• Journal of the Korea Society of Computer and Information
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• v.26 no.1
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• pp.259-264
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• 2021

SNS has recently reached the level of providing financial services to customers through a mobile payment system that goes beyond the existing payment system using Fintech, which is a fusion of financial industry and information technology. These mobile payment systems are increasing in scale as time goes by, and their functions are reaching the same level as general financial services. This study is an empirical study to examine what is the most important factor in Internet banking by targeting users who use WeChat Pay among Chinese Internet bank users with the highest Fintech Adoption rate. SNS has recently reached the level of providing financial services to customers through a mobile payment system that goes beyond the existing payment system using Fintech, which is a fusion of financial industry and information technology. As a results, 2 factors positive influence on Acceptance intention and Customer satisfaction. These mobile payment systems are increasing in scale as time goes by, and their functions are reaching the same level as general financial services.

• International Commerce and Information Review
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• v.13 no.3
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• pp.55-74
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• 2011

Web Service applications based on the social relation such as Social Network Service(SNS), Social Medias are making strong blast. Social Computing which is widely spreading to worldwide is affecting to our life including policies, economies, societies and culture. Based on Web 2.0, various services like as Social Collaboration, Social Publishing, Social Feedback are supplied, more evolved social computing services, Social Connection, Augmented Reality, will be served for the next days from now. These network based services, Social Network Service or Social Media frequently used terms, are not defined exactly and their characteristics are not gotten to the bottom yet. Theoretical and systematic studies on these themes are not made also. Applications to business area, especially the receptivity to social computing in international trade is barely made to these days. This study focuses on the concepts, characteristics and sorts of social computing and purposes to consider its possibilities of application of social computing to international trade. Considering the advantage of Social network service, it can be used in international trade, a kind of B2B transaction, while existing social network is mainly applied to B2e transaction.

• Journal of KIISE
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• v.41 no.10
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• pp.785-791
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• 2014

Twitter is one of the most famous SNS(Social Network Service) in the world. Twitter spammer accounts that are created easily by E-mail authentication deliver harmful content to twitter users. This paper presents a spammer detection method that utilizes features based on the relationship between users in twitter. Relationship-based features include friends relationship that represents user preferences and type relationship that represents similarity between users. We compared the performance of the proposed method and conventional spammer detection method on a dataset with 3% to 30% spammer ratio, and the experimental results show that proposed method outperformed conventional method in Naive Bayesian Classification and Decision Tree Learning.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.12 no.3
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• pp.75-86
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• 2017

The development of web technologies and the generalization of smartphones have dramatically increased the number of social media users using the Internet. As a result, companies are perceived social media as a major marketing tool and operate a variety of SNS channels. In particular, start-ups conducting businesses with limited resources, social media is being used as an effective marketing tool to meet many potential customers at a low cost. Among them, facebook is the most used channel in the world and plays an important promotional tool not only in overseas but also in marketing activities of domestic start-ups. The purpose of this study is to analyze the relationship between satisfaction and purchase intention according to four personal characteristics of users who use social media contents and to measure the mediating effect of satisfaction on the relationship between content type and purchase intention. To this end, we classified into three types based on the previous research, and social media content is provided to 200 fans of Minbak Danawa(Minda), one of representative start-ups related to accommodation, The questionnaires were conducted for 3 weeks, and a total of 145 copies were collected. All the collected questionnaires were used for statistical analysis through SPSS 18.0. The empirical results show that all three types of content, such as task-oriented, self-oriented, and interaction-oriented, have a significant effect on the satisfaction level. Among them, it is confirmed that the satisfaction level plays a mediating role on the relationship between task-oriented contents and purchase intention. And the user 's personal characteristics showed a partially moderate effect on the satisfaction according to the content type. Therefore, social media content provided by corporations has an important effect on consumer satisfaction and purchasing, in order for start-up to prevail in the market, it is necessary to have an operational strategy to communicate with customers continuously through systematic contents analysis and planning. The result of this study suggests effective ways to build a social media marketing strategy for start-ups and suggests ways to utilize contents considering the characteristics of internet users.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2013.10a
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• pp.955-956
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• 2013

최근 블로그, 카페 및 SNS(Social Network Service)와 같이 다양한 소셜 네트워크 환경을 통해 사용자 자신의 의견 등을 표현하고 있다. 이에 이러한 데이터를 수집 분석하는 시스템을 개발하는 업체에서는 소셜 네트워크 상의 정보를 수집하여 데이터의 패턴을 분석하여 마케팅 등에 이용하는 기술을 제안하고 있다. 그러나, 기존 기술에서는 소셜 네트워크 상에 존재하는 다양한 유형의 문서나 정보를 모두 수용할 수 없어서 그 분석에 제한이 있다. 본 논문에서는 이러한 문제점을 해결하기 위해 소셜 네트워크 정보를 실시간으로 수집 및 분석함에 있어서, 소셜 네트워크상에 존재하는 다양한 유형의 문서나 정보를 모두 수용할 수 있고, 이용자의 필요에 따라 분석 결과를 제공할 수 있는 소셜 네트워크 정보 수집 및 분석 시스템을 제공하고자 한다.

• Journal of Korea Society of Industrial Information Systems
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• v.27 no.5
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• pp.13-24
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• 2022

SNS has become a very close service to our daily life. As marketing is done through SNS, places often called hot places are created, and users are flocking to these places. However, it is often crowded with a large number of people in a short period of time, resulting in a negative experience for both visitors and service providers. In order to improve this problem, it is necessary to recognize the congestion level, but the method to determine the congestion level in a specific area at an individual level is very limited. Therefore, in this study, we tried to propose a system that can identify the congestion level information and the characteristics of visitors to a specific tourist destination by using the data on the SNS. For this purpose, posting data uploaded by users and image analysis were used, and the performance of the proposed system was verified using the Naver DataLab system. As a result of comparative verification by selecting three places by type of tourist destination, the results calculated in this study and the congestion level provided by DataLab were found to be similar. In particular, this study is meaningful in that it provides a degree of congestion based on real data of users that is not dependent on a specific company or service.

• Journal of Digital Contents Society
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• v.16 no.4
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• pp.503-512
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• 2015

The purpose of this study is to examine facebook users' self-presentation on facebook in terms of narcissism and the relationship of narcissistic self-presentation and variables of self-esteem, using patterns, and information types. The results showed that facebook users' self-presentation were not likely to be narcissistic. In self-presenting on facebook users were likely to be exhibition but they are not likely to be ingratiating and competent. And this study failed to support the association of narcissistic self-presentation and self-esteem. But results suggested that facebook using patterns including frequency and period of use affected narcissistic self-presentation. Finally, profile information, but not posting information was correlated with narcissistic self-presentation.

• The Korean Journal of Applied Statistics
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• v.24 no.6
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• pp.1237-1248
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• 2011

Social network analysis(SNA) has been recently applied to business areas such as social network services (such as Facebook and Twitter). In addition, the mobile telecommunication field attempts to analyze CDR(call detail record) data and apply customer relationship management and customer churn management through the use of social network analysis. The paper analyzes links between ego and alter based on ego-network and discovers four kinds of customer roles and then provides insights as a tool for customer relationship management or customer management.

• Informatization Policy
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• v.30 no.3
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• pp.3-28
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• 2023

This study aims to analyze the usage behavior of e-government service users based on the e-government maturity model and provide suggestions for advancement of the e-government services. The changes in Korea's e-government services were analyzed as follows; 1) Proportion of use of e-government services in Korean public services, 2) E-government service types/stages use, 3) Service use by platform 4) User response to e-government service 5) Users' requests for future e-government service usage methods. For the analysis, this study used data from Korea's 2012-2020 e-government usage behavior survey data. As a result of the analysis, first, the proportion of e-government service has been continuously increasing, and second, the use of the e-participation stage is relatively low compared to the presenting information, interaction, and transaction stages. Third, by platform, e-government service has been expanded to various access platforms such as mobile, kiosk, and SNS centering on the web. Fourth, users' satisfaction with e-government service is very high. However, to vitalize e-government services, users requested improvements such as providing one-stop integrated services and simplifying authentication procedures. Based on the analysis results, this study 1) reflects the user's point of view in the maturity model of e-government, 2) considers access to various platforms according to the development of digital technology, 3) improves the e-government maturity model through data-based analysis such as user usage behavior suggested the need.

• Journal of the Korean Society for Library and Information Science
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• v.48 no.3
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• pp.237-264
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• 2014

This study aims to investigate the influence of personality styles on information seeking behaviors of undergraduate students. To this end, first, Korean Enneagram Personality Training Indicator (KEPTI) tool was used to measure Enneagram personality styles. Next, to measure information seeking activities, 200 of undergraduate students were recruited, and a questionnaire with 13 questions was designed. The questions included information usage motivation, how to collect and search scholarly information, challenges faced in the search process, level of satisfaction, and the use of SNS (Social Network Service). This research concluded that personality traits affected information seeking behavior and Enneagram types of each center of energy consistently did not show similar information seeking behavior.