• Journal of Intelligence and Information Systems
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• v.27 no.1
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• pp.103-128
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• 2021

Recently, investors' interest and the influence of stock-related information dissemination are being considered as significant factors that explain stock returns and volume. Besides, companies that develop, distribute, or utilize innovative new technologies such as artificial intelligence have a problem that it is difficult to accurately predict a company's future stock returns and volatility due to macro-environment and market uncertainty. Market uncertainty is recognized as an obstacle to the activation and spread of artificial intelligence technology, so research is needed to mitigate this. Hence, the purpose of this study is to propose a machine learning model that predicts the volatility of a company's stock price by using the internet search volume of artificial intelligence-related technology keywords as a measure of the interest of investors. To this end, for predicting the stock market, we using the VAR(Vector Auto Regression) and deep neural network LSTM (Long Short-Term Memory). And the stock price prediction performance using keyword search volume is compared according to the technology's social acceptance stage. In addition, we also conduct the analysis of sub-technology of artificial intelligence technology to examine the change in the search volume of detailed technology keywords according to the technology acceptance stage and the effect of interest in specific technology on the stock market forecast. To this end, in this study, the words artificial intelligence, deep learning, machine learning were selected as keywords. Next, we investigated how many keywords each week appeared in online documents for five years from January 1, 2015, to December 31, 2019. The stock price and transaction volume data of KOSDAQ listed companies were also collected and used for analysis. As a result, we found that the keyword search volume for artificial intelligence technology increased as the social acceptance of artificial intelligence technology increased. In particular, starting from AlphaGo Shock, the keyword search volume for artificial intelligence itself and detailed technologies such as machine learning and deep learning appeared to increase. Also, the keyword search volume for artificial intelligence technology increases as the social acceptance stage progresses. It showed high accuracy, and it was confirmed that the acceptance stages showing the best prediction performance were different for each keyword. As a result of stock price prediction based on keyword search volume for each social acceptance stage of artificial intelligence technologies classified in this study, the awareness stage's prediction accuracy was found to be the highest. The prediction accuracy was different according to the keywords used in the stock price prediction model for each social acceptance stage. Therefore, when constructing a stock price prediction model using technology keywords, it is necessary to consider social acceptance of the technology and sub-technology classification. The results of this study provide the following implications. First, to predict the return on investment for companies based on innovative technology, it is most important to capture the recognition stage in which public interest rapidly increases in social acceptance of the technology. Second, the change in keyword search volume and the accuracy of the prediction model varies according to the social acceptance of technology should be considered in developing a Decision Support System for investment such as the big data-based Robo-advisor recently introduced by the financial sector.

• Korean Journal of Human Ecology
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• v.12 no.5
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• pp.713-735
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• 2003

The purpose of this study was to investigate the effects of the characteristics of maternal social networks on maternal expectation for their own children to examine the path that social networks had an effect on the self-esteem and the emotional intelligence of children through maternal expectation for their own children. The data used in this study were collected from 524 fourth to sixth graders and their mothers residing in Daejeon using structured questionnaire. The major findings of the study were as follows : (1) Among social network characteristics, proportion of friends and neighbors, proximity, direction and interference had a negative effect, and proportion of mothers of child's friends, frequency of contact, intimacy, emotional support, service support had a positive effect on maternal expectation for their own children. (2) Among social network characteristics, proportion of mothers of child's friends had a direct effect and proportion of friends, neighbors, and mothers of child's friends, proximity, frequency of contact, intimacy, direction, emotional support, service support, and interference had an indirect effect on children's emotional intelligence through maternal expectation for their own children. (3) Among social network characteristics, proportion of kin and mothers of child's friends, intimacy, service support, material support and interference had a direct effect, and proportion of neighbors and mothers of child's friends, proximity, frequency of contact, direction, service support had an indirect effect on children's emotional intelligence through maternal expectation for their own children.

• Journal of Digital Convergence
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• v.14 no.4
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• pp.325-336
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• 2016

This study was aimed to identify the effects of social intelligence and burnout on the turnover intention in nurses as a descriptive study. The data were collected between August 3 and September 1, 2015. A total of 188 nurses working at university medical centers and general hospitals located at J city and D city were participated. The collected data were analyzed using frequency, mean and standard deviation, t-test, ANOVAs, Pearson's correlation coefficients and hierarchical regression analysis. In turnover intention, there were significant differences in education, age, job preference of nurse, work period and position. Burnout showed significant effect in social intelligence and turnover intention. Social intlligence did not have control effect between turnover intention and job burnout. This findings suggested that to prevent the nurse's turnover intention, the education for social information, social skill and social awareness has to be programmed for the development of social intelligence.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.3
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• pp.194-202
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• 2019

This study examined the emotional intelligence and social support in relation to resilience in order to identify the factors influencing resilience in student nurses. The participants were 228 student nurses from two colleges in B City. The data were analyzed using a t-test, ANOVA, Pearson correlation coefficient, Scheffe test and multiple regression analysis by SPSS ver. 21.0. The mean score for emotional intelligence, social support, and resilience level was 5.36 out of 7 points, 4.13 out of 5 point, and 2.68 out of 4 points, respectively. Resilience was positively correlated with emotional intelligence (r=.665, p<.001) and social support (r=.495, p<.001). The results of this research suggest that social support is an important variable affecting resilience in student nurses. The factors affecting resilience were social support (${\beta}=.464$, p<.001), emotional intelligence (${\beta}=.169$, p=.004), and aptitude (${\beta}=.162$, p=.006). Resilience explained 50.4% of the variance in social support, emotional support, and aptitude. To increase the resilience of student nurses, managers need to develop resilience programs and training for managing social support, emotional intelligence, and aptitude.

• Culinary science and hospitality research
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• v.21 no.1
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• pp.58-76
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• 2015

This study explores the influence of social intelligence (SI) and emotional intelligence (EI) on employees' job engagement and organizational commitment in deluxe (five-star) hotels in Korea, and seeks to analyze the mediating effects of employees' job engagement on the relationship between SI, EI, and employees' commitment. The sample for the survey was collected from 419 F & B employees. The results of structural equation modeling show that employees' SI had a positive effect on job engagement and organizational commitment. EI also had a positive effect on job engagement but not on organizational commitment. In addition, the findings demonstrate that employees' job engagement mediated the effect of EI on organizational commitment. SI and EI are crucial requirements among hotel employees who depend on cooperation between colleagues.

• Korean Journal of Child Studies
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• v.31 no.3
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• pp.199-214
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• 2010

This study examined the effects of siblings, emotional intelligence (E.I.), and conflict solving strategies (integrating-compromising strategy/ dominating strategy) on children's social competence. The subjects were 421 6th graders (231 boys, 190 girls) in Seoul. The children filled out questionnaires on their siblings, E.I., and conflict solving strategies. Their teachers were asked to rate the children's social competence. Mediational analyses were conducted using structural equation modeling. Both integrating-compromising strategies and dominating strategies mediated the relationship between E.I. and social competence. Children with higher E.I. reported that they used more integrating-compromising strategies, which in turn was related to higher social competence. Those who scored low on E.I. reported that they used more dominating strategies, which in turn was related to lower social competence. Although the effects of siblings did not have any direct effects on social competence, it was found to be related to the type of conflict solving strategies most frequently used. Compared to the children with siblings, the children without siblings used more dominating strategies, which in turn contributed to lower social competence.

• Educational Technology International
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• v.13 no.1
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• pp.1-25
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• 2012

Despite the relatively short history of Social Network Sites or Services (SNS), it has quickly gained popularity with more than seven hundred million users all over the globe. The SNS emerged as one of the strongest cultural influences for the contemporary society. The SNS would provide both chances and challenges for Education. The main purpose of the article was to explore the way education react and adapt to the emergence of social network and SNS. It tried to provide major theoretical grounds that bridge education and social network. In the due process, the researchers have examined the curriculum and instructional design process of education from the perspective of disruptive and sustainable aspect of SNS technology. Consequently, four major theoretical grounds were identified and reviewed: Gibson's theory of affordance, Vygotsky's social constructivism, Rha's human visual intelligence theory, and the network theory. By investigating these theories, the educational potentials of social network and SNS were emerged. The SNS was viewed as a new medium with abundant potentials of expanding the learning space, empowering the affective aspects of learning, and facilitating the formation of group intelligence. Finally, some future implications and challenges of SNS were suggested.

• Journal of Agricultural Extension & Community Development
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• v.19 no.4
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• pp.881-904
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• 2012

This study was to investigate the relationship among emotional intelligence, social support and parent-child communication of multicultural primary school students in rural areas. All of the students for the study were sampled from three multicultural primary schools in rural areas. About 10% among them were from multicultural family students. First, the result indicated that students' emotional intelligence was positively correlated with social support and open communication with their parents. Second, there were no significant differences between unicultural family and multicultural family in social support, parent-child communication, and emotional intelligence. Third, the result of regression analysis revealed that peer and family support were predictors of emotional intelligence of multicultural primary school students in rural areas. The implications for the improvement strategy for multicultural primary school in rural ares were suggested.

• International Journal of Contents
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• v.8 no.3
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• pp.1-6
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• 2012

This study establishes a simple Causal Map in order to understand the structure of Social Network Services(SNS). From this, the paper proposes a simulation with drawing Simulation Model and it examines whether a Dunbar Number is available for the emergence of collective intelligence based on an on-line network. Through my analytical research, it turn out both Closed SNS and Open SNS have their own Dunbar Number. However, it appear that Open SNS can expand infinitely as it has a unique property namely weak tie. This implies that it is significant for a system or policy to be developed in order to overcome the problem of Dunbar Number, whereas restricting the extension of a network by considering the Dunbar Number would have a negative impact on emergence of collective intelligence.

• Korean Journal of Human Ecology
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• v.14 no.3
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• pp.379-386
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• 2005

Bowlby has proposed that child-mother attachment is important in the child's representation of self. In this study, the child's emotional intelligence was examined in connection with child-mother attachment with a sample of 5-year-olds. The quality of attachment was assessed based on the child's behavior on reunion following a separation, using a SSP (Strange Situation Procedure) system devised by Main and Solomon. The emotional intelligence was assessed with Lee's Scale for young children. The results show significant connections between child-mother attachment and the emotional intelligence. Specific areas of emotional intelligence are related to particular patterns of attachment. Namely, securely attached children are assessed significantly higher than the unsecurely attached, not only in the ability to identify and control their own emotions, but also in the ability to control others' emotional state. Also, securely attached children perceive their social competence significantly higher.