• Journal of the Korean Society of Clothing and Textiles
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• v.35 no.1
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• pp.13-25
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• 2011

This study investigates the factors influencing consumer's channel selection for luxury fashion items, specifically the effect of (i) perceived luxury benefits, (ii) perceived online shopping risks, (iii) demographics, and (iv) purchasing behavior. A survey questionnaire was developed and implemented to measure the perceived luxury benefits, perceived online shopping risks, purchasing behaviors, and consumer demographics. A total of 396 responses were analyzed by one-way ANOVA, cross-tab, and multinomial logit analysis with SPSS18.0. The results are as follows. First, those who shop in offline shopping channels tend to be heavy buyers that look for product quality and conspicuousness. They perceive low risks from online shopping and purchase few bag items offline. Second, those who shop online tend to be men and perceive the high benefits of economic value. Third, those who shop in multi channels tend to be men, search for information via the Internet, and purchase few accessory items. Implications for multichannel strategies are suggested.

• Journal of Fashion Business
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• v.21 no.1
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• pp.124-133
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• 2017

This study analyzed consumers' online fashion shopping site usage by site type and analyzed how product information search and product purchase differ. In addition, by comparing and analyzing preference and selection factors of PC and mobile shopping, we tried to provide basic data of effective mobile commerce operation strategy according to expansion of mobile market in fashion industry. We surveyed the use of 6 types of online sites (portal site, open market, general shopping mall, social commerce shopping mall, brand shopping mall and non-brand shopping mall) to understand the usage of mobile shopping site for consumers' fashion products. Consumer survey subjects were 373 college students in their early 20s who had the most mobile shopping experiences. The questionnaire consisted of online fashion site usage items, internet and mobile fashion shopping preference (6 items), internet and mobile shopping choice behavior (10 items), and purchase intention (3 items) .Data were analyzed using SPSS 14.0 program. The high preference of portal sites, open market, social commerce, and non-brand shopping malls in shopping online fashion products is a result of the perceptual changes of major distribution channels and the trends of consumers' value consumption tendency. Therefore, it is necessary for fashion companies to actively cope with fashion product distribution competition with huge shopping sites of current online market by well understanding consumers' preference trends and factors of online sites.

• Journal of Korean Library and Information Science Society
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• v.51 no.4
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• pp.185-210
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• 2020

The library faced an unexpected crisis of COVID-19, and as a countermeasure strategy, non-face-to-face online service has been reinforced. Therefore, this study attempted to present a plan to overcome the challenges arising from rapidly changing external environment and current crisis. To this end, data search, electronic library, library service, cultural event and open space management status of 288 public libraries serviced as an integrated site were investigated. Based on this, the meaning of online services in the post-COVID-19 era and the implication of it were examined. As a result, first, the increase in the use rate of online data search services with the spread of non-face-to-face culture, second, the expansion of the services of the electronic library, third, the diversification of non-face-to-face, online services, fourth, expansion of online cultural event services, fifth, the diversification of open space services were proposed, sixth, Introduced an artificial intelligence system for unattended loan return based on access and the Seventh, expansion of experiential cultural support services and educational contents through VR, AR and MR. It is deemed necessary for the research on the future direction of the library's non-face-to-face services to be conducted by investigating the current status of online services in various types of libraries and the types and case studies of library services in the era of COVID-19.

• Journal of the Korean Society for information Management
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• v.24 no.3
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• pp.149-178
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• 2007

The purpose of this study is to analyze and evaluate the characteristics of online catalogs' interface of elementary school libraries, and to propose how to design user-friendly interfaces. The online catalogs of elementary school libraries are categorized into 6 types. Such topics as the features of search methods, the record display formats, the terminology usage, and the special features of the 6 types are discussed. Some shortcomings are examined and how to improve them is suggested.

• The Journal of Information Systems
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• v.14 no.2
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• pp.55-74
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• 2005

In order to purchase a product cheaper, a lot of customers have been trying to search one or more marketplaces. Ever since the commercial use of the Internet, several types of marketplaces have been operating successfully on the Internet. Some of them are online shopping malls, auction markets, and group-buying markets. They have the price settlement mechanisms of their own. Online shopping malls where many stores are located support a customer to purchase the product that matches his/her requests such as price, function, design, and so forth. In online auction market, a customer can buy the product by making bids sequentially and competitively until a final price is reached. In online group-buying market, a customer can purchase the product by aggregating the orders from several buyers so that cheaper prices can be negotiated. The cheaper customers could purchase the same product item, the more satisfied they would be. However, it is very difficult for the customer to determine the marketplace to purchase, considering different kinds of marketplaces at the same time. Even though the purchasing price is cheapest in one marketplace, it is very difficult for customers to convince it the cheapest for all marketplaces. Therefore, rules and methods have been developed for purchase decision making in multiple marketplaces to reach the optimal purchase decision as a whole. They can maximize customer's utility and resolve the conflicts with other marketplaces through multi-agent negotiation.

• Journal of the Korean Society for information Management
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• v.29 no.1
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• pp.63-94
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• 2012

The purpose of this study was to analyze and evaluate the characteristics of online catalogs' interface of children's libraries, and to propose how to design user-friendly interfaces. The online catalogs of 77 children's libraries which are registered on the National Library Statistics System as of December 2011 were analyzed. They are categorized into 7 types based on interface's characteristics. Such topics as the features of search methods, the record display formats, the terminology usage, and the special features of the 7 types were examined and discussed. Some shortcomings were examined and how to improve them was suggested.

• International Journal of Computer Science & Network Security
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• v.22 no.3
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• pp.396-404
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• 2022

Online social networks contain a large amount of data that can be converted into valuable and insightful information. Text mining approaches allow exploring large-scale data efficiently. Therefore, this study reviews the recent literature on text mining in online social networks in a way that produces valid and valuable knowledge for further research. The review identifies text mining techniques used in social networking, the data used, tools, and the challenges. Research questions were formulated, then search strategy and selection criteria were defined, followed by the analysis of each paper to extract the data relevant to the research questions. The result shows that the most social media platforms used as a source of the data are Twitter and Facebook. The most common text mining technique were sentiment analysis and topic modeling. Classification and clustering were the most common approaches applied by the studies. The challenges include the need for processing with huge volumes of data, the noise, and the dynamic of the data. The study explores the recent development in text mining approaches in social networking by providing state and general view of work done in this research area.

• The Journal of the Korea Contents Association
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• v.15 no.11
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• pp.571-581
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• 2015

In the field of Korean medicine (KM), KM terms has been mixed used for a long period. After the Society of KM had systematically organized the KM terms used in our country, the book for the Korean medical standard terminologies was published. In this study, we developed an online service based on the book. The online service provides various useful functions for searching the terms and their commentary and collecting users' opinions. Users can also compare the standard terms with their semantic search results and naver's knowledge search results within our system. By analyzing logs of our system, we suggested several directions for future development, including the improvement of search functions, advertisements, and the provision of open APIs. In the future, our online service might provide the important information on clinics, academic researches, and international standards.

• Journal of the Korean Society for information Management
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• v.15 no.1
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• pp.43-62
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• 1998

this study is to determine whether color, icon, sorting methods of brief description about materials, and postioning methods of final records affect the usability of the OPAC(Online Public Access Catalog) screen designs in terms of success rate, search time, and users' preferences. The findings suggest that OPAC systems can be optimized to enhance user's performances conflict with each other, designers should give more weight to performance because of the library's mission of meeting users' information needs.

• Journal of Intelligence and Information Systems
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• v.22 no.2
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• pp.81-96
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• 2016

As the internet has become widespread and easy to access everywhere, it is common for people to search information via online search engines such as Google and Naver in everyday life. Recent studies have used online search volume of specific keyword as a measure of the internet users' attention in order to predict disease outbreaks such as flu and cancer, an unemployment rate, and an index of a nation's economic condition, and etc. For stock traders, web search is also one of major information resources to obtain data about individual stock items. Therefore, search volume of a stock item can reflect the amount of investors' attention on it. The investor attention has been regarded as a crucial factor influencing on stock price but it has been measured by indirect proxies such as market capitalization, trading volume, advertising expense, and etc. It has been theoretically and empirically proved that an increase of investors' attention on a stock item brings temporary increase of the stock price and the price recovers in the long run. Recent development of internet environment enables to measure the investor attention directly by the internet search volume of individual stock item, which has been used to show the attention-induced price pressure. Previous studies focus mainly on Dow Jones and NASDAQ market in the United States. In this paper, we investigate the relationship between the individual investors' attention measured by the internet search volumes and stock price changes of individual stock items in the KOSDAQ market in Korea, where the proportion of the trades by individual investors are about 90% of the total. In addition, we examine the difference between industries in the influence of investors' attention on stock return. The internet search volume of stocks were gathered from "Naver Trend" service weekly between January 2007 and June 2015. The regression model with the error term with AR(1) covariance structure is used to analyze the data since the weekly prices in a stock item are systematically correlated. The market capitalization, trading volume, the increment of trading volume, and the month in which each trade occurs are included in the model as control variables. The fitted model shows that an abnormal increase of search volume of a stock item has a positive influence on the stock return and the amount of the influence varies among the industry. The stock items in IT software, construction, and distribution industries have shown to be more influenced by the abnormally large internet search volume than the average across the industries. On the other hand, the stock items in IT hardware, manufacturing, entertainment, finance, and communication industries are less influenced by the abnormal search volume than the average. In order to verify price pressure caused by investors' attention in KOSDAQ, the stock return of the current week is modelled using the abnormal search volume observed one to four weeks ahead. On average, the abnormally large increment of the search volume increased the stock return of the current week and one week later, and it decreased the stock return in two and three weeks later. There is no significant relationship with the stock return after 4 weeks. This relationship differs among the industries. An abnormal search volume brings particularly severe price reversal on the stocks in the IT software industry, which are often to be targets of irrational investments by individual investors. An abnormal search volume caused less severe price reversal on the stocks in the manufacturing and IT hardware industries than on average across the industries. The price reversal was not observed in the communication, finance, entertainment, and transportation industries, which are known to be influenced largely by macro-economic factors such as oil price and currency exchange rate. The result of this study can be utilized to construct an intelligent trading system based on the big data gathered from web search engines, social network services, and internet communities. Particularly, the difference of price reversal effect between industries may provide useful information to make a portfolio and build an investment strategy.