• Journal of the Korean Society for Library and Information Science
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• v.57 no.1
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• pp.69-92
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• 2023

The purpose of the present study is to investigate the quality attributes of archival information service affecting user satisfaction. The independent variables in this study were equality, tangibles(appearance), convenience, responsiveness, empathy. And the dependent variable was a user satisfaction. The survey was conducted by online and offline for 78 people that used the archival information service. To solve the research question, we used the descriptive statistics, correlation analysis, multiple regression analysis. As a correlation analysis result, the quality attributes of archival information service had positive correlation with a user satisfaction. And as a multiple regression analysis result, tangibles(appearance) had a significant effect, followed by empathy and convenience. For improving on quality of archival information service, it is required that improving facilities, keeping environment clean, enhancing empathy ability, updating the information of archive, reforming search tools.

• IE interfaces
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• v.25 no.1
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• pp.21-30
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• 2012

In the past, buyers and suppliers met each other to find common interests off-line in exhibitions and conferences, or through personal connection. These activities were time consuming and costly. With the advent of information era, these activities moved to online market places, where buyers search for suppliers with a set of keywords that are believed to be representative of their requirements. Its fundamental assumption is that all the potential candidates are registered in a certain database. However, recently buyers want to diversify suppliers due to needs of cost competitiveness or frequent new product development. To this end, instead of choosing suppliers from the supplier pool, discovering suppliers from all over the world should be emphasized. In order to enable buyers to describe their requirements and suppliers to capture their manufacturing capabilities via online market places, the semantic differences of terms between buyers and suppliers should be resolved. The paper summarizes various supplier discovery frameworks and prototype systems, which can be employed to expose domestic small-medium enterprises into global buyers in the near future.

• The Journal of Korean Medicine
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• v.43 no.1
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• pp.73-86
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• 2022

Objectives: In the health care industry, the influence of online reviews is growing. As medical services are provided mainly by providers, those services have been managed by hospitals and clinics. However, direct promotions of medical services by providers are legally forbidden. Due to this reason, consumers, like patients and clients, search a lot of reviews on the Internet to get any information about hospitals, treatments, prices, etc. It can be determined that online reviews indicate the quality of hospitals, and that analysis should be done for sustainable hospital marketing. Method: Using a Python-based crawler, we collected reviews, written by real patients, who had experienced Korean medicine, about more than 14,000 reviews. To extract the most representative words, reviews were divided by positive and negative; after that reviews were pre-processed to get only nouns and adjectives to get TF(Term Frequency), DF(Document Frequency), and TF-IDF(Term Frequency - Inverse Document Frequency). Finally, to get some topics about reviews, aggregations of extracted words were analyzed by using LDA(Latent Dirichlet Allocation) methods. To avoid overlap, the number of topics is set by Davis visualization. Results and Conclusions: 6 and 3 topics extracted in each positive/negative review, analyzed by LDA Topic Model. The main factors, consisting of topics were 1) Response to patients and customers. 2) Customized treatment (consultation) and management. 3) Hospital/Clinic's environments.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.20 no.1
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• pp.209-220
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• 2009

The purpose of this study is to investigate the information behavior of the junior high school students in the public library and to find the effectiveness of the behavior analysis using a cognitive work analysis(CWA). Data was collected through a dept interview and an observation method. Results show that the students had four constraints when they searched materials for reports: relevant materials for reports, limitation of materials, opening hours, use possibility. There are three behavior types. A type is that students find materials on the shelf through searching an online catalog, then make a report using reading the materials. B type is that students find materials on the shelf and check out the materials. C type is that students find materials and check out them by library staff help. CWA can be used for the information behavior research on the library space. CWA can, however, apply for space redesign when various researches would be conducted about the information behavior.

• Journal of Intelligence and Information Systems
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• v.28 no.1
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• pp.1-28
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• 2022

In recent years, many Internet giants have begun providing their own content services, which attract online users by offering personalized services based on artificial intelligence technologies. This study investigates the role of two firms' content services within the firms' online service network. We examine the role of Naver Webtoon, which can be characterized as a professional-generated content, within Naver's service portfolio, and that of Google YouTube, which can be characterized as a user-generated content, within Google's service portfolio. Using survey data on viewers' use of the two services, we analyze a valued directed service network, where a node denotes an online service and a relationship between two nodes denotes a sequential use of two services. We found that both Webtoon and YouTube show higher out-degree centrality than in-degree centrality, which implies these content services are more likely to be starting services rather than arriving services within the firms' interactive network. The gap between the out-degree and in-degree centrality of YouTube is much smaller than that of Webtoon. The high centrality of YouTube, a user-generated content service, within the Google service network shows that YouTube's initial role of providing specific-content videos (e.g., entertainment) has expanded into a general search service for users.

• The Journal of the Korea Contents Association
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• v.7 no.2
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• pp.230-236
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• 2007

It is widely recognized that tourism information can be defined as useful and reliable reference which significantly influences the traveler's decision making. As the tourism organizations with online network, along with information system offer an array of information to the public, the passengers more frequently seek and search needed information via internet. However, currently existing tourism contents are mainly designed for suppliers, being viewed by customers perspective, those contents do not reflect the clients inquiries and needs. With the advent of consumer based technology and favorable environment, current tourism-related web sites show some changes from tourism suppliers to User-Created Contents(UCC). The major purpose of this research is to identify the tourism contents provided by both supplier and tourists themselves. Additionally, this paper also indicates research issues for further study.

• Journal of Korea Society of Industrial Information Systems
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• v.15 no.2
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• pp.59-67
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• 2010

Rice varietal information exchange is vital for agricultural experiments and trials. With the growing size of rice data gathered around the world, and numerous research and development achievements, the effective collection and convenient ways of data dissemination is an important aspect to be dealt with. The collection of this data is continuously worked out through various international cooperation and network programs. The problem in acquiring this information anytime anywhere is the new challenge faced by rice breeders, scientist and crop information specialists, in order to perform rapid analysis and obtain significant results in rice research, thus alleviating rice production. To address these constraints, we propose an Online Analytical Query System, a web query application to provide breeders and rice scientist around the world a fast web search engine for rice varieties, giving the users the freedom to choose from which trial it has been used, trait observation parameters as well as geographical or weather conditions, and location specifications. The application uses data warehouse techniques and OLAP for summarization of agricultural trials conducted, and statistical analysis in deriving outstanding varieties used in these trials, consolidated in an Model-View-Controller Web framework.

• International Journal of Computer Science & Network Security
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• v.23 no.10
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• pp.97-106
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• 2023

Sentiment analysis using social network platforms such as Twitter has achieved tremendous results. Twitter is an online social networking site that contains a rich amount of data. The platform is known as an information channel corresponding to different sites and categories. Tweets are most often publicly accessible with very few limitations and security options available. Twitter also has powerful tools to enhance the utility of Twitter and a powerful search system to make publicly accessible the recently posted tweets by keyword. As popular social media, Twitter has the potential for interconnectivity of information, reviews, updates, and all of which is important to engage the targeted population. In this work, numerous methods that perform a classification of tweet sentiment in Twitter is discussed. There has been a lot of work in the field of sentiment analysis of Twitter data. This study provides a comprehensive analysis of the most standard and widely applicable techniques for opinion mining that are based on machine learning and lexicon-based along with their metrics. The proposed work is helpful to analyze the information in the tweets where opinions are highly unstructured, heterogeneous, and polarized positive, negative or neutral. In order to validate the performance of the proposed framework, an extensive series of experiments has been performed on the real world twitter dataset that alter to show the effectiveness of the proposed framework. This research effort also highlighted the recent challenges in the field of sentiment analysis along with the future scope of the proposed work.

• Asia Marketing Journal
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• v.14 no.3
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• pp.119-135
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• 2012

The purpose of this research is to investigate the effects of the product display type on the consumers' purchase intention, attitude toward store, and revisit intention in the various mobile shopping situations. To test the hypothesis, between-subjects experiment with 3 mobile shopping situations (outdoor place, public transportation, commercial facilities) by 3 product display types (search, category, product) was conducted, and analyzed with ANCOVA (analysis of covariance). The result of the experiment shows there are no main effects of the mobile shopping situations and the product display types, but the interaction effects of the product display type and the mobile shopping situation on the purchase intention and the revisit intention are statistically significant. However the attitude toward the store is not affected by the treatments. Experiment results suggest that the positive consumer responses in terms of the purchase and revisit intention can be achieved when the product display is matched with the situation in the mobile shopping setting. Controlling consumers' evaluation on the product information and their experience of online shopping, we can take these effect as the results of match-up between the product display type and the situational factors surrounding mobile shopping. The result provides strong support for the location-based service in mobile shopping. Most of the mobile device can utilize the consumers' location which can be easily interpreted as the situational factors. With regard of the level of the external stimulation, the shopping service providers can offer the main interface with the right match with the consumers' situations. When the external stimulation level is high, they should provide the category display or product display in the target promotion in their mobile shopping apps. However if the target is on the way with the low external stimulation level, they should provide the search format as the main interface in their apps. More interestingly, this kind of manipulation does not affect the consumers' attitude toward the store according to our research result. Future research direction is discussed.

• Journal of Global Scholars of Marketing Science
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• v.17 no.4
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• pp.201-221
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• 2007

Recently price as an information clue on online shopping has become important and price dependency has been also increased. This study suggests the flow which customers experience on online shopping plays a leading role in a matter of revisiting intention, but price sensitivity has a possibility to decrease the flow on the basis of literature investigation. While telling the differences in types of shopping malls, this study also examines relationship verifications with price sensitivity, flow of internet shopping mall and revisiting intension. The results show the flow experience through temporal dissociation makes increase a revisiting intention. To the contrary, this study presents a price search dimension in price sensitivity has negative influence to each dimension of temporal dissociation, heightened enjoyment and curiosity and also the relationship between price importance and flow is rejected. In addition, this influence gets different results by internet auction, pure internet shopping mall, shopping mall which can show price comparisons. In the case of shopping mall which can show price comparisons, more price researches become less curiosities and more heightened enjoyments and curiosities get more revisiting intentions. In the internet auction's case, price search decreases a temporal dissociation and heightened enjoyment and improves a revisiting intention when a temporal dissociation and heightened enjoyment are increased. Price research reduces three types of flow dimensions such as a temporal dissociation, heightened enjoyment, and curiosity in the pure internet shopping mall. In addition, only heightened enjoyment affects to a revisiting intentions.