• Title/Summary/Keyword: unemployment rates

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Comparative Analysis of Job Satisfaction Factors, Using LDA Topic Modeling by Industries : The Case Study of Job Planet Reviews (토픽모델링 기법을 활용한 산업별 직무만족요인 비교 조사 : 잡플래닛 리뷰를 중심으로)

  • Kim, Dongwook;Kang, Juyoung;Lim, Jay Ick
    • Journal of Information Technology Services
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    • v.15 no.3
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    • pp.157-171
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    • 2016
  • As unemployment rates and concerns about turnover keep growing, the need for information is also increasing. In these situations, the job reviews which share information about the company catch people's attention because they are usually created by people who worked at the company. The development of SNS and mobile environments has led to an increase in the web services that provide job reviews. For example, Jobplanet is a job review service in Korea, and Glassdoor.com offers a similar service in the US. Despite this attention, however, research utilizing job reviews is insufficient. This paper asks whether there are differences in ratios of job satisfaction factors by industry, using LDA topic modeling and co-occurrence analysis to explore the differences. Through the results of LDA, we find that the ratios of job satisfaction factors are similar by industry. At the same time, the results of co-occurrence analysis show that the co-occurrence frequency of some job satisfaction factors appears high: pay and welfare, balance of work and life, company culture. We expect that the result of this research will be helpful in comparative analysis of job satisfaction factors by industry. Furthermore, in this paper we suggest how to use the job review data in organizational behavior research.

How Does Economic News Affect S&P 500 Index Futures? (거시경제변수가 S&P 500 선물지수에 어떤 영향을 미치는가?)

  • So, Yung-Il;Ko, Jong-Moon;Choi, Won-Kun
    • The Korean Journal of Financial Management
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    • v.13 no.1
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    • pp.341-357
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    • 1996
  • Some empirical studies have shown that asset prices respond to announcements of economic news, however, others also have found little evidence. This study assesses how market participants of the S&P 500 Index Futures reacted to the U.S. economic news announcements. For this purpose, using a GARCH (Generalized Autoregressive Conditional Heteroscedasticity) model, we use several U.S. news variables, its each surprise component and interest rates. We find that some economic news variables affected significantly on the S&P 500 Index Futures. In other words, we find that weekend variable, lagged volatility, and surprise component of trade deficit increased level of volatility. However, interest rate, M1, unemployment announcements caused the variance of the S&P 500 Index Futures to reduce, and each of the surprise component of M1 and trade deficit increased it. The result suggests that resolution of uncertainty, through economic news announcement, while, in some cases, causes market participants to reduce their forecast of volatility, a large difference between the market's forecast and the realization of the series causes the volatility to increase.

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A Study on the urban Characteristics of Design for Urban Regeneration based on Cultural Strategy -Focused on the case of Ruhrgebiet, Germany- (문화주도형 도시재생의 계획적 특성에 관한 연구 -독일 루르지역의 주(州)정원박람회를 중심으로-)

  • Park, Jong Ki
    • KIEAE Journal
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    • v.13 no.4
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    • pp.75-86
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    • 2013
  • Under the powerful influence of economical and social transformation, namely Post-Industrialization since the 1980's, old industrial cities in western europe faced a severe urban crisis such as high unemployment rates, demographic decline, urban slums, lack of infrastructures and economic shocks. In order to overcome their urban decline, They had to attempt to find a creative re-modelled and re-imaged Urban Development Strategy for the future. Thus Urban Regeneration has been a serious issue of debate in europe. First of all, Urban Regeneration based on cultural strategy have played an increasingly important role in the Post-Industrial cities and regions since 1980's. The purpose of this study is to find out the organized characteristics of Urban Regeneration based on Cultural Strategy by analyzing successful overseas case "Landesgartenschau in Ruhrgebiet, Germany, where has been changed from an old industrial city to a Culture-Service- based City significantly over last several years. It's inner-city old industrial areas with amount of derelict under-used industrial Heritages have been remodelled and reimaged to a creative and attractive public spaces involving Arts and cultural activity by Urban Regeneration based on Cultural Strategy, namely, "Landesgartenschau".

Visualizing Korean economic statistics (우리나라 경제통계 시각화의 현황과 과제)

  • Lee, Geung-Hee
    • Journal of the Korean Data and Information Science Society
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    • v.28 no.6
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    • pp.1313-1325
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    • 2017
  • Economic statistics such as GDP, consumer prices, balance of payments, and unemployment rates are regularly measured over time. One of the best way to understand economic statistics is to visualize economic statistics as a picture. This makes it easier to grasp patterns of economic statistics and to communicate with users. The web technologies and the visualization tools make it possible to create dynamic and interactive visualization of economic statistics. Statistics Korea and the Bank of Korea provide various data visualization relating to official statistics such as infographics and dynamic charts. This paper presents an overview of visualization of Statistics Korea and the Bank of Korea. It also discusses a future direction to explore the visualization of Korean economic statistics.

An Analysis of Job Creation Effects by Increasing Commercial Software Maintenance Rate (상용SW 유지관리 요율 상향에 따른 일자리 창출 효과 분석)

  • Lim, Gyoo Gun;Noh, Jong Hwa
    • Journal of Information Technology Services
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    • v.20 no.4
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    • pp.23-33
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    • 2021
  • The prolonged coronavirus 19 (COVID-19) has caused serious problems such as job losses and youth unemployment, but as the fourth industrial revolution and digital transformation accelerate, the importance of SW is highlighted and more qualified jobs are expected in the SW industry. However, domestic SW companies are having difficulties in not properly recognizing the value of SW products. Among many related issues, commercial SW maintenance-related issues are representative, and the main problem is the difference in the maintenance fee rates between domestic and foreign SW. In this study, the expected job creation effect when the SW maintenance rate is raised was analyzed using data related to the SW industry and commercial software. As a result of the analysis, the amount required to raise the commercial SW maintenance rate by 1% is 162 billion won. If all of these are used for employment, the expected new job creation effect is 3,240 jobs per year, and 15,451 jobs are created per year when calculated and estimated as the effect of increasing sales through the employment inducement coefficient. In addition, the amount required to raise the current average maintenance rate of 11.1% to 15% is 631.9 billion won, and it was possible to estimate the effect of creating jobs for 12,648 people based on the simple average wage and 60,259 people from the sales increase effect.

A Research on stock price prediction based on Deep Learning and Economic Indicators (거시지표와 딥러닝 알고리즘을 이용한 자동화된 주식 매매 연구)

  • Hong, Sunghyuck
    • Journal of Digital Convergence
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    • v.18 no.11
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    • pp.267-272
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    • 2020
  • Macroeconomics are one of the indicators that are preceded and analyzed when analyzing stocks because it shows the movement of a country's economy as a whole. The overall economic situation at the national level, such as national income, inflation, unemployment, exchange rates, currency, interest rates, and balance of payments, has a great affect on the stock market, and economic indicators are actually correlated with stock prices. It is the main source of data for analysts to watch with interest and to determine buy and sell considering the impact on individual stock prices. Therefore, economic indicators that impact on the stock price are analyzed as leading indicators, and the stock price prediction is predicted through deep learning-based prediction, after that the actual stock price is compared. If you decide to buy or sell stocks by analysis of stock prediction, then stocks can be investments, not gambling. Therefore, this research was conducted to enable automated stock trading by using macro-indicators and deep learning algorithms in artificial intelligence.

The Effects of Private Income Transfers' Reducing Poverty in Korea (사적 소득이전의 빈곤완화 효과)

  • Son, Beyong-Don
    • Korean Journal of Social Welfare
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    • v.39
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    • pp.157-179
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    • 1999
  • This study is an empirical research to analyze how many private income transfers in Korea decrease poverty rate, to compare the effects of private income transfers' decreasing poverty rate with income classes. This study has utilised the Family Income and Expenditure Survey to estimate the poverty ratio in urban areas and Unemployment Household Survey which Korea Institute for Health and Social Affairs has investigated at 1998. Majour findins are these. First, Sizes of private transfers incomes are much than that of public transfers incomes. The rates in receiving private transfers income are ten times higher than that in receiving public transfers income among urban worker's household. The mean of private transfer income are about six times larger than that of public transfer income among urban worker's household. Second, the effects of private income transfers' reducing poverty rates are not large. After private transfers, urbarn workers' households are about 10 per cent away from its poverty line, and unemploy households are only 3 per cent away from its poverty line. Third, especially, private income transfers are hardly reducing poverty rates among extreme poverty class. After private transfers, urban workers' households which their incomes are within low 5%, are not away from its poverty line at all.

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Improvement Device on Scope of Practice of Paramedic in the Emergency Medical Service's Act (응급의료에관한법률에 따른 1급 응급구조사 업무범위의 개선방안)

  • Koh, Jae-Moon;Kim, Jin-Hwoi;Jo, Jean-Man
    • The Korean Journal of Emergency Medical Services
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    • v.11 no.3
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    • pp.17-30
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    • 2007
  • Accidents occur frequently and that the date of the emergency situation and the people a good quality of life to actively respond to the emergency scene in the line of business activities and given their lives silently. 1st EMT's is currently the most jobs in the ability to work within a hospital that can be verified by expanding employment opportunities than the rate of youth unemployment and a sharp alleviate part of the current emergency medical institution performing the duties within the contents of this communication in a Emergency patients reflected in the rates for schools that can be revitalized as part of the emergency medical system(part of the emergency medical workers) for the completion of the law concerning emergency care, if you want the current laws and enforcement rules are to be improving. Under the current provisions in law concerning emergency care, and enforceable rules on enforcement issues and identify practical issues for consideration and improvements to enumerate the reasons for the demotion, the following conclusions can be sure until they improve. In addition, the National Assembly recently passed a bill AED use, and enforceable rules to enforce party that can teach AED necessarily a grade, including 1st EMT's to protect people's lives and to actively deal with the emergency situation so that it can be. Resolving these issues in the country where the emergency medical system can create a foundation for the advancement of emergency patients can get a good length of life, opens.

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Career Decision Level of Clothing and Textile Major College Students in Seoul Area (서울지역 의류학 전공 대학생들의 진로결정수준에 관한 연구)

  • Lee, Min-Sun;Lee, Yoon-Jung;Moon, Hee-Kang;Lee, Yhe-Young
    • Journal of the Korean Society of Clothing and Textiles
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    • v.34 no.11
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    • pp.1870-1879
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    • 2010
  • This study aimed at examining the career decision level of Clothing and Textile major college students in Seoul area. With the increasing rates of youth unemployment, preparing college students for their future career and guiding them in making career decision is imperative. Students' satisfaction with their major and motivation orientation were considered as influencing factors, as well as their demographic characteristics. A survey was conducted to 282 students majoring Clothing and Textiles at seven universities and 277 completed questionnaires were used for analysis. The questionnaire measured respondents' major satisfaction, motivational orientation, career decision level, and demographics (gender, age, school and department names, class standing, expected graduation date, subjective social status, and GPA). Descriptive statistics, K-means cluster analysis, one-way analysis of variance followed by Duncan multiple comparisons were conducted. The results indicated that Clothing and Textiles majors were overall satisfied with their major, but the satisfaction level was higher for female than male students. Those who were satisfied with their major were less likely to feel anxious about career decision-making. The High-Motivation group and the Intrinsic-Motivation group showed lower anxiety over career decision-making compared to Low-Motivation and Extrinsic-Motivation groups. This study has implications for college advisors in that it provides basic information on students' career decision level and the influencing factors.

A study on suicidal behavior factors (자살행동에 미치는 요인에 관한 연구)

  • Lee, Tae-Yong;Shin, Jong-Hun;Yu, Mi-Seon;Kim, Kwang-Hwan
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.12 no.6
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    • pp.2636-2643
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    • 2011
  • The aims of this study is to look for lifetime prevalence of suicide and to identify and compare their risk factors of suicidal ideation group and suicidal planning group. For six monthes from September 2008 to March 2009, researchers of Chungnam province studied 1,400 adults living in 7 cities and counties who are more than nineteen years old. Of those surveyed, suicide ideation, suicide plan and suicide attempt rates were 15.9%, 4.3% and 1.8% each. In conclusion, to prevent and manage suicide behavior effectively, we propose that people with more stress, greater depression, old age, lower quality of life and unemployment should be managed primarily.