• Korean Journal of Child Studies
• /
• v.29 no.4
• /
• pp.65-77
• /
• 2008

This study investigated differences of display rule by age and gender and the effects of theory of mind and affective perspective taking on display rule. Subjects were 64 4- to 5-year old children. Instruments were false belief, appearance-reality distinction, affective perspective taking, gift-giving, and display rule understanding task. Findings were (1) Display rule understanding differed by age; older children understood the display rules better than younger children. (2) Theory of mind influenced positive display rule behavior. (3) Theory of mind and affective perspective taking had a significant effect on display rule understanding.

• Korean Journal of Childcare and Education
• /
• v.11 no.5
• /
• pp.19-37
• /
• 2015

The purpose of this study was to find out the linkage between emotional display rules and emotional labor strategy and the affects of the display rule factors on the emotional labor strategy. The participants of this study were 268 childcare teachers in Seoul, and the collected data were analyzed using correlation analysis and multiple regression analysis. The results were as follows: First, display rule perception was positively related to deep acting and surface acting. And the deep acting was positively related to display rule education, commitment, fairness of display rule, and explicit display rule. Second, display rule perception has a positive effect on deep acting and surface acting. And the commitment to display rule has a positive effect on deep acting. This study provided practical implications to help childcare teachers' emotional labor, and suggested directions for the education program for the emotional competence of childcare teachers.

• Journal of Korean Academy of Nursing Administration
• /
• v.12 no.2
• /
• pp.213-224
• /
• 2006

Purpose: This study examined Korean nurses' job attitude (i.e., satisfaction and burnout) regarding the extent to which organization's emotion display rule influences on job attitudes through emotion-related variables (i.e., negative emotion suppress behavior and inauthenticity), thereby examining mediation effects of negative emotion suppress behavior and inauthenticity. Method: Using a survey to nurses working in various general hospitals in Korea, structural equation modeling was adopted. Result: Emotion display rule affected outcome variables but these effects were mostly observed via the two mediators, negative emotion suppress and inauthenticity, which largely supports the research model. Conclusion: Individuals who perceived stronger emotional display rule suppressed more their negative emotion, and also perceived more inauthenticity. In turn, negative emotion suppress behavior only affected job burnout positively. Inauthenticity showed a negative effect on job satisfaction while it had a positive effect on burnout. The study provided directions for future research and practical implications to help nurses' effective job performance.

• Journal of Korean Society for Quality Management
• /
• v.44 no.3
• /
• pp.649-660
• /
• 2016

Purpose: The purpose of this study is to find empirical studies the causal relationship among positive defining representation, negative defining representation, surface acting, deep acting, dissatisfaction of job, and intention of job transfer. Methods: The collected data through the survey by customer satisfaction team of "A" company call center. Results: The result of this study is that emotion and behavior norm influence on deep act of expressing both positive impacts of the employees. Conclusion: Feelings of corporate representation norm is psychologically of employees that because it affects even also must facilitate the surface acts and internal acts of employees and job dissatisfaction at the same time due to emotional dissonance and emotional exhaustion and turnover are hidden on the back emotion norms in the contact department, it should be aware of the need to address the emotional problems. Companies need to develop a variety of programs with attention to addressing the emotional difficulties experienced by workers.

• Journal of the Korean Home Economics Association
• /
• v.44 no.5 s.219
• /
• pp.49-58
• /
• 2006

The purposes of this study were to investigate emotional display rules and intentions of preschool children, any gender differences and the emotional intentions according to levels of understanding of emotional display rules and positive vs. negative situations. The subjects were 58 six-year-old preschoolers who were individually interviewed using 7 hypothetical scenarios that assessed emotional display rules and intentions. The children showed more self-protective intention than other intentions, although there were no gender differences in using emotional display intentions. Children with high scores of emotional display rules frequently tended to use prosocial and self-protective intentions and also used different emotional intentions on positive vs. negative emotional situations.

• Journal of The Korean Association For Science Education
• /
• v.36 no.2
• /
• pp.231-251
• /
• 2016

The goal of the study was to examine pre-service teachers' emotional experiences, especially during student teaching. The following questions guided this study. First, during student teaching, what are the characteristics of emotional experiences of pre-service science teachers? Second, what are used as the emotional rules and strategies by student teacher? In this study, we tracked nine pre-service science teachers over a four-week period of the student teaching. The data sources were lesson observations, interviews, emotional journals, and video-recorded classroom lessons. Results showed that student teachers experienced various 25 different types of emotions which were reported as the primary emotions of Koreans. The main subjects for interaction for positive emotions were students. For negative emotions, students, teachers and student teachers themselves all resulted in such negative emotional experiences. When the student teachers experienced negative emotions, they followed the emotional rule that their emotions should not be expressed in front of the students. Because of this, they tried various strategies for controlling emotions, such as 'understanding students', 'finding the positive side', 'seeing good students', 'ignoring', 'holding back', 'evading', and 'giving up'. Finally, suggestions for teacher education were discussed.

• Journal of Intelligence and Information Systems
• /
• v.26 no.2
• /
• pp.27-42
• /
• 2020

Traditional companies with offline stores were unable to secure large display space due to the problems of cost. This limitation inevitably allowed limited kinds of products to be displayed on the shelves, which resulted in consumers being deprived of the opportunity to experience various items. Taking advantage of the virtual space called the Internet, online shopping goes beyond the limits of limitations in physical space of offline shopping and is now able to display numerous products on web pages that can satisfy consumers with a variety of needs. Paradoxically, however, this can also cause consumers to experience the difficulty of comparing and evaluating too many alternatives in their purchase decision-making process. As an effort to address this side effect, various kinds of consumer's purchase decision support systems have been studied, such as keyword-based item search service and recommender systems. These systems can reduce search time for items, prevent consumer from leaving while browsing, and contribute to the seller's increased sales. Among those systems, recommender systems based on association rule mining techniques can effectively detect interrelated products from transaction data such as orders. The association between products obtained by statistical analysis provides clues to predicting how interested consumers will be in another product. However, since its algorithm is based on the number of transactions, products not sold enough so far in the early days of launch may not be included in the list of recommendations even though they are highly likely to be sold. Such missing items may not have sufficient opportunities to be exposed to consumers to record sufficient sales, and then fall into a vicious cycle of a vicious cycle of declining sales and omission in the recommendation list. This situation is an inevitable outcome in situations in which recommendations are made based on past transaction histories, rather than on determining potential future sales possibilities. This study started with the idea that reflecting the means by which this potential possibility can be identified indirectly would help to select highly recommended products. In the light of the fact that the attributes of a product affect the consumer's purchasing decisions, this study was conducted to reflect them in the recommender systems. In other words, consumers who visit a product page have shown interest in the attributes of the product and would be also interested in other products with the same attributes. On such assumption, based on these attributes, the recommender system can select recommended products that can show a higher acceptance rate. Given that a category is one of the main attributes of a product, it can be a good indicator of not only direct associations between two items but also potential associations that have yet to be revealed. Based on this idea, the study devised a recommender system that reflects not only associations between products but also categories. Through regression analysis, two kinds of associations were combined to form a model that could predict the hit rate of recommendation. To evaluate the performance of the proposed model, another regression model was also developed based only on associations between products. Comparative experiments were designed to be similar to the environment in which products are actually recommended in online shopping malls. First, the association rules for all possible combinations of antecedent and consequent items were generated from the order data. Then, hit rates for each of the associated rules were predicted from the support and confidence that are calculated by each of the models. The comparative experiments using order data collected from an online shopping mall show that the recommendation accuracy can be improved by further reflecting not only the association between products but also categories in the recommendation of related products. The proposed model showed a 2 to 3 percent improvement in hit rates compared to the existing model. From a practical point of view, it is expected to have a positive effect on improving consumers' purchasing satisfaction and increasing sellers' sales.