• Proceedings of the KAIS Fall Conference
• /
• 2012.05a
• /
• pp.169-172
• /
• 2012

본 연구는 지식경제부 지역연고육성산업인 보령머드는 2011년에 참여기업인 전문마케팅사인 인포마스터(주)의 주도로 SNS마케팅을 시도하였다. 국내외 SNS마케팅 업체 중에서 국내 토종 브랜드인 위메프를 선택하였고, 연말 크리스마스 특별전의 형태로 새로운 시대에 부합하는 신매체 마케팅을 단행하였다. 홍보적 측면과 광고적 측면에서 새로운 매체를 통한 공격적 마케팅을 통하여 12,741,540건의 노출, 3,691건의 클릭, 노출대비 구매 전환율은 0.62%의 성과를 획득하였다. 이것을 기반으로 향후 보령머드의 마케팅에 있어서 중요한 진단도구로 활용될 것이다.

• Asia Marketing Journal
• /
• v.18 no.2
• /
• pp.25-44
• /
• 2016

This research was implemented by using TRAM model. An existing research (Ok 2011) which dealt with technology readiness and social commerce at once had only asked consumers' attitude on 'general technology'. This research, however, has specifically focused on Social Network Service and mobile social commerce. Research hypotheses and research model were developed and tested by using 610 consumer survey data. It was found that individual's positive/negative technology readiness has a direct influence positively/negatively on perceived ease of use and perceived trust respectively. Also their positive and negative technology readiness has an indirect influence positively/negatively on perceived usefulness. Thus someone's positive and negative attitude on SNS has a different direction towards the perception of mobile social commerce. Perception on mobile social commerce depends on their attitude (positive or negative) concerning SNS. Managerial implications and limitations of the study were also discussed.

• Journal of Service Research and Studies
• /
• v.5 no.2
• /
• pp.149-159
• /
• 2015

This paper proposes a making study model using Ajzen's Theory of planned behavior (TPB) and established hypothesis and then analysed propensity of conflict resolution according to the types of SNS users, usages and conflicts. The results of study, active users of SNS have propensity of resolution for their own conflicts through SNS. The users having conflicts between person and person are same with active users. The results of this study could be referenced to other researches for resolving conflicts in or between people in the future.

• Korean journal of communication and information
• /
• v.58
• /
• pp.106-129
• /
• 2012

Social Network Service(SNS), which are an emerging form of political architecture, have been a political means to promote civic engagement and shape pubic opinions on social issues. Along with the influence of SNSs, the governmental control on the dissemination of information over SNSs has increased more and more. It would be ideal if the autonomous governance regulates SNSs which facilitate the networks of the dispersed people. It is the fact, though, that compulsory regulations under which the government controls impose policy and legal restrictions on political expressions. The current study addresses expressive and participatory nature embedded in technological characteristics of SNSs and discusses the problems of content regulations of political expression over SNSs. First of all, it is analyzed that light touch regulation or light touch monitoring should be applied to regulating content on SNSs, particularly political expressions. Constitutional Court proclaimed that legal restrictions on the Internet could infringe basic rights of the people and thus under unambiguous standards, the Doctrine of Clear and Present Danger should be applied to its content. Second, it is found that clarifying the definition of illegality in the application of legal restrictions is necessary to minimize the excessive misleading. Third, it is required that Korea Communications Standards Commission under the government control needs to change in determining the scope of illegal information. In a domestic level, there needs to be safeguards for the protection of the self-regulatory organization such as KISO to guarantee voluntary and autonomous regulatory practices.

• Journal of Korea Multimedia Society
• /
• v.17 no.6
• /
• pp.671-680
• /
• 2014

Recently, with the remarkable increase of social network services, it is necessary to extract interesting information from lots of data about various individual opinions and preferences on SNS(Social Network Service). The sentiment information can be applied to various fields of society such as politics, public opinions, economics, personal services and entertainments. To extract sentiment information, it is necessary to use processing techniques that store a large amount of SNS data, extract meaningful data from them, and search the sentiment information. This paper proposes an efficient method to extract sentiment information from various unstructured big data on social networks using HDFS(Hadoop Distributed File System) platform and MapReduce functions. In experiments, the proposed method collects and stacks data steadily as the number of data is increased. When the proposed functions are applied to sentiment analysis, the system keeps load balancing and the analysis results are very close to the results of manual work.

• Journal of Service Research and Studies
• /
• v.4 no.1
• /
• pp.21-35
• /
• 2014

Many people have a social network service (SNS) by utilizing a variety of community activities, information sharing, and the creation of social networking. In terms of marketing academics view social networks between businesses and consumers in the new communication strategy, a new way to make them in terms of marketing a new business opportunity. That is, they are actively engaged in the various marketing activities targeting customers using SNS. According to H. A. Simon's needle theory, it is efficient to make a decision within the bounded rationality due to the difficulty of collecting data in decision-making as well as the inability to collect all information because of limited time and money. If the information or the informant can be trusted, the customers would be able to make a quick decision and get higher satisfaction from it. Therefore, this study examines and thereby empirically demonstrates what role customers' trust plays in a company's marketing using SNS by exploring how trust condition works in the mediated model and, theoretically, intends to introduce an empirical methodology on more strictly mediated moderating effects and, in practice, revisit the role of trust on direct and indirect effect the SNS's Information quality has on the performance variables such as customer satisfaction and loyalty. This study thereby aims to provide a strategic tool for the companies that plan to use the SNS in developing marketing strategies.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.9 no.8
• /
• pp.3203-3215
• /
• 2015

Due to the high growth of SNS population, service scalability is one of the critical issues to be addressed. The cloud environment provides the flexible computing and storage resources for services deployment, which fits the characteristics of scalable SNS deployment. However, if the SNS related information is not properly placed, it will cause unbalance load and heavy transmission cost on the storage virtual machine (VM) and cloud data center (CDC) network. In this paper, we characterize the SNS into a graph model based on the users' associations and interest correlations. The node weight represents the degree of associations, which can be indexed by the number of friends or data sources, and the link weight denotes the correlation between users/data sources. Then, based on the SNS graph, the two-step algorithm is proposed in this paper to determine the placement of SNS related data among VMs. Two k-means based clustering schemes are proposed to allocate social data in proper VM and physical servers for pre-configured VM and dynamic VM environment, respectively. The experimental example was conducted and to illustrate and compare the performance of the proposed schemes.

• Journal of Digital Convergence
• /
• v.12 no.12
• /
• pp.249-255
• /
• 2014

Recently, creation and sharing of information make progress actively through the SNS(Social Network Service) such as twitter, facebook and so on. It is necessary to extract the knowledge from aggregated information and data mining is one of the knowledge based approach. Especially, emotion analysis is a recent subdiscipline of text classification, which is concerned with massive collective intelligence from an opinion, policy, propensity and sentiment. In this paper, We propose the emotion prediction method, which extracts the significant key words and related key words from SNS paragraph, then predicts the emotion using these extracted emotion features.

• The Journal of Society for e-Business Studies
• /
• v.19 no.2
• /
• pp.125-142
• /
• 2014

Previous research about SNS users' intention was mainly focused on revisit intention, while this study reaches a research conclusion by considering both revisit and switching intention. According to the research result, (1) social interaction and SNS addiction influence other precedential factors; (2) enjoyment and usefulness increase SNS users' revisit intention; (3) SNS users would not consider switching to another SNS even they have negative opinions about their current SNS. This research result implies that, for SNS enterprises to dominate market, it is required to provide services so that SNS users can actively participate on social interaction activities, and a strategy is necessary to attract and turn SNS users with negative opinions into active participants.

• Journal of Korea Multimedia Society
• /
• v.15 no.7
• /
• pp.931-940
• /
• 2012

Social networking services which spreading rapidly is a system using interrelationship of people by internet or mobile. SNS is a network system of the human-centered. In this paper, in order to make robot become a member of social networks we studied the necessary elements and formation. For robot with communication function and sensing, autonomous, collision avoidance method and communication protocol is needed to let Robot share the present conditions dangerous or special situation. We realized this after investigating necessary sensor for SNS, studying robot's collision-avoidance method, and defining protocol of robot for SNS. Also, we suggested and implemented the wired and wireless integrated communications method.