• Journal of Service Research and Studies
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• v.7 no.3
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• pp.57-70
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• 2017

It is anticipated that the employment structure of the whole industry will change drastically as the Fourth Industrial Revolution era arrives. Particularly, there are numerous reseraches that the development of artifical intelligence will promote automation causing jobs in manufacturing industry to decrease; thus, the economy will be reorganized with service-centered jobs, which heavily depend on human ability. This study was conducted to verify the trend-forecasting model based on the theoretical analysis. We analyzed the change in employment structure over the past decades in each country and period to gain insights from the changes in the employment structure caused by the Fourth Industrial Revoltion. The results of this study are as follows: First, we investigaed whether the current economy is moving along the U-shaped model suggested by an existing researcher. As a result of the analysis, the data substantiated that the change of the employment structure is moving along the U-shaped model. It is also suggested that this U-shaped trend is expected to accelerate in the era of the Fourth Industrial Revolution. In the future, more accurate data analyses are needed to verify the model, and additional researches on the change in the employment structed is also needed.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.13 no.1
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• pp.72-80
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• 2020

The information security industry is increasing in importance and market size due to the development of the fourth industry such as artificial intelligence, IoT and etc. This paper was analyzed the impact of the increasing information security industry on the domestic economy by using the Input-Output table. It was classified industrial sectors into information security products and information security services industries, and then reclassified the Input-Output table into 35 industries. And it was estimated the production inducement coefficient, the value-added inducement coefficient, employment inducement coefficient, and etc. The production inducement coefficients of the information security product and service industry are each 1.571, 1.802, and the value-added inducement coefficients of them are each 0.632, 0.997, and the employment inducement coefficients of them are each 2.494, 7.361. Only the value-added inducement coefficient of the information security service industry is slightly higher than the total industry, and the remaining inducement coefficients are all lower than the total industry. In addition, the information security product industry has no the forward and backward linkage effect, and the information security service industry has no the backward linkage effect. But it has the forward linkage effect. As a result of analyzing the economic ripple effect of the information security industry, the production inducement amounted to 359.9 trillion won, value-added inducement amounted to 164.8 trillion won, and employment inducement amounted to 803 thousand people.

• Journal of Family Resource Management and Policy Review
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• v.8 no.1
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• pp.79-100
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• 2004

This study attempted to examine the employment instability on consumer's use of credit as a financing medium. The purpose of this study was 1) to examine the effect of employment related factors on consumers' use of credit; 2) to compare the results between the two different economic situations. A conceptual framework was developed based on the permanent income hypothesis, family stress theory, and the previous empirical studies. Using data on working households ih the 1992 and 1998 Survey of Consumer Finances (SCF), double-hurdle analyses were conducted. The results suggested that employment related factors that measured employment stability were significantly related to the likelihood of having an outstanding balance on their credit account but were not the influential factors in determining the amount of the outstanding balance. Among other factors, resources factor played the most significant role in determining both the likelihood of having an outstanding balance and the amount of the balance. Although the 1992 and 1998 data represent economic downturn and economic prosperous period, the effects of the factors including employment instability factors were similar between the two periods. This imply that employment instability has increased even in the economic prosperous period. From the findings, several implications for policy makers, credit industry, and financial educators were suggested.

• Journal of Climate Change Research
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• v.7 no.1
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• pp.59-68
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• 2016

The world's major countries have focused on the renewable energy industry as the solution to climate change and the energy crisis. Nevertheless, there are no studies on the economic effects of the renewable energy industry. This study analyzed the economic effects of Korea's renewable energy industry by using the 2010 Input-Output Table. It is estimated that Korea's renewable energy industry made a production-induced effect of 2.0262 won, and a value-added-induced effect of 0.6138 won through an increase in output growth of 1 won, and an employment-induced effect of 2.3046 labors through an increase in output growth of 1 billion won. Both the effect ratio and the response ratio were greater than 1, which means the renewable energy industry is an intermediate manufacturing industry whose forward linkage effect and backward linkage effects are large. These results show differences with previous studies that classified electricity sector and renewable energy industry into final primary production industries. It is expected that the economic effects of the renewable energy industry will become greater in the future. Therefore, research on statistics related to the renewable energy industry is needed for more precise analysis.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.5
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• pp.1031-1039
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• 2015

This study examines the economic ripple effect on the domestic information security manufacturing and service sectors through input-output analysis. The production inducement coefficient of the manufacturing sector is bigger than the average of whole industry, but that of the service sector is smaller than the average. On the other hand, the service sector is superior to the manufacturing sector in the value added and employment inducement coefficients. Forward and backward linkage effects of manufacturing and service sectors are generally lower than those of the average of whole industry. The information security industry has insignificant contribution to national economy and employment growth overall. In particular, the manufacturing sector records minus contribution to employment growth, which means that a lot of effort for increasing employment must be given further on in the sector.

• Journal of Information Technology Applications and Management
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• v.20 no.4
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• pp.83-95
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• 2013

This study aims to analyze factors that affect satisfaction of students in employment-contract information technology master programs, and suggest policy implications to improve management of employment-contract master programs. A survey of students supported by Software master program of National IT Industry Promotion Agency (NIPA) and Knowledge Information Security master program of Korea Internet and Security Agency (KISA) indicates that department administration, department vision, scholarship, adviser, and lecturer affect satisfaction of students in employment-contract master programs in listed order.

• Journal of Industrial Convergence
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• v.2 no.1
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• pp.187-216
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• 2004

After Asian financial crisis hit the Korea, Korean government and Korean firms need to restructure their system. Specially financial sector has to renew its system. One way renew its system was adjust company's labor system. The forms of labor adjustment are external numerical flexibility, externalization, internal numerical flexibility, functional flexibility and wage flexibility. These five forms based on two big categories which are wage flexibility and employment flexibility. This study only focus on th effect of employment flexibility in financial sector in Korea. Employment flexibilities can be practice as employment adjustment. Also we concentrate on separation and re-accessors to other financial institute after the separation. The result shows that Korean financial sector are in the range of 10.78% and the job destruction rates are about 11.26%. During the period from year 1998 to year 2002, the numbers of accession has down about 30%. The logit statistical analysis for separation shows that demographical variables and the reasons of separation affected separation and reemployment.

• New & Renewable Energy
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• v.16 no.2
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• pp.28-34
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• 2020

The South Korean government invested about 560 billion won in research and development in the wind power sector over 30 years from 1989 to 2019. In addition, the government has been setting up conditions for the country's wind industry to grow through various policies, including the RPS (Renewable Energy Portfolio Standard). As a result, the size of Korea's wind industry has grown to 1.1 trillion won in annual sales and there are 2,000 people working in the wind energy sector. While the domestic market is weak due to the small size of Korea and there are problems with the NIMBY, the government has continued to support technology developments and support market policies. Despite insufficient performance in overseas markets, the effect of the government is still significant on the growth of the wind industry. In particular, the government's R&D investment program, which focuses on enhancing companies' competitiveness, has spurred job creation in the wind industry and a stable research environment for researchers. In this study, we compared the differences between methods of investigating employment statistics in Korea and those of other countries. We also proposed effective investment measures for the government by analyzing the investment effects according to value chain and types of organization.

• 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.

• Journal of Korea Entertainment Industry Association
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• v.14 no.5
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• pp.229-243
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• 2020

This study selected a total of 19 studies using databases of PubMed, SAGE Journal, and Wiley Online Library from 2000 to 2019 to find out about vocational rehabilitation of patients with schizophrenia in the area of overseas occupational therapy. First, the quality level of the study was all Level I. Second, the diagnosis for participants of the studies other than schizophrenia had the most schizoaffective disorder. Third, by types of interventions, 11 papers, the largest, were about social skills and cognitive rehabilitation training plus supported employment, followed by 4 about supported employment and 3 about social skills and cognitive rehabilitation training, 1 about other vocational approaches. Regarding studies showing effects in the employment rate by interventions type following three types of employment, as the most effective of studies, they were social skills and cognitive rehabilitation training plus support employment in competitive employment, social skills and cognitive rehabilitation training in non-competitive employment, and support employment in paid employment. Fifth, looking at the studies trend in the last 5 years, the most studies were social skills and cognitive rehabilitation training plus supported employment. Since this study classified the types and effects of vocational rehabilitation for patients with schizophrenia based on previous overseas studies, it is hoped that this study will be provided as basic data for understanding vocational rehabilitation of schizophrenic patients and applying them in domestic clinical settings.