• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.8
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• pp.4961-4971
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• 2014

With regard to gaining employment for specialized high school graduates, what are the significant factors? Along with specialized high school's employment support, facility and subject support, vocational ability support, career guidance, and employment support are implemented at school. At the same time, individuals are learning career preparation behavior and job search behavior. Those factors influence the career maturity. Therefore, a question is, "Do they finally affect employment?" The independent variables were composed of satisfaction on school support, such as facility and subject support, career preparation behavior at home, pre-job search behavior, and career maturity. A structural equation was created and an analysis was conducted. As a result of the analysis, the satisfaction on school support has significant impacts on career maturity and career preparation behavior at home and influences on employment directly or indirectly. The career preparation behavior at home not only has a direct impact on employment, but also increases the pre- job search behavior and career maturity. In particular, it was confirmed that the career preparation behavior at home is the main factor to increase employment via the pre-job search behavior. Considering the effects among the factors in gender, the satisfaction on school support directly increases employment, particularly for women. Therefore, high-quality school support programs should be enhanced, focusing on employment support programs for women. In addition, as satisfaction on school support increases, women are more likely to undergo career preparation behavior at home. This suggests that the career preparation behavior for females, such as conversation about career, is a critical factor to increasing employment unlike males. Therefore, support programs for women that is aimed at parents should be developed.

• 대한공업교육학회지
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• v.41 no.1
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• pp.44-67
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• 2016

The purposes of this study were to measure resilience, major satisfaction and employment preparation of technical high school students, and to analyze the structural relationship among resilience, major satisfaction and employment preparation of them. The population was technical high school students. The study was carried out through questionnaire survey method. The survey questionnaire was sent by mail. A survey questionnaire consists of 38 items. 391 questionnaires were used for analysis. Both descriptive and inferential statistics were employed for data analysis. And the data was analyzed by using structural equation modeling to examine structural relationship. The results of this study were as follows: First, resilience of technical high school students was high. In the domain of resilience, 'diversity of interest' was the highest, and 'emotional management' was the lowest. And resilience of meister high school students was higher than that of specialized high school students. Resilience of male students was higher than that of female students. Second, major satisfaction of them was moderate. In the domain of major satisfaction, 'major prospect' was the highest, and 'satisfaction of societal dimensions' was the lowest. And major satisfaction of meister high school students was higher than that of specialized high school students. Major satisfaction of male students was higher than that of female students. Third, employment preparation of technical high school students was moderate. In the domain of employment preparation, 'employment attitude' was the highest, and 'job performance competency' and 'employment information' were moderate. And employment preparation of meister high school students was higher than that of specialized high school students. Employment preparation of male students was higher than that of female students. Forth, resilience of technical high school students had a positive effect on employment preparation. Also major satisfaction of them had a positive direct effect on employment preparation. And the mediating effect of major satisfaction was significant in pathway from resilience to employment preparation. Lastly, a multi-group analysis by school type revealed that the mediation effect of major satisfaction did not differ by school type.

• Journal of Service Research and Studies
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• v.1 no.1
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• pp.81-90
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• 2011

The unemployed graduates who got a higher education aggravate unstable employment in our society. However, the existing College of education in employment guidance course still get the effect of students' direct employment and the stale, simply an information delivery functionality of college students after graduation could not serve the needs of industries.. Thus, this paper suggests a mentoring service, which will be proceeding for career guidance and college life guidance. The expert and field evaluation were frequently executed so that the systematic and continuous mentoring activities to occur. These mentoring service model for work guidance are expected to improve the employment rate of University as well as to decline the rate of jobless.

• STI Policy Review
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• v.7 no.2
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• pp.85-105
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• 2016

This study compares the economic impacts among ICT sectors and derives strategic considerations for development of the ICT industry in Korea. Prior to analysis, this study classified ICT industry into four sectors: ICT equipment, components, service, and SW/system. This study conducted Input-Output Analysis on the four ICT sectors. An Input-Output Analysis is a quantitative economic technique that represents the direct and indirect interdependencies between different industries of a national economy. Features of each ICT sector were observed in the results. Within the ICT equipment sector, production is decreasing, import dependence is increasing, and employment size is very low, relative to the overall ICT industry. The component sector accounts for the over half of the output and value added of the ICT industry, but domestic production has recently declined. The subsector experienced decreasing production and increasing imports relative to the other ICT subsectors. In the service sector, output is small but its production and employment impact is very high. The fourth sector, ICT SW/system, has very low impact on production but high impact on employment. These features suggest two strategies to develop the ICT industry in Korea. First, the ICT component and service sectors should be promoted to stimulate growth of the national economy. Second, to encourage employment growth, policies should promote the ICT SW/system and service sectors.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.8 no.1
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• pp.143-150
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• 2007

Using a panel data of Korea for $1979{\sim}2002$, this study investigates the determinants of the service sector employment share in Korea. In order to analyze the impact of macroeconomic factors on the service sector's employment share we estimate a simple panel model which is in line with Baumol's model. The panel GMM estimation results show that: 1) The increase in the share of service-related jobs in total employment tends to rise with GDP per capita, which confirms demand-bias hypothesis proposed by Clark. 2) We find that a crucial role in this process has been played by the productivity gap. As Baumol's hypothesis or Baumolis disease, the expansion of the employment share in services relative to industry is the direct consequence of services' lower productivity performances.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.10 no.3
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• pp.75-83
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• 2015

This article investigates the impact of SMEs' R&D expenditure, government R&D funding, the number of funded by Government R&D programs on the employment growth rate. This study also explores whether government R&D funding and the number of funded by Government R&D programs have interaction effects between SMEs' R&D expenditures and the employment growth rate. The results show that SMEs' R&D expenditure and government R&D funding have a positive effect on the employment growth rate. The rest of variables have no significant direct effects on the employment growth rate. The government R&D funding has a interaction effect between SMEs' R&D expenditures and the employment growth rate. Especially, the firm group of high-level innovation capabilities has a positive effect on the employment growth rate. The results explain that the government R&D funding influences SMEs' employment positively and the impact of the government R&D funding on employment is more effective in the firm group of high-level innovation capabilities. Therefore, Government provides differentiation strategy of R&D funding by innovation capabilities of SMEs and can maximize the employment.

• Journal of the Economic Geographical Society of Korea
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• v.5 no.2
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• pp.249-275
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• 2002

Iksan Export Free Zone which was established for the export promotion, the employment augmentation, the technological improvement and the regional development promotion through the attraction of foreign direct investment is declining function with diminution of foreign direct investment, exportation and employment since the middle of the 1980s. The decline factor of the function was inherent in disregard of the necessary locational factors for Export Free zone's function promotion and without respect to conditions in a choice of location. And the present labor intensive industrial structure of region has some difficulties with a modification of Export Free Zone's industrial structure to a technology intensive industry. According to the lack of coherent policy, a limited plottage and a lack of the extensible space decrease the effect of agglomeration and economic of scale. And the lack of governmental policy to create a dynamic advantage comparative with an amelioration of the locational conditions of region diminish the regional attractive force to foreign direct investment.

• Asian Journal of Business Environment
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• v.8 no.4
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• pp.37-44
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• 2018

Purpose - The artificial intelligence industry plays an increasingly significant role in stimulating the development of United States of America's economy. On account of this background, this paper attempts to explore the impact of artificial intelligence industry on United States of America's macroeconomy. Research design, data, and methodology - This paper mainly focuses on the impact of artificial intelligence industry on GDP, employment, real income, import, export and foreign direct investment. Furthermore, the Phillips-Perron test and Canonical cointegrating regression will be employed to examine the impact of artificial intelligence industry on United States of America's macroeconomy with a sample form 2010-Q1 to 2017-Q4. Results - Via the empirical analysis, the results reveal that the artificial intelligence industry has a positive effect on United States of America's GDP, employment, real income, export and foreign direct investment. Conversely, the artificial intelligence industry has a negative effect on United States of America's import. Conclusions - In summary, the impact of artificial intelligence industry on United States of America's macroeconomy is positive and significant in statistics. Therefore, the government of United States of America should put more input into artificial intelligence industry.

• Korean Journal of Artificial Intelligence
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• v.6 no.2
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• pp.1-9
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• 2018

Recently, the rapid development of artificial intelligence industry has resulted in a great change in our modern society. Due to this background, this paper takes the United Kingdom as an example to explore the determinants of artificial intelligence industry in terms of United Kingdom's macroeconomics. The quarterly time series from the first quarter of 2010 to the fourth quarter of 2017 will be employed to conduct an empirical analysis under the vector error correction model. In this paper, the real GDP, the employment figure, the real income, the foreign direct investment, the government budget and the inflation will be regarded as independent variables. The input of artificial intelligence industry will be regarded as a dependent variable. These macroeconomic variables will be applied to perform an empirical analysis so as to explore how the macroeconomic variables affect the artificial intelligence industry. The findings show that the real GDP, the real income, the foreign direct investment and the government budget are the driving determinants to promote the development of artificial intelligence industry. Conversely, the employment figure and the inflation is the obstructive determinants to hamper the development of artificial intelligence industry.

• Steel and Composite Structures
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• v.42 no.2
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• pp.191-207
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• 2022

Undoubtedly, the employment of direct bond interaction between steel and concrete is preceding the other mechanisms because of its ease of construction. However, the large scatter in the experimental data about the issue has hindered the efforts to characterize bond strength. In the following research, the direct bond interaction and bond-slip behavior of CFTs with circular cross-section were examined through repeated load-reversed push-out tests until four cycles of loading. The influence of different parameters including the diameter of the tube and the use of shear tabs were assessed. Moreover, the utilization of expansive concrete and external spirals was proposed and tested as ways of improving bond strength. According to the results section dimensions, tube slenderness, shrinkage potential of concrete, interface roughness and confinement are key factors in a natural bond. Larger diameters will lead to a considerable drop in bond strength. The use of shear tabs by their associated bending moments increases the bond stress up to eight times. Furthermore, employment of external spirals and expansive concrete have a sensible effect on enhancing bonds. Macro-locking was also found to be the main component in achieving bond strength.