• Culinary science and hospitality research
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• v.20 no.5
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• pp.71-75
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• 2014

The purpose of this study is to verify antecedent variables that affect emotional labor. The results are as follows. First, display rules positively affected deep acting and negatively affected surface acting. Second, customer contact time positively affected deep acting but did not affect surface acting. Third, the interaction between display rules and customer contact time did not have significant effects on surface acting but negatively affected deep acting. The implications based on these results are as follows. First, theoretically, this study extends the range of leading variables that affect emotional labor and verifies the moderation effects between these variables. Next, practically, this study suggests that presenting harmonious criteria with regards to display rules and customer contact time that fit well into the concept of food service company is a very useful tool to manage emotional labor of the employees. The limitation of this study is that the causal relationship between variables demonstrated in this study cannot be generalized due to convenience sampling and cross sectional research.

• Journal of Mechanical Science and Technology
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• v.17 no.10
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• pp.1496-1506
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• 2003

The SIMP (solid isotropic material with penalization) approach is perhaps the most popular density variable relaxation method in topology optimization. This method has been very successful in many applications, but the optimization solution convergence can be improved when new variables, not the direct density variables, are used as the design variables. In this work, we newly propose S-shape functions mapping the original density variables nonlinearly to new design variables. The main role of S-shape function is to push intermediate densities to either lower or upper bounds. In particular, this method works well with nonlinear mathematical programming methods. A method of feasible directions is chosen as a nonlinear mathematical programming method in order to show the effects of the S-shape scaling function on the solution convergence.

• Journal of the Korean Home Economics Association
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• v.40 no.5
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• pp.225-235
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• 2002

The purpose of this research is to delineate the effect of maternal variables of the verbal abuse. Such variables as the mother's age, her education level, and maternal parenting stress have been chosen for the analysis. The sample subject were 659 pairs of fifth/sixth grade of elementary school and firs/second grade of middle school, and their mothers. The major findings of the research are as follows: first, looking at the correlation between the mother's age/education level and the verbal abuse, the verbal abuse factor shows difference correlating to the mother's age/education level. Second, looking at the correlation between the material parenting stress level and the verbal abuse, the verbal abuse factor shows difference correlating to the maternal parenting stress level. Third, the result of multiple regression analysis on the effects of the maternal variables to the verbal abuse indicates that material parenting stress is the significant contributing factor. All in all, the maternal variables account for 9% of the verbal abuse score.

• Asia pacific journal of information systems
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• v.11 no.3
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• pp.105-126
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• 2001

The objective of research is to find out exogenous variables that influence the usage and performance EDI in the Korea firms. Specifically the goals of this research are; (1) to examine relationships between exogenous variables, such as management, technology, inter-firm relationship characteristics, and EDI performance, and (2) to measure EDI volume, EDI diversity, EDI depth among Korea firms. The questionnaire consists of two versions; One for the EDI system managers and the other for the EDI users. The analysis of this study is designed as cross level to examine the causal relationship among variables in different analysis level. The reliability and validity of data was tested by explanatory factor analysis, Cronbach's alpha coefficient, confirmatory factor analysis, and correlation analysis. Also, the structural equation model(SEM) analysis was performed to test the usefulness of the model. The analysis results revealed that education level, IS growth, trust, support, power are major influential variables on the usage level and performance of EDI. Especially, persuasive power turned out to be more important than coercive power, and technical financial support from organizations was also found to be a significant variables.

• Educational Technology International
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• v.14 no.2
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• pp.137-166
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• 2013

Problem-based learning (PBL) in engineering education has been implemented in various ways. The wide range of PBL methods sometimes creates difficulties in implementing PBL. The purpose of this study was to identify the major variables that a teacher considers in PBL designs for an engineering course and suggest specific PBL methods according to the PBL design variables. This study was conducted using a review research method involving 21 studies from a range of engineering education fields. The results showed that the major variables that engineering professors need to consider when applying PBL are the authenticity of the PBL problem and the method of providing knowledge or information that the learners must know to solve the given problem. Based on the two variables identified, the following four types of PBL methods for engineering education are suggested: 1) lecture-based problem, 2) guided problem-based learning, 3) problem-based learning and 4) co-op problem-based learning.

• The Journal of the Convergence on Culture Technology
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• v.9 no.6
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• pp.743-750
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• 2023

This research aims at drawing implications by positive and negative variables affecting burnout of young working adults. The authors derived social support and empathy from sorting out the positive variables, and job boredom and job stress from the negative variables. Many studies have shown that these selected variables are believed to influence considerably on burnout. This research is achieved by the method of hierarchical multiple regression analysis. The results indicate that four positive and negative variables influence on burnout, and the negative variables(job stress, job boredom) have the greater effect than the positive variables(empathy, social support) do. Thus, there is an urgent need for care and concern for the social beginners.

• Journal of Korean Biological Nursing Science
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• v.8 no.1
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• pp.61-81
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• 2006

Purpose: The purpose of this study was to examine exercise program and outcome variables of exercise intervention studies from 1985 to 2004 in 9 major nursing journals in Korea. Method: From 81 articles, publishing year, research design, subjects, exercise program and outcome variables were analyzed. Results: The 57 papers(70.4%) were experimental research among 81 papers. Subjects of exercise intervention studies were demonstrated that patients were 55.6% while healthy person was 44.4%. Exercise type by the subjects which demonstrated the highest proportion was dance movement for the elderly, walking for the middle aged women and aqua exercise for the arthritis. The 40 papers(49.4%) included exercise duration, frequency and time for the exercise program which demonstrated the highest proportion. Outcome variables to determine the effect of exercise intervention were demonstrated to be physical function, physiological index, psychological and emotional variables, cardiopulmonary function, body composition, physical symptoms, variables related to exercise and behavior in order. Conclusion: Half of the exercise intervention papers included exercise duration, frequency, time and intensity for the exercise program. Frequently used outcome variables to determine the effect of exercise intervention were demonstrated to be physical function, physiological index and psychological emotional variables.

• Asia-Pacific Journal of Business
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• v.15 no.1
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• pp.209-223
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• 2024

Purpose - This article analyzes the impact of macroeconomic variables of the United States, China, and Korea on KOSPI and VKOSPI, in that United States and China have a great influence on Korea, having an export-driven economy. Design/methodology/approach - The influence of US, China, and Korea interest rates, industrial production index, consumer price index, US employment index, Chinese real estate index, and Korea's foreign exchange reserves on KOSPI and VKOSPI is analyzed on monthly basis from Jan 2012 to Aug 2023, using multifactor model. Findings - The KOSPI showed a positive relationship with the U.S. industrial production index and Korea's foreign exchange reserves, and a negative relationship with the U.S. employment index and Chinese real estate index. The VKOSPI showed a positive relationship with the Chinese consumer price index, and a negative relationship with the U.S. interest rates, and Korean foreign exchange reserves. Next, dividing the analysis into two periods with the Covid crisis and the analysis by country, the impact of US macroeconomic variables on KOSPI was greater than Chinese ones and the impact of Chinese macroeconomic variables on VKOSPI was greater than US ones. The result of the forward predictive failure test confirmed that it was appropriate to divide the period into two periods with economic event, the Covid Crisis. After the Covid crisis, the impact of macroeconomic variables on KOSPI and VKOSPI increased. This reflects the financial market co-movements due to governments' policy coordination and central bank liquidity supply to overcome the crisis in the pandemic situation. Research implications or Originality - This study is meaningful in that it analyzed the effects of macroeconomic variables on KOSPI and VKOSPI simultaneously. In addition, the leverage effect can also be confirmed through the relationship between macroeconomic variables and KOSPI and VKOSPI. This article examined the fundamental changes in the Korean and global financial markets following the shock of Corona by applying this research model before and after Covid crisis.

• The Journal of the Korea Contents Association
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• v.9 no.4
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• pp.142-153
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• 2009

As many companies have adopted and used ERP systems, concerns about ERP performance also have increased. The purpose of this research is to examine the relationships between qualitative variables and quantitative variables measuring ERP performances. Qualitative research, widely used in MIS research, typically examines perceived usefulness of ERP, such as information quality, system quality, system satisfaction. Quantitative research, often done in accounting research, usually examines ERP performance based on financial statements. An empirical study led to the following conclusions: 1) There were significant correlations among the qualitative variables measuring perceived usefulness of ERP; 2) Significant correlations were also observed among the quantitative variables based on financial statements; 3) However, no significant correlations was found between the qualitative variables and quantitative variables measuring ERP performance.

• International Journal of Naval Architecture and Ocean Engineering
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• v.11 no.1
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• pp.82-96
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• 2019

A semi-submersible structure has been widely used for offshore drilling and production of oil and gas. The small water plane area makes the structure very sensitive to weight increase in terms of payload and stability. Therefore, it is necessary to lighten the substructure from the early design stage. This study aims at an optimization of hull structure based on a sophisticated yield and buckling strength in accordance with classification rules. An in-house strength assessment system is developed to automate the procedure such as a generation of buckling panels, a collection of required panel information, automatic buckling and yield check and so on. The developed system enables an automatic yield and buckling strength check of all panels composing the hull structure at each iteration of the optimization. Design variables are plate thickness and stiffener section profiles. In order to overcome the difficulty of large number of design variables and the computational burden of FE analysis, various methods are proposed. The steepest descent method is selected as the optimization algorithm for an efficient search. For a reduction of the number of design variables and a direct application to practical design, the stiffener section variable is determined by selecting one from a pre-defined standard library. Plate thickness is also discretized at 0.5t interval. The number of FE analysis is reduced by using equations to analytically estimating the stress changes in gradient calculation and line search steps. As an endeavor to robust optimization, the number of design variables to be simultaneously optimized is divided by grouping the scantling variables by the plane. A sequential optimization is performed group by group. As a verification example, a central column of a semi-submersible structure is optimized and compared with a conventional optimization of all design variables at once.