• Journal of the Korean Society of Costume
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• v.60 no.10
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• pp.146-162
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• 2010

The purposes were to identify clothing shopping orientation and service perception of online shopping mall according to Mongolian's internet lifestyle. A questionnaire developed by researchers was used and 310 Mongolian in 20's were the subjects. Survey was done during Jan. and Feb. 2010. Most Mongolian used internet at home or office and had used internet less than one year. Half of Mongolian visited online shopping mall less than 5 times during last year. Most Mongolian did not buy any fashion items at online mall but had higher intention to shop at online mall. Factors of Mongolian's internet lifestyle were information search, shopping pursuit, and utilizing ability and segmented into internet heavy users and light users. Factors of fashion shopping orientation were individuality & brands, fashion, diversity, economy, pleasure, and efficiency and factors of online shopping mall service were order & delivery and products. Internet heavy users were found more frequently among married men with high income, experienced online shopping more, showed higher fashion shopping orientation, and pursued online shopping mall service more. Internet light users were among unmarried women with low income, not experienced online shopping, showed lower fashion shopping orientation, and pursued online shopping mall service less.

• Journal of Korean Society of Archives and Records Management
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• v.20 no.4
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• pp.107-128
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• 2020

In recent years, many users preferred video records, and as the broadcasting video data becomes necessary, the demand for video records' use has increased. However, most broadcasters' archive agencies currently provide archive services only for internal employees, and for the general public. In this study, the web-based online information services provided to the general public in the archive sites of domestic and foreign public broadcasting companies were examined and analyzed. The evaluation criteria for the web-based records information services were identified in three service areas: online accessibility, search and online browsing, and outreach or expansion services. The overseas public broadcasters' web-based services and the public broadcasting companies' current status were examined for each area. Based on the examination, direction improvements, such as providing online search and records, developing various outreach services, and expanding user levels were proposed for the information services on broadcasting video data in public broadcasting companies for the general public.

• Journal of the Korean Society for Library and Information Science
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• v.30 no.4
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• pp.39-60
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• 1996

A variety of searcher traits, characteristics, subject background and behaviors have been the subject of investigations exploring various hypotheses relating to searching performances. Previous studies have focused on searchers personal characteristics such as training, experience, subject knowledge, intelligence, cognitive style, attitude and searching style, Each of these factors is examined in this paper in order to find out searcher's personal characteristics affecting searching performance. Surprisingly, searching training and experience have not been found to influence searching performance. The hypothesis that intellectual ability correlates with the ability to online search seems to have little effect Various cognitive styles of searchers were tested to find out whether they relate to search results. Only FD/Fl cognitive style were found to be significant in relation to search results. Searchers showed a variety of attitudes about online searching. They revealed sensitivity toward searching charges. The attitude toward charges was reflected on the searching behavior. The sensitive searchers tend to conduct cost-effective searches, Searching styles of intermediaries were characterized as interactive and fast batch. It was found that experienced searchers prefer simple searches which do not explore the interactive capabilities of online system. In summary, previous studies have confirmed that there are apparently great individual differences among online searchers in searching behaviors as well as attitudes. But relationships between these individual differences and search performance were too weak to be significant.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.7 no.1
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• pp.147-169
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• 1994

The study is to assist system developers or designers who are participated in the design of the user-computer interface on online services such as Online Public Access Catalogue and Online Search-ins. To design the optimal user interface, system developers and designers should try to complete the following process orderly: 1) they should know and understand the active and potential user's information seeking behaviors concerning online services in details as possible. 2) they should design the conceptional user model on basis of that knowledge. 3）They should design the logical and hierachical computer model adaptable to the current environment. 4) they should design the display of the computer terminal which is ease to learn and use by the users. 5) finally, they should design the optimal and practical user inter-face on basis of the above 2, 3, and 4.

• The Journal of Information Systems
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• v.26 no.3
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• pp.171-185
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• 2017

Purpose Recently, there has been an increase in attempts to analyze social phenomena, consumption trends, and consumption behavior through a vast amount of customer data such as web search traffic information and social buzz information in various fields such as flu prediction and real estate price prediction. Internet portal service providers such as google and naver are disclosing web search traffic information of online users as services such as google trends and naver trends. Academic and industry are paying attention to research on information search behavior and utilization of online users based on the web search traffic information. Although there are many studies predicting social phenomena, consumption trends, political polls, etc. based on web search traffic information, it is hard to find the research to explain and predict tourism demand and establish tourism policy using it. In this study, we try to use web search traffic information to explain the tourism demand for major cities in Gangwon-do, the representative tourist area in Korea, and to develop a nowcasting model for the demand. Design/methodology/approach In the first step, the literature review on travel demand and web search traffic was conducted in parallel in two directions. In the second stage, we conducted a qualitative research to confirm the information retrieval behavior of the traveler. In the next step, we extracted the representative tourist cities of Gangwon-do and confirmed which keywords were used for the search. In the fourth step, we collected tourist demand data to be used as a dependent variable and collected web search traffic information of each keyword to be used as an independent variable. In the fifth step, we set up a time series benchmark model, and added the web search traffic information to this model to confirm whether the prediction model improved. In the last stage, we analyze the prediction models that are finally selected as optimal and confirm whether the influence of the keywords on the prediction of travel demand. Findings This study has developed a tourism demand forecasting model of Gangwon-do, a representative tourist destination in Korea, by expanding and applying web search traffic information to tourism demand forecasting. We compared the existing time series model with the benchmarking model and confirmed the superiority of the proposed model. In addition, this study also confirms that web search traffic information has a positive correlation with travel demand and precedes it by one or two months, thereby asserting its suitability as a prediction model. Furthermore, by deriving search keywords that have a significant effect on tourism demand forecast for each city, representative characteristics of each region can be selected.

• Journal of Information Technology Applications and Management
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• v.16 no.1
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• pp.21-36
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• 2009

As the World Wide Web (WWW) has become a major channel for information delivery, the data accumulated in the Internet increases at an incredible speed, and it derives the advances of information search technologies. It is the search engine that solves the problem of information overloading and helps people to identify relevant information. However, as search engines become a powerful tool for finding information, the opportunities of plagiarizing have increased significantly in e-Learning. In this paper, we developed an online plagiarism detection system for detecting plagiarized documents that incorporates the functions of search engines and acts in exactly the same way of plagiarizing. The plagiarism detection system uses morpheme analysis to improve the performance and sentence-based comparison to investigate document comes from multiple sources. As a result of applying this system in e-Learning, the performance of plagiarism detection was improved.

• Fashion & Textile Research Journal
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• v.21 no.6
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• pp.743-753
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• 2019

This study investigates differences in demographic characteristics, shopping orientation, perceived risk, and satisfaction after purchase among consumer types. This study classifies consumer types according to their channel transition behaviors between the online and offline channels with a focus on the steps of information research and buying decision in buying decision-making process. The four consumer groups are as follows: off-off type (offline research-offline purchase), on-on type (online research-online purchase), on-off type (online research-offline purchase) and on/off-off type (online and offline research-offline purchase), off-on type (offline research-online purchase) and on/off-on type (online and offline research-online purchase). Data were collected from adults over 20 years old who had bought clothes within one year. The questionnaire was carried out from July, 2019 using a professional internet research panel; in addition, 500 sets of useful data were analyzed by descriptive statistics, factor analysis, reliability analysis, chi-squared test, ANOVA and Duncan-test using SPSS 21.0. The findings showed significant differences among the classified consumer groups for consumer demographics, shopping orientation, perceived risk, and purchase after satisfaction. The results imply that consumers show a variety of channel transition behaviors based on demographic variables, shopping orientation, and perceived risk. Understanding and adapting to consumer purchase behaviors will allow company distribution channels to be effectively managed and eventually increase consumer satisfaction as well as company sales volume.

• Journal of Korean Library and Information Science Society
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• v.43 no.4
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• pp.183-199
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• 2012

This study is to develop an operating model of Conspectus for online resources by using mechanistic quality factor. Based on some empirical statistics about resource use behaviour such as collection rate, use rate, search rate, the mechanistic quality factor was calculated and applied to each subject by adjusting its acquisition level of Conspectus. according to the result of this study, Acqusition levels of the subject such as technical science which shows higher in use rate, and those such as history and social science which show higher in search rate, should be adjusted to a higher acquisition level, and those of others to the same or a lower level.

• Journal of Information Processing Systems
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• v.9 no.4
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• pp.548-566
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• 2013

The availability of technology and the abundance of experts in universities create an ample opportunity to provide a venue that allows a knowledge seeker to easily connect with and request advice from university experts. On the other hand, outsourcing provides opportunities and remains one of the emerging trends in organizations, and can very clearly observed in the Philippines. This paper describes the development of a reliable web-based approach to Knowledge Product Outsourcing (KPO) services in the Silliman Online University Learning system. The system is called an "e-Knowledge Box."It integrates Web 2.0 technologies and mechanisms, such as instant messaging, private messaging, document forwarding, video conferencing, online payments, net meetings, and social collaboration together into one system. Among the tools used are WAMP Server 2.0, PHP, BlabIM, Wordpress 3.0, Video Whisper, Red5, Adobe Dreamweaver CS4, and Virtual Box. The proposed system is integrated with the search engine in URLs, Web feeds, email links, social bookmarking, search engine sitemaps, and Web Analytics Direct Visitor Reports. The site demonstrates great web usability and has an excellent rating in functionality, language and content, online help and user guides, system and user feedback, consistency, and architectural and visual clarity. Likewise, the site was was rated as being very good for the following items: navigation navigation, user control, and error prevention and correction.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2015.10a
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• pp.374-377
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• 2015

O2O(Online-to-offline) service is the new commerce system form that mixed information search and payment of products and services from online and receipt of goods from offline. O2O commerce combine advantage of existing electronic commerce and redeem the critical point of each commerce circulation method, but earnings model is still lacking compared to development speed of O2O technology. Therefore this study drew common factor applied to O2O service to search success factor of O2O commerce on the point of view as a customer Centered by existing B2C electronic commerce, Mobile commerce, and service quality model of offline commerce included O2O commerce method. Further we suggest O2O success factor model combined new O2O success factor additionally reflecting qualitative research result based on drew O2O success service Quality factor.