quantitative research results were analyzed using Shapiro Wilk and Wilcoxon sign rank using SPSS 18.0, and qualitative research results were analyzed using focus group. As a result of study, the perception of pregnancy increased significantly (P<0.01) with statistical significance as pre-experimental (M=3.21, SD=.342), post-experimental (M=4.46, SD=.398) and the result of content analysis appeared three themes as , , . In conclusion, the program was effective in improving the recognition of pregnancy for young women.

• Journal of Convergence for Information Technology
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• v.9 no.6
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• pp.1-6
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• 2019

In this study, the development of a weight estimation model of electronic scale with nonlinear characteristics is presented using polynomial regression analysis. The output voltage of the load cell was measured directly using the reference mass. And a polynomial regression model was obtained using the matrix and curve fitting function of MS Office Excel. The weight was measured in 100g units using a load cell electronic scale measuring up to 5kg and the polynomial regression model was obtained. The error was calculated for simple($1^{st}$), $2^{nd}$ and $3^{rd}$ order polynomial regression. To analyze the suitability of the regression function for each model, the coefficient of determination was presented to indicate the correlation between the estimated mass and the measured data. Using the third order polynomial model proposed here, a very accurate model was obtained with a standard deviation of 10g and the determinant coefficient of 1.0. Based on the theory of multi regression model presented here, it can be used in various statistical researches such as weather forecast, new drug development and economic indicators analysis using logistic regression analysis, which has been widely used in artificial intelligence fields.

• Journal of Digital Convergence
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• v.19 no.8
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• pp.21-32
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• 2021

The government is focusing its attention and support on start-ups. Nevertheless, there is anxiety and fear about starting a business at the base of public awareness. Experienced as a way to overcome fear and difficulty. Few prior studies have been done on experience factors as ones influencing entrepreneurial intention. In this study, I studied whether the experience of successful entrepreneurship through cultural indirect experience affect the resolution of fear about establishing a business. Among the influencing factors on the entrepreneurial intention, business motivation, social support and awareness of entrepreneur were selected as independent variables. In addition, by applying the cultivation theory, the drama role models were set as a controlling variable. For empirical analysis, a survey was conducted targeting 399 ordinary persons. The hypothesis was tested through regression analysis using the SPSS 23 statistical package. The moderating effect was analyzed using Process Macro 3.5. Self-fulfillment, livelihood, economic motivation, social support, and awareness of entrepreneur are sub-factors of business motivation, And all of these had a positive significant effect on entrepreneurial intention. Among the significant variables, self-fulfillment was found to have the greatest effect. On the other hand, as a result of analyzing the moderating effect of the drama role model, it was found play a role in controlling between self-fulfillment and entrepreneurial intention, between livelihood and entrepreneurial intention, and between awareness of entrepreneur and entrepreneurial intention. Based on these research results, academic and practical implications were presented.

• Journal of Digital Convergence
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• v.17 no.11
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• pp.71-79
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• 2019

The purpose of this study is to examine the mediating effect of depression on the relationship between assets and life satisfaction in Korean elderly (45 years old or older). To this end, we used the data from the KReIS 5th Main Survey (2013). SPSS 21.0 and AMOS 25.0 were used for data analysis. The analysis methods were descriptive statistical analysis, correlation analysis, regression analysis and path analysis. As a result of the analysis, first, the assets of middle-aged and old age had a negative effect on depression, and the depression had a negative effect on life satisfaction. Second, the assets of the elderly have a positive effect on the satisfaction of life. Third, the effects of assets on the satisfaction of life were found to be mediated by depression of middle-aged people. Based on the analysis results, this study suggested the introduction of middle age generation's asset formation support program, the universal implementation of basic pension for the elderly generation, and the gradual increase in benefits.

• Korean Journal of Optics and Photonics
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• v.31 no.6
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• pp.247-258
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• 2020

In this paper, based on a stochastic parallel gradient descent (SPGD) algorithm we study phase control of a coherent-beam-combining system under turbulent atmospheric conditions. Based on the statistical theory of atmospheric turbulence, we carry out the analysis of the phase and wavefront distortion of a laser beam propagating through a turbulent atmospheric medium. We also conduct numerical simulations of a coherent-beam-combining system with 7- and 19-channel laser beams distorted by atmospheric turbulence. Through numerical simulations, we characterize the phase-control characteristics and efficiency of the coherent-beam-combining system under various degrees of atmospheric turbulence. It is verified that the SPGD algorithm is capable of realizing 7-channel coherent beam combining with a beam-combining efficiency of more than 90%, even under the turbulent atmospheric conditions up to cn2 of 10-13 m-2/3. In the case of 19-channel coherent beam combining, it is shown that the same turbulent atmospheric conditions result in a drastic reduction of the beam-combining efficiency down to 60%, due to the elevated impact of the corresponding refractive-index inhomogeneity. In addition, by putting together the number of iterations of the SPGD algorithm required for phase locking under atmospheric turbulence and the time intervals of atmospheric phenomena, which typically are of the order of ㎲, it is estimated that hundreds of MHz to a few GHz of computing bandwidth of SPGD-based phase control may be required for a coherent-beam-combining system to confront such turbulent atmospheric conditions. We expect the results of this paper to be useful for quantitatively analyzing and predicting the effects of atmospheric turbulence on the SPGD-based phase-control performance of a coherent-beam-combining system.

• Journal of Korea Society of Industrial Information Systems
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• v.25 no.6
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• pp.171-192
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• 2020

The purpose of this study is, first, to empirically verify the relationship between the influences of the start-up performance and the inherent fear factor of failure on the start-up performance through the preparation of the start-up. Second, this study aims to prove the influence of the moderating effect of social support on the relationship between start-up preparation and the burden of start-up failure. The research subjects were sampled and analyzed by 298 start-ups who are currently starting their own businesses. This study founds that preparation of start-up items, which is a subordinate theory of start-up preparation, had a significant effect on start-up performance, and that anxiety about failure had a significant effect on start-up performance. Using the SPSS statistical program, the hierarchical regression analysis proved the moderating effect of social support in the relationship between star-tup preparation, start-up failure burden and startup performance. Furthermore, the moderating effect of social support among start-up preparation, start-up failure burden and start-up achievement was analyzed, but no significant results were found for start-up failure burden. Besides, the effect of the opposite concept of independent variables on the dependent variables at the same time is to be analysed.

• The Journal of the Convergence on Culture Technology
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• v.8 no.6
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• pp.971-978
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• 2022

As a marketing method in a non-face-to-face society, the purpose of this study is to test how AR experience affects purchase intention in the process of consumers recognizing product information to purchase products and to secure the basis for the effectiveness of developing and introducing augmented reality functions in future product brand applications. Literary research methods and empirical research methods were used to verify the research purpose, and to measure this, an application of domestic tableware brand 'Odense', which implements augmented reality functions, was produced and used as an experimental tool. Also, a direct causal relationship was attempted by constituting a questionnaire by deriving a measurement scale for perceived usefulness, perceived ease, perceived pleasure, and purchase, which are factors of technology acceptance theory (TAM), and empirical analysis was conducted using the SPSS 25.0 statistical package to achieve the purpose of the study. As a result of the study, significant results were derived from all factors in the effect of perceived usefulness, ease, and pleasure on purchase intention, and several significant differences were found among factors according to gender, age, and internet shopping usage time in general characteristics. In conclusion, the user experience of the medium in which the augmented reality function is introduced in the information recognition stage of the product has a positive effect on purchase compared to the user experience of existing applications.

• Korean Journal of Social Welfare Studies
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• v.42 no.2
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• pp.5-39
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• 2011

The objective of this study is to survey Social Participation of the Elderly's quality of life according to their activity levels and examine the differences by their gender and age. The subjects of this study were elderly aged 60 or older who are living in the metropolitan area and those reportedly participating in various social activities at the time of the survey. A total of 586 cases were used for the analysis. Data were analyzed through multi group analysis using a structural equation model, and AMOS 7.0 was used in statistical processing. The results of this study showed that, first, the quality of life was significantly and positively affected by flow experiences in economic participation, social fellowship participation, and self development participation. Second, the results of multi group analysis on the relations between the social participation level and the quality of life according to gender demonstrated that the there were gender differences on the full path model, and that there were significant differences in relationships between the volume of social fellowship participation and the quality of life between men and women. Third, a similar finding was found for the age group that the paths between flow experiences in economic participation and the quality of life significantly differed by age groups. Based on these findings, implications for theory and practice were discussed.

• Korean Journal of Social Welfare Studies
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• v.41 no.2
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• pp.67-99
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• 2010

Previous studies indicate that depression is strongly correlated with suicide, suggesting that individuals with higher levels of depression are more likely to commit suicide. Statistical data, however, show that depression is more prevalent among females whereas suicidal incidents are much higher among males. Using the 1st Seoul Welfare Panel Data, this study aims to examine the association between depression and suicidal attitudes and further examine whether there is gender and age difference in the relationship. Sample consists of 7,396 individuals aged 18 and over. Research questions were answered through the structural equation modeling(SEM) and multi-group SEM. The results showed that (1) depression is significantly associated with suicidal attitudes, replicating the previous findings, (2) the association was much higher among males than females, suggesting that depressed males are more vulnerable to suicide than depressed females, and (3) the gender difference was primarily caused by the group of women aged 65 and over. Based on these findings, implications for theory and practice were discussed.