• Journal of Hospice and Palliative Care
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• v.27 no.1
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• pp.21-30
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• 2024

Purpose: The purpose of this systematic review is to explore end-of-life (EOL) care planning and the impact of socioeconomic status (SES) among people who identify as Black or African American. Methods: The Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) were used to guide and inform this systematic review process. The following academic electronic databases with publications that reflected the interdisciplinary fields related to the research objective were searched: APA PsycINFO, CINHAL, PubMed, Scopus, and Social Work Abstracts. Results: After the authors conducted the search, 14 articles (from 13 studies) ultimately met the criteria for inclusion. The results substantiated significant concerns highlighted in previous literature regarding SES and its relation to EOL planning, but also revealed an absence of original work and interventions to increase engagement in EOL planning among Black and African American populations. Conclusion: Black individuals deserve an equitable EOL experience. Researchers, practitioners, and policymakers need to move towards advocacy and action to meet this important need.

• STI Policy Review
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• v.7 no.1
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• pp.1-16
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• 2016

Technology supply has been the main thrust of the Korean government's science & technology policy, focusing on the development and acquisition of new technology in line with the catching-up strategy of economic growth and industrial development. However, new social or societal problems have become major government policy issues, heralding new innovation policy aimed to address them. Such new policy initiatives for social problem-solving present a niche where the existing system of government innovation policy process is challenged, including such processes as goal-setting, planning, implementation, project management, and evaluation. The rigidity of the existing institution of government innovation policy, however, still shapes the content and progression of innovation policy for social problem-solving. This study reviews Korean innovation policy for social problem-solving as a policy niche, and aims to clarify its challenges and opportunities. It uses a system transition framework to explain the emergence and evolution of the innovation policy niche in Korea. The main research question is to what extent and in what aspect the existing innovation policy regime shaped innovation policy for social problem-solving. The study examines the inertia of the current paradigm of innovation policies and R&D programs, and sheds light on the search for a distinctive identity for innovation policies that tackles social problems.

• Korean Medical Education Review
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• v.10 no.1
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• pp.19-33
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• 2008

Purpose: This study is purposed to analyze the curriculum on medical humanity and social science in foreign medical schools. The Main topics are classified into three parts: the characteristics of American medical humanity and social science curriculum: understanding of medical humanity and social science in medical school in USA, UK, and Australia: standard recommendations on medical ethics and professionalism in curriculum design. Methods: The literature reviews and on-line searching were conducted to collect the information and data on medical humanity and social science in foreign medical schools, 9 medical schools were selected in terms of reputations in USA, UK, and Australia. Results: First, American medical humanity and social science curriculum have changed, especially from cores to electives, from informal to formal and from subjects to interdisciplinary. In addition. teaching methods have changed into small-group discussion and teaching materials into various sources, such as essays, poetry, films and so forth. Second, most medical schools had their own unique curriculum adjusted to their academic traditions. Especially, curriculum of UK and Australia were more integrated than those of USA. Finally, it is recommended that standards of medical ethics and professionalism have to be considered in curriculum design. Conclusion: It is suggested that medical humanity and social science curriculum be designed closely connecting with clinical medicine.

• Journal of Intelligence and Information Systems
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• v.25 no.1
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• pp.21-41
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• 2019

Thanks to the rapid development of information technologies, the data available on Internet have grown rapidly. In this era of big data, many studies have attempted to offer insights and express the effects of data analysis. In the tourism and hospitality industry, many firms and studies in the era of big data have paid attention to online reviews on social media because of their large influence over customers. As tourism is an information-intensive industry, the effect of these information networks on social media platforms is more remarkable compared to any other types of media. However, there are some limitations to the improvements in service quality that can be made based on opinions on social media platforms. Users on social media platforms represent their opinions as text, images, and so on. Raw data sets from these reviews are unstructured. Moreover, these data sets are too big to extract new information and hidden knowledge by human competences. To use them for business intelligence and analytics applications, proper big data techniques like Natural Language Processing and data mining techniques are needed. This study suggests an analytical approach to directly yield insights from these reviews to improve the service quality of hotels. Our proposed approach consists of topic mining to extract topics contained in the reviews and the decision tree modeling to explain the relationship between topics and ratings. Topic mining refers to a method for finding a group of words from a collection of documents that represents a document. Among several topic mining methods, we adopted the Latent Dirichlet Allocation algorithm, which is considered as the most universal algorithm. However, LDA is not enough to find insights that can improve service quality because it cannot find the relationship between topics and ratings. To overcome this limitation, we also use the Classification and Regression Tree method, which is a kind of decision tree technique. Through the CART method, we can find what topics are related to positive or negative ratings of a hotel and visualize the results. Therefore, this study aims to investigate the representation of an analytical approach for the improvement of hotel service quality from unstructured review data sets. Through experiments for four hotels in Hong Kong, we can find the strengths and weaknesses of services for each hotel and suggest improvements to aid in customer satisfaction. Especially from positive reviews, we find what these hotels should maintain for service quality. For example, compared with the other hotels, a hotel has a good location and room condition which are extracted from positive reviews for it. In contrast, we also find what they should modify in their services from negative reviews. For example, a hotel should improve room condition related to soundproof. These results mean that our approach is useful in finding some insights for the service quality of hotels. That is, from the enormous size of review data, our approach can provide practical suggestions for hotel managers to improve their service quality. In the past, studies for improving service quality relied on surveys or interviews of customers. However, these methods are often costly and time consuming and the results may be biased by biased sampling or untrustworthy answers. The proposed approach directly obtains honest feedback from customers' online reviews and draws some insights through a type of big data analysis. So it will be a more useful tool to overcome the limitations of surveys or interviews. Moreover, our approach easily obtains the service quality information of other hotels or services in the tourism industry because it needs only open online reviews and ratings as input data. Furthermore, the performance of our approach will be better if other structured and unstructured data sources are added.

• 한국사회정책
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• v.23 no.1
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• pp.61-93
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• 2016

This research aims to analyze the role of social care services after the unification, assuming that the unification would occur in 2020 in a peaceful manner. While much has been discussed about the unification in recent years inside or outside academia, most of discussion tends to focus on political and economic dimensions. Also, social policy studies on North Korean defectors have increased, but few pay attention to social policy strategies after the possible unification. In this context, this study explores various explicit and implicit roles of social care services and possible strategies after the unification. As research methodology, it employs one of the scenario methods, 'TAIDA', for projecting and simulating uncertain future. In so doing, first, it reviews South and North Korean socio-economic experiences during last two decades as feedback and German unification experiences as feedforward. In addition, it utilizes a expert survey. Based on the reviews together with the survey result, it discusses various influences of social care services after the unification and draws policy implications. This research aruges that social care services could have profound effects on the stability of socio-economic conditions after the unification.

• Journal of Korean Medicine Rehabilitation
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• v.23 no.2
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• pp.117-128
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• 2013

Objectives : The purpose of this study is to explore the trends of Korean medical study on stress in the industrial worker. Methods : We received numbers of the studies about stress in the industrial worker from 6 Korean web databases, using key words such as 'Industry AND Stress', 'Oriental medicine AND Stress', 'Worker AND Stress', 'Workplace AND Stress'. We received 12 research papers and they were analyzed and the journals, the authors, the contents of 3 classification of those research papers. Results : Among them, we had 6 reviews of Dept. of preventive medicine and Dept. of third medicine, college of Korean Medicine, Won-kwang University, and the rest of them were 6 reviews. We had 4 reviews of Korean Journal of Oriental Preventive Medical Society, 2 reviews of the Journal of Traditional Korean Medicine, 2 reviews of Journal of Oriental Neuropsychiatry and so on. According to the contents of reviews, we had 7 reviews of correlation of industrial worker and stress, 4 reviews of cause on the industrial worker's stress and 1 case report. Conclusions : We reviewed the trends of Korean medical study on stress in the industrial worker. The stress in the industrial workers were related with the type of occupation, social psychology, drinking, smoking, the satisfaction of job, the harmony of organization. And we knew that the musculoskeletal pain was related to the industrial worker's stress. In the future, abundant case studies, follow-up trials and RCTs should be done about the industrial worker's stress.

• Journal of KIISE
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• v.44 no.4
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• pp.339-343
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• 2017

As the number of customers who write fake reviews is increasing, online shopping sites have difficulty in providing reliable reviews. Fake reviews are called review spam, and they are written to promote or defame the product. They directly affect sales volume of the product; therefore, it is important to detect review spam. Review spam detection methods suggested in prior researches were only based on an international site even though review spam is a widespread problem in domestic shopping sites. In this paper, we have presented new review features of the domestic shopping site NAVER, and we have applied the formerly introduced method to this site for performing an evaluation.

• Journal of the Korean Society for information Management
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• v.34 no.3
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• pp.269-290
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• 2017

This study aims to present the framework for promoting active engagement of users in digital archives through social tagging. It analyzed the technological development involved with digital archives, and the user participation and engagement through social media. The analysis explored the aspects of social tagging in terms of communication, sharing and collaboration in digital archives. Based on the analysis and reviews, it developed the model of social tagging for user participation and interaction in digital archives. The study proposed the application of open and game platforms for promoting active engagement of users in digital archives through social tagging.

• International Journal of Computer Science & Network Security
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• v.22 no.3
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• pp.396-404
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• 2022

Online social networks contain a large amount of data that can be converted into valuable and insightful information. Text mining approaches allow exploring large-scale data efficiently. Therefore, this study reviews the recent literature on text mining in online social networks in a way that produces valid and valuable knowledge for further research. The review identifies text mining techniques used in social networking, the data used, tools, and the challenges. Research questions were formulated, then search strategy and selection criteria were defined, followed by the analysis of each paper to extract the data relevant to the research questions. The result shows that the most social media platforms used as a source of the data are Twitter and Facebook. The most common text mining technique were sentiment analysis and topic modeling. Classification and clustering were the most common approaches applied by the studies. The challenges include the need for processing with huge volumes of data, the noise, and the dynamic of the data. The study explores the recent development in text mining approaches in social networking by providing state and general view of work done in this research area.

• The Journal of Industrial Distribution & Business
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• v.13 no.10
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• pp.23-30
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• 2022

Purpose: The advantages of corporate social responsibility (CSR) include stronger recognition and reputation, which lead to a company's good public image, increased customer loyalty, operational cost saving, and employee retention. The purpose of the present research is to take a close look at the association between CSR and organization's value. Research design, data and methodology: The authors tried to obtain the high-quality textual data from mostly peer-reviewed journals using a PRISMA ((Preferred Reporting Items for Systematic Reviews and Meta-Analyses). The authors was to figure out adequate solutions from limited range of the current literature (only peer-reviewed research) regarding CSR and corporate value. Results: Our investigation indicates that CSR is essential to all businesses as it ensures they keep in touch with society, retaining top personnel, and achieving top financial success. Companies and organizations can engage in four corporate social responsibility initiatives to increase value, including environmental projects, charitable work, honest labor practices, and volunteer activity. Conclusions: An organizations should be involved in the community and consider how its actions affect the environment and society. Small or large businesses are expected to lead in developing a progressive CSR program that benefits people and the environment and continuously changes depending on the social and economic environment.