• Journal of the Korean BIBLIA Society for library and Information Science
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• v.27 no.1
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• pp.291-312
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• 2016

The purpose of this study is to develop an effective information service process based on user's characteristics and needs in academic libraries. The process was informed by analysis of the entire information service cycle using real users as an exploratory study. The interview process between the user and information provider, and the information provider's perspectives regarding information services demonstrated that the user's information and subject analysis, effective interview methods, communication skills, information provider's recognition of information services, and core ability are important elements for effective information services.

• Journal of Information Science Theory and Practice
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• v.10 no.1
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• pp.73-88
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• 2022

This exploratory study aims to understand the potential of log data analysis and expand its utilization in user research methods. Transaction log data are records of electronic interactions that have occurred between users and web services, reflecting information-seeking behavior in the context of digital libraries where users interact with the service system during the search for information. Two ways were used to analyze South Korea's National Digital Science Library (NDSL) log data for three days, including 150,000 data: a log pattern analysis, and log context analysis using statistics. First, a pattern-based analysis examined the general paths of usage by logged and unlogged users. The correlation between paths was analyzed through a χ² analysis. The subsequent log context analysis assessed 30 identified users' data using basic statistics and visualized the individual user information-seeking behavior while accessing NDSL. The visualization shows included 30 diverse paths for 30 cases. Log analysis provided insight into general and individual user information-seeking behavior. The results of log analysis can enhance the understanding of user actions. Therefore, it can be utilized as the basic data to improve the design of services and systems in the digital library to meet users' needs.

• The Journal of the Convergence on Culture Technology
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• v.6 no.3
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• pp.437-442
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• 2020

Since the advent of the innovative information technology called the Internet, the dynamism of the information environment has brought about changes in information users' needs and behavior. It is essential to understand information users in this rapidly changing environment, and based on this, it is necessary to effectively build and operate an information service and a system therefor. The purpose of this study is to understand the characteristics according to the segmentation of users of the National Science and Technology Information Service System, and to derive improvements to customized services and content development through research and analysis of content usage. A total of 816 science and technology information service system users participated in online surveys from September to November. Collected data is applied to factor analysis and cluster analysis techniques to subdivide users of science and technology information service systems, to recognize new information technologies and information services, science technology information needs, and science and technology attributes that users consider important. We derived the results according to the segmented user group.

• Fashion, Industry and Education
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• v.15 no.1
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• pp.12-28
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• 2017

In the era of social media, marketers have struggled to understand and serve participants' diverse and multifaceted needs in a novel form of online brand community in the social-networking sites such as Facebook. Thus, this study identifies different groups of participants affiliated with Facebook brand pages based on their needs for brand connection. The need-based segments are validated by comparing results across foodservice and consumer goods. Results of cluster analysis reveal three distinct segments (i.e., residents, lurkers, and peepers) based on participants' functional, experiential, and incentive needs. Results of multivariate analysis of variance illustrate significant differences in relational tendencies for a brand of interest among these three groups. The three groups are profiled based on participants' engagement level. Findings of this study are expected to help marketers better understand the needs of diverse participants in their SNS-embedded brand community so they can develop tailored communication strategies for targeted groups.

• Journal of the Korean Society for information Management
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• v.38 no.2
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• pp.305-336
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• 2021

This study explored the user's information needs and information behavior for the development of academic library services. The content analysis of qualitative data showed that the in-depth interview participants have six types of information needs such as 'suitability, up-to-dateness, uniqueness, reliability, practicality, and convenience' while going through societal, educational, and research-related changes. Interview participants solved their information needs by acquiring the resources necessary for each individual's task through information behaviors using information media, human resources and the places. Each participant tried to solve his/her information problem through individual efforts based on their different media and information utilization capabilities. Based on the analysis, this study presented four directions in the development of academic library services. They are an personalized information literacy service, a space to meet the characteristics of information needs, an infrastructure platform for exchanging human resources, and an accessible support service for utilizing information media.

• Journal of Korean Library and Information Science Society
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• v.49 no.1
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• pp.173-191
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• 2018

Over the past decade, the environment around libraries for the disabled has been greatly improved. Related legislation was established, facilities and facilities expanded, and the number of related collections and programs increased. In order to solve this problem, a survey of users' needs in accordance with the changing environment needs to be completed. In this study, we studied the existing research and analyzed the core needs of each type of disability employing user interviews and expert Delphi research. Users demanded quantitative and qualitative expansion of resources as well. Users needed personalized services and programs, convenience in using facility, accessibility of web and applications, and professional staff.

• Korea Journal of Hospital Management
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• v.25 no.1
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• pp.1-12
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• 2020

Purposes: The aim of this study is to evaluate whether the contents of hospital reservation and reception applications(apps) are qualitatively useful in meeting the needs of medical consumers and improving hospital accessibility and convenience. Methodology: (1) identify consumer needs through social data web mining, (2) describe the status of key contents of mobile apps to improve accessibility and convenience of care, and (3) verify the quality of apps through validated tools Finding: The contents of 'mobile reservation function' and 'waiting time information provision' that can contribute to reduction of delay time of care and efficiency of desk work were supported, but the level of utilization was insufficient. The quality level of the app, including the level of consumers' needs, has shown a wide gap between the apps. Implications: The recent development of mobile apps for hospital accessibility and consumer needs has shown a wide gap in the quality of apps, including information and aesthetic. Therefore, it is necessary to develop apps based on user interface(UI), user experience(UX) based designs that can promote the usefulness and convenience of apps while monitoring needs of consumers continuously.

• Journal of Korea Artificial Intelligence Association
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• v.2 no.1
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• pp.1-6
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• 2024

In this paper, we develop an AI-based recommendation system that matches the specifications of smartphones from company 'S'. The system aims to simplify the complex decision-making process of consumers and guide them to choose the smartphone that best suits their daily needs. The recommendation system analyzes five specifications of smartphones (price, battery capacity, weight, camera quality, capacity) to help users make informed decisions without searching for extensive information. This approach not only saves time but also improves user satisfaction by ensuring that the selected smartphone closely matches the user's lifestyle and needs. The system utilizes unsupervised learning, i.e. clustering (K-MEANS, DBSCAN, Hierarchical Clustering), and provides personalized recommendations by evaluating them with silhouette scores, ensuring accurate and reliable grouping of similar smartphone models. By leveraging advanced data analysis techniques, the system can identify subtle patterns and preferences that might not be immediately apparent to consumers, enhancing the overall user experience. The ultimate goal of this AI recommendation system is to simplify the smartphone selection process, making it more accessible and user-friendly for all consumers. This paper discusses the data collection, preprocessing, development, implementation, and potential impact of the system using Pandas, crawling, scikit-learn, etc., and highlights the benefits of helping consumers explore the various options available and confidently choose the smartphone that best suits their daily lives.

• Journal of Korean Society for Quality Management
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• v.42 no.3
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• pp.339-360
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• 2014

Purpose: The objective of this paper was to analyze the requirements of the end-users by class after carrying out a survey on the user requirements for sleeping bags and utilize the result for effective product development. Methods: The test for difference in means by class was conducted through one sample analysis and one-way ANOVA after the survey result has gone through a reliability verification, and an LSD (Least Significant Difference) test was conducted as a post-mortem method. Results: A significant result was derived from the survey on the user requirements for sleeping bags by method of use, use of combination of sleeping bag components or a sleeping bag alone. Conclusion: The significant result derived from the survey of this paper on the user requirements for sleeping bags can be utilized for effective development of sleeping bags.

• Journal of the Korean Society for information Management
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• v.30 no.1
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• pp.221-236
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• 2013

The purpose of this study is to improve the KESLI consortium by analyzing the status of participant organizations and their needs. A survey questionnaire including questions on consortium selection, management, and evaluation was distributed. The findings from the 179 responses indicate that the needs of the participants include issues related to the collection development policy, the cataloging of e-journals, user education, and evaluation. Therefore, KESLI should provide the following: (1) examples of collection development policy used for reference, (2) system development for e-journal cataloging, (3) materials and program guidelines for user education, and (4) education related to evaluation techniques for e-journal usages.