• Journal of Distribution Science
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• v.16 no.5
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• pp.61-70
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• 2018

Purpose - These days, an individual user, private entity, hears everyday news of hacking and personal information leakage in the era of a most-connected society. This study investigates cyber attack, cyber insurance and distribution channels for insurance goods in South Korea by analyzing various cases of cyber attacks in domestic and overseas case. Research design, data and methodology - This study adopted various study cases instead of the one large case for deep quality analysis, and focused on various cases of domestic and overseas cyber attacks with insurance. Result - As a result of analyzing the cases that were hacked, types of massive losses and damages arising out of internet blackout due to cyber risks are paralyzation of public and private website and portal, electronic administrative system, public infrastructure, and consequently a normal operation of nation is impossible. These losses and damages however can be coverable under cyber insurance. Conclusions - This paper suggests insurance carriers, as suppliers, should provide multiple channels to sell to the customer and should expand the strategy of advertisement and promotion in order for them to change their mind and compare the price and value of the information of individual users and private entity in view of cost savings.

• Journal of the East Asian Society of Dietary Life
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• v.14 no.3
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• pp.302-308
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• 2004

This study was conducted to compare the acquiring and using patterns of information about food and nutrition between medical professional group (MP) and non-medical professionals group (NP). Questionnaire survey were done by total 310 subjects, 149 doctors/nurses (MP) working in Dankook University Hospital and 161 general laborers (NP) in Cheonan area. Personal characteristics, interests in food and nutrition information, and application of information about food and nutrition were asked in questionnaire. Age of MP and NP ranged from 20 to 50. In education level, 59.8% of MP and 46.6% of NP had college degree. The source of information favored the most was the internet website, 53.0% in MP and 51.6% in NP. The most interested information subjects in MP were ‘the diet therapy related to diseases’, and ‘cooking recipes’ in NP. The information was applied to their real life in 55.7% of MP and 58.4% of NP. The percentiles who would like to take part in the education about food and nutrition through internet system were 44.3% of MP and 34.8% of NP. From the results of this study, we concluded that many of MP and NP wanted and needed the education on food and nutrition through internet system. For being the better and more efficient source for the information about food and nutrition, internet websites should provide accurate informations and easier method to find the needed information to the users.

• The Journal of the Korea Contents Association
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• v.1 no.1
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• pp.100-108
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• 2001

To develope more competitive products, lots of attentions are paid to the study of user participation in the process of product design. In this circumstance, the user participation at a usability testing phase is relatively active. However, the usability testing in the controlled laboratory has some drawbacks. for stance, It needs a lot of money, efforts, and time. Most of all, it is difficult to collect a vast range of data and gain a fast feedback Recently, to overcome these difficulties mentioned above, international usability testing has been applied. Especially, usability testing Contents through Internet is considered most effective one. Because it has a lot of merits such as easiness of collecting remote user, simplicity of collecting data, cost effectiveness and so on. With these merits, this study takes advantage of using a WWW to carry out usability test and to collect remote usability data. And a website was development for posting computer simulated product so that the remote users can test its usability through internet.

• The Journal of Information Systems
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• v.21 no.3
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• pp.117-136
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• 2012

Given to the prevalence of social commerce such as Groupon, Ticketmonster, and Coupang, it has become critical to understand customer purchasing behavior in social commerce environments. When consumers make purchasing decisions in social commerce, they often act impulsively. This is because social commerce is a deal-of-the-day website that features discounted gift certificates usable at local companies. However, the vast majority of social commerce research has viewed consumer decision-making as a rational process. This study develops a theoretical framework to investigate key drivers of customer's impulsive purchasing in social commerce. This study identifies flow, positive emotion, negative emotion, social commerce attractiveness, and discounted price as the key antecedents of impulsive purchasing. Data collected from 164 users who had prior purchasing experiences with social commerce were empirically tested against the research model using partial least squares analysis. The analysis results indicate that flow plays an important role in facilitating customers' impulsive purchasing in social commerce environments. Moreover, the findings show the exact roles of positive emotion, negative emotion, social commerce attractiveness, and discounted price on consumer's impulsive purchasing.

• Journal of the Korean Society for information Management
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• v.20 no.2
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• pp.219-239
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• 2003

The purpose of this study is to provide library users with the effective way of use on academic library and its collection. In order to achieve this purpose the menu structure and question contents appearing at the FAQs of academic library Website were analyzed. And also, guidelines for effective use of a university library via FAQ at different access stages were proposed. It is expected that the result of this study can help both a Web designer to the development and implementation of efficient library FAQs and a creator of a library use guidebook.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2015.05a
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• pp.756-759
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• 2015

As the struggle to get a job becomes increasingly ferocious year after year, the website offering a range of employment information have continued to gain popularity. Those website, however, are not of much help when it comes to an interview to face the interviewer. Furthermore, many people suffer depression due to the heavy stress they are under while making preparations for employment or working for an organization. The current employment website do not have a team of professionals to deal with such issues. In an effort to solve those problems, the present study made arrangements to allow users to put in an enormous amount of employment information based on Google App Engine(GAE) and Google Web Toolkit(GWT) and upload interview videos. In addition, a Q&A board was created to help those who prepare for employment or current workers relieve their stress and provide them with access to a team of counseling professionals.

• Journal of Intelligence and Information Systems
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• v.22 no.3
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• pp.113-127
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• 2016

Among the techniques for recommendation, collaborative filtering (CF) is commonly recognized to be the most effective for implementing recommender systems. Until now, CF has been popularly studied and adopted in both academic and real-world applications. The basic idea of CF is to create recommendation results by finding correlations between users of a recommendation system. CF system compares users based on how similar they are, and recommend products to users by using other like-minded people's results of evaluation for each product. Thus, it is very important to compute evaluation similarities among users in CF because the recommendation quality depends on it. Typical CF uses user's explicit numeric ratings of items (i.e. quantitative information) when computing the similarities among users in CF. In other words, user's numeric ratings have been a sole source of user preference information in traditional CF. However, user ratings are unable to fully reflect user's actual preferences from time to time. According to several studies, users may more actively accommodate recommendation of reliable others when purchasing goods. Thus, trust relationship can be regarded as the informative source for identifying user's preference with accuracy. Under this background, we propose a new hybrid recommender system that fuses CF and social network analysis (SNA). The proposed system adopts the recommendation algorithm that additionally reflect the result analyzed by SNA. In detail, our proposed system is based on conventional memory-based CF, but it is designed to use both user's numeric ratings and trust relationship information between users when calculating user similarities. For this, our system creates and uses not only user-item rating matrix, but also user-to-user trust network. As the methods for calculating user similarity between users, we proposed two alternatives - one is algorithm calculating the degree of similarity between users by utilizing in-degree and out-degree centrality, which are the indices representing the central location in the social network. We named these approaches as 'Trust CF - All' and 'Trust CF - Conditional'. The other alternative is the algorithm reflecting a neighbor's score higher when a target user trusts the neighbor directly or indirectly. The direct or indirect trust relationship can be identified by searching trust network of users. In this study, we call this approach 'Trust CF - Search'. To validate the applicability of the proposed system, we used experimental data provided by LibRec that crawled from the entire FilmTrust website. It consists of ratings of movies and trust relationship network indicating who to trust between users. The experimental system was implemented using Microsoft Visual Basic for Applications (VBA) and UCINET 6. To examine the effectiveness of the proposed system, we compared the performance of our proposed method with one of conventional CF system. The performances of recommender system were evaluated by using average MAE (mean absolute error). The analysis results confirmed that in case of applying without conditions the in-degree centrality index of trusted network of users(i.e. Trust CF - All), the accuracy (MAE = 0.565134) was lower than conventional CF (MAE = 0.564966). And, in case of applying the in-degree centrality index only to the users with the out-degree centrality above a certain threshold value(i.e. Trust CF - Conditional), the proposed system improved the accuracy a little (MAE = 0.564909) compared to traditional CF. However, the algorithm searching based on the trusted network of users (i.e. Trust CF - Search) was found to show the best performance (MAE = 0.564846). And the result from paired samples t-test presented that Trust CF - Search outperformed conventional CF with 10% statistical significance level. Our study sheds a light on the application of user's trust relationship network information for facilitating electronic commerce by recommending proper items to users.

• Journal of the Korea Fashion and Costume Design Association
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• v.23 no.2
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• pp.93-104
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• 2021

The worldwide coronavirus pandemic has brought to light the importance of having a reliable supply of masks for each person. This study aims to understand the effect of personal awareness (including community, others', and safety awareness) on consumption conformity and the repurchase intention of masks. The research method used the SPSS 22.0 and AMOS 22.0 statistical systems to analyze descriptive statistics in terms of reliability, validity, structural equation modeling, and moderated regression analysis. A total of 272 Chinese participants were recruited via an online survey website (www.sojump.com) from May 1 to May 14, 2020. Findings indicated that mask users' awareness can be categorized into three distinct types: community, others', and safety awareness. The more community and safety awareness is perceived, the higher the level of consumption conformity. In contrast, others' has no statistical effect on consumption conformity or repurchase intention. The positive influence of consumption conformity on the repurchase intention of masks is also weaker than price perception. However, another moderating variable, mask quality, has no moderating effect. The results of this study can help mask manufacturers and distributors retain their customers, resulting in reasonable protective measures while maintaining market order. Theoretical and managerial implications for mask suppliers are also provided.

• Journal of the Korean Society for information Management
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• v.28 no.4
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• pp.85-97
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• 2011

The purpose of this study was to develop a methodology of user participation evaluation of a scholarly information site in the field of science and technology and to enhance the site by applying a set of testing protocols. Experiments were conducted in a laboratory setting. Data from multiple sources, including eyetracking, search logs and post surveys, were collected and analyzed quantitatively. Based on the results of eyetracking, the contents and images were reorganized after removing unessential elements in the site. The resulting data from the search logs showed that the users were able to finish the tasks more quickly with the revised user interface. The results of the data analysis of post surveys indicated an overall improvement in the revised website compared to the original one.

• Journal of Korean Library and Information Science Society
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• v.54 no.4
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• pp.179-203
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• 2023

The purpose of this study is to identify (1) the attitudes of seniors toward library digitalization, (2) factors that lead them to use digital information in libraries, and (3) factors that hinder or prevent them from using digital information in libraries. As a result of conducting 1:1 in-depth interviews with 20 senior users of the National Library of Korea, the majority of seniors had a favorable attitude toward library digitalization. 'Librarian' and 'vision and font size' were found to be the most important factors for seniors' use of digital information. These two factors are factors that enable the use of digital information, but they are also factors that prevent or hinder the use of digital information. In addition, factors for the use of digital information include 'characteristics of the content' and 'convenience', factors for non-use include 'attitude and psychological factors' and 'physical properties of books', and hindering factors include 'website usability issues'.