• Journal of Digital Convergence
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• v.12 no.7
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• pp.177-187
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• 2014

In this paper, representative social network services(SNS) of Korea, China, and America such as Cyworld, Renren and Facebook were analyzed in regards to their business strategies and successful factors. From the analysis results, it was found that their common business strategies are strengthening a sense of belonging by providing differentiated customer services and by increasing customer satisfaction and this kind of strategies were naturally connected to the corporate marketing. So, Maintaining their own differentiated services, SNS companies should make a constant efforts to meet customers' needs on the base of success factors. Companies which will carry out marketing with SNS should also improve their images through communication with customers, utilizing services provided by SNS companies which match well with companies using SNS as a means of marketing. As various extensive researches are being conducted on SNS which enabled online networking, such findings will be usefully referred for similar researches and will provide theoretical basis and practical guidelines for future researches.

• Journal of Intelligence and Information Systems
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• v.23 no.2
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• pp.89-105
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• 2017

As the advances of technology in mobile networking and the popularity of online social networks (OSNs), the mobile social networks (MSNs) provide opportunities for marketing strategy. Therefore, understanding the information diffusion in the emerging MSNs is a critical issue. The information diffusion address a problem of how to find the proper initial nodes who can effectively propagate as widely as possible in the minimum amount of time. We propose a new diffusion scheme, called Hotspot DBC, which is to find k influential nodes considering each node's mobility behavior in the hotspot zones. Our experiments were conducted in the Opportunistic Network Environment (ONE) using real GPS trace, to show that the proposed scheme results. In addition, we demonstrate that our proposed scheme outperforms other existing algorithms.

• Journal of KIISE
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• v.41 no.12
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• pp.1110-1116
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• 2014

Nowadays, social networking sites (SNSs), such as Twitter, LinkedIn, and Tumblr, are coming into the forefront, due to the growth in the number of users. While users voluntarily provide their information in SNSs, privacy leakages resulting from the use of SNSs is becoming a problem owing to the evolution of large data processing techniques and the raising awareness of privacy. In order to solve this problem, the studies on protecting privacy on SNSs, based on graph and machine learning, have been conducted. However, examples of privacy leakages resulting from the advent of a new SNS are consistently being uncovered. In this paper, we propose a technique enabling a user to detect privacy leakages beforehand in the case where the service provider or third-party application developer threatens the SNS user's privacy maliciously.

• Journal of Korean Library and Information Science Society
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• v.45 no.2
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• pp.261-281
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• 2014

In light of the recent advancement in networking and information technology, the direct information request through website has increasingly proven to be the preferred means over visiting physical archives. Thus, the proper utilization of a communication tool capable of sufficiently capturing user feedback and requests is an absolute necessity. This paper examines the availability and utilization of alternative user participatory communication tools in government websites with particular focus on the archives in South Korea, the United States, the United Kingdom, Canada, China, and Japan. In assessing the use of alternative user participatory communication tools in these archives, we examined the availability of communication mediums other than the online forums, email, and telephone with particular focus on social media tools that may offer a degree of familiarity for the user. Our research indicates that the most frequently utilized social media tool is Facebook while the archive offering the greatest variety of alternative user participatory communication tools was the United States archive.

• Culinary science and hospitality research
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• v.23 no.7
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• pp.1-10
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• 2017

This study proposed SNS big data analysis method of food service industry in the 4th industrial revolution. This study analyzed the keyword of the fourth industrial revolution by using Google trend. Based on the data posted on the SNS from January 1, 2016 to September 5, 2017 (1 year and 8 months) utilizing the "Social Metrics". Through the social insights, the related words related to cooking were analyzed and visualized about attributes, products, hobbies and leisure. As a result of the analysis, keywords were found such as cooking, entrepreneurship, franchise, restaurant, job search, Twitter, family, friends, menu, reaction, video, etc. As a theoretical implication of this study, we proposed how to utilize big data produced from various online materials for research on restaurant business, interpret atypical data as meaningful data and suggest the basic direction of field application. In order to utilize positioning of customers of restaurant companies in the future, this study suggests more detailed and in-depth consumer sentiment as a basic resource for marketing data development through various menu development and customers' perception change. In addition, this study provides marketing implications for the foodservice industry and how to use big data for the cooking industry in preparation for the fourth industrial revolution.

• The Journal of Korean Association of Computer Education
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• v.17 no.4
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• pp.69-78
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• 2014

This study aims to investigate better predictors, among learner participation and interaction, for collective self-efficacy and achievement in a web-based collaborative learning environment. Interaction requires communication among two or more learners, while participation does not. In this study, interaction was measured by in-degree centrality and out-degree centrality based on the social network analysis perspective. Multiple regression analysis results from 53 college students who performed team project via online showed that in-degree centrality predicted collective self-efficacy and out-degree centrality predicted achievement, while participation was not a significant predictor.

• The Journal of the Korea Contents Association
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• v.12 no.12
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• pp.170-178
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• 2012

This study examines perceived homophily by the degree of self disclosure among SNS users. In this research, there were three different groups in terms of the degree of self disclosure among SNS users such as strong, medium and weak self disclosure groups The major results are as follows: Firstly, the higher the degree of self disclosure, the more social network service use. In addition, the higher the degree of self disclosure, the smaller the degree of online activity including blog and mini web page. Secondly, the higher the degree of self disclosure, the higher the degree of socio-demographic homophily. It can be argued that the strong group had much more mean scores than that of medium and weak groups in terms of regions, gender, age and vocation except nationality. Also, the higher the degree of self disclosure, the higher the degree of shared homophily except of political opinion homophily.

• Journal of Information Technology Services
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• v.15 no.1
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• pp.211-226
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• 2016

Most of the SNS users argue that they feel techno-stress or digital fatigue when they use SNS. As the relationships in the SNS expand, users may feel work overload, digital fatigue, and techno-stress which are caused by the time and effort for the retaining the existing relationships established via SNS. The SNS activities require users' time and effort to update their profiles and the current news of them, responding to online friends' contents. Thus, more relationships they have, more stress they can feel. This study tries to examine the key factors that can affect subjective well-being of individuals in Social Network Service (SNS) usage. Therefore, this study, based on the previous literature, investigates what the sources of SNS stress are and how SNS stress and flow affect subjective well-being of SNS users. Major findings of this study from an empirical analysis with 201 SNS user respondents who have accessed SNS at least one time within one month are as follows. First, perceived opportunity cost and reputation recognition in SNS usage were found to have significant effects on negative emotion. Second, individual's flow in SNS was significantly affected by challenges and interactions, and had a significant impact on positive emotion. However, SNS users' flow did not show a positive relationship with their satisfaction of life. This study contributes to the expansion of theoretical discussion about the effect of individual's SNS usage on quality of life in validating whether SNS usage can bring individuals subjective well-being. Implications of the study findings and future research directions are also discussed.

• Journal of Digital Convergence
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• v.16 no.1
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• pp.153-158
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• 2018

Fundamental problems of e-commerce are exaggerated advertising of products, lack of trust in products or suppliers, and false reviews. As a solution, I have merged the concept of trust service embedded in social network service(SNS) with commercial domain to develop a new type of service called "Reliable SNS Commerce Service". The contents developed in this paper are as follows: first, online community functions for users to provide services; second, commerce functions; and third, functions for linking SNS and commerce. Through the reliability information presented in this paper, the seller provides more reliable and objective purchase information to the buyer about the sales items, thereby contributing to the sales by increasing the probability of the actual purchase. The buyer can purchase the higher-quality products with confidence. The service providers can gain the reputation as a reliable site for purchasing members. In conclusion, this paper provides a positive effect to all the participants, which will contribute to the development of a new commerce market and activation of electronic commerce.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.10
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• pp.129-138
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• 2021

Several studies have revealed that information on borrower characteristics plays an important factor in approving their credit requests. Though the extent to which such characteritics are also applicable to the case of fintech lending remain uncertain. The aim of this study is, thus, to investigate the determinant factors that influence MSEs in obtaining credit through fintech lending. Here, we emphasize virtual trust in fintech lending encompasing the dimension of social network, economic attributes, and risk perception based on several indicators that are used as proxies. Primary data used in the study was gathered from an online survey to the respondents of MSEs in Java. The result of the study indicates that determinants of MSEs in obtaining credit from lender through fintech lending are statistically influenced by internet usage activities, borrowing history, loan utilization, annuity payment system, completeness of credit requirement documents and compatibility of loan size with the business need. These factors have a significant effect on credit approval because they can generate virtual trust of fintech lender to MSEs as potential borrowers. It concludes that the probability of obtaining fintech loans in accordance with their expectations are influenced by the dimensions of social network, economic attributes and risk perception.