• The Journal of Society for e-Business Studies
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• v.16 no.4
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• pp.155-172
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• 2011

The purpose of this study is to examine factors affecting an individual's acceptance of mobile banking, which is a typical example of smartphone based self-service. We derive three personal traits(positive technology readiness, negative technology readiness and individual's expertise) as antecedent variables that affect intention to use mobile banking from previous studies, and adopt a technology readiness and acceptance model(TRAM) to investigate factors that determine an individual's intention to use mobile banking. TRAM, which integrates technology readiness index(TRI) into the technology acceptance model (TAM) in the context of consumer adoption of e-service systems, is adopted to examine personal traits influencing on the factors forming the attitude of mobile banking. The new findings of this study are as follows. First, individual's expertise and positive technology readiness(ptr) have significant effect on both perceived usefulness and perceived easy of use. However, negative technology readiness(ntr) has significant effect on only perceived easy of use.

• Management & Information Systems Review
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• v.28 no.2
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• pp.69-94
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• 2009

As the internet environment develops, internet has already been being established as important tool of business marketing and branding. The goal of this study is in search for internet brand community quality characteristics, testing an effect of internet brand community quality on usage intention of community user. Data has been collected from 294 respondents during september of 2006. The questionnaire method was adopted to collect the data for this study. The research was conducted by using SPSS 12.0 and AMOS 5.0. It was found that as follows; First, Internet brand communities are characterized by system quality, service quality, and information quality which are also the traits of free contents in ordinary websites and on-line community site. Second, Traits of Internet brand community were related positively to perceived ease of use, usefulness, flow and social interaction of internet brand community user. Third, the factor that affects internet brand community usage intention was perceived ease of use, usefulness, flow, enjoyment and social interaction. Based on the results, the study offers marketing strategic implications for internet brand community site provider.

• Information Systems Review
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• v.19 no.3
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• pp.155-177
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• 2017

The purpose of this study is to investigate those factors that are influenced when a user recognizes his/her private information value as an economic asset. The relationship among these factors will also be discussed. This research targets Internet users, and the value of their private information will be converted into economic figures. How economic value changes in relation with individual attributes, dealer's traits, and circumstantial properties will also be studied. The changes in the factors of private information value under different situations will be analyzed from an economic perspective. By using the cost-benefit analysis framework, this work hypothesizes that the user's private information value can be influenced by individual attributes and situational properties. in the business aspect, this study can help users recognize the true value of their personal information and minimize the cost resulting from private information security incidents. This work also highlights the necessity of estimating the scale of investments for protecting private information. Overall, this research will proceed under the hypothesis that the users' recognition of their private information value is influenced by the attributes of the individual, dealers, or situations.

• The Journal of the Korea Contents Association
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• v.18 no.9
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• pp.468-481
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• 2018

This study aims to empirically investigate how users' online engagement behaviors predict their uses of paid contents. To this end, the data from the 2016 Korean Media Panel Survey, which has been conducted annually by the Korea Information Society Development Institute(KISDI), were analyzed. Major findings(N=8.313) were as follows. First, the active type of online engagement(e.g., posting, commenting), which contributes to direct creation of online contents, was the most powerful predictor to explain the DV. On the other hand, relatively passive actions of user engagement(e.g., sharing, endorsing, voting) turned out to have no significant effects on the uses of paid contents, just as personality traits and online privacy concerns did. Based on these results, it is recommended that online contents or platform service providers should try to establish clearly-targeted marketing strategies, after thoroughly collecting and analyzing the data of users' various online behaviors.

• KIPS Transactions on Software and Data Engineering
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• v.5 no.10
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• pp.503-510
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• 2016

FsGr model, which has been proposed recently, is an approach of accelerometer-based gesture recognition by applying DTW algorithm in two steps, which improved recognition success rate. In FsGr model, sets of similar gestures will be produced through training phase, in order to define the notion of a set of similar gestures. At the 1st attempt of gesture recognition, if the result turns out to belong to a set of similar gestures, it makes the 2nd recognition attempt to feature-strengthened parts extracted from the set of similar gestures. However, since a same gesture show drastically different characteristics according to physical traits such as body size, age, and sex, FsGr model may not be good enough to apply to multi-user environments. In this paper, we propose FsGrM model that extends FsGr model for multi-user environment and present a program which controls channel and volume of smart TV using FsGrM model.

• Journal of the Korean Society of Clothing and Textiles
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• v.34 no.11
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• pp.1812-1823
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• 2010

The modifiable design of clothes is significant in that a single garment can be presented in various ways and can be modified by user adjustments as well different kinds of figurative beauty can be expressed through the garment. This study departmentalized the case of knitwear in the modifiable design of clothes to propose a possibility of a variable knit fashion that makes the most of the knit characteristics. This study investigated precedent research, arranged general terms, created fundamental notions, found the background of the advent, and located specific characters in the modifiable design as well as arranged a concept, type, structure, and traits for the knit. The following results were obtained through this study. First, the modifiable design of the clothes can express the change of the silhouette and the change of the item itself or a change in the item according to the change in the mode of wearing, manipulation, and technology. Second, the results show that modifiable knit designs by open & close are mostly used according to manipulation and have no existence in this study according to the technology. Third, there was a noticeable appearance of a modifiable knit design from 2002 to 2004. However, it was increased again in 2009 after a steady decrease in 2005 and 2008. Finally, it can create effects in several dresses in the visual aspect and functional aspect.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.14 no.5
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• pp.2236-2257
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• 2020

Ransomware is malicious software that encrypts the user-related files and data and holds them to ransom. Such attacks have become one of the serious threats to cyberspace. The avoidance techniques that ransomware employs such as obfuscation and/or packing makes it difficult to analyze such programs statically. Although many ransomware detection studies have been conducted, they are limited to a small portion of the attack's characteristics. To this end, this paper proposed a framework for the behavioral-based dynamic analysis of high survivable ransomware (HSR) with integrated valuable feature sets. Term Frequency-Inverse document frequency (TF-IDF) was employed to select the most useful features from the analyzed samples. Support Vector Machine (SVM) and Artificial Neural Network (ANN) were utilized to develop and implement a machine learning-based detection model able to recognize certain behavioral traits of high survivable ransomware attacks. Experimental evaluation indicates that the proposed framework achieved an area under the ROC curve of 0.987 and a few false positive rates 0.007. The experimental results indicate that the proposed framework can detect high survivable ransomware in the early stage accurately.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.16 no.1
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• pp.183-191
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• 2016

SNS is developing rapidly along with diffusion of smartphone. However as useage of SNS became excessive, SNS addiction became a social problem. Meanwhile the problem that users leavning SNS because of negative perceptions about SNS became issue. As both SNS addiction and continuance are important when using SNS, this study examines factors affecting Facebook addiction and continuance. We derive three personal traits, which is autonomy, competence, relatedness as variables that affect Facebook addiction and continuance to use Facebook. The authors' structural equation model using data, collected from 204 Facebook user, showed that autonomy and competence significantly affected Facebook addiction. Also, autonomy, competence and relatedness significantly affect Facebook continuance.

• Proceedings of the Korea Contents Association Conference
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• 2005.05a
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• pp.268-272
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• 2005

The university community site can be used as a potential element to improve the recognition of the university through the satisfaction of the members of the university with using it as well as an important means for communication on the line among the members. In spite that the community site is used by the users in the twenties at university, it consists of the contents with only basic functions. Consequently it is necessary to find out the different traits of the users to make the university community site active. Therefore, this study aims at analyzing the reality of the university community site and finding out the characteristics of the university students characterized as N-generations

• Journal of the Korean Society of Clothing and Textiles
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• v.27 no.6
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• pp.601-611
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• 2003

The main objective of this study was to investigate the relationship between benefits segmentation and knitwear purchasing behavior of college female students. A questionnaire was developed to measure benefits segmentation, knit wear purchasing behavior. The questionnaire was administered to 505 college female students in Chonbuk and Chonnam. The data was analyzed using percentage, frequency, mean, factor analysis, cluster analysis and ANOVA, Duncan multiple range test. The results of the study were as follows: The college female students were classified into four subdivisions by the cluster analysis: recreation pursuit group, fashion pursuit group, individuality pursuit group, self-improvement pursuit group on the basis of pursuit benefit factors. The knitwear purchasing motives of consumers were significantly different according to pursuit benefit subdivision. The individuality pursuit group was the highest user of mass media fashion information sources. The fashion pursuit group used purchasing experience and advice of others less than other groups. Consumers' evaluation criteria of knitwear products were significantly different depending on pursuit benefit subdivision in design and coordination, goods traits, practicality, individual expression, and external criterion. The other groups used purchasing experience and advice of others more than the fashion pursuit group.