• The Journal of the Korea Contents Association
• /
• v.15 no.1
• /
• pp.388-398
• /
• 2015

This study is to investigate an impact of emotional index, social network, and trust to customers on sales performance with emotional intelligence theory and social relationship theory. We found that the higher is seller's emotional index, the higher are cognitive and affective trust, and the high trust improves sales performance. We also found that the higher emotional index strengthens social network, but does not have an effect on cognitive and affective trust. With these results we provide the sales competency in clothing shop.

• Journal of Digital Convergence
• /
• v.19 no.4
• /
• pp.435-441
• /
• 2021

This study was performed to investigate the relations on nursing professionalism, consciousness of biomedical ethics and intrapersonal intelligence of nursing students. The study included 159 nursing students. Data collection period was from December 3, 2018 to December 7 (5 days). Nursing professionalism was 3.97 with low social awareness and consciousness of biomedical ethics was 2.95 with high right to life of newborn and organ transplantation but low artificial abortion and euthanasia. Intrapersonal intelligence was 3.79, which showed high self reflection and self-understanding but low self-planning. There was significant positive correlation between nursing professionalism and consciousness of biomedical ethics (r=.31, p<.001) and nursing professionalism and intrapersonal intelligence(r=.39, p<.001). Nursing professionalism showed a positive correlation with biomedical ethics and intrapersonal intelligence. As a result, the nursing education strategy for positive establishment of nursing professionalism of nursing college students needs to be provided with education to improve intrapersonal intelligence that can improve self-development and education that deals with the foundation of Nursing professionalism.

• International Journal of Advanced Culture Technology
• /
• v.6 no.2
• /
• pp.58-64
• /
• 2018

This main purpose of the study is to identify social network of communicators sharing information on Bokjiro for publicizing welfare policy. This study employs NodeXL pro to understand networks and their role in the social network. The data for social network analysis was collected from Twitter for a week. The result of the analysis shows that the social network of communicators on Bokjiro does not have many nodes. It also has an independent network with high possibility of information distortion. Little communicators have controlling power in information flow in one way of communication. According to the result, it is not effective for marketing strategy of welfare policy in providing online information through Bokjiro. The study suggests that the government should use the transactional approach to marketing based on agent-oriented activity focusing on the exchange relationship between information providers and demanders in an age of networked intelligence.

• International Journal of Computer Science & Network Security
• /
• v.23 no.8
• /
• pp.101-106
• /
• 2023

In this busy world actually stress is continuously grow up in research and monitoring social websites. The social interaction is a process by which people act and react in relation with each other like play, fight, dance we can find social interactions. In this we find social structure means maintain the relationships among peoples and group of peoples. Its a limit and depends on its behavior. Because relationships established on expectations of every one involve depending on social network. There is lot of difference between emotional pain and physical pain. When you feel stress on physical body we all feel with tensions, stress on physical consequences, physical effects on our health. When we work on social network websites, developments or any research related information retrieving etc. our brain is going into stress. Actually by social network interactions like watching movies, online shopping, online marketing, online business here we observe sentiment analysis of movie reviews and feedback of customers either positive/negative. In movies there we can observe peoples reaction with each other it depends on actions in film like fights, dances, dialogues, content. Here we can analysis of stress on brain different actions of movie reviews. All these movie review analysis and stress on brain can calculated by machine learning techniques. Actually in target oriented business, the persons who are working in marketing always their brain in stress condition their emotional conditions are different at different times. In this paper how does brain deal with stress management. In software industries when developers are work at home, connected with clients in online work they gone under stress. And their emotional levels and stress levels always changes regarding work communication. In this paper we represent emotional intelligence with stress based analysis using machine learning techniques in social networks. It is ability of the person to be aware on your own emotions or feeling as well as feelings or emotions of the others use this awareness to manage self and your relationships. social interactions is not only about you its about every one can interacting and their expectations too. It about maintaining performance. Performance is sociological understanding how people can interact and a key to know analysis of social interactions. It is always to maintain successful interactions and inline expectations. That is to satisfy the audience. So people careful to control all of these and maintain impression management.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.8 no.2
• /
• pp.691-708
• /
• 2014

This paper formalizes a special type of social networking knowledge, which is called "workflow performer-role affiliation networking knowledge." A workflow model specifies execution sequences of the associated activities and their affiliated relationships with roles, performers, invoked-applications, and relevant data. In Particular, these affiliated relationships exhibit a stream of organizational work-sharing knowledge and utilize business process intelligence to explore resources allotting and planning knowledge concealed in the corresponding workflow model. In this paper, we particularly focus on the performer-role affiliation relationships and their implications as organizational and business process intelligence in workflow-driven organizations. We elaborate a series of theoretical formalisms and practical implementation for modeling, discovering, and visualizing workflow performer-role affiliation networking knowledge, and practical details as workflow performer-role affiliation knowledge representation, discovery, and visualization techniques. These theoretical concepts and practical algorithms are based upon information control net methodology for formally describing workflow models, and the affiliated knowledge eventually represents the various degrees of involvements and participations between a group of performers and a group of roles in a corresponding workflow model. Finally, we summarily describe the implications of the proposed affiliation networking knowledge as business process intelligence, and how worthwhile it is in discovering and visualizing the knowledge in workflow-driven organizations and enterprises that produce massively parallel interactions and large-scaled operational data collections through deploying and enacting massively parallel and large-scale workflow models.

• Korean Journal of Human Ecology
• /
• v.12 no.5
• /
• pp.635-645
• /
• 2003

To examine the effect of traditional outdoor play on children's emotional intelligence, the effectiveness of the traditional outdoor play program was evaluated in the kindergarten. Participants were 44 kindergartners randomly divided into two groups: experimental group and control group. The activities of traditional outdoor play were carried out twice in a week in the experimental group, and only the regular activities of kindergarten program in the control group for 12 consecutive weeks. The data were analyzed by paired t-test, independent t-test. Major findings are as follows: First, the program affected on the children's emotional recognition and expression about the self identity and importance, while there were no significant differences in the children's emotional regulation and self-motivation. Second, traditional outdoor play program affected on the children's emotional recognition and empathy in others, relationship and social skill significantly. These results showed that educational and funny traditional outdoor play contributes to children's emotional intelligence and development.

• The Journal of Information Systems
• /
• v.26 no.2
• /
• pp.165-183
• /
• 2017

Purpose The purpose of this study is to identify the related factors of cautious purchasing for buyers who have purchased products in online shopping mall. First, we focus on the prevention focus, which is one of the personal characteristics, that affect the cautious purchase, and analyze the satisfaction of purchasing according to cautious purchase. Furthermore, we investigate the influence of emotional intelligence (self-awareness and social-awareness) on the process of cautious purchasing and satisfaction. Design/methodology/approach In order to verify the hypotheses, this study surveyed individuals who purchase products on the Internet for about 2 months from August to September 2016. A total of 250 copies were returned, but 20 questionnaires that were incomplete were excluded. Thus, the final 230 samples were analyzed. Structural equation modeling (SEM) was used for hypothesis testing. Findings The result of this study showed that the cautious purchasing is stronger for the buyers with the prevention focus. And consumers who purchase carefully have higher satisfaction after purchasing. In addition, emotional intelligence in the cautious purchasing process has a positive moderating effect. Based on the results of this study, the theoretical and practical implications are suggested.

• Korean Journal of Childcare and Education
• /
• v.12 no.3
• /
• pp.79-97
• /
• 2016

The purpose of this study was to investigate the effects of children's multiple intelligences and temperaments on their play behaviors. In order to achieve this, 155 mothers and 21 teachers of children aged 4 to 6 years old were invited to participate in an observe-reported survey. The data were analyzed using descriptive statistics, Cronbach's ${\alpha}$, Pearson's correlation, and hierarchical regression analysis using SPSS version 18.0. It was found that both multiple intelligences and temperament types have partial influences on play behaviors of young children; it was confirmed that among multiple intelligences of children, logical-mathematical intelligence influences onlooker behaviors in a positive way, body-kinesthetic intelligence has a positive effect on rough-and-tumble play, and musical intelligence positively affects social play during free-choice play. Also, children with a difficult temperament were more likely to participate in solitary play than children with a slow temperament. These results imply that teachers' guidance and involvement of children's play should differ by types of temperament and levels of multiple intelligence in children.

• Korean Journal of Artificial Intelligence
• /
• v.7 no.2
• /
• pp.13-17
• /
• 2019

Currently, the sports market continues to grow every year, and among them, professional baseball's entry income is larger than the rest of the professional league. In sports, strategies are used differently in different situations, and the analysis is based on data to decide which direction to implement. There is a part that a person misses in an analysis, and there is a possibility of a false analysis by subjective judgment. So, if this data analysis is done through artificial intelligence, the objective analysis is possible, and the strategy can be more rationalized, which helps to win the game. The most popular baseball to be applied to artificial intelligence to analyze athletes' strengths and weaknesses and then efficiently establish strategies to ease the competition. The data applied to the experiment were provided on the KBO official website, and the algorithms for forecasting applied linear regression. The results showed that the accuracy was 87%, and the standard error was ±5. Although the results of the experiment were not enough data, it would be possible to effectively use baseball strategies and predict the results of the game if the amount of data and regular data can be applied in the future.

• Journal of Fisheries and Marine Sciences Education
• /
• v.25 no.1
• /
• pp.113-127
• /
• 2013

This study investigated the direction of program development in emotional education through storytelling without separating intellectual education in current schooling. As the basic research on program development for elementary school students' emotional intelligence, this study examined how storytelling affects program development in emotional education, and the direction of program contents and structures using storytelling. Firstly, current storytelling and existing programs used for emotional education were analyzed and the direction of program development in emotional education was investigated. Secondly, the structures and procedures of programs for emotional education through storytelling were examined. Finally, stressed contents and items by each factor consisting of emotional intelligence related to the curriculum, and more discussions to consider were inquired. For systematic emotional education, there must be efforts made on developing contents of each factor comprising emotional intelligence; and teaching must be done through the interrelatedness among home, society and school. Furthermore, the construction of social system across the country is required. In conclusion, this study suggest the emotional education needs new curricula based on narrative, because it is dependent on personal emotions and situations.