• Journal of Information Management
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• v.28 no.2
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• pp.54-70
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• 1997

The author describes document delivery services and document usage patterns of domestic users based on usage statistical data about photocopying service of KINITI that the most important document delivery organization in Korea. And investigated ordering procedures of users, number of document processed and rejected in photocopying service, and delivery methods for users and so on. In FY 1996, number of document in photocopying service increased 2.4 percent in proportion to previous year.

• Journal of the Korean housing association
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• v.18 no.2
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• pp.39-47
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• 2007

The objective of this study is to analyze the space usage and user evaluation of community facility in High rise Mixed-use Apartment. This study was conducted case study and questionnaire survey. Four High rise Mixed-use Apartments built since 2000 were chosen for case study and 166 residents were collected for questionnaire survey. The frequency, percentage, mean, t-test and F-test were executed through SPSS for Win 12.0 statistics package program. The types of community facilities of High rise Mixed-use Apartments were consisted of sports, child care/study, information sharing, leisure/cultural facilities. The usage percentage of community facilities increased since the residents have moved to their current residence of High rise Mixed-use Apartments from their previous residence. The most satisfactory facility was sports facilities. The satisfaction of community facilities showed high in general. The satisfaction of community facilities was significant with gender and age.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2006.11a
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• pp.408-411
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• 2006

Currently, the nano economy threatens the mass economy. This is based on the internet business models. In the nano business models based on internet, the diversely personalized services are needed. Many researches of the personalization on the web have been studied. The web usage mining using click stream data is a tool for personalization model. In this paper, we propose an internet business model using evolutionary support vector machine and web response survey as a web usage mining. After analyzing click stream data for web usage mining, a personalized service model is constructed in our work. Also, using an approach of web response survey, we improve the performance of the customers' satisfaction. From the experimental results, we verify the performance of proposed model using two data sets from KDD Cup 2000 and our web server.

• The Research Journal of the Costume Culture
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• v.28 no.6
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• pp.875-889
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• 2020

This study examined the effect of Instagram usage time (short, long) and spending on fashion products (light, heavy) on product attitude and purchase intention of products promoted by an influencer. The moderating effect of influencer type (mega, macro, micro) was also investigated. A total of 515 males and females in their 20s participated in an online survey. Descriptive statistics were analyzed and exploratory factor analysis and two-way ANOVA were conducted. Research findings were as follows. First, the usage time, both short and long, had a positive effect on product attitude. Also, the interactive effects of usage time and influencer type on product attitude were found. Consumers with short Instagram usage time displayed the highest attitude toward products promoted by a macro-influencer whereas consumers with long Instagram usage time displayed the highest attitude toward products promoted by a micro-influencer. Second, usage time and influencer type did not show interactive effects on purchase intention. Third, both categoriacl variables of users' spending on fashion products had a positive effect on product attitude. Fourth, the interaction effects of spending on fashion products and influencer types on purchase intention were found. The group of light buyers showed the highest purchase intention on products promoted by the macro-influencer while the group of heavy buyers showed the highest purchase intention of products promoted by the micro-influencer. Based on the results, implications were suggested.

• Journal of the Korean Statistical Society
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• v.18 no.1
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• pp.4-12
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• 1989

An efficient method for computing minimum norm quadratic unbiased estimates (MINQUE) of variance components in the mixed model is developed. This computing algorithm which used W-matrix saves both storage usage and computing time.

• Information Systems Review
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• v.21 no.2
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• pp.91-115
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• 2019

The updates in the mobile application market have been widely used as strategic marketing tools. It has been used to (i) improve the visibility of an application, (ii) enhance the value of an applicationand strengthen the loyalty of current users, and (iii) expand the market by adding additional features or functions. A number of studies and anecdotal evidence have highlighted the importance of these updates in the mobile application market. However, not all updates in the mobile application market have been successful. Snapchat, for instance, lost 3 million users in three months after it rolled out a major update in November 2017. In this study, we investigate the impact of updates on the usage patterns of users in the mobile application market using MAU (Monthly Active Users), usage frequency, and usage time that we collected from a company that provides mobile application usage statistics.

• Knowledge Management Research
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• v.16 no.3
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• pp.1-21
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• 2015

The mobile market has introduced unprecedented shopping opportunities to customers and is expected to grow rapidly over time. However, little is known about how customers make purchase decisions in the mobile market. The purpose of this study is to investigate the drivers of mobile VOD purchases and to deliver valuable insights to mobile business operators. We focus on the purchase of VOD contents that have to be purchased and consumed using mobile devices and examine how individual-level purchase decisions are determined by three factors: perceived usefulness, usage behavior, and privacy concern. We obtained the panel data from a leading market research company that contains the mobile logs and survey results. Our main results suggest the followings. First, the perceived usefulness affects customers' mobile VOD contents purchases positively whereas the usage behavior exerts no influence on mobile contents purchases. Moreover, the privacy concern lowers the positive effect of perceived usefulness on mobile content purchases; however, it enhances the effect of the usage behavior on mobile contents purchases. These empirical findings indicate that mobile business operators should pay more attention to potential differences in perception and behavior using mobile devices and keep in mind that the privacy concern plays an additional key role in driving mobile contents purchases.

• Proceedings of the Korea Contents Association Conference
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• 2007.11a
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• pp.40-44
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• 2007

In order to find out the relationship between the indicator of scholarly impact and e-Journal usage in Korea, we analyzed the correlation between the usage statistics of e-Journals published by American Chemical Society, Science, Elsevier and Wiley which was licensed by KESLI consortia in 2006 and impact factor in JCR 2006. We selected 4 universities and 5 research institutes as target institutions which participated in all of the 4 consortia and had higher frequency of e-Journal usage than others. In this correlation analysis we used variables such as the subjects of journals, the types of institution, and impact factor.

• Journal of the Korea Fashion and Costume Design Association
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• v.22 no.2
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• pp.1-18
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• 2020

The purpose of this study is to investigate the consumers' characteristics in terms of information source usage and purchase channel choice focusing on apparel purchasers in the multichannel retailing environment. The specific research objects are as follows: analyzing consumer's information source usage and purchase channel choice when buying their own clothing, examining the differences of consumers' characteristics according to the groups who are classified by their information source usages, and examining the differences of consumers' characteristics according to the purchase channel choice. The data was collected from adults over 20 years of age who had bought their own clothing within the last year. The questionnaire was carried out during September 2019, using a professional internet research panel, and 490 useful data sets were analyzed by utilizing descriptive statistics, factor analysis, reliability analysis, chi-squared test, ANOVA and a Duncan-test using SPSS 21.0. The findings showed that there were also significant differences of consumers' characteristics which included age, gender, monthly clothing expenditure, purchase price, shopping value and perceived risk according to the consumer's information source usage and their purchase channel choice.

• The Journal of Information Systems
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• v.27 no.3
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• pp.181-202
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• 2018

Purpose Wearable device is considered as one of the methods powering the growth of the next generation. However, ICT's innovation resistance has been a contributing factor in slowing down this spread of wearable devices. Taking into consideration the lack of empirical research to this phenomenon, this study served to examine the effect of determinants of wearable devices to usage with the perspectives of behavioral economics. Design/methodology/approach: For research purposes, this study developed research hypotheses in order to empirically examine the factors that might have a significant effect on the usage of the wearable device. The empirical research was based on a survey which carried through 500 participants. Research results were evaluated via SPSS Statistics 21.0 and AMOS 19 statistical package program. Findings: Results showed that perceived costs and benefits had a significant effect on coupling. It means that perceived benefits lowering coupling and perceived costs increasing coupling. Perceived costs and benefits also had a significant effect on innovation resistance. Finally, perceived costs and benefits had a significant effect on the consumers' usage of wearable devices.