• Journal of Korean Library and Information Science Society
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• v.54 no.1
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• pp.167-190
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• 2023

This study is a literature study that analyzed the research data curation models using activity theory as a theoretical framework. Based on the factors of the activity used in the activity theory, this study analyzed various research data curation models, as well as issues that needed discussion in the library field in carrying out research data curation activities. And based on this, a new research data curation conceptual model was proposed. This study analyzed how the five previously proposed digital curation lifecycle models are configured, and analyzed the actions presented sporadically in each model. A new research data curation conceptual model was proposed by analyzing factors, extracting common factors and integrating them into a new model. In addition, six issues to be considered in carrying out research data curation activities in libraries and repositories were analyzed and discussed. The research data curation conceptual model proposed in this study consists of a total of 10 steps, and it contains practical issues and contradictions to consider at each stage of activity.

• Journal of the Korean Society for Library and Information Science
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• v.54 no.1
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• pp.175-195
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• 2020

The purpose of this study is to propose a data curation service to support teaching and learning activities of university libraries. To this end, the concept of data curation has been summarized, and how to understand information services and teaching-learning information data curation of university libraries. As a traditional extension of library information services, the use of university library data curation services has been proposed. As a result of research, data curation suggests that it is appropriate to understand the data by focusing more on the utilization of data. The university library emphasized that the data curation service is needed through the establishment of an institutional repository of teaching-learning activity materials for the visible effects that contribute to the educational service of the parent university. Finally, the research was completed by presenting five levels of teaching and learning information data curation framework.

• Fashion & Textile Research Journal
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• v.25 no.1
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• pp.41-51
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• 2023

This study attempted to analyze the context characteristics and consumer characteristics that affect fashion curation shopping. The data used for this study were 223 questionnaires targeting male and female college students in their 20s in Busan and South Gyeongsang Province who had had the curated shopping experience in the latest three months. The SPSS program was used for the data analysis, and a reliability measurement, factor analysis, multiple regression analysis, T-test, and one-way ANOVA were conducted. The results were as follows. First, fashion curation shopping exhibited three factors: product subscription, marketing use, and product recommendation shopping. Furthermore, the context characteristics had sub concepts of five factors: selection, sharing, experience, discovery, and storage. Second, the context characteristics (selection, sharing, experience, discovery, and storage) had a significant influence on product subscription, marketing use, and product recommendation, which belong to the curation shopping category. Third, the fashion consumers' price sensitivity, trend sensitivity, and product knowledge had a deep impact on the marketing use and product recommendation. Fourth, there was no difference in the fashion curation shopping by male and female consumers and the average monthly fashion shopping frequency, and there were differences in shopping cost and time. This study can analyze the context and consumer characteristics that affect fashion curation shopping to establish an efficient fashion curation shopping system in practical terms. Additionally, academically, it can be proposed as basic data on the development of measurement tools for analyzing consumer behavior that prefers fashion curation shopping.

• Journal of Distribution Science
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• v.18 no.6
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• pp.5-14
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• 2020

Purpose: This study was based on curation commerce that has been rapidly developing. It looked into the effect of curation commerce's quality of service factors (information quality, information interest quality, interaction quality, and personalization quality) on satisfaction and the mediating effect of consumer empathy and shopping value between service qualities and consumers' satisfaction with curation commerce. Research design, data, and methodology: The survey was conducted on 273 consumers who used Chinese curation commerce services. The research data was analyzed using the Smart PLS 3.0 program. The empirical analysis was conducted with reliability and validity analyses of the questionnaire and hypothesis test. Results: As a result, only the quality of information had a direct impact on satisfaction. The remaining service quaility factors (information interest quality, interaction quality, and personalization quality) were found to affect satisfaction through utilitarian value or consumer empathy. Conclusions: This study is meaningful in that it selected the service quality factors experienced by consumers about curation commerce services in line with the bright market prospects of curation services. In addition, the significance of this study was to reveal the psychological mechanism of the process in which the quality of service reaches consumer satisfaction.

• Journal of Fashion Business
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• v.22 no.6
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• pp.70-82
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• 2018

In modern society, the means of sharing information has expanded from existing personal computers and mobile devices to a variety of smart devices rapidly increasing information production. Recently, curations have extended to online businesses. There has been wide use of curation services in the cosmetics curation market. In this study, focuses on factors which cosmetics curators have in mind. In relation to the impact of cosmetics curation quality properties on usability, the effects of the medium of satisfaction and confidence are to be verified. For this study, a survey of 378 women in their 20s and 40s who had experience with curations was done and the collected data were analyzed using SPSS 23.0 and AMOS 23.0 statistics programs. The results showed that information quality and personalization quality of cosmetics curation service were important factors affecting customer satisfaction. Personalization quality also had a positive effect on trust. System quality has a positive impact on trust and further influence on intention to use. This indicates that the trust on the curation service depends on the stability of system. However, design quality was found to have no significant effect on satisfaction and trust. In future, the research related to application and utilization of big data-based cosmetic curation will be further expanded.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.2
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• pp.676-691
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• 2022

An increasing number of companies in the fashion industry are using AI curation services. The purpose of this study is to investigate perceptions of and intentions to use AI fashion curation services among customers by using text mining. To accomplish this goal, we collected a total of 34,190 online posts from two Korean portals, Naver and Daum. We conducted frequency analysis to identify the most frequently mentioned keywords using Textom. The analysis extracted "various," "good," "many," "right," and "new" at the highest frequency, indicating that consumers had positive perceptions of AI fashion curation services. In addition, we conducted a semantic network analysis with the top-50 most frequently used keywords, classifying customers' perceptions of AI fashion curation services into three groups: shopping, platform, and business profit. We also identified the factors that boost continuous use intentions: usability, usefulness, reliability, enjoyment, and personalization. We conclude this paper by discussing the theoretical and practical implications of these findings.

• Journal of Information Technology Applications and Management
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• v.24 no.1
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• pp.33-43
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• 2017

The content curation service through big data analysis is receiving great attention in various content fields, such as film, game, music, and book. This service recommends personalized contents to the corresponding user based on user's preferences. The existing book curation systems recommended books to users by using bibliographic citation, user profile or user log data. However, these systems are difficult to recommend books related to character names or spatio-temporal information in text contents. Therefore, in this paper, we suggest a personalized book curation system based on integrated mining of a book. The proposed system consists of mining system, recommendation system, and visualization system. The mining system analyzes book text, user information or profile, and SNS data. The recommendation system recommends personalized books for users based on the analysed data in the mining system. This system can recommend related books using based on book keywords even if there is no user information like new customer. The visualization system visualizes book bibliographic information, mining data such as keyword, characters, character relations, and book recommendation results. In addition, this paper also includes the design and implementation of the proposed mining and recommendation module in the system. The proposed system is expected to broaden users' selection of books and encourage balanced consumption of book contents.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.30 no.1
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• pp.53-75
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• 2019

This study has examined the policy status of the specialized libraries and analyzed the status of curation services of libraries and similar institutions and portals, and proposed policy directions for the curation services provision of the specialized libraries. As for the results of this study, first, curation information is collected and selected through the participation of various curators, and the curation information is regularly updated on the websites and online gateways toward maximizing the perception of the book collections in place and the use of collections. Second, the scope of the specialized libraries' curation services are diversified, such as research support services, one-on-one customized curation services, and book curation. Third, digital curation services are constructed in connection with specialized themes. Fourth, beacon is installed inside, and based on the information received from the information forwarding media, individualized user services are provided via such data as the scope of movement of the users and the time entailed for dwelling in a space.

• The Journal of the Convergence on Culture Technology
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• v.9 no.4
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• pp.415-422
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• 2023

The purpose of this study is to discuss the improvement plan of book curation service by examining the current status of book curation, necessity and effectiveness of book curation, targeting librarian teachers. A questionnaire survey was conducted targeting 51 librarians in the Gyeonggi region. The main results are as follows. First, 86.3% of respondents had experience in book curation operation. Second, the most important reason for book curation service was to introduce resources of various subjects to students. Third, the subject of curation were selected by book event and social issues. Fourth, there were many cases where librarians performed services without receiving training on book curation. Lastly, although the recognition that book curation services are necessary is high, they are experiencing operational difficulties due to lack of space and budget. Based on the results, Based on the results, we suggested that this study has academic contributions as data that reports the reality of book curation, and that in order to actively match library resources with users without disappearing, professional education and curriculum of librarians should be able to eliminate common problems in previous studies.

• The Journal of the Korea Contents Association
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• v.17 no.9
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• pp.1-11
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• 2017

The importance of data curation is increasingly recognized as the need of data reuse drastically grows. Due to recent data explosion, scientists invest almost 90% of their efforts in the retrieval and collection of data needed to their study. In this paper, we deal with the development and application of a collaborative environment for community-driven data curation which is essential to enhance scientific data reusability and citability. The collaborative scientific data curation environment focuses on the cross-linking between data (or data collections) and their associated literatures to capture and organize inter-relations among research results in a specific domain. Also, plenty of contextual information is provided as metadata in order to support users in understanding data. The cross-linking has been realized by using DOI system to guarantee global accessibility to data and their relationships to literatures. The curation environment has been adopted to build a community-driven curated DB by a globally well-known intrinsically-disorderd protein research group. The curated DB will drastically reduce researchers' efforts to retrieve and collect the data required for scientific discovery.