• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.12
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• pp.2871-2877
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• 2015

Shopping patterns are changing with the emergence of SNS. Recently, it is also interested in providing the information based on the users' needs. Generally, the provided information is obtained from the history of users' simple browsing. Best selling hot item list is also provided in order to reflect the preferences of public users. However, the provided information is irrelevant to an individual preference. In this paper, we propose a method to utilize inner and outer SNS for analyzing public preferences about goods which are interested by individual users. The inner analyzing module collects and analyzes the preferences of community members about two goods designated by individual users. The outer analyzing module supports to analyze public preferences by using the tweeter SNS. The results of implementation show that it is possible to recommend goods based on the individual users' preferences unlike the existing shopping mall.

• The Journal of the Korea Contents Association
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• v.12 no.11
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• pp.358-367
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• 2012

Recently, The development of information and communication technologies is having a very strong effect on the agri-food industry. Especially, agri-food content utilizing social network services such as Facebook and Twitter led to direct communication with consumers stirred into a new distribution channel. The purpose of this paper is to provide way to successful utilization of agri-food contents and improvement of purchase intention. The results of analyzing the relation between the three characteristics of SNS-social presence, conversation and interaction frequency-, consumer satisfaction and purchase intention are summarized as follows. First, characteristics of SNS of social presence and conversation have a positive effect on consumer satisfaction. Second, the interaction frequency does not have positive effect on consumer satisfaction. Finally, the consumer satisfaction has a positive effect on purchase intention.

• Korean journal of communication and information
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• v.67
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• pp.209-240
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• 2014

This study observes reporters' awareness on the use of social media and their Core Values by using the Theory of Means-End Chain and drawing conclusions from a Hierarchical Value Map (HVM). In order to analyze reporters' knowledge and awareness on the use of social media via the laddering method, in-depth interviews of 46 reporters were conducted. The study showed that reporters consider sense of kinship, well-balanced understanding, and the desire for knowledge to be important Core Values. The results revealed that the convenience in interpersonal communication, development of intimacy in relationships, entertainment and affection, curiosity, the reduction in the cost of the acquisition of information, understanding of trends in issues, a peek into new information and the maintenance of interests, psychological dependability, and quick updates on information items are considered important Consequences of social media. In the Attributes level, the ability to write postings and links on Facebook and readability and 'follow' and 'mention' features on Twitter were confirmed to be important items in social media. The findings infer that reporters that make use of social media use Twitter and Facebook to build a sense of kinship with other users and gain well-balanced understanding by accessing a lot of information through social media. While this study examined the level of reporters' familiarity with the use of social media via the laddering method, the results cannot be seen as a generalization, as the interviewees were reporters from only the major news organizations.

• Journal of Fashion Business
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• v.15 no.1
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• pp.158-170
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• 2011

The purpose of this study was to examine how recently fashion corporate did use SNS applications for their product promotion strategies as case studies, and to provide what kinds of SNS marketing strategies would be developed for fashion corporate. Specifically, this study was focused on Twitter among SNS applications. For this study, Internet webs, news paper, articles, and other press work were used for resources. Five fashion corporate such as Buckaroo, MLB, North Faces, Kolon, and ABC Mart were analyzed. As the results, first, fashion corporate used Twitter as the marketing tool for their product promotion. Second, they tried to make an increase the numbers of Twitter follower from their customers. Third, Twitter was used for making higher customer loyalty by fashion corporate through a variety of program such as special events, game, music, or viral marketing. However, there were still some limitations on fashion corporate's Twitter usage, compared to other non-fashion corporate. Thus, fashion corporate needs to provide more creative and unique Twitter marketing strategies. Therefore, based on these results, fashion brand merchandising marketing strategies of fashion products would be provided from this study.

• Journal of Information Technology Services
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• v.10 no.4
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• pp.149-169
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• 2011

As the number of smart phone users increases, many organizations begin to adopt social media rapidly to diversify communication channels with customers. Specifically, twitter, which supports instant and two-way communications between users and between organizations and users, has been adopted by many organizations as an efficient way not only to identify new customers but also to retain existing customers. However, little attention has been given to the issue on how organizations can effectively use twitter to improve customer satisfaction. To explore the issue, this study proposes two major dimensions, customer participation and organization resource utilization, which should be considered in building a utilization strategy for twitter in organizations. We then develop four different combinations along with these dimensions-follow, mention, retweet, and review types. Based on case studies of 27 organizations that use twitter, we evaluate the degrees of customer participation, resource utilization, and customer satisfaction, and examine matching or mismatching of the adoption purpose of twitter and its actual utilization. The study results reveal that organizations in the matching group show higher customer satisfaction that those in the mismatching group. This study sheds new light on twitter research by developing a new conceptual framework and using a case study approach to explore the relationship between the utilization strategy of twitter and customer satisfaction.

• 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.

• The Journal of the Korea Contents Association
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• v.13 no.6
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• pp.158-166
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• 2013

This study gave attention to the people who has resistance of the social media that tens to be the use as innovations. Therefore, this study examined the determinant factors of psychological resistance of the social media such as Twitter focused on students as none-users of social media. Total of 268 none-users participated in this study. The results were as follows. First, relative advantage influenced negatively on innovation resistance. Second, perceived complexity influenced significantly not on innovation resistance. Third, perceived risk influenced positively on innovation resistance. Therefore, social media related to social relationship should improve relative advantage, the other way, decrease perceived risk such as defamation and personal attack.

• Journal of Korean Society of Archives and Records Management
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• v.12 no.1
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• pp.33-58
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• 2012

With technological and cultural changes around web and mobile networks, SNS would be considered as an important tool for information sharing. Especially, SNS represented Facebook and Twitter is being new paradigm for communication. This study seeks to methods to provide a service user participation and cooperation and expands use and access to archival information service through SNS. To achieve the goals, this study proposed a method to provide effective archival information service through literature research. Also, the proposed service was implemented with system design and components.

• Journal of the Korean Data and Information Science Society
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• v.26 no.5
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• pp.1087-1095
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• 2015

Influenza, commonly known as "the flu", is an infectious disease caused by the influenza virus. We consider, in this paper, regression models as a prediction model of influenza disease. While most of previous researches use mainly the meteorological variables as a predictive variables, we consider social media information in the models. As a result, we found that the contributions of two-type of informations are comparable. We used the medical treatment data of influenza provided by Natioal Health Insurance Survice (NHIS) and the meteorological data provided by Korea Meteorological Administration (KMA). We collect social media information (twitter buzz amount) from Twitter. Time series model is also considered for comparison.

• Journal of Digital Convergence
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• v.13 no.2
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• pp.43-50
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• 2015

Since the popularity of social network services (SNS) rise, the data produced from them is rapidly increased. The SNS data includes personal propensity or interest and propagates rapidly so there are many requests on analyzing the data for applying the analytic results to various fields. New technologies and services for processing and analyzing big data in the real-time are introduced but it is hard to apply them in a short time and low coast. In this paper, an efficient method to build a tweet analysis system without inducing new technologies or service platforms for handling big data is proposed. The proposed method was verified through building a prototype monitoring system to collect and analyze tweets using the MySQL database and the PHP scripts.