• Journal of Preventive Medicine and Public Health
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• v.50 no.5
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• pp.336-346
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• 2017

Objectives: To characterize the usage patterns of new types of tobacco products (NTTPs) to develop effective strategies for the regulation of NTTPs in Korea. Methods: We conducted focus group interviews to identify the NTTP usage patterns of research subjects. The NTTPs were limited to electronic cigarettes (e-cigarettes), waterpipe tobacco, and rolling tobacco. We categorized 30 research subjects into 4 groups. The ecigarette group was divided into adult and adolescent groups. Each group contained 7-8 subjects. An interview lasting approximately 2 hours was conducted with each group. Results: Ninety percent of NTTP users used an NTTP in combination with conventional cigarettes. Subjects mostly bought NTTPs online, unlike how they bought cigarettes. Additionally, a great deal of information, such as how to use NTTPs and descriptions of NTTP products, was exchanged through online or offline societies. The primary reason why the subjects used NTTPs was that NTTPs offer a greater range of flavors and aromas than cigarettes. Moreover, NTTPs were felt to be less repulsive than cigarettes. NTTPs were not used as a cigarette substitute; rather, they were mostly used in places and situations where traditional cigarette smoking was not allowed. Conclusions: Based on the results of this study, the government should conduct studies on the effects of the combined use of NTTPs and cigarettes on the human body, obtain and provide accurate data regarding NTTP use, and develop and implement polices to ban NTTP advertising, which may arouse adolescents' curiosity, and the addition of flavoring substances to tobacco products.

• Journal of Information Technology Applications and Management
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• v.20 no.1
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• pp.133-148
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• 2013

As network technologies evolve and so-called smart technologies appear, applications of smartphones are being applied in widespread areas. In general, the adoption of smartphones is different from the adoption of information systems. Thus, we tried to find out factors which may affect the user acceptance behavior. However, there have been some academic studies that analyzed the factors that affect user acceptance of smartphones, and their relationships. Under this academic background, we develop a model to examine how smartphones are accepted by users based on technology acceptance model. The theoretical model is validated through an online survey of smartphone users from two universities in Seoul, Korea. The results reveal that the users will have positive attitude towards adopting the smartphone when they perceive that the usage of smartphones is useful. We also find that the perceived usefulness of the smartphone is affected by the perceived ease of use and the media richness. The results also suggest that the perceived ease of use is determined by the self-efficacy whereas the intention to use smartphones is determined bv the perceived usefulness, the self-efficacy, and the attitude toward smartphnes' usage. Theoretical and practical implications are discussed.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.5 no.10
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• pp.1712-1732
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• 2011

Cloud provides dynamically scalable virtualized computing resources as a service over the Internet. To achieve higher resource utilization over virtualization technology, an optimized strategy that deploys virtual machines on physical machines is needed. That is, the total number of active physical host nodes should be dynamically changed to correspond to their resource usage rate, thereby maintaining optimum utilization of physical machines. In this paper, we propose a pattern-based prediction model for resource provisioning which facilitates best possible resource preparation by analyzing the resource utilization and deriving resource usage patterns. The focus of our work is on predicting future resource requests by optimized dynamic resource management strategy that is applied to a virtualized data center in a Cloud computing environment. To this end, we build a prediction model that is based on user request patterns and make a prediction of system behavior for the near future. As a result, this model can save time for predicting the needed resource amount and reduce the possibility of resource overuse. In addition, we studied the performance of our proposed model comparing with conventional resource provisioning models under various Cloud execution conditions. The experimental results showed that our pattern-based prediction model gives significant benefits over conventional models.

• Journal of Information Technology Applications and Management
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• v.19 no.4
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• pp.41-59
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• 2012

This study examines the roles of user resistance and social influences on the acceptance and continuous usage of smartphones at different stages of adoption. The respondents were classified into three groups according to their innovation adoption stage : non-user group, the potential user group and the trial user group. Theories relevant to user resistance, social influences including normative social influences and informational social influences, as well as user adoption and continuance behavior were reviewed and integrated into our research model. In order to verify the proposed structured equation model, we conducted an online survey by targeting mobile phone users and collected data to be analyzed through a partial least squares (PLS) test. This study tested whether there exists differences in the effects of user resistance and different types of social influence on user's adoption or continuance intetion among these three groups. The results showed that user resistance exists in all adopter groups and that it has significant negative influences on intention to use a smartphone. The findings also revealed that user resistance can be enhanced or resolved by two types of social influence; informational social influence resolves user resistance regardless of the adopter category, while normative social influence enhances the user resistance of potential users. Furthermore, the findings show that social influence regardless of the type positively affects user intention. Several theoretic and practical implications pertaining to the results are discussed.

• Journal of Distribution Science
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• v.18 no.8
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• pp.75-87
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• 2020

Purpose: This study uses the protection motivation theory and information processing theory to discuss the high number of fraud phenomenon in Indonesia which causes worries to the internet users. The second problem is the large amount of information transparency in e-commerce which actually hinders the users in making decisions so it causes a negative behavior pattern, namely discontinue usage intention. Design/methodology: Therefore, this research hopes to provide insight to the online or e-commerce business community, especially for Tokopedia, to develop its business from understanding the factors influencing consumer attitude when shopping online. The sample are students from Universitas Indonesia, Institut Teknologi Bandung, Institut Pertanian Bogor, Universitas Gadjah Mada and Institut Teknologi Surabaya, with total 900 respondents. Result: The results of this research indicate that ubiquitous connectivity (UC) variable significantly affects variables such as the privacy concern (PC), information transparency (IT) and information overload (IO). PC and IO variables also significantly affect Discontinue Usage Intention (DUI). Conclusion: This study gives a new perspective that despite the phenomenon, the millennial generation especially are not entirely concerned about the privacy concern, however, this study clearly shows that the privacy issue in the digital word continues to be something that needs to be cared for.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.10 no.4
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• pp.55-64
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• 2011

This study aims to analyze of the impact of converged information with tourism and Bus Information on recreational bus travel. The research has conducted as the following process : A survey was implemented that the user preference behavior as if they were provided a converged information with tourism and bus information on bus usage. As a result, we found that able to using mobile media, having a experience visiting the tourism site, evaluate willingness to pay of the information highly, the 20s age, increasing income variables are concerned with positive relation, and the factors which are using the main mode by auto and having a auto are negative relation on bus usage actively.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.25 no.4
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• pp.187-207
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• 2014

Public library user studies are required for better services and circulation records can be used as specific library data to identify common user patterns of the libraries. This study examined 754,198 of circulation data set - number of users, frequencies of circulation, volume of time of circulation and etc. The results of this study indicate the possibility of using circulation data to analyze the usage patterns in public libraries and to provide major types of users, collections, time of circulation, and common library user behaviors for better public library services.

• Journal of the Korean Society of Clothing and Textiles
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• v.27 no.5
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• pp.588-599
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• 2003

The convenience of TV home shopping is known to provoke compulsive buying, which is chronic and repetitive purchasing behavior that comes about as a response to negative events or feelings. The purpose of this study was to identify whether there is a difference in the degree of compulsive buying between the purchasers of fashion goods and the purchasers of non-fashion goods on TV home shopping shows and the determinants of compulsive buying and their relative importance. Utilizing the convenient sampling method, the sample of the study was composed of women aged over 20 living in the Seoul metropolitan area. Out of 380 distributed questionnaires, 270 useful questionnaires were returned. The data were analyzed using t-test, Pearson correlation, and multiple regression. The results indicated that TV home shoppers who purchased fashion goods showed higher degree of compulsive buying than those who purchased non-fashion goods and the determinants of compulsive buying are sample＇s age, mean age of the sample＇s children, credit usage, expenditure on fashion goods, frequency of purchase of fashion goods on TV home shopping shows, and promotional tools used by TV home shopping retailers. Regarding the relative importance of the determinants, credit usage was the most influential factor followed by expenditure on fashion goods and the length of exposure to TV home shopping shows.

• Journal of Climate Change Research
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• v.9 no.3
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• pp.253-261
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• 2018

As user-involved energy saving activities have become important in recent years, many forms of energy feedback experiments have been conducted. We conducted a study to determine if energy feedback activities affect energy saving for students living in dormitories at a university in Seoul. In particular, smart plugs were used for efficient research and quantitative performance measurements, and the extent of the impact of competition and rewards on participant energy saving behavior was further analyzed. The main findings of this study are as follows. First, the power usage of groups using smart plugs was lower than that of those without them. Second, energy feedback delivered to smart plug users did not have a significant impact on reduction of electric power consumption. Third, competition and compensation strategies had additional effects in reducing power usage for smart plug users. As a result, methods to deliver energy feedback more effectively as ICT technologies develop and efficient energy activities using IoT technologies can be expected to spread widely in the future.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.5
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• pp.421-429
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• 2022

Entrepreneurship research has focused on several factors that might affect the intention of an individual to start an enterprise. Using principles from social network theory and the entrepreneurial intention model (EI), the current research intends to investigate how social capital is formed on Social Networking Sites (SNS) and how the resulting social capital influences entrepreneurial intention. Using an online survey, 151 valid responses were received from university students. Applying partial least square structural equation modeling, positive and significant relationship was found between the SNS usage and bonding and bridging social capital. Further, it was also found that online-bonding social capital does not impact any of the three antecedents of entrepreneurial intention. On the other hand, online-bridging social capital significantly influences personal attitudes and subjective norms. It was also found that both personal attitude and perceived behavioral control significantly relate to EI, while the subjective norms do not relate significantly to EI. The paper contributes to the literature on technology-based human behavior and entrepreneurship in emerging countries, opening some areas for future research, while also providing some managerial insights. It also should be beneficial to educational institutions in understanding how the use of SNS use by students may be optimized.