• Journal of Digital Convergence
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• v.13 no.12
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• pp.179-185
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• 2015

Along with the recent advances of mobile internet technology, use of social network service(SNS) is very common among adolescents or college students in their daily lives. Although there have been a lot of studies on Internet addiction or mobile phone addiction, however, there were little research on SNS addiction so far. Scholars investigated somewhat broader and obscure phenomenon of Internet addiction. In this regard, the current study tried to examine factors which influence SNS addiction behavior. Unlike Internet addiction, there are positive influencing factors such socialization, enjoyment as well as problematic ones like loneliness. Data were collected from college students in Korea to examine how those factors influence addiction behavior and hypotheses were tested using the partial least square method. All three factors, socialization, enjoyment, and loneliness, were found to significantly influence SNS addiction and socialization was positively associated with enjoyment.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.17 no.1
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• pp.191-197
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• 2017

The purpose of this study was to identify the predictive power of the effect of pre-early childhood teachers' self-efficacy and ego resiliency on the SNS addiction tendency. To this end, a self - administered survey was conducted for 117 students in the first, second, and third grades of junior college of junior college in metropolitan area and multiple regression analysis was performed based on the collected data. The research findings showed that self-efficacy and ego resiliency had a negative effect on SNS addiction tendency. This suggests that self-efficacy and ego resiliency are statistically significant variables in predicting pre-early childhood teachers' SNS addiction tendency. These results also suggest that specific measures for enhancing self-efficacy and ego resiliency should be considered as precautionary measures to prevent SNS addiction of pre-early childhood teachers.

• The Research Journal of the Costume Culture
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• v.22 no.5
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• pp.834-847
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• 2014

This study investigated the relationship of fashion brand SNS characteristics, relationship quality (satisfaction, trust, and commitment) and purchase intention. The study focused on Facebook and also examined the difference between fashion involvement groups. This study targeted consumers who have used fashion brand Facebook and are aged between 20s and 30s. Data collection was conducted through surveys, and a total 205 questionnaires were collected for the final statistical analysis. The major findings of the study were as follows. First, three characteristics of fashion brand SNS, which were entertainment, interactivity, and providing information, influenced positively on SNS users' satisfaction. Entertainment had the greatest influence on satisfaction, and providing information and interactivity followed. Second, satisfaction for fashion brand SNS influenced positively on trust and commitment. Also, trust to fashion brand SNS demonstrated a positive influence on commitment. Third, trust and commitment on fashion brand SNS both influenced positively on purchase intention. Fourth, the fashion involvement groups showed differences in fashion brand SNS characteristics, relationship quality, and purchase intention. The high involvement group showed much higher results in all aspects then did the low involvement group. Based on the above results, this study has a significant value which suggests directions for future research. Also, this paper is expected to provide managerial implications to fashion companies which need to develop SNS marketing strategies.

• Journal of Digital Convergence
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• v.17 no.5
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• pp.295-301
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• 2019

This study examined the effect of insecure attachments, depression, life satisfaction on SNS addiction tendency. Participants were recruited from 3 universities in Seoul, Daejeon and Kyungbook Province. Participants were given the survey including instruments that measured adult attachment, depression, life satisfaction, and SNS addiction tendency. Total 310 participants' data were used for analysis. Multiple regression revealed that SNS addiction tendency was predicted by anxious attachment(${\beta}=.32$, p<.001), depression(${\beta}=.17$, p=.003), and gender(${\beta}=-.25$, p<.001), except life satisfaction, and 26% of the variance was explained by these variables. These findings can help to expand the understanding and the development of the effective prevention/intervention programs of SNS addiction tendency for university students.

• The Journal of the Convergence on Culture Technology
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• v.8 no.6
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• pp.233-241
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• 2022

The purpose of this study is to verify the relationship between sports players' SNS interaction, relationship commitment, relationship satisfaction, and loyalty. To this end, a total of 000 copies of data were obtained by conducting a survey on the online community of sports stars who followed or subscribed to sports stars through the 2022 Beijing Winter Olympics, and the results were as follows. First, it was found that sports players' SNS interaction had a positive effect on relationship commitment. Second, it was found that sports players' SNS interaction had a positive effect on relationship satisfaction. Third, it was found that relationship commitment had a positive effect on relationship satisfaction. Fourth, it was found that relationship commitment had a positive effect on loyalty. Fifth, relationship satisfaction was found to have a positive effect on loyalty.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.15 no.4
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• pp.44-53
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• 2016

The era of Big Data has come and the importance of Big Data has been rapidly growing. The part of transportation, the Four-Step Travel Demand Model(FSTDM), a traditional Trip-Based Model(TBM) reaches its limit. In recent years, a traffic demand forecasting method using the Activity-Based Model(ABM) emerged as a new paradigm. Given that transportation means the spatial movement of people and goods in a certain period of time, transportation could be very closely associated with spatial data. So, I mined Spatial Big Data from SNS. After that, I analyzed the character of these data from SNS and test the reliability of the data through compared with the attributes of TBM. Finally, I built a database from SNS for the operation of ABM and manipulate an ABM simulator, then I consider the result. Through this research, I was successfully able to create a spatial database from SNS and I found possibilities to overcome technical limitations on using Spatial Big Data in the transportation planning process. Moreover, it was an opportunity to seek ways of further research development.

• Convergence Security Journal
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• v.23 no.4
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• pp.53-59
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• 2023

Various problems are occurring as teachers and student's parents communicate directly through mobile phones. In this study, a service model was proposed that allows teachers and student's parents to communicate through SNS platforms without knowing each other's mobile phone numbers. In the civil complaint communication service model proposed in this study provides, communication key sets are provided as public data, and a commonly used SNS platform uses the relevant relationship information to implement communication. This model also has expandability that can be applied not only to teachers, but also to ① officers who need to communicate with the parents of soldiers, ② nursing, health and nursing care personnel who frequently contact patient caregivers, and ③ welfare officials.

• Journal of the Korean Society of Clothing and Textiles
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• v.41 no.5
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• pp.858-871
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• 2017

The present study purported to understand the relationships between SNS appearance-related photo activity, body image and self-esteem among young women. Objectification Theory and Social Comparison Theory explain the process how young women's SNS appearance-related photo activity influence their body satisfaction through a perceived media pressure, objectification of their own bodies and appearance comparison. These process ultimately affect the self-esteem of young female users. A research model was proposed and related hypothesis were examined. We collected an online questionnaire from 400 female participants in their 20's. Data were analyzed using SPSS 23.0 and AMOS 18.0. Structural equation modeling analyses suggested that the proposed research model provided a good fit to the data and supported most hypothesis. The results indicated that the level of SNS appearance-related photo activity significantly influences young female user's body satisfaction and self-esteem. The findings of this study were consistent with previous literature on media and body image. Limitations and future research suggestions were also described.

• Research in Community and Public Health Nursing
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• v.31 no.3
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• pp.290-299
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• 2020

Purpose: The purpose of this study is to examine the mediating effect of sleep quality in the relationship between academic stress and social network service (SNS) addiction tendency among adolescents. Methods: The participants were composed of 204 high school students who were enrolled at private schools in Incheon metropolitan city. Data were collected from August 16 to September 10, 2019. The collected data were analyzed using a regression analysis, and SPSS Process Macro was used to test the mediating effect. Results: The direct effect of academic stress on SNS addiction tendency and the indirect effect of academic stress mediated with sleep quality about SNS addiction tendency were statistically significant. Conclusion: These findings suggest that positive intervention for academic stress and effective intervention program enhancing sleep quality should be provided for adolescents in order to prevent SNS addiction.

• Journal of the Korea Convergence Society
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• v.9 no.7
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• pp.17-24
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• 2018

One of the major issues in big data processing is extracting keywords from internet and using them to process the necessary information. Most of the proposed keyword extraction algorithms extract keywords using search function of a large portal site. In addition, these methods extract keywords based on already posted or created documents or fixed contents. In this paper, we propose a KAES(Keyword Advertisement Extraction System) system that helps the potential shopping keyword marketing to extract issue keywords and related keywords based on dynamic instant messages such as various issues, interests, comments posted on SNS. The KAES system makes a list of specific accounts to extract keywords and related keywords that have most frequency in the SNS.