• Journal of the Korean Society for information Management
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• v.39 no.2
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• pp.275-298
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• 2022

This study examined the issues and characteristics that appeared in news and journal articles related to the 'right to be forgotten' using text mining analysis. Data for analysis were collected from 2010 to 2020 with the keyword 'right to be forgotten'. Keyword analysis and topic modeling analysis were performed on the collected data. As a result, in the last 10 years the issues about 'right to be forgotten' are not much different in news and journal articles and the approaches also are similar. However, it confirmed common issues and the partial difference between news and journal articles through comparison. Therefore in Archives and Records Management Studies, it is necessary to discuss derived in this study. In particular common issues are considered first but if there are differences in issues, it is needed to discuss them in various ways. This study is meaningful to understand the meaning and to draw issues that may arise in the future of the 'right to be forgotten'. The results of this study will contribute to be variously discussed on the 'right to be forgotten' in Archives and Records Management Studies.

• Research in Community and Public Health Nursing
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• v.30 no.4
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• pp.391-399
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• 2019

Purpose: Recent advances in computer and mobile technologies have brought increasing usages of IT technology in nursing research across nursing fields. Despite the increasing usages, there has been little discussion on methodological issues involved in nursing research using IT technology. This is a discussion paper to identify methodological issues in IT technology-based nursing research. Methods: An analysis was done using content analysis on research team meeting minutes and research team members' research diaries in a clinical trial that tested the efficacy of a technology-based intervention. First, several major categories of IT technology-based nursing research are concisely summarized. Then, the method that was used for this analysis is presented. Results: The findings are presented as themes reflecting methodological issues in IT technology-based research: (a) difficulties in recruitment due to necessary technology literacy; (b) facilitating recruitment through allowing the use of multiple languages; (c) participants' preferences for specific IT technology; (d) efforts needed to ensure technological security; (e) participants' preferences for design; and (f) necessary considerations on timing. Conclusion: Finally, future directions for nursing research using IT technology are proposed based on the identified issues.

• Nuclear Engineering and Technology
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• v.51 no.5
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• pp.1297-1306
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• 2019

Probabilistic safety assessments (PSA) have been used for several decades to visualize the risk level of commercial nuclear power plants (NPPs). Since the role of a human reliability analysis (HRA) is to provide human error probabilities for safety critical tasks to support PSA, PSA quality is strongly affected by HRA quality. Therefore, it is important to understand the underlying limitations or problems of HRA techniques. For this reason, this study conducted a survey among 14 subject matter experts who represent the HRA community of domestic Korean NPPs. As a result, five significant HRA issues were identified: (1) providing a technical basis for the K-HRA (Korean HRA) method, and developing dedicated HRA methods applicable to (2) diverse external events to support Level 1 PSA, (3) digital environments, (4) mobile equipment, and (5) severe accident management guideline tasks to support Level 2 PSA. In addition, an HRA method to support multi-unit PSA was emphasized because it plays an important role in the evaluation of site risk, which is one of the hottest current issues. It is believed that creating such a catalog of prioritized issues will be a good indication of research direction to improve HRA and therefore PSA quality.

• International Journal of Knowledge Content Development & Technology
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• v.13 no.1
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• pp.111-130
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• 2023

There are the national science and technology standard classification system used in Korea, the classification according to the standard classification system for educational organization units, and the Korean standard education classification by the National Statistical Office. It is not suitable for calculation or evaluation, and classification is still mixed depending on the purpose of use. Therefore, in this study, the current status of academic standard classification, issues related to the standard classification system such as research foundation associations and research institutes, and issues related to the academic standard classification through the analysis of existing prior research issues, etc. As a result of the research, first, it is necessary to maintain and strengthen the linkage of the academic classification system, such as maintaining the linkage between the relevant departmental classification systems and strengthening the linkage with the relevant classification system, as a result of analysis of major issues in the academic standard classification system, and the systematic improvement cycle of the revision process and management system and settings are required.

• Journal of Intelligence and Information Systems
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• v.21 no.1
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• pp.65-82
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• 2015

Recently, there has been a surge of interest in finding core issues and analyzing emerging trends for the future. This represents efforts to devise national strategies and policies based on the selection of promising areas that can create economic and social added value. The existing studies, including those dedicated to the discovery of future promising fields, have mostly been dependent on qualitative research methods such as literature review and expert judgement. Deriving results from large amounts of information under this approach is both costly and time consuming. Efforts have been made to make up for the weaknesses of the conventional qualitative analysis approach designed to select key promising areas through discovery of future core issues and emerging trend analysis in various areas of academic research. There needs to be a paradigm shift in toward implementing qualitative research methods along with quantitative research methods like text mining in a mutually complementary manner. The change is to ensure objective and practical emerging trend analysis results based on large amounts of data. However, even such studies have had shortcoming related to their dependence on simple keywords for analysis, which makes it difficult to derive meaning from data. Besides, no study has been carried out so far to develop core issues and analyze emerging trends in special domains like the aviation industry. The change used to implement recent studies is being witnessed in various areas such as the steel industry, the information and communications technology industry, the construction industry in architectural engineering and so on. This study focused on retrieving aviation-related core issues and emerging trends from overall research papers pertaining to aviation through text mining, which is one of the big data analysis techniques. In this manner, the promising future areas for the air transport industry are selected based on objective data from aviation-related research papers. In order to compensate for the difficulties in grasping the meaning of single words in emerging trend analysis at keyword levels, this study will adopt topic analysis, which is a technique used to find out general themes latent in text document sets. The analysis will lead to the extraction of topics, which represent keyword sets, thereby discovering core issues and conducting emerging trend analysis. Based on the issues, it identified aviation-related research trends and selected the promising areas for the future. Research on core issue retrieval and emerging trend analysis for the aviation industry based on big data analysis is still in its incipient stages. So, the analysis targets for this study are restricted to data from aviation-related research papers. However, it has significance in that it prepared a quantitative analysis model for continuously monitoring the derived core issues and presenting directions regarding the areas with good prospects for the future. In the future, the scope is slated to expand to cover relevant domestic or international news articles and bidding information as well, thus increasing the reliability of analysis results. On the basis of the topic analysis results, core issues for the aviation industry will be determined. Then, emerging trend analysis for the issues will be implemented by year in order to identify the changes they undergo in time series. Through these procedures, this study aims to prepare a system for developing key promising areas for the future aviation industry as well as for ensuring rapid response. Additionally, the promising areas selected based on the aforementioned results and the analysis of pertinent policy research reports will be compared with the areas in which the actual government investments are made. The results from this comparative analysis are expected to make useful reference materials for future policy development and budget establishment.

• Journal of Korean Society for Quality Management
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• v.47 no.2
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• pp.327-344
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• 2019

Purpose: This study aims to conduct a systematic literature review to suitably identify wide and specific issues and topics on service quality in supply chain. Methods: This study is to investigate service quality in supply chain research using a systematic literature review methodology. In order to extract influential journals and papers, we used the SJR impact factor provided by the SCOPUS database. The collected 169 papers were analyzed using bibliometric analysis, citation analysis as well as keywords network. Results: We conducted a bibliometric analysis to identify top authors contributing to service quality in supply chain and their issues, and further examined important keywords and new emerging keywords. In addition, we extracted five influential papers by PageRank to clarify critical issues and divided into five clusters to identify topics of service quality in supply chain by using network-based approach. In order to examine comprehensive issues and topics of service quality in supply chain, we constructed a keyword network to observe difference in the classification of important keywords across network centrality measures. Conclusion: Our study reviewed literature on service quality in supply chain and explored the future directions and trends of service quality in supply chain.

• Journal of Korean Society for Quality Management
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• v.47 no.2
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• pp.381-395
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• 2019

Purpose: This study aims to conduct a systematic literature review to suitably identify wide and specific issues and topics on service quality in supply chain. Methods: This study is to investigate service quality in supply chain research using a systematic literature review methodology. In order to extract influential journals and papers, we used the SJR impact factor provided by the SCOPUS database. The collected 169 papers were analyzed using bibliometric analysis, citation analysis as well as keywords network. Results: We conducted a bibliometric analysis to identify top authors contributing to service quality in supply chain and their issues, and further examined important keywords and new emerging keywords. In addition, we extracted five influential papers by PageRank to clarify critical issues and divided into five clusters to identify topics of service quality in supply chain by using network-based approach. In order to examine comprehensive issues and topics of service quality in supply chain, we constructed a keyword network to observe difference in the classification of important keywords across network centrality measures. Conclusion: Our study reviewed literature on service quality in supply chain and explored the future directions and trends of service quality in supply chain.

• Journal of the Korean Institute of Landscape Architecture
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• v.31 no.3
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• pp.17-33
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• 2003

This study focuses on design method of the memorial park for the improvement of the funeral culture in Korea. Through the comparative analysis between domestic and overseas cases, this study articulates the issues that should be taken into consideration in the design of memorial park and categorizes such issues in accordance with their types. According to comparative analysis, the characteristics of domestic and overseas cases can be summed up as follows. Most of the overseas cases can be characterized with creative concepts and images in their designs because designs are not only based on the issues articulated in this study but also show a various patterns issue by issue. On the other hand, domestic cases do not show differentiated images from others, which results from the uniform design that disregards the issues articulated in this study. The memorial park for the future should be designed to play a significant role of citizens´ park under the new conceptual framework. Therefore, the issues articulated from this study should be reflected in the design of memorial park. In addition, various types by issue should be introduced to design of memorial park. The purpose of this study is to suggest basic criteria for the design of future pattern, not simply to compare the strength and weakness of different types. This study has a limitation in that it does not offer comprehensive information of what types of memorial park will coincide with the Korean's collective sentiment. Therefore, impending tasks of further researches should involve the opinion and preferences of citizens concerning the design of memorial park.

• Journal of Korean Society for Quality Management
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• v.41 no.4
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• pp.567-580
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• 2013

Purpose: This study aims to develop measuring tools for 'Consumer Issues' of ISO 26000, the international standards for corporate social responsibility(CSR), and propose strategic suggestions on the CSR implemention by analyzing the differences among various industries. Methods: In order to test the research models, structured questionnaires were used and nationwide surveys were conducted targeting at customers who have had experiences in using the products and services from the companies which published CSR reports. In addition, for the empirical analysis of data, the models were verified with AMOS confirmatory factor analysis(CFA). Results: From the result of the analysis of differences among industries, it was shown that level of CSR activities was high in public sectors, followed by service industries and manufacturing. It was also shown high in air transport and the electrical and electronic industries, while it was confirmed low in energy and environment related industries such as energy, automobile and chemical industries. As a result, strategic approaches are suggested, considering the different characteristics of each industry in implementing CSR. Conclusion: This study has developed measuring tools for 'Consumer Issues' to research the core subjects and issues of ISO 26000, the international standards for CSR. It has confirmed the characteristics and differences regarding 'Consumer Issues' among industries and proved that industries can provide guidelines for the implementation of CSR activities through approaching and researching various issues from interested parties. This study has also suggested the importance of customer awareness of CSR activities and active communications by industries.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.24 no.4
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• pp.53-73
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• 2013

This study revisits issues for Big data. Three research questions, understanding the concept of Big data, important issues of Big data research and utilization methods for library information services, are explored by the literature and practice reviews. Study results revealed several important issues of Big data including the concept in the context of real world situation, the problems with the accuracy and reliability of the data, privacy and ethical issues, and issues of intellectual property rights. With understanding these issues, a few utilization methods were introduced for Library and Information services. It was included using its analysis for developing vision, adopting Library management, supporting community services, and providing customized information services for various users. The study concluded Big data analysis would effectively provide valid evidences for all those services.