• Korea Trade Review
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• v.44 no.2
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• pp.239-267
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• 2019

The purpose of this study is to identify the effects of employment insecurity on organizational commitment and turnover intention, and mediating roles of conflict in Chinese enterprise workers. We examined the theoretical background and conducted an empirical study. The statistical analysis results revealed the following. First, employment insecurity has significant negative effects on organizational commitment and positive effects on turnover intention. Second, employment insecurity has significant positive effects on task and relationship conflicts. Third, task and relationship conflicts have positive significant effects on turnover intention. Fourth, intragroup conflicts (task and relationship conflicts) have partial mediating effects between employment insecurity and organizational commitment, and turnover intention, but task conflicts have no mediating effects between employment insecurity and organizational commitment. On the basis of the research findings, this paper discusses the theoretical and empirical implications of the research, and provides directions for future research.

• Journal of Korea Trade
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• v.24 no.8
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• pp.1-18
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• 2020

Purpose - This paper examines how differently output and input tariffs affect domestic employment across industrial characteristics of comparative advantage such as labor quality and capital intensity. Design/methodology - The paper focuses on 453 Korean industries from 2007 to 2014 because Korea is a typical example of a natural resource-scarce open economy and experienced the transition of the export pattern from labor intensity to technology intensity during this period. Findings - The results show that input tariff reduction stimulated total employment, focusing on the early 2010s, while the effects of output tariff reduction were statistically insignificant in general. However, the stimulation effects of output tariff reduction on employment were found in comparative advantage industries with greater labor quality and capital intensity. As for input tariff reduction, its stimulation effects on employment were more prominent in comparative disadvantage industries with lower labor quality and capital intensity. Originality/value - These results provide significant implications for natural resource-scarce open economies which are experiencing the transition of the export pattern from labor intensity to technology intensity and the unequal distribution of income after trade liberalization: imported intermediate inputs has become increasing important, leading to trade effects on employment and alleviation of income inequality.

• The Journal of Industrial Distribution & Business
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• v.14 no.6
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• pp.27-35
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• 2023

Purpose: Convergence and social ripple effects caused by the Fourth Industrial Revolution, which encompasses new technologies in various fields, will have a great impact on the beauty industry structure and market economy. This review reviewed the literature on the changes in the employment environment of the Korean beauty industry due to the 4th industrial revolution and the countermeasures of the beauty industry accordingly. Research design, data and methodology: Using the October 2022 PRISMA flowchart, it is a review of changes in the employment environment of the beauty industry, the need for human resource management of beauty workers, and the employment environment to be applied to the beauty industry in the future. Results: Changes in the employment environment in the era of the 4th Industrial Revolution, the current state of the beauty industry, and reviews on beauty industry workers were collected, and a direction for training beauty industry workers was presented. Conclusions: This study presented the direction of the beauty industry in preparation for changes in the employment environment of the 4th industrial revolution and suggested that research is needed to actively establish human resource management (HRM) to overcome the problem of fostering talent in the beauty industry.

• Information Systems Review
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• v.16 no.2
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• pp.77-95
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• 2014

From the success of TDX and CDMA to today's social media boom, Korea's ICT has achieved an amazing growth for the last couple of decades. However, in spite of ICT's role as an engine of growth in Korea, there have been concerns that ICT growth would negatively affect national employment due to the labor substitution effect. While some scholars insist that ICT would positively affect employment because it will enlarge the size of industry itself, many people blame ICT as a main culprit of rising unemployment rates. In this study, we try to empirically find the true effect of ICT growth on employment in Korea. We use the data of ICT productions, ICT investments, and various industries employments from 1995 to 2011. The methodologies we adopted for this study is Granger causality tests and impulse response functions based on vector autoregression (VAR) model. We find that ICT has negative impact on service industries, while it has positive impact on manufacturing industries. Meanwhile, ICT has no statistically significant impact on ICT industry itself. Since the impacts of ICT on employment are mixed, we can argue that ICT should not be blamed for the main cause of low employment. We suggest a direction of future policies to utilize ICT for vitalizing employments in Korea.

• The Journal of the Convergence on Culture Technology
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• v.10 no.2
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• pp.187-199
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• 2024

Due to the educational ecosystem in South Korea, there is a significant need to explore a new balance for students who pursue sports rehabilitation education based on their academic performance, in order to help them adapt to their majors, find career paths, and foster motivation for employment. There is a lack of related research in this crucial phase. The purpose of this study is to ascertain the impact of sports rehabilitation education on career aspirations and employment motivation through psychological reactions. The research methodology involved conducting an online survey from December 11th to December 28th, 2023, targeting university students undergoing sports rehabilitation education, with a final collection of 212 survey responses used for analysis. The research findings indicate: firstly, that the knowledge of sports rehabilitation educators has a positive influence on voluntary psychology. Secondly, the competence of sports rehabilitation educators has a positive impact on voluntary psychology. Thirdly, the attitude of sports rehabilitation educators negatively affects involuntary psychology. Fourthly, voluntary psychology positively influences career aspirations. Finally, voluntary psychology positively influences employment motivation, while conversely, involuntary psychology negatively affects employment motivation. These research results are expected to contribute to the development of sports rehabilitation education that influences career paths and employment motivation through psychological reactions.

• 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 Technology Innovation Society
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• v.14 no.2
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• pp.223-245
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• 2011

We have analysed the impact of innovation on the employment in the Korean Service sector using KIS 2006 data. Our study is based on Bogliacino and Pianta (2010)'s model, which involves two main innovation strategies, technological competitiveness and cost competitiveness, as the main explanatory innovation variables for the employment dynamics. Empirical results show that an increase in demand was the strongest driver for an increase in employment in all four service sectors, including Science-based, specialized supplier, size and information intensive, and supplier dominated. Innovation strategy appeared to have a significant effect on employment at the firm level; Technological competitiveness showed a positive effect on employment in science based sector while cost competitiveness appeared to give a negative effect in specialized supplier sector. The firms in size and information intensive sector showed that increase in wages gives negative impact on their employment. However, cost competitiveness did not give any significant effect on employment dynamics of firms in size and information intensive sector and supplier dominated sector. This finding is different from the research of Bogliacino and Pianta (2010) on the European countries. One possible explanation would be that innovation strategy does not affect employment of firms in size and information intensive sector and supplier dominated sector since the level of innovativeness of these sectors in Korea fall behind that of European countries.

• Architectural research
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• v.21 no.2
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• pp.41-48
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• 2019

The purpose of this study is to research and development of 'Korea B(Benefit)-impact Model' for Sustainable Development. A concept evaluation model is 'B(Benefit)-impact model' in U.S.A. We use the results of surveys that examined the importance of social value issues to stakeholders in Korea to implement the benefit-impact model in Korea. In particular, in this paper, we use the KSI(Korean Sustainability Index) survey data conducted by the Korea Standards Association to evaluate the social value of the construction industry for representative stakeholders in the construction industry. The social value pool and the activity indicator pool used for the survey are created based on relevant International Standards; ISO 26000, ISO 14001, ISO 37001. As a result, Korea B-impact model for construction industry included the following five core social value issues; Strengthen transparency of corporate management, Ensure fair employment and employment relations, Efforts to prevent corruption, Conduct fair competition, Efforts to prevent environmental pollution. In addition, the US B-impact model has three limitations. First, it is unclear whether the key indicators have been derived while considering all issues of social value. Second, US B-impact model indicators are developed by the social responsibility experts, so it is necessary to review by stakeholders in each industry. Finally, it would be more effective for companies to use the B-impact model index as a more detailed activity indicator. When developing a Korea B-impact model, the following methods are used to supplement it. First, we reviewed all social value issues using international standards. Secondly, we used the KSI(Korean Sustainability index) survey results to derive the importance of the social value issue of construction industry in Korea. Finally, we have clearly matched the activity indicators by social value core issues based on the GRI Standard so that companies can actually use the Korea B-impact model for the construction sector. The detailed development stages and results of this study are as follows;.

• Fashion & Textile Research Journal
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• v.25 no.5
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• pp.634-642
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• 2023

This study aimed to investigate the influence of career barriers on employment decisions among high school students specializing in beauty-related field. The subjects of this study were 339 students attending beauty-specialized high schools in Gwangju Metropolitan City and Jeollabuk-do, and a self-written questionnaire was employed for conducting the research. This survey was conducted from April 4 to April 18, 2022. A total of 380 questionnaires were distributed, and 350 responses were collected. Of these, 339 questionnaires were considered for the final analysis, as the remaining 11 had incomplete or insincere responses. The results of this study are summarized as follows. First, the career barriers affecting high school students in beauty-specialized schools were categorized into eight factors: lack of interest, economic difficulties, financial support, interpersonal challenges, job information, anxiety about future, conflict with others, and lack of self-clarity. Second, when assessing the impact of career barriers on employment decision-making, it was observed that the level of employment decision-making had a statistically positive (+) effect, and the lack of interest had a negative (-) effect on the level of employment decision-making. Next, the significance of the regression model, considering the specific factors of career barriers in relation to employment confidence, was established as p<.001. Variables such as a lack of interest, limited access to job information, and lack of self-clarity had a negative (-) effect on the level of employment confidence, with a significance level of 0.05.

• Korean Journal of Occupational Health Nursing
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• v.32 no.4
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• pp.215-224
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• 2023

Purpose: This study uses data from the 12th~17th Korea Welfare Panel (2017~2022) to analyze changes in depression scores due to the COVID-19 outbreak and the factors that influenced depression scores according to employment type. Methods: The difference in depression scores according to employment types before COVID-19 (12th~14th) and after COVID-19 (15th~17th) was analyzed. A fixed-effect model analysis was conducted before and after the occurrence of COVID-19. Results: After the outbreak of COVID-19, job satisfaction and family life satisfaction influenced the depression scores of regular wage workers. After the outbreak of COVID-19, annual income, health status, and satisfaction with family life affected the depression scores of non-regular wage workers. After the outbreak of COVID-19, leisure life satisfaction and family relationship satisfaction influenced the depression scores of self-employed. Self-esteem played a role as a control variable in lowering the depression scores of regular and non-regular workers, but did not play a role as a control variable for self-employed. Conclusion: Rather than the direct impact of infectious diseases such as COVID-19, social and economic changes resulting from policies implemented to prevent the spread affect workers' depression, and the impact varies depending on the type of employment. When implementing policies to prevent the spread of infectious diseases in the future, policies that take employment type into consideration rather than uniform policies should be prepared, and measures for mental health also need to be prepared.