• Journal of Korean Society of Industrial and Systems Engineering
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• v.39 no.3
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• pp.118-128
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• 2016

The purpose of this study is to verify the role of moderating effect of pay system on the relation between organizational justice and employee's pay level satisfaction. By default, it would be a justice find out a positive impact on pay levels satisfaction members feel. It will examine the mediating effect of the wage system the main purpose of this study is to prove their relationship. A survey was conducted to examine the role of moderating effect of pay system on the responses of 218 employees. sex, education, status, and service type were chosen as control variable, and the regression model which treated the distributive justice and procedural justice as independent variable was set. A pay system was supposed as moderating variable of the relation between organizational justice and pay level satisfaction, In addition the pay system have a dummy variable (if pay system is lower than the average, pay system is 0, else pay system is 1). The result showed that the relation of organizational justice and pay level satisfaction are significantly unique. This means that pay system moderates the relation of organizational justice and pay level satisfaction. These results are different from the prior researches which had treated pay system as mediative variable of organizational justice and pay level satisfaction. This difference may be from the property of attitude variable. For example, pay satisfaction is individual-based attitude. Moreover, organizational committment has the instrumentality for future reward, while pay satisfaction does not. The future study should consider the properties of these variables and other employee's attitude variables.

• Journal of Korean Academy of Nursing
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• v.36 no.1
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• pp.37-44
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• 2006

Purpose: This research has been conducted in order to understand the major factors that affect self-esteem of adolescents. Methods: Data was collected by questionnaires from 1155 students at middle and high school in Seoul and Kyungkido, Korea. The Instrument tools utilized in this study were self-esteem, body-image, problematic behavior, depression, school adjustment, social support tool and thoroughly modified to verify validity and reliability. The collected data have been analyzed using SPSS 11.0 program. The variable of family harmony and counseling partner was treated as a dummy variable. Seven outliers which were bigger than 3 in absolute value were found, so after taking them off, Multiple Regression was used for further analysis. Result: The major factors that affect self-esteem of adolescents were depression, social support, body-image, problematic behavior, school adjustment, and family harmony, which explained $54.7\%$ of self-esteem. Conclusion: It has been confirmed that the regression equation model of this research may serve as a self-esteem prediction factors in adolescents.

• Journal of the Korean Home Economics Association
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• v.35 no.4
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• pp.229-242
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• 1997

the purpose of this study is to investigate the effect of household type on human capital enhancement expenditures and to compare the difference in these expenditures between female-hemale-headed and married-couple households. Data for this study were from the 1990-91 Consumer Expenditure Survey(CES) and consisted of a sample of 7,225 married-couple and 1,391 female-headed households with children under age 18. The dependent variable to measure human capital expenditures was the sum of four sub-components-education reading leisure and health care expenditures. Tobit analysis with a dummy variable for household type was used to identify the effect of household type on the dollars spent on human capital expenditures. The effect of household type was significant in human capital expenditures indicating that female-headed households spent significantly less for this category than did married-couple household holding other factors constant. the findings of this study suggested that income from a public assistance program was associated with lesser expenditures on human capital while social security income source was associated with greater human capital expenditures, It was also found that the addition of family members between ages of 6 and 17 positively affected human capital expenditures. Understanding these factors is useful for family resource management professionals who work with female-headed households.

• The Journal of Information Systems
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• v.16 no.1
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• pp.91-109
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• 2007

This study investigates the extent to which the implementation of enterprise resource planning(ERP) systems enhance the corporate performance by examining financial variables of the implemented firms against those of the control fm. A total of 346 observations were obtained from 160 firms, 80 implemented firms and 80 control firms, for the period of 1998-2002. Results from the study partly support the assertion that ERP improves the full spectrum of business functions such as selling, marketing, purchasing, warehousing, accounting and human resources by tightly integrating enterprise-wise information databases. First the profitability of the implemented group was different from that of the control group. The indicator (dummy) variable was able to explain the differences in total cash flows between the implemented group fm and the control group firms. Second, ERP turned out In improve the efficiency in managing assets. The indicator variable has the power in explaining the differences in the amount of accounts receivables between the implemented group firms and the control group firms. Third, the product turnover ratio of the implemented group was different from that of the control group. Fourth, the average value added per employee and the net income per employee of the implemented group firms were greats- than those of the control group firms. Finally, the average magnitude of the administrative expenses of the implemented group firms was smaller than that of the control group firms.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.11
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• pp.541-548
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• 2020

This study aimed to explain the factors that influenced an individual's decision to migrate. The method of analysis in this study was the estimation of the probit regression model with data from the Indonesian Family Life Survey (IFLS-5), which covered 30,000 individuals from 13 provinces in Indonesia. Data from IFLS-5 were longitudinal data, meaning that the study was looking for data consistently to get reliable data from respondents. The research variables to determine the individual's decision to migrate were education level, income level, employment status, marital status, land ownership status, health quality, gender, residence status, and poverty status. Individual decision to migrate as a dependent variable was placed as a dummy variable. The results showed that the level of education, income level, employment status, marital status, land ownership status, health quality, and poverty status significantly influenced an individual's decision to migrate. Meanwhile, gender and residence status did not significantly affect an individual's decision to migrate. This research recommends that it is necessary to pursue a policy of economic equality between regions because economic factors are the main trigger for an individual's decision to migrate. Policies to overcome economic disparities among regions will reduce the individual's decision to migrate.

• The Korean Journal of Applied Statistics
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• v.26 no.2
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• pp.237-252
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• 2013

An estimation model for premiums and components is essential to determine reasonable insurance premiums. In this study, we introduce diverse models for the estimation of property damage premiums(premium, depth and frequency) that include a regression model using a dummy variable, additive independent variable model, autoregressive error model, seasonal ARIMA model and intervention model. In addition, the actual property damage premium data was used to estimate the premium, depth and frequency for each model. The estimation results of the models are comparatively examined by comparing the RMSE(Root Mean Squared Errors) of estimates and actual data. Based on real data analysis, we found that the autoregressive error model showed the best performance.

• The Journal of Fisheries Business Administration
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• v.54 no.2
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• pp.31-44
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• 2023

This study examines the demand system of shrimp imported from top four countries and domestically produced by using AIDS (Almost Ideal Demand System) model. Top four import countries are Vietnam, Ecuador, China, and Malaysia based on the value of imports in 2021. As results of the analysis, the demand system of shrimp turn out to be below. First, the relationship of domestic shrimp and imported shrimp (Ecuadorian and Vietnamese) is identified as complements or substitutes depending on whether the income effect is considered. This result implies that imported shrimp supplements domestic supply against excess demand while homogeneous shrimp products competes with domestic shrimp in fish market. Second, the relationship among imported shrimps turned out to be both substitutes and complements. Especially, the Vietnamese shrimp is complementary with Chinese and Malaysian shrimp, but substitutes of Ecuadorian. It is assumed that adjoining Asian countries shares similar shrimp species and processing system which differentiates from Ecuadorian. Finally, the study included quarter as dummy variable and GDP as instrumental variable of expenditure in the model. The result confirmed that domestic shrimp is highly on demand during the main production season while imported shrimp is mainly demanded during the rest of the season.

• Journal of Korean Society of Forest Science
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• v.87 no.1
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• pp.40-49
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• 1998

This study aimed to provide a strategy for selecting an adequate combination of growth intervals(i.e. times between age $T_1$ and age $T_2$) to be used to improve the reality of the growth equation through obtaining better precision of parameter estimates. Variety of growth functions were fitted to the data and one equation which best fitted the data was chosen for the analysis. A modified Schumacher projection equation, selected as a best equation, that included dummy variables representing locality as a predictor variable was fitted for basal area and height equations with nonoverlapping growth interval and all possible growth interval data sets of Douglas-fir(Pseudotsuga menziesii Mirb.Franco). The data were measured in all parts of the South Island of New Zealand. It was found that the precision of parameter estimates was increased in both basal area and height equations by using data set which contained a range of measurement intervals from short to long term.

• KIPS Transactions on Computer and Communication Systems
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• v.5 no.2
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• pp.33-40
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• 2016

Due to the growth of social network systems (SNS), big data are realized and Hadoop was developed as a distributed platform for analyzing big data. Enterprises analyze data containing users' sensitive information by using Hadoop and utilize them for marketing. Therefore, researches on data encryption have been done to protect the leakage of sensitive data stored in Hadoop. However, the existing researches support only the AES encryption algorithm, the international standard of data encryption. Meanwhile, Korean government choose ARIA algorithm as a standard data encryption one. In this paper, we propose a HDFS data encryption scheme using ARIA algorithms on Hadoop. First, the proposed scheme provide a HDFS block splitting component which performs ARIA encryption and decryption under the distributed computing environment of Hadoop. Second, the proposed scheme also provide a variable-length data processing component which performs encryption and decryption by adding dummy data, in case when the last block of data does not contains 128 bit data. Finally, we show from performance analysis that our proposed scheme can be effectively used for both text string processing applications and science data analysis applications.

• The Journal of Information Technology
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• v.8 no.1
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• pp.63-81
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• 2005

The purpose of this study is primarily to analyse empirically the productivity effects of worker participation in capital by Korean employee stock ownership plan that had taken newly effect on and after January 1,2002, and secondarily to examine the impact of unionization on productivity. The analysis data are those of 150 firms that listed or registered on the stock market, and introduced ESOP. The result of this study can be summarized as follows. First, the worker participation in capitia have significantly a positive effect on productivity, but the magnitude of those effects vary according to estimation models and sectors. The elasticity of stock share owned by employees on productivity is from 0.03 to 0.24. Second, there is no unitary relationship between unionization and productivity. The coefficients of union dummy variable are positive or negative according to models and sectors as well as insignificant.