• Journal of the Korea Society of Computer and Information
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• v.25 no.3
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• pp.163-168
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• 2020

In this paper we propose a The purpose of this study was to examine the psychological characteristics of youth mobile phone use. Internally, we want to find out about self-regulation, interpersonal relationship, pleasure, and desire to achieve reality. For the research, the Korea Information Society Agency utilized 568 data based on self-control and user motivation among long-term tracking data of Internet and mobile phone addiction in 2018. The SPSS window 23 version was used for data analysis, and the data collected were analyses to identify the subject's demographic characteristics. In addition, the correlation of variables between groups was investigated by analyzing dummy variables, and the results of the study were as follows. First, the addiction was slightly higher in mobile phone game groups than in social network service (SNS) groups, but in the same period of use, social network service (SNS) groups showed a higher desire for interpersonal relationships. In the desire to avoid reality, mobile phone game groups showed a higher gap than social network service (SNS) However, there was no difference between groups in terms of pleasure and desire to achieve. The results of this study indicated that the content of mobile phone use differed in factors affecting mobile phone overuse, and suggestions for follow-up research were discussed.

• 한국벤처창업학회:학술대회논문집
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• 2019.11a
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• pp.123-128
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• 2019

최근 스마트 기기의 발전 및 보급 확대에 따라 사용자의 범위는 계속해서 증가하고 있다. 이에 따라 모바일 쇼핑 이용자들이 지속적으로 늘고 있고, 광고 또한 인터넷 기반에서 모바일 플랫폼 기반으로 변화하고 있는 추세이다. 모바일 기기의 중요성이 커지고 편의성이 증대되면서 소비자들의 구매방법에도 많은 변화가 일어나고 있는데, 정보를 탐색하고, 구매를 결정하고, 결제하는 행위 등 모바일에서 이루어지는 비중이 늘어나면서 앱을 구성하는 것 또한 중요한 마케팅 전략으로 자리잡고 있다. 본 연구의 목적 역시 사용량이 급증하게 된 모바일 쇼핑에서 SNS활용도의 조절효과를 중심으로 하여 광고 유형과 애플리케이션 특성이 소비자들의 구매의도에 미치는 영향에 대해서 살펴보고 결과를 제시하여 관련 업계에 도움을 주고자 한다. 본 연구에서는 모바일 쇼핑 이용자들의 모바일 쇼핑을 통한 구매의도에 미치는 영향 요인을 파악하기 위한 선행연구와 이론적 배경을 통해 모바일 광고유형, 앱 특성에 관한 고찰과 구매의도와의 인과관계를 살펴보았다. 연구의 목적은 모바일 쇼핑 이용자들의 모바일 쇼핑을 통한 구매의도에 미치는 영향 요인을 파악하고, 변수들 간의 관계를 규명하는데 있다. 구매의도에 영향을 미치는 요인을 광고 유형, 앱 특성으로 구분하고 이들 변수들이 구매의도에 미치는 영향력을 조절하는 변수로 SNS활용도를 도입하였다.

• Proceedings of the Korea Information Processing Society Conference
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• 2013.05a
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• pp.1120-1123
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• 2013

최근 데이터의 범람과 더불어 빅데이터 시대가 도래 하면서 SNS 라는 새로운 플랫폼을 마케팅에 활용하고자 하는 기업들이 늘어나고 있다. 기업들은 이러한 SNS 상의 데이터를 분석하고 이를 공개 API 를 통해 마케팅에서 활용할 수 있다. 하지만 SNS 업체들은 과도한 트래픽 유발 및 보안상의 이유로 공개 API 의 사용을 제한하고 있다. 따라서 제한된 사용 횟수 안에서 효과적으로 공개 API 를 사용할 수 있는 고객맞춤 최적화가 필요하다. 기존의 멀티캐스팅을 이용하면 이러한 고객맞춤 최적화가 가능하지만 SNS 의 특성을 반영한 것이 아니기 때문에 SNS 마케팅에서 활용하는데에는 한계가 있을 수 밖에 없다. 본 논문에서는 이러한 멀티캐스팅을 이용한 고객맞춤 최적화의 한계를 보완하고 SNS 의 특성을 보다 잘 활용할 수 있는 새로운 SNS 마케팅을 위한 고객맞춤 최적화를 제시한다.

• Journal of Internet Computing and Services
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• v.19 no.4
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• pp.123-133
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• 2018

This paper examined how the millennial generation consumes mobile news through social networking sites with regards to user patterns, preference topics and news values, and whether news topics and news values may influence their overall mobile SNS news consumption and interactivity. The findings show that more than 2/3 of respondents consumed mobile SNS news at least once everyday for 30minutes to one-hour. Male millennials tended to use Facebook and Kakao-talk more than female. While the portal site was the most accessed channel for consuming mobile news, SNS was the second, more than the combined use of national daily papers, TV, and internet newspapers. The respondents' demographic characteristics and news topics also affect the form and degree of news interactivity. With regards to their preferences and prioritization of news values, millennials tend to perceive 'impact' and 'usefulness' as being most important, despite the differences of their demographic characteristics. They also preferred those news values most. There were significant differences in terms of preferred news topics according to the demographics' characteristics.

• KIPS Transactions on Software and Data Engineering
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• v.2 no.9
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• pp.603-614
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• 2013

The popularity of mobile devices provides their users with a circumstance that services and information can be accessed wherever and whenever users need. Accordingly, various studies have been proposed personalized methods to improve accessibility of mobile users to information. However, since these personalized methods require users' private information, they gives rise to problems on security. An efficient way to resolve security problems is to estimate user information by using their online and offline behavior. In this paper, for this purpose, it is proposed a novel user information identification system that identifies users' personal and social information by using both his/her behavior on social network services and proximity patterns obtained from GPS data. In the proposed system, personal information of a user like age, gender, and so on is estimated by analyzing SNS texts and POI (Point of Interest) patterns, while social information between a pair of users like family and friend is predicted with proximity patterns between the users. Each identification module is efficiently designed to handle the characteristics of user data like much noise in SNS texts and missing signals in GPS data. In experiments to evaluate the proposed system, our system shows its superiority against ordinary identification methods. This result means that the proposed system can efficiently reflect the characteristics of user data.

• 한국벤처창업학회:학술대회논문집
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• 2018.11a
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• pp.93-96
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• 2018

통계청 자료에 따르면 지난해 자영업 폐업률은 전년 대비 10.2% 포인트 높은 87.9%를 기록했다. 자영업 4개 업종인 도소매업, 음식, 숙박업은 지난해 48만 3985개가 새로 생겼으며 반면 42만 5203개가 문을 닫았다. 2018년 8월 통계청 자료에 따르면 온라인쇼핑 거래액은 전년 동월 대비 19.6% 증가했고, 모바일쇼핑 거래액도 모바일 이용 확산과 간편 결제 서비스 발전 등에 힘입어 전년 동월 대비 29.7% 증가하였다. 본 연구에서는 소매업인 온라인 쇼핑몰은 매년 20%대의 성장률을 보이고 있는 점에 주목해서 온라인 쇼핑몰의 매출 성과와 연관이 있는 방문 의도에 미치는 변수를 연구하고자 한다. 해마다 판매자가 증가하고 있는 온라인 쇼핑몰 업계는 치열한 경쟁과 늘어나는 마케팅 비용을 감당하지 못해 폐업의 수순을 밟고 있는 경우가 많다. 온라인쇼핑 운영자들이 하고 있는 대표적인 마케팅 방법인 블로그, 키워드 검색광고, SNS 채널 마케팅이 온라인 쇼핑몰의 방문 의도에 얼마나 영향을 미치고 있는지 연구 조사하고자 한다. 특히 온라인 쇼핑몰에 방문하는 사람들의 개인적 특성인 충동구매 성향, 다양성 추구 성향, 자기조절 성향을 조절 변수로 하여 개인 성향에 따라 각 독립변수들과의 방문 의도 상관관계를 알아보려 한다. 독립변수들이 방문 의도와의 관계를 실증 분석하여 온라인쇼핑몰의 준비하는 예비창업자나 기창업자들에게 보다 지속적인 기업성장과 매출성과에 도움이 되고자 한다.

• Information Systems Review
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• v.15 no.3
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• pp.1-37
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• 2013

This study is conducted to explore the possibility of service convergence to promote mobile learning. This study has attempted to identify how mobile learning service is provided, which services among them are considered most popular, and which services are highly demanded by users. This study has also investigated the potential opportunities for service convergence of mobile service and e-learning. This research is then extended to examine the possibility of active convergence of common services in mobile services and e-learning. Important variables have been identified from related web pages of portal sites using social network analysis (SNA) and association rules. Due to the differences in number and type of variables on different web pages, SNA was used to deal with the difficulties of identifying the degree of complex connection. Association analysis has been used to identify association rules among variables. The study has revealed that most frequent services among common services of mobile services and e-learning were Games and SNS followed by Payment, Advertising, Mail, Event, Animation, Cloud, e-Book, Augmented Reality and Jobs. This study has also found that Search, News, GPS in mobile services were turned out to be very highly demanded while Simulation, Culture, Public Education were highly demanded in e-learning. In addition, It has been found that variables involving with high service convergence based on common variables of mobile and e-learning services were Games and SNS, Games and Sports, SNS and Advertising, Games and Event, SNS and e-Book, Games and Community in mobile services while Games, Animation, Counseling, e-Book, being preceding services Simulation, Speaking, Public Education, Attendance Management were turned out be highly convergent in e-learning services. Finally, this study has attempted to predict possibility of active service convergence focusing on Games, SNS, e-Book which were highly demanded common services in mobile and e-learning services. It is expected that this study can be used to suggest a strategic direction to promote mobile learning by converging mobile services and e-learning.

• Journal of Information Technology Services
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• v.13 no.4
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• pp.205-230
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• 2014

In recent years, the social network service (SNS) and the location-based social network service (LBSNS) industry is expanding and the competition within the field is increasing much more. Since 2010, the full-scaled studies of SNS and LBSNS have begun. With the growth of SNS and LBSNS markets, SoLoMo (Social-Local-Mobile) is also becoming the trend for applications in different fields. However, despite the importance of SoLoMo, there have been little studies on the characteristics of SoLoMo applications. The purpose of this research is to investigate the effect of characteristics and perceived privacy risk of mobile location-based SNS on intention to use SoLoMo applications. For the purpose, we proposed a SoLoMo service acceptance model with TAM (Technology Acceptance Model) and the characteristics of SoLoMo applications. The characteristics consist of three factors, i.e. SNS, location, and mobile-related factors. This study also considered a gamification and a perceived privacy risk factor influencing on SoLoMo service usage in our proposed research model. The results of our empirical analysis using partial least squares (PLS) method show that the characteristics of SoLoMo applications including SNS, location, and mobile-related features, gamification, and perceived privacy risk have partially an effect on intention to use SoLoMo applications. Based on these results, SoLoMo-related companies will be able to increase the usage of SoLoMo services by differentiating their own strategies with these factors influencing on SoLoMo services.

• The Journal of the Korea institute of electronic communication sciences
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• v.8 no.9
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• pp.1359-1364
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• 2013

After platform changed from PC-based internet to mobile, SNS became new interactive media which relaces face-to-face interaction. the SNS users have already begun to recognize SNS as daily necessity. SNS market has been subdivided. In other words, SNS has entered into a period of vertical SNS that focus on contents and specific target. Therefore, It is necessary to analyze users for SNS planners. For this reason, analyzing why office workers who have the most powerful purchasing power use SNS is meaningful for SNS planners. Therefore, in this study, we analyzed the reasons for using SNS of office workers by studying relationship among office workers' stress, social support, self-expression and the use of SNS. As a result, the use of SNS has a significantly positive correlation with social support and self-expression. The self-expression in the SNS is not associated with stress, but rather it is the characteristics of the office workers. However the social support in the SNS affects to stress.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.7 no.6
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• pp.851-859
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• 2017

Today, with the advent and development of Social Network Service (SNS), various types of information that have been difficult to observe have been pouring out. Recently, Vertical Social Networking Service (SNS), a service that shares specific interests with users' Vertical Social Networking Service) is emerging as a major research area. Especially, various human, social and spatial characteristics can be observed through geolocation data and social data collected through mobile GPS, and it is used in various studies. In this study, we analyze the social data collected through the image - based vertical SNS Instagram, and measure the user 's experience based on the social media based on the user' s spatial context. Therefore, in this study, we investigate what types of spatial patterns exist between experiential elements of sharing experiences and geographical characteristics through social data, and examine a new model of shared experience structure through extracted data.