• Culinary science and hospitality research
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• v.22 no.8
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• pp.39-52
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• 2016

Present study was performed to identify the effects of SNS WOM characteristics on attitude and purchase intention as perceived in restaurant participants and to confirm the moderating effect according to SNS receivers' characteristics on formulated model. Survey method was employed to consumers who are using SNS to find restaurant foods through convenience sampling method in Seoul area. A total of 250 surveys were distributed and 230 were used for analysis, after excluding missing and unusual data. The results from this study are as follows. First, vividness of SNS WOM characteristics had a greater effect on attitude of restaurant food than timeliness, but the consensus and neutrality of SNS WOM characteristics have no significant effect on attitude of restaurant food. Second, SNS receivers characteristics found to moderate the relationships between vividness and timeliness of SNS WOM characteristics and attitude. However, SNS receivers characteristics did not have a moderating role relationships between consensus and neutrality of SNS WOM characteristics and attitude. Third, attitude of restaurant food had a significant effect on purchase intention.

• Journal of Information Technology Services
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• v.14 no.4
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• pp.137-157
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• 2015

The development of Social Network Service (SNS) has brought many positive changes to the ways people communicate, interact and share information. However, using the SNS does not always leads to in a positive results, particularly when it is addictively used. In fact, the addictive use of SNS results in many negative effects in our society. Recently, SNS users feel negative emotions such as expecially stress and fatigue while using SNS. Thus, the purpose of this study is to empirically examine antecedents of user fatigue on SNS, which can be explained by the degree of Individual, environment and SNS characteristics. This study also examines consequences of user fatigue on SNS. Lastly, we examine the moderating effects of Habit among SNS fatigue, barrier of living and task performance decline. The data for empirical analysis were collected 401 responses on SNS users in Korea. The results of this study are as follows; First, reputation perception, loneliness, unwanted relation, privacy concern, information overload, social presence and interaction are significantly related to SNS fatigue. Second, SNS fatigue, barrier of living and Task performance decline are significantly related to discontinuous usage intention. Third, the moderating effect of Habit of SNS using is found in the relationship among SNS fatigue, barrier of living and task performance decline. Based on the results of this study, Theoretical and practical suggestions were discussed.

• Journal of Digital Convergence
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• v.19 no.5
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• pp.433-442
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• 2021

The present study explored the moderating roles of perceived responsiveness of SNS friends and self-esteem in the relationship between SNS use and perceived social support among college students. Using a panel owned by a research firm, a nationwide online survey was conducted (females N = 264, males N = 239). The results of regression analysis suggested that there is no significant main effect of SNS use but a significant main effect of perceived responsiveness of SNS friends. In addition, a three-way interaction effect was found among perceived responsiveness of SNS friends, SNS use, and self-esteem. This study contributes to elaboration of the extant research as well as providing practical implications to SNS-based intervention programs for college students' psychological well-being.

• Journal of Korea Game Society
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• v.14 no.2
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• pp.29-44
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• 2014

This Study analyzes gameness in SNS. SNS is not only communication tool for real life but also game like media for the experimental fiction. As the media like games, SNS meets 6 classic game features. After the Tatradic analysis, Expressive and manipulation rules move SNS paidia direction, player's effort and negotiable outcome are obsolesced. Player's attachment is enhanced and in SNS, the tradition of MUD retrieves abstract ground with representative expression. As following result, SNS is able to extend its own area to the player's creative world for the possible. SNS is the media like games.

• Journal of Korea Society of Digital Industry and Information Management
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• v.11 no.1
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• pp.183-196
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• 2015

With widespread use of smart phones, SNS has been growing rapidly. Companies are required to do its utilization and a preemptive response. However, taking advantage of SNS is still insignificant in the companies. Compared with traditional marketing, people still consider the SNS marketing unfamiliar. This study is aimed at widening the breadth of understanding of marketing activity using SNS and inquiring into its effective applications. In an effort to achieve this research objective, first, this study analyzed the aspect of real applications by reviewing diverse practical business cases. Second, this study provided the momentum of the understanding of SNS marketing-based knowledge. The effective method of producing consumer-intimate products and services lies in customers' participation in development and production. SNS marketing is the very communication and gives ear to a customer's voice. Earnest and creative SNS marketing will play a role as a stepping-stone for businesses to move much closer to a customer.

• Journal of information and communication convergence engineering
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• v.17 no.4
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• pp.239-245
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• 2019

Recently, effort to obtain various information from the vast amount of social network services (SNS) big data generated in daily life has expanded. SNS big data comprise sentences classified as unstructured data, which complicates data processing. As the amount of processing increases, a rapid processing technique is required to extract valuable information from SNS big data. We herein propose a system that can extract human sentiment information from vast amounts of SNS unstructured big data using the naïve Bayes algorithm and natural language processing (NLP). Furthermore, we analyze the effectiveness of the proposed method through various experiments. Based on sentiment accuracy analysis, experimental results showed that the machine learning method using the naïve Bayes algorithm afforded a 63.5% accuracy, which was lower than that yielded by the NLP method. However, based on data processing speed analysis, the machine learning method by the naïve Bayes algorithm demonstrated a processing performance that was approximately 5.4 times higher than that by the NLP method.

• Industrial Engineering and Management Systems
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• v.12 no.2
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• pp.130-142
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• 2013

Social Networking Service (SNS) is prevailing rapidly in Japan in recent years. The most popular ones are Facebook, mixi, and Twitter, which are utilized in various fields of life together with the convenient tool such as smart-phone. In this work, a questionnaire investigation is carried out in order to clarify the current usage condition, issues and desired functions. More than 1,000 samples are gathered. Bayesian network is utilized for this analysis. After conducting the sensitivity analysis, useful results are obtained. Differences in usage objectives and SNS sites are made clear by the attributes and preference of SNS users. They can be utilized effectively for marketing by clarifying the target customer through the sensitivity analysis.

• The Journal of Information Systems
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• v.30 no.4
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• pp.43-69
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• 2021

Purpose Although companies occupied the network market take the advantageous position first and can be successful in securing users over a certain size, it is important to satisfy the customers' demand and prevent the outflow of users toward a new alternative SNS. What is more, there are frequent changes in the flow of users toward new SNSs. Despite these dynamic market circumstances, there is a lack of research to explain the switching behaviors of SNS users. Design/methodology/approach The objective of this study is to explain and verify a specified migration theory(Push-Pull-Mooring model) focused on SNS fatigue in the psychological point of view, as well as reviewing previous studies on functional and technical characteristics of SNSs themselves. Moreover, this study tried to highlight factors affecting users actual SNS switch rather than their switching intention. Findings According to the statistical analysis, the most influenced pull factor to switch SNS was the alternative attractiveness. On the other hand, undesired relationship burden, service innovation and important mooring factors to prevent users' SNS switch. This study has a significant contribution to the theory, which analyzed users' actual SNS switch, and examined SNS users' psychological factors(SNS fatigue), reviewing the characteristics of existing services. To secure more users and to keep them, companies providing social network service need to develop differentiated strategies by analyzing psychological characteristics of various users.

• Journal of the Korean Society for information Management
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• v.30 no.3
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• pp.133-156
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• 2013

The purposes of this study are (1) to examine the relationships among attitude on SNS use, subjective norm, perceived behavioral control, and SNS use, (2) to analyze effect of SNS use on bonding network and bridging network, (3) to consider moderating effect of the gender on the relationship between SNS use and Social network. We conducted a survey for 20-30's SNS user. The results of analysis using the Structural Equation Model(SEM) represent that attitude on SNS use, subjective norm, and perceived behavioral control are significant determinants of the SNS use. SNS use affects bonding network and bridging network. An interesting result was observed that the gender had moderating effect on the relationship between SNS use and social network. Based on these results, we suggest theoretical and practical implications of this study.

• The Journal of Korean Association of Computer Education
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• v.16 no.2
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• pp.61-68
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• 2013

SNS is a social networking service that helps people to have a two-way communication, manage their personal relationships and share information. The domestic and international SNS markets have attained a steady growth, and their growth is being more accelerated recently. Under these circumstances, immature students are more likely to show negative cyber behavior. This study attempted to analyze the relationship between the use of SNS, motives of SNS use, the use of active SNS functions, SNS-dependency and views in SNS and negative SNS behaviors among elementary and middle school students. For this, negative cycber behaviors are classified into four stages depending on the severity, for each of which distribution of factors is investigated and the combination of factors to determine each stage is obtained through association rule analysis. As a result, it is found that 85% of the students rarely show negative cyber behaviors, stealing personal information and contacting with strangers are the most frequent negative behaviors, and students with a great dependency on SNS are highly probable to show negative behaviors.