• The Journal of the Korea Contents Association
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• v.19 no.10
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• pp.667-676
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• 2019

The purpose of this study was to assess the impact of childbirth on socioeconomic status changes of women. Data were collected from Korean Health Panel (2008-2015). A difference-in-differences model with propensity score matching was applied to assess the impact of childbirth on socioeconomic status changes. As a result, variables showing significant differences in the interaction terms indicating the impact of birth were the savings, economic activity, and occupational status. The impact of birth were significant in decreasing the amount of savings and negatively affecting women's economic activities, but in increasing the probability of full-time and regular employees in occupational status. Childbirth appears to have a negative impact on the home economics and socioeconomic status of women. The belief that home economies can be stabilized even after childbirth should be established, and a long-term and sustained support plan should be set up to realize this belief.

• Journal of Bio-Environment Control
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• v.17 no.2
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• pp.124-131
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• 2008

To investigate main air temperature factors correlated to difference of fruit characteristics according to cultivating areas, fruit and air temperature characteristics of eight cultivating areas of 'Fuyu' persimmon were analyzed by principle components and multiple regression analysis. The first principal components extracted from 16 air temperature factors was annual mean temperature, mean temperature during October, annual mean minimum extreme temperature, mean temperature during growing period, and so forth. The second principal components was mean temperature during May and June and so forth. And cumulative contribution was 91.4%. The five of eight cultivating area had clearly the difference of main factors or the correlated direction among cultivating areas. In multiple regression analysis between the extracted main factors and fruit characteristics, fruit hight were highly correlated with mean temperature during growing period ($X_8$) and cumulative temperature ($X_6$), and the regression equation was $Y=150.55-5.375X_8+ 0.014X_6(r^2=0.843)$. Also this regression equation was affected by mean minimum temperature during growing period, cumulative temperature, and mean temperature during August. Fruit diameter was negatively correlated with mean temperature during growing period, flesh browning rate and Hunter a value of peel color were positively correlated with mean minimum temperature during growing period and annual minimum air temperature, respectively.

• Culinary science and hospitality research
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• v.18 no.5
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• pp.80-94
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• 2012

This study tries to test the research model that proposes the relationship among environmental fit, job satisfaction and job performance by hotel chefs' personality types. The sample for the study is 300 chefs extracted from eight five-star hotels in Seoul metropolitan area. Self-administrated questionnaires are distributed and 287 usable questionnaires are collected and used for the analyses. To test the hypotheses, MANOVA and stepwise regression analysis are used besides such basic analyses as frequency, descriptive, exploratory factor, reliability and cluster analysis. The study results show that environmental fit differs significantly by the hotel chefs' personality types and these personality types affect job satisfaction significantly. In addition, it is found that the hotel chefs' environmental fit influences their job satisfaction, which subsequently affects job performance.

• Journal of the Korea Convergence Society
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• v.12 no.12
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• pp.331-338
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• 2021

This study used data from the 10rd and 15th year of the Korean Welfare Panel to evaluate the effects of the Energy Voucher Program(EVP) on the consumption and expenditure of EVP users' households. The study consisted of program group using EVP and control group not using. Chi-square and t-test were used for the characteristic differences among the groups, and the difference of consumption expenditure was identified by multiple regression analysis. As a result, EVP had a statistically significant effect on the health care costs of EVP users' households, resulting in an increase in health care costs(𝛽=3.06). However, there was no statistically significant effect on the total cost of living, basic cost, education cost, and recreation/entertainment cost. Therefore, in order to increase the effectiveness of the EVP system, it is required to improve the EVP system by expanding the level of benefits and easing the qualification standards for the eligibility for benefits.

• Information Systems Review
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• v.18 no.1
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• pp.25-39
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• 2016

This study suggests a case for people who are unfamiliar with data analysis to equip them in using big data easily without complex programming tasks. Consequently, we investigate whether a food-themed TV program influences the number of delivery food orders with the use of the difference-in-differences method. Results show that the number of delivery food orders significantly increased after broadcasting four of five food-themed TV program episodes, each of which focuses on a particular delivery food. This study contributes to the existing literature by presenting the possibility that food-themed TV programs can positively affect not only the broadcast delivery food stores but also the entire delivery food business. In addition, this study provides practical contributions by recommending a big data analysis methodology that can be easily employed by many people.

• The Journal of the Korea Contents Association
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• v.16 no.11
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• pp.63-71
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• 2016

The purpose of this study is to investigate factors affecting dropout intention based on education satisfaction survey analysis of local J university. Total 7,248 survey data which has high trustability were analyzed. Analysis of variance was performed to verify differences between each grade and credits level. There are significant differences between the year grade and credit level. Especially the result show that the satisfaction of freshman is higher than the other grade students. To verify relation between intention to dropout and satisfaction of university education logistic regression analysis method has been applied and satisfaction of academic guidance, vocational guidance, environment of education and self-satisfaction of university life are significantly related to the dropout intention. The most important variable is self-satisfaction of university life which determine dropout intention through decision tree analysis.

• Journal of the Korea Convergence Society
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• v.10 no.9
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• pp.343-349
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• 2019

This study used data from the 3rd and 11th year of the Korean Welfare Panel to evaluate the effects of the Long-Term Care Insurance(LTCI) system on the consumption and expenditure of LTCI users' households. The study consisted of program group using LTCI and control group not using. Chi-square and t-test were used for the characteristic differences among the groups, and the difference of consumption expenditure was identified by multiple regression analysis. As a result, LTCI had a statistically significant effect on the health care costs of LTCI users' households, resulting in an increase in health care costs(${\beta}=3.06$). However, there was no statistically significant effect on the total cost of living, basic cost, education cost, and recreation/entertainment cost. Therefore, in order to show the effect of LTC system, we should try to reduce of self-pay and improve the contents and quality of the service of the LTC system.

• Journal of the Korea Convergence Society
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• v.12 no.4
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• pp.267-274
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• 2021

This study used data from the 6rd and 12th year of the Korean Welfare Panel to evaluate the effects of the Personal Assistance Service(PAS) system on the labor market of PAS users' participation. For the purpose of this study, 64 program groups using the Korean PAS and 344 control groups not using the Korean PAS were selected using Caliper matching among the propensity score matching. A chi-square test was used for the difference in characteristics between groups, and a simple difference-in-differences (DID) model and a double-difference multiple regression analysis of DID were performed to estimate the effect of thepolicy before and after the Korean PAS. As a result of the study, it was found that statistically, PAS had no significant effect on the labor market. This is due to the low number of system users, resulting in low post-hoc power, incomplete matching and limited availability of PAS Assistants for Disabled People. Therefore, In order to demonstrate the effectiveness of the Personal Assistance Service(PAS) system, specialized services and systems that meet the needs of the disabled and household members should be implemented.

• 한국정책학회보
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• v.23 no.3
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• pp.161-198
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• 2014

The various types of improper usages in the process of delivering social services have been increasingly paid to attention in South Korea. This study, relying on empirical data about the various improper behaviors, explore whether the audit activity can reduce the degree of the improper behavior. In order to estimate the impact of the audit, we use the DID(Difference in difference) method, comparing the experimental group with the audit treatment and the control group without it. We control for size(the number of Service personnel and user), types of social service (elderly, disabled, etc.), organizational forms(profit, non-profit), region(metropolitan areas, small-medium cities, rural areas), and the number times of audit (1, 2, and 3 number). Our empirical results show that the audit decreased the ratio of payment violation by about 4.02 percent, the number of violations from providers' improper payment by approximately 5.07 and the number of violations from users' improper payment by approximately 9.59. Further research is required to explore why and how the audit can decrease the improper usage in social service with rigorous theoretical models.

• 한국경영정보학회:학술대회논문집
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• 2007.06a
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• pp.926-930
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• 2007

본 연구는 음악콘텐츠를 생산, 유통, 판매하는 기업의 입장에서 과연 소비자들의 어떤 인지요인들이 모바일음악콘텐츠 상품의 구매의도에 영향을 미치는지에 대해 초점을 맞추었다. 연구모델로는 모바일음악콘텐츠 상품을 정보기술이라는 측면에서 접근하고, 이러한 정보기술의 수용 요인을 추출하기 위하여 기술수형모형 (TAM: Technology Acceptance Model)을 주요 이론적 토대로 하였다. 또한, 구체적인 분석을 위해 모바일음악콘텐츠를 벨소리콘텐츠, 통화연결음콘텐츠, 음악 전곡 다운로드콘텐츠로 유형화하고, 각 분류에서의 구매의도에 영향을 미치는 요인을 분석하고자 온라인과 오프라인에서의 설문을 실시한 결과, 첫째, 회귀분석을 통해 벨소리콘텐츠 구매의도와의 관계를 검증하여 최종 도출된 요인들은 이용경력, 차별성, 편재성, 신뢰성, 보안성, 맞춤성, 사용편의 지각, 유용성 지각으로 나타났다. 둘째, 통화연결음콘텐츠 구매의도와의 관계인 경우 최종 도출된 요인들은 이용경력, 차별성, 편재성, 신뢰성, 보안성, 맞춤성, 사용편의 지각, 유용성 지각으로 나타났다. 셋째, 음악 전곡 다운로드콘텐츠 구매의도와의 관계인 경우 최종 도출된 요인들은 이용경력, 복제가능성, 신뢰성, 맞춤성, 사용편의 지각, 유용성 지각으로 나타났고, 이는 모바일음악콘텐츠의 유형에 따라 소비자의 구매의도에 끼치는 요인에 차이가 있음을 보여주고 특히 이동통신기기 특유의 콘텐츠와 일반음악콘텐츠의 경우 큰 차이를 구매의도와 독립변수간의 관계에서 보여주고 있다.