• IE interfaces
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• v.6 no.1
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• pp.47-54
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• 1993

Sequential Numbering System(SNS) is one of the production and inventory management system, which is more effective and practical to minor enterprises than Material Requirement Planning (MRP) system or Just-in-Time(JIT) system. The purpose of the paper is the structured analysis of SNS as the first phase of software development. Data Flow Diagram(DFD), Data Dictionary(DD), and Mini-Specs are used to analyze the system through the second level. The result can be exploited to SNS software design and programming.

• Journal of the Korean Society for Marine Environment & Energy
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• v.20 no.2
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• pp.117-125
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• 2017

SNS Big-data Analysis means to find potential value from big data which has produced by the social media. In this paper, SNS Big-data has been analysed to find Korean concerns by using 24 key words from the marine and fisheries sector. Among 24 key words, seafood, shipping and Dokdo Island are the most mentioned ones. Some key words such as ocean policies and marine security that have less concerns have bess mentioned less. Also, key words that are led by government are mostly mentioned by news media, but key words that are led by private sector and have intimate relationship with people's lives are mostly mentioned by Blogs and Twitters. Therefore, reflecting close national concerns by SNS Big-data Analysis and especially resolving negative factors are the most significant part of the policy establishment. Also, differentiated promotion methods need to be prepared because the frequency of key words mentioned from each type of media are different.

• Smart Media Journal
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• v.11 no.1
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• pp.58-66
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• 2022

As Internet technology develops, SNS users are increasing. As SNS becomes popular, SNS-type crimes using the influence and anonymity of social networks are increasing day by day. In this paper, we propose a fake account classification method that applies machine learning and deep learning to statistical and image data for fake accounts classification. SNS account data used for training was collected by itself, and the collected data is based on statistical data and image data. In the case of statistical data, machine learning and multi-layer perceptron were employed to train. Furthermore in the case of image data, a convolutional neural network (CNN) was utilized. Accordingly, it was confirmed that the overall performance of account classification was significantly meaningful.

• Journal of Distribution Science
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• v.15 no.11
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• pp.31-39
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• 2017

Purpose - This research aims to examine the influence of social capital formed on SNS on SNS users' life satisfaction. This research divides social capital into bridging and bonding social capital based on Social Capital Theory and suggests that each type of social capital will have a positive impact on SNS users' life satisfaction. In addition, this research suggests the self-construal of SNS users as a moderating variable based on Self-Construal Theory. Research design, data, and methodology - To test the hypotheses presented, an online survey was conducted with adult participants. An online research company was hired to conduct an online survey; survey participants were volunteer adult participants residing in Korea. And data was analyzed using SPSS. Results - Analysis results showed that the impact of bonding social capital on life satisfaction was not statistically different between SNS users of differing self-construals(independent vs. interdependent self-construal). However, this study also determined that the impact of bridging social capital on life satisfaction was greater for SNS users with an interdependent self-construal as opposed to those with an independent self-construal. Conclusions - The results of this study expand the scope of available research on social capital formed on SNS and provide practical implications for SNS providers.

• The Journal of Information Systems
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• v.30 no.4
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• pp.153-171
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• 2021

Purpose This study is to phenomenologically discover key antecedents and outcomes of behavioral process of SNS users who have multiple SNS sub-accounts. Unlike previous studies that focused on user behavior in the context of a specific SNS platform, this study attempts to describe how and why individual manages their multiple sub-accounts across a variety of SNS platforms. Design/methodology/approach By applying the grounded theory methodology (GTM) to elucidate the unique behavior in SNS platforms, this study has conducted in-depth interview with 14 respondents who handle multiple accounts across the SNS platforms. As a results of analyzing the interview manuscripts, this study has extracted 47 concepts, 10 sub-categories and 6 main categories by conducting open coding, axis coding, and selective coding. Findings By analyzing interview data, this study has derived main categories such as account management, impression management, self-categorization, authority to determine the relationship, digital shadow work, and portfolio SNS accounts from qualitative interview data. This study has also conducted a process analysis that represents how main categories could be inter-related. Based on findings, this study provides a new phenomenological perspective to understand the behavioral process of SNS users' sub-account usage experience.

• Journal of the Korea Convergence Society
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• v.9 no.4
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• pp.453-460
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• 2018

The present study was conducted to provide the basic data for SNS addiction interventions by identifying the convergence effect of academic resilience, social support, and subjective happiness on SNS addiction tendency of university students. The study was conducted on 270 university students and the IBM SPSS 23.0 program was used for data analysis. The findings of the present study were as follows. 1) The SNS addiction tendency was found to be negatively correlated with academic resilience (r=-.17, p=.005) and social support (r=-.20, p=.001). 2) The significant influencing factors were number of daily use hours (${\beta}=4.40$) and social support (${\beta}=-0.28$), and their explanatory power was 11.2% (F=4.08, p<.001). Therefore, development and application of programs considering the general characteristics of university students are necessary to reduce the SNS addiction tendency and increase their quality of life.

• Journal of Digital Convergence
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• v.15 no.12
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• pp.147-158
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• 2017

The purpose of this study is to investigate the determinants of the SNS usage time depending on SNS motive of the youth workers. Although previous studies revealed that there are many motivations for SNS usage, it is not known which factors determine usage time of each SNS motive. In this study, we constructed the unbalanced panel data of the Korean Education & Employment Panel data. Among three different SNS motives such as information exchange, social networking, and fun pursuit, gender, physical health, extraversion, and conscientiousness affected the usage of SNS when the motivation was information exchange. When it was personal connection, the size of organization, education, physical health, subjective happiness, job satisfaction, neuroticism, and agreeableness did. When it was fun & interest, foreign company, status of children, subjective happiness, and job satisfaction did. Based on the findings, we discussed theoretical and practical implications.

• Journal of Convergence for Information Technology
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• v.9 no.8
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• pp.170-179
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• 2019

This study was narrative research study to find out the effect of adolescents' social media addiction tendencies on interpersonal relationships. This research data was collected from 250 middle high school students in G city, Gyeongnam and collected data was analyzed with t-test, ANOVA, Pearson's correlation, Multiple regression coefficient using SPSS 23.0 program. SNS addiction tendency scores according to general characteristics of adolescents were gender (t= -2.25, p = .011), duration of SNS use (F= 3.15, p= .015), average usage time (F= 15.87, p=. 001), SNS media (F= 3.12, p= .027), and SNS media usage time (F= 6.58, p= .001) were statistically significant. As a result of verifying the correlation of main variables, addiction tendency of SNS had statistically significant static correlation with interpersonal relationships. Influencing factors of interpersonal relations were Addiction tendency of SNS(${\beta}=-.64$, p=.<001) Interpersonal relationship explained 37% of the total variability.

• The Journal of Economics, Marketing and Management
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• v.12 no.1
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• pp.77-88
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• 2024

Purpose: By studying the effects of SNS advertising characteristics and SNS advertising music characteristics conducted by companies on advertising preference and advertising effects, we would like to suggest a plan for effective SNS advertising operation. Research design, data and methodology: In this study, a total of 483 surveys were collected for college student consumers in their 20s who had experience seeing advertisements on SNS, and 458 were used for the final analysis. In addition, the collected questionnaire data were analyzed using statistical programs SPSS 24.0 and AMOS 24.0, and Sobel Test was performed through structural equation modeling and regression analysis. Results: Advertising preference, purchase, and recommendation intentions increased as consumers who saw advertisements on SNS perceived the characteristics of advertisements (information, entertainment, individuality, and interactivity). However, advertising preference was not formed by SNS advertising music characteristics (fun, information delivery, unconscious stimulation, and emotional homogeneity). In addition, the higher the perception of SNS advertising music characteristics (fun, information delivery, unconscious stimulation, and emotional homogeneity), the more advertising effects such as purchase and recommendation intentions were linked, and the higher the perception of SNS advertising music characteristics (fun, information delivery, unconscious stimulation, and emotional homogeneity), the more advertising effects such as purchase and recommendation intentions could be created. Finally, it was confirmed that advertising preference had a partial mediating effect between SNS advertising characteristics and advertising effects, and between SNS advertising music characteristics and advertising effects. Conclusions: Unlike previous studies that have investigated the causal relationship of advertising effects according to sub-factors such as SNS advertising characteristics and SNS advertising music characteristics, it is significant in that it analyzes the variables used in the study as secondary factors.

• Journal of Information Technology Applications and Management
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• v.21 no.1
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• pp.35-51
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• 2014

The popularity of Social Network Service (SNS) providing web sites has increased continuously by using a variety of mobile devices. The study results show that security of SNS, efficiency of SNS, safety, empathy of SNS quality, easy of use of SNS, assurance of SNS, service variety of SNS are having positive impact to some degree on the user satisfaction. Further, the user satisfaction of SNS users have a positive impact on the continuance usage intention of SNS users. This results show that various SNS qualities are necessary to actively explore and obtain further information that users intend to find, while they are insufficient in function to provide the information other users require or exchange information with other users through the SNS.