• Journal of Sasang Constitutional Medicine
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• v.30 no.1
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• pp.66-73
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• 2018

Objectives The purpose of this study was to develop mobile a application that evaluate the Mibyeong(deterioration of the health) in daily life and provide optimal Yangseng(養生) interventions according to the Korean medicine types. Methods The evaluation of Mibyeong utilized questionnaire or objective informations including Facial photographs and hemodynamic information. The Korean medicine type classification was reconstructed based on the concept of Sasang constitution and cold-heat pattern identification. Yangseng interventions were recommended based on Mibyeong symptoms, Korean medicine types, and demographic information. And we have developed tracking and ranking functions for user motivations. We used a Korean medicine database that focused on healthy people as a reference data, and used Yangseng interventions database that reinterpreted classical Yangseng in a modern way. Results and Conclusions We have developed a mobile application that evaluates the user's Mibyeong state and provides optimal Yangseng interventions based on Korean medicine types. This study are expected to improve the quality of health and contribute to the prevention of diseases.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.21 no.6
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• pp.211-224
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• 2022

In this study, factors affecting the efficacy of EV charging infrastructure improvement were investigated for EV users on Jeju Island. This study analyzed satisfaction with the EV charging infrastructure and demographic factors that affect the efficacy of EV charging infrastructure improvement. Factors found to affect the efficacy of EV charging infrastructure improvement include a sufficient number of charger installations, the speed in using EV chargers, the ease of obtaining additional information about charging, and fast customer service for faulty chargers. It was also confirmed that demographic factors such as user's housing types had a significant effect. This study contributes to verifying user satisfaction with the construction of EV charging infrastructure throughout Jeju Island.

• Management Science and Financial Engineering
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• v.11 no.3
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• pp.137-153
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• 2005

Collaborative filtering-based recommendation systems make personalized recommendations based on users' ratings on products. Recommender systems must collect sufficient rating information from users to provide relevant recommendations because less user rating information results in poorer performance of recommender systems. To learn about new users, recommendation systems must first present users with an initial item list. In this study, we designed and analyzed seven selection strategies including the popularity, favorite, clustering, genre, and entropy methods. We investigated how these strategies performed using MovieLens, a public dataset. While the favorite and popularity methods tended to produce the highest average score and greatest average number of ratings, respectively, a hybrid of both favorite and popularity methods or a hybrid of demographic, favorite, and popularity methods also performed within acceptable ranges for both rating scores and numbers of ratings.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.6 no.9
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• pp.267-276
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• 2016

There has been active discussions on informational view among various privacy perspectives because of Internet usage. Social science research has largely discussed determinants of information privacy concerns (IPC) and its behavioral outcomes. However, the focus of studies was limited to company's practices and existing studies have not reported consistent results. In addition, the relationship between demographic characteristics of user and IPC has not been discussed enough. In this study, we re-investigate the relationship between users' demographic characteristics and IPC with data from a large sample provided by the Korea Information Society Development Institute (KISDI). The results showed that educational background and income level have effects on IPC in line with existing studies. But the effects of gender and age had different impact on IPC compared to previous studies. This study has implications in enabling generalization of empirical findings and confirming the results of previous studies.

• Journal of the Korean Society for information Management
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• v.36 no.2
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• pp.31-56
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• 2019

The user satisfaction and needs of an academic library were caught through a questionnaire survey in this study. The aim of this study is to draw up the CRM based plan for meeting user needs on the study. The users' demographic information, library resources & their use, homepage, services, and facilities/environment of the library were categorized in the questionnaire and analyzed for this study. The major conclusions of this study are: (1) The library resources use was the highest, and its facilities/environment was the lowest in the user satisfaction study. It also revealed that there are much necessities for the quick acquisition and dissemination of the requested material to the library users, and for the inter-library loan (ILL) services among campuses for the subscription books in the library resources use study, too; (2) There are a lot of necessities for the improvement of OPAC retrieval and the subscription books system, and menu rearrangement in the library homepage; (3) There are a lot of necessities for the plans of more frequent library event, more detailed event guidance, and more reinforcement of public relations such as SMS, push services of SDI etc. in the library user services; and (4) There are a lot of necessities for the improved policies to the complaints of library users such as the lack of common study place and lockers, air conditioning and heating problem, complaints about facilities management of restroom (lack of toilet paper), library accessibility on campus, unauthorized user management etc. in the facilities/environment of the library.

• The Journal of Bigdata
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• v.1 no.1
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• pp.61-66
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• 2016

With big data analysis, companies use the customized marketing strategy based on customer's information. However, because of the concerns about privacy issue and identity theft, people start erasing their personal information or changing the privacy settings on social network site. Facebook, the most used social networking site, has the feature called 'Likes' which can be used as a tool to predict user's demographic profiles, such as sex and age range. To make accurate analysis model for the study, 'Likes' data has been processed by using Gaussian RBF and nFactors for dimensionality reduction. With random Forest and 5-fold cross-validation, the result shows that sex has 75% and age has 97.85% accuracy rate. From this study, we expect to provide an useful guideline for companies and marketers who are suffering to collect customers' data.

• Journal of the Korean Society for Library and Information Science
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• v.48 no.2
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• pp.307-329
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• 2014

The purpose of this study is to explain the benefits of public libraries in Korea. While many studies had focused on measuring the economic value, this study sought to investigate how do user benefits from public library service and how are these benefits associated with major demographic factors. The questionnaire was developed by two question formats, which is open-ended and 5 Likert scale on 'enjoyment indicators' in earlier studies. Total 313 responses data were collected in S public library in Seoul. As a result, respondents most frequently perceived benefits from library services is reading, saving the money and relaxation. Also, user's benefits level had measured based on the 'enjoyment indicators'. According to the analysis, respondents perceived benefits from library for reading (4.31) and saving the money (4.14). The results show the public libraries' benefits differ in age and careers in 'family relations', 'reading of children', 'cultural life', 'career improvement', and 'saving the money'.

• Journal of the Korean Society for Library and Information Science
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• v.54 no.1
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• pp.223-242
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• 2020

Innovation in university library spaces is challenging to effectively support the education of the university's future learning and innovation capabilities, including creativity, critical thinking, communication and collaboration. The purpose of this study is to investigate the perception and need of library space from the perspective of users and librarians, and to suggest the direction of space innovation through this. For this study, we designed each questionnaire for users and librarians, and collected responses from 363 users and 186 librarians in the university library to analyze their needs and perceptions about their library space. The librarian's need for the space was analyzed by the size of the library and the demographic factors of the librarian. The user's need was analyzed by the user's attributes. In addition, we analyzed the differences between librarians and users for the need for space and space services. The results of this paper may be useful for reference when planning a new library or building a space based on user.

• The Journal of Information Systems
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• v.32 no.3
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• pp.85-116
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• 2023

Purpose The importance of data as a key resource of the intelligence revolution is being highlighted, among all those phenomena MyData is attracting attention as a key concept by organizations and individuals that eventually leads the data economy. In this regard, this study was started to contribute to the successful settlement and continuous growth of the domestic MyData industry, which has just entered the system. Design/methodology/approach To develop and test all proposed casual relationships within the research model, we used the Value-Attitude-Behavior(VAB) model as a basic framework. A total of 385 copies were used for the final analysis, and for SPSS 25.0, MS-Excel 2016, and AMOS 24.0 to summarize respondent demographic characteristics, measurement model, and structural model. Findings Findings show that all proposed hypotheses were supported with the exception of the moderating effect of organizational information transparency between data controllability and perceived value, and between data controllability and attitude toward MyData service.

• Journal of the Korea Safety Management & Science
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• v.17 no.1
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• pp.301-308
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• 2015

To invigorate and develop marketing strategies in public performance, this thesis reviewed the literatures such as papers, academic materials and internet information on marketing in public performance. We performed surveys for specialists and non-specialists of public performance from on-line or off-line for questionnaire which is classified as demographic characteristics, tendency for seeing public performance and for knowledge of NFC and LBS, and analyzed the questionnaires for knowing the effects of NFC and LBS marketing in public performance. This thesis revealed generally a higher level of satisfaction with NFC than LBS, especially for specialists as compared with non-specilists. The reason of a lower level of satisfaction with LBS than NFC is that LBS technique has privacy problem about personal information by exposing the user location information. The reason of a lower level of satisfaction with NFC to non-specialists is that there are insufficiency of promotion for NFC technique and contents utilizing NFC. A total average score for a level of satisfaction of NFC and LBS service was revealed high as more than 3.50 out of 5.00. Through this thesis we suggest the public performance marketing strategies.