• Journal of Distribution Science
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• v.15 no.1
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• pp.51-56
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• 2017

Purpose - The study verified the effects of consumers' knowledge perception upon word-of-mouth intention and purchase intention of consumers who were exposed to a lot of information, and examined consumer's behavior from multi-dimensional points of view. Research design, data, and methodology - The study conducted the test of difference between consumer's cognition on importance and satisfaction of HMR product by gap of HMR (Home Meal Replacement) product for IPA analysis. The consumer's reliability and words-of-mouth were measured by the questionnaire method with 4 questions according to Likert 7-point scale. Conversion into z-score removed the difference of variables. Results - The causal relation model for importance, satisfaction and gap, not relying upon multi-dimensional scaling and others, could construct causal relation model to give implications. Difference (d) of the products could lessen consumer's reliability to increase consumer's knowledge perception, word-of-mouth intention, knowledge perception, and purchase intention. Therefore, enterprises should make an effort to lessen consumers' complaint for the products and to elevate consumers' reliability. Enterprises also try to give consumers exact information and to promote purchase intention. Conclusions - Difference (d) of consumers' complaint and/or disappointment decreased consumers' reliability to increase knowledge perception. Enterprises should supply consumers with products according to their requirements to minimize the gap and to give them proper information.

• Journal of Korean Academy of Nursing Administration
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• v.16 no.4
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• pp.497-506
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• 2010

Purpose: The purpose of this study was to examine the causal relationships among quality of health care service, service value, satisfaction and loyalty as perceived by hospital inpatients. Methods: A survey using a structured questionnaire was conducted with 654 hospital inpatients. Analysis of the data was done with both SPSS Win 17.0 for descriptive statistics and AMOS 18.0 for the structural equation model. Results: The modified model yielded Chi-square=7.96 (p=.019), df=2, $x^2$/df=3.98, GFI=.99, AGFI=.96, RMSEA=.07, NFI=.99, CFI=.99, TLI=.98 and showed good fit indices. Three dimensions of quality had significant direct effects on service value. Functional quality, technical quality and service value had significant direct effects on customer satisfaction. Technical quality, service value, and customer satisfaction had significant direct effects on customer loyalty. Conclusion: These results suggest that quality of health care is an important element in service value, and through both quality and service value, customer satisfaction and customer loyalty can be enhanced. Further study with a larger sample from various hospitals and a longitudinal design is necessary.

• Journal of Korean Academy of Nursing Administration
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• v.14 no.1
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• pp.35-44
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• 2008

Purpose: This study was done to identify the risk factors influencing turnover intention of nurses. Method: The participants in this descriptive survey on causal relations were 756 nurses who were working at a tertiary university hospital in Seoul. The data were put in to multiple regression analysis to build a prediction model. Results: Turnover intention according to general features were shown as following.: Age, Clinical careers, Educational level, Marital status, Economic status(Yearly income). The relationship between turnover intention and job stress had positive correlation. But the relationship between turnover and other factors that job satisfaction, internal marketing, and organizational commitment had negative correlation. The causal factors of turnover intention were organizational commitment, the factors of organizational support and patient/caregiver relationships among subcategories of job stress and the factor of professional position among subcategories of job satisfaction. Conclusions: The findings of study suggest that board intervention program should be provided to prevent problems of turnover. It is also recommended that a program be developed that can help control the variables identified in this study along with follow up study to verify the model.

• Journal of the Korean Home Economics Association
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• v.33 no.3
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• pp.85-99
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• 1995

The major purpose of this research was to investigate the causal relationships among working wives' work-family conflict, socialization of housework, and home management satisfaction. the double ABCX model of family stress and adaptation provided the theoretical framework for this study. the data were recruited from working wives who had more than one pre-school child. The respondents were asked to complete the self-administered questionnaires, and the responses of 536 working wives were used for the final analysis. basically Cronbach's α to the reliability of major variables, frequencies, percentages, means, standard deviation, pearson's correlation coefficients, and LISREL 7 program were performed to test the research model. The results of this study can be summarized as follows : 1. The frequency of work-family conflict was affected by the flexibility of work time and wives' income. 2. The severity of wok-family conflict was directly influenced by the frequency of the conflict, the flexibility of work-time, and wives' education level. 3. The variables influencing the degree of socialization of housework were found to be the frequency and the severity of work-family conflict, wives' education, and the degree of husband's participation in housework. 4. The higher degree of home management satisfaction was associated with the higher level of family member's health status, the greater degree of the flexibility of work-time, and the greater degree of husband's participation in household labor.

• East Asian Journal of Business Economics (EAJBE)
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• v.8 no.1
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• pp.57-69
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• 2020

Purpose - This study examines what are the asset market fluctuations in Europe and how each economic variable affects major variables, and explore the dynamics of housing and stock market through Greece. The variables under consideration are balance on current account (BCA), index of stock (STOCK), gross domestic product (GDP), housing price indices (HOUSING), M3, real rate of interest (IR_REAL) and household credits (LOAN). We investigate the functional and causal relationships between housing and stock market. Research design, data, and methodology - Vector error correction model (VECM) is used to figure out the dynamic relationships among variables. This study also contains the augmented Dickey-Fuller unit root, cointegration, Granger causality test, and impulse response function and variance decomposition analysis by EViews 11.0. Results - The statistical tests show that all variables under consideration have one unit root and there is a longterm equilibrium relationship among variables for Greece. GDP, IR_REAL, M3, STOCK and LOAN can be considered as causal factors to affect real estate market, while GDP, LOAN, M3, BCA and HOUSING can bring direct effects to stock market in Greece. Conclusions - It can be judged that the policy that affects the lending policy of financial institutions may be more effective than the indirect variable such as monetary interest rate.

• The Korean Journal of Emergency Medical Services
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• v.28 no.1
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• pp.21-34
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• 2024

Purpose: This study aimed to observe change in factors over time in the first cohort of the 2018 Children and Adolescent Panel Middle School. In addition, this study attempted to examine the causal relationship and influence between variables by setting a time gap between independent and dependent variables. Methods: Frequency and descriptive statistical analyses were conducted to determine the general characteristics of the study participants. Hierarchical regression analysis was conducted to analyze the effects of smartphone dependence on health, sleep quality, and depression. After inputting the control variables (Model 2), the influence of the variables was identified based on the input model. Results: Smartphone dependence positively impacted depression in both male and female students and negatively impacted sleep and health. Conclusion: Smartphones are closely associated with teenagers' lives. Additionally, as adolescents experience various psychological anxieties owing to rapid physical changes, there are concerns that psychological dependence may increase, considering that adolescence is the most emotionally unstable period. Therefore, the results of this study consistently prove that smartphone dependence has a causal relationship with emotion-related variables, such as emotional stress, depression, and anxiety.

• Journal of the Korean Operations Research and Management Science Society
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• v.33 no.2
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• pp.153-174
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• 2008

There have been two streams of the studies on development structure : conceptual model approach and statistical analysis approach. But In these days, the latter has been becoming the main approach owing to the development of multivariate statistical methods and statistical packages. In this study, we examine methodologies and results of the leading researches related to development structure based on statistical analysis and propose the future research directions. This analysis would be expected to contribute toward the construction of long-range development policies on each country.

• Journal of Korea Port Economic Association
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• v.24 no.1
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• pp.1-10
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• 2008

This paper analyses the dynamic causal relationship between vessel export and economic growth using annual data over the period from 1977 to 2006. Tests for ADF unit-roots, the dynamic vector using Johansen's multiple cointegration procedure, dynamic vector error correction model and impulse response function are presented. The findings of the Granger test suggest that vessel export Granger-causes economic growth in the short-run and economic growth Granger-causes exports in the short and long-run. The empirical results of impulse-response analysis show that the vessel export to a shock in real GDP responds positively and the real GDP responds positively to the shocks in vessel export. Also, the results indicate that the impact of vessel export shock on the real GDP is short-lived.

• Journal of the Korean Data and Information Science Society
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• v.25 no.2
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• pp.365-371
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• 2014

Association rule of the well-studied techniques in data mining is the exploratory data analysis for understanding the relevance among the items in a huge database. This method has been used to find the relationship between each set of items based on the interestingness measures such as support, confidence, lift, similarity measures, etc. By typical association rule technique, we generate association rule that satisfy minimum support and confidence values. Support and confidence are the most frequently used, but they have the drawback that they can not determine the direction of the association because they have always positive values. In this paper, we compared support, basic confidence, and three kinds of confidence measures useful for classification model building to overcome this problem. The result confirmed that the causal confirmed confidence was the best confidence in view of the association mining because it showed more precisely the direction of association.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.11
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• pp.7690-7697
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• 2015

This study is to reveal structural causal relationship of individual factors influencing association member's substantive payment in the economic view which is a critical factor of project implementation and identify its influence through simulation and actual proof analysis. As the results of analysis, the first, association member's substantive payment is decided to allow for the difference between special price for association members and general price and the profit arising between the time of approval of disposal plan and moving in. The second, on analysis of sensitivity of individual factors influencing association member's substantive payment, floor area ratio applied to project has the biggest influence. Association member's payment is also greatly influenced by the subject of cost allocation for establishing infrastructure in project area. The third, this study set up a structure model based on causal relationship among the factors deciding association member's payment and empirically examined influence and path of influence which the individual factors exercise. The result indicates that control elements and regional characteristic elements influence association member's payment through the medium of plan elements.