• Journal of Distribution Research
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• v.10 no.1
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• pp.1-31
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• 2005

In this study, We have newly introduced consumption emotions and switching cost, as a means of managing existing customers, to examine influencing determinants in repurchase intentions along with customer satisfaction and service quality which have been important determinants in previous researches on repurchase intentions. To test them empirically, data from corporate customers of a bank in Korea and corporate banking related bankers are collected and analyzed by LISREL 8.12.. The result of this study can be summed up as follows. First, the most important determinant factor in repurchase intentions is customer satisfaction. Second, it is desirable to measure service quality not only in terms of process service quality, a process of service delivery to customers, but also outcome service quality, what customers receive from services or from service providers. Third, positive consumption emotions have positive influence upon customer satisfaction, negative consumption emotions have negative influence upon customer satisfaction and repurchase intentions. Fourth, switching cost, even though small in its influence, has been proved to be antecedent in repurchase intentions along with customer satisfaction and negative consumption emotions. After research, as precedents in customers' repurchase intentions, customer satisfaction and process service quality have exercised the biggest influences. Also, positive consumption emotions, negative consumption emotions, outcome service quality and switching cost can be used as determinants in predicting corporate customers' repurchase intentions.

• Proceedings of the Korea Contents Association Conference
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• 2009.05a
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• pp.1076-1082
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• 2009

This study investigated caregivers' communication styles and children's emotional development. Emotion-laden puzzle tasks were used to elicit caregivers' communication styles while interacting with their children. Participants included children with Down syndrome (N=10) and typical children (N=15) and their caregivers. As expected, caregivers of children with Down syndrome (DS) used more behavior and attention directives with their children, and caregivers of typical children used more conversation-eliciting prompts with their children. Parents of children with Down syndrome also used a unique communication style in which they asked a question and immediately answered it themselves. Additionally, caregivers of typical children focused more on emotion concepts in their communications with their children and caregivers of DS used more cognitive concepts such as labeling colors and shapes. The results revealed that caregivers of children with Down syndrome usually tried to educate children by emphasizing cognitive concepts to compensate for their delayed development. Because the children are delayed in their emotional development, parents may need help in intervening on the area of emotional development.

• Journal of Korean Home Economics Education Association
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• v.31 no.2
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• pp.67-77
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• 2019

The purpose of this study was to identify significant differences in dietary guidelines, emotional intelligence, resilience and violence according to the frequency of family meals for middle school students in Daegu. To achieve the purpose of this study, 241 data collected through self-administered questionnaires were analyzed. The collected data were analyzed using the SPSS (v25.0) program for frequency, percentage, standard deviation, reliability, one-way ANOVA and Duncan comparison. The results of this study were as follows. There was a significant difference in the level of the dietary guidelines practice, emotional intelligence and resilience according to the frequency of family meals of middle school students. Implications and suggestions based on the results of this study were as follows. First, family meal frequency is significantly related to middle school students' dietary guidelines practice, emotional intelligence, and resilience (p<0.05). Accordingly, personal efforts and social and institutional arrangements are required to increase the family meal frequency. Second, some of the core competences required in the 2015 revised curriculum were consistent with sub-areas of emotional intelligence and resilience, which can be predicted by the results that family meal experience of middle school students is also related to the development of core competences. In conclusion, increasing family meal frequency is important considering the trend of education, and is required for personality education.

• The Korean Journal of Coaching Psychology
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• v.5 no.2
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• pp.101-125
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• 2021

This study tried to identify the psychological mechanisms that middle and high school students can adaptively solve various problems, and to identify differences according to gender and school level. To this end, the growth mindset was set as an independent variable predicting the problem-solving ability of middle and high school students, and ego-resilience and emotional intelligence were set as the mediating variables. As for the research data, responses of 94 middle school students(40 males, 54 females) and 134 high school students(63 males, 71 females) who participated through mobile and off-line were analyzed using SPSS 24.0 and AMOS 18.0. The results are as follows. First, differences according to gender and school level were significant only in emotional intelligence. Second, ego-resilience and emotional intelligence mediated the relationship between growth mindset and problem-solving ability respectively. Third, the dual mediation effect of ego-resilience and emotional intelligence was significant in the relationship between growth mindset and problem-solving ability. Based on these results, theoretical and practical discussions and implications for improving problem-solving ability of middle and high school students are presented.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.5
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• pp.418-425
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• 2018

The purpose of this study was to investigate the effects of young children's empathic ability and interpersonal competence on caring behavior in forming relationships. Subjects included 152 4- and 5-year-old children attending a kindergarten located in a micropolitan city. Questionnaires required self-reporting by teachers, and were used to investigate young children's caring behavior, empathic ability and interpersonal competence in forming relationships. Data was analyzed using t-test, Pearson's correlation coefficient analysis and Stepwise-Regression analysis. Results were as follows: First, young children's caring behavior was negatively correlated with empathic ability and positively associated with interpersonal competence in forming relationships. Second, young children's emotional behavior as each domain of caring behavior were predictable variables for explaining the relative effect of the social reactivity and explaining the relative effect of relationship formation. Active behaviors were predictable variables for explaining the relative effect of follow-up instructions, but negatively affected mental burden. Normative behaviors were predictable variables for explaining the relative effect of social reactivity, but negatively predictable variables for explaining the relative effect of the relationship formation and mental burden. Value-contributing behavior in each domain of caring behavior were predictable variables for explaining the relative effect of the positive interaction.

• Journal of the Korea Society of Computer and Information
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• v.24 no.12
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• pp.1-7
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• 2019

With the in-depth development of machine learning, the deep learning method has made great progress, especially with the Convolution Neural Network(CNN). Compared with traditional text sentiment classification methods, deep learning based CNNs have made great progress in text classification and processing of complex multi-label and multi-classification experiments. However, there are also problems with the neural network for text sentiment classification. In this paper, we propose a fusion model based on Long-Short Term Memory networks(LSTM) and CNN deep learning methods, and applied to multi-category news datasets, and achieved good results. Experiments show that the fusion model based on deep learning has greatly improved the precision and accuracy of text sentiment classification. This method will become an important way to optimize the model and improve the performance of the model.

• Science of Emotion and Sensibility
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• v.19 no.2
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• pp.67-78
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• 2016

The purpose of this study was to investigate relationships among the older drivers' subjective evaluation and objective performances for driving ability, mobility and subjective well-being. Scores for mobility and subjective well-being were obtained using questionnaires. Diagram-based driving scenarios and driving simulation were used to measure subjective and objective driving abilities, respectively. The results can be summarized as followings. First, subjective evaluation scores of driving ability but not objective driving performance significantly correlated with mobility. Second, the higher level of mobility predicted higher life satisfaction, higher positive affectivity, and lower negative affectivity. Third, the older driver's higher scores of subjective driving ability induced higher level of mobility, which, in turn, increased life satisfaction and positive affectivity but lower negative affectivity. The results suggested that subjective rather than objective ability for driving is more important in determining the level of old driver's subjective well-being.

• Korean Journal of Culture and Social Issue
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• v.21 no.4
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• pp.575-594
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• 2015

This purposed of this study was to investigate the effect of empathy on social justice commitment from a social-cognitive perspective. Specifically, we examined how cognitive and affective empathy affect social justice commitment through social justice self-efficacy, social justice outcome expectation, and social justice interest which represent a social-cognitive path of behavior. Based on the self-report survey sample of 537 people in their twenties, we first controlled social desirability, and then analyzed the measurement and structure model using Structure Estimate Modeling(SEM). As a result, it turned out that both cognitive and affective empathy indirectly affected social justice commitment through the path of the social-cognitive model. However, affective empathy had a larger effect size compared to cognitive empathy. Results suggest that empathy competence has an effect on not only general altruistic behavior as known before but also social justice behavior which include the value of equality and anti-discrimination. Finally, ways for facilitating social justice commitment in terms of cognitive and affective empathy were suggested.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.26 no.1D
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• pp.59-66
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• 2006

This study was to construct the linear density predictive models on the on-ramp junctions in urban freeway. From the analyses of the real-time traffic characteristic data, and the construction and verification of the linear density predictive models, the models showed a considerable explanatory power with the determination coefficients ($R^2$) of over 0.7 between the density and speed data. Also, they showed a considerably high correlativeness with the correlation coefficients (r) of over 0.8 between the calculated density data and the expected ones estimated by the models.

• 한국노년학
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• v.31 no.1
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• pp.97-109
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• 2011

The purpose of this work is to examine how work stressors are related to the burnout among staff in long-term care facilities for the elderly. This study offers some responses to a growing stress and burnout for the long-term care workers. The demand for long-term care workers is set to rise in light of an increasing share of older people and dependent elderly. Long-term care workers provide long-term care services to persons with a reduced degree of functional, physical or cognitive capacity. Cross-sectional survey data were collected from 216 staff in long-term care facilities. The standardised Maslach Burnout Inventory(MBI) was used to assess levels of burnout in long-term care workers. The MBI consists of 22 items using a 5-point Likert scale, measuring three sub-scales of burnout; Emotional exhaustion, Depersonalization, and Personal accomplishment. Data were analyzed using regression. This study is empirically tested the degree of association between burnout and its antecedents. The majority of differences in burnout could be explained by work stressors such as client relationship, job overload, job role conflict, and conflicts with clients' family. The study also identified workers' perceptions of their image in society and emotional support as predictors of burnout. Therefore long-term care facilities are encouraged to review their practices so that workers well-being is supported. The study findings suggest attention for organizational oriented initiatives to cope with burnout.