• Culinary science and hospitality research
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• v.23 no.7
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• pp.1-10
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• 2017

This study proposed SNS big data analysis method of food service industry in the 4th industrial revolution. This study analyzed the keyword of the fourth industrial revolution by using Google trend. Based on the data posted on the SNS from January 1, 2016 to September 5, 2017 (1 year and 8 months) utilizing the "Social Metrics". Through the social insights, the related words related to cooking were analyzed and visualized about attributes, products, hobbies and leisure. As a result of the analysis, keywords were found such as cooking, entrepreneurship, franchise, restaurant, job search, Twitter, family, friends, menu, reaction, video, etc. As a theoretical implication of this study, we proposed how to utilize big data produced from various online materials for research on restaurant business, interpret atypical data as meaningful data and suggest the basic direction of field application. In order to utilize positioning of customers of restaurant companies in the future, this study suggests more detailed and in-depth consumer sentiment as a basic resource for marketing data development through various menu development and customers' perception change. In addition, this study provides marketing implications for the foodservice industry and how to use big data for the cooking industry in preparation for the fourth industrial revolution.

• Korean Journal of Construction Engineering and Management
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• v.13 no.5
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• pp.125-134
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• 2012

In the construction industry, "Green" is emerging as a keyword of new growth engine. Since green construction competitiveness is essential for contractors' survival and growth, it is important to understand what constitutes green construction competitiveness. The objective of the study is to identify elements of green construction competitiveness and to discuss relationships between their importance and current level based on the Gap analysis. A better understanding of the elements of green construction competitiveness assists contractors in formulating green strategies. It also provides insight into what motivates contractors in establishing related policies and regulations. The study identifies that in general there exists a gap between the importance and current level of green construction competitiveness. It also demonstrates that CEO' competence shows a less gap between the importance and current level but firms' competence is an area of weakness. Finally a substantial gap is observed in the field of green R&D strategies and sub-contracting partners.

• Journal of Society of Preventive Korean Medicine
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• v.18 no.1
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• pp.113-123
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• 2014

Objective : This study is aimed to analyze the recent research trend of Sipjeondabo-tang (SJDBT) in Korea. Method : We searched Korean research database by using keyword 'Sipjeondabo-tang'. Databases are Korean Medicine Information System, Research Information Service System and Korean Studies Information Service System. We analyzed studies by research method, publication year, type of journal and subject of the study. Results : By analyzing studies published after 1990, we could find that experimental studies were primarily conducted in SJDBT study. During recent 10 years, the number of toxicity studies and components analysis studies is increasing. Among the SJDBT studies, the number of clinical study was only 1. Conclusion : We explored the recent research trend of SJDBT in Korea. As a result, We suggested three further research ways of SJDBT. Proposed research ways are exploring various effect of SJDBT, observing whether there is a difference of effect according to extracting and drying method, and conducting clinical research of SJDBT.

• Journal of Korean Library and Information Science Society
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• v.50 no.2
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• pp.1-23
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• 2019

Based on the analysis of the appellation from a historical perspective and the diversity of the notation Dokdo island, this study was conducted to analyze the characteristics of cataloging records related to Dokdo in 54 national libraries of the each country. The results are as follows. To begin with, while most of the Dokdo-related records are concentrated in some specific national libraries such as the United States, Australia, and the United Kingdom, there are five libraries that do not have one. Second, the title keyword of Dokdo-related records was 76.1% for 'Dokdo', 17.6% for 'Takeshima', 0.4% for 'Liancourt Rock', and 5.9% for these terms shown together in the national libraries of each country. Third, the subject heading of Dokdo-related records was 54.9% for 'Tok Island (Korea)' or 'Dokdo', 11.2% for 'Takeshima (Japan)' or 'Takeshima', less than 1% for 'Liancourt Rock' and 'Dokdo/Takeshima' each, and 33% for general subject heading or blank.

• Journal of Convergence for Information Technology
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• v.9 no.3
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• pp.146-151
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• 2019

This study performed to identify the relationship between job stress and self-efficacy based on the related research review and text network analysis. For the literature review, we performed the search process at three domestic and one foreign database using key words, 'nurse', 'stress', 'self-efficacy'. A total of 18 papers were selected as the target literature. Nine of these studies reported a statistically significant negative correlation between nurses' job stress and self-efficacy. It was difficult to compare between studies' results because of the optional usage of the questionnaires. In addition, a text network analysis was conducted by extracting keywords from the 18 papers. The keyword with the highest frequency of appearance was job stress, and the main words with high frequency of emergence were self-efficacy, hospital, and correlation. To clarify the relationship between the keywords, it is proposed to perform a survey on the influence factors through the development of Korean version measurement.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.1
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• pp.1-7
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• 2021

Investor mood from social media is gaining increasing attention for leading a price movement in stock market. Based on the behavioral finance theory, this study argues that sentiment extracted from social media using big data technique can predict a real-time (short-run) price momentum in Chinese stock market. Collecting Sina Weibo posts that related to COVID-19 using keyword method, a daily influential weighted sentiment factors is extracted from the sizable raw data of over 2 millions of posts. We examine one supervised and 4 unsupervised sentiment analysis model, and use the best performed word-frequency and BiLSTM mdoel. The test result shows a similar movement between stock price change and sentiment factor. It indicates that public mood extracted from social media can in some extent represent the investors' sentiment and make a difference in stock market fluctuation when people are concentrating on a special events that can cause effect on the stock market.

• Journal of Korean Library and Information Science Society
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• v.52 no.1
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• pp.55-77
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• 2021

Based on the analysis of historical backgrounds and terms of Taekwondo, this study was conducted to analyze the characteristics of cataloging records related to Taekwondo in 53 national libraries of each country. The results are as follows. To begin with, while most of the Taekwondo-related records are concentrated in some specific national libraries such as the United States, Germany, Republic of China, United Kingdom, and Spain, there are four libraries that do not have one. Second, the title keyword of Taekwondo-related records was 93.5% for the term that directly meant Taekwondo and 6.5% for Korean martial art, Korean art of self-defense, and Korean karate etc. The frequency of materials by language is 38.7% for English and 8~9% for German, Spanish, Chinese, and Korean, respectively. The Roman translation for Taekwondo is 50.3% for 'Taekwondo', and 18.5% for 'Tae kwon do'. Third, the subject heading of Taekwondo-related records was 86.9% for 'Tae kwon do' or 'Taekwondo' etc. 7.6% for 'karate', 5.7% for general subject heading, and 12.0% for blank. This means that some national libraries misunderstand Taekwondo as karate.

• The Journal of the Korea Contents Association
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• v.21 no.8
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• pp.662-674
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• 2021

Metabolic syndrome is closely associated with cardiovascular disease, there is increasing attentions in prevention of metabolic syndrome through prediction. The aim of this study was to systematically review the literature by collecting, analyzing, and synthesizing articles of predicting metabolic syndrome in Koreans. For systemic review, data search was conducted on Global journals Pubmed, WoS and domestic journals DBPia, KISS published in 2011-2020 year. Three keyword 'Metabolic syndrome', 'predict', and 'korea' were used for searching under AND condition. Total 560 articles were searched and the final 22 articles were selected according to the data selection criteria. The most useful variable was WHtR(AUC=0.897), most frequently used analysis method was logistic regression(63.6%), and most accurate analysis method was XGBOOST(AUC=0.879) for predicting metabolic syndrome. Prediction accuracy was slightly improved when sasang constitution types was used. Based on the results of this study, it is believed that various large-scale longitudinal studies for the prediction and management of the Metabolic syndrome in Korean should be followed in the future.

• The Journal of the Korea Contents Association
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• v.21 no.11
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• pp.64-76
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• 2021

Culture technology (CT) becomes important in the recent environment where digital technology drives content-based innovations. However, technological trends of CT have not been systematically discussed. Especially, the trends of CT should be analyzed from the national perspective, because CT has grown with the help of government-driven innovation. Therefore, this paper aims to analyze CT trends focusing on national research projects. We collected data on CT from the national science and technology information service (NTIS) database, analyzed the keyword co-occurrence network, and identified the patterns of technological innovation using a clustering analysis. As a result, we found that CT has contributed to the digital content and cultural media, and has been actively developed with the help of machine learning technique. Especially, due to the rise of Covid-19, the non-face-to-face online content is rapidly increasing. This study provides important clues for understanding, analyzing CT trends.

• Journal of The Korean Society of Integrative Medicine
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• v.11 no.3
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• pp.171-183
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• 2023

Purpose : This study sought to investigate research trends regarding joint mobilization type among patients with shoulder joint diseases. Methods : A scoping review was conducted according to the five steps outlined by Arskey and O'Malley and PRISMA-ScR. We searched six domestic databases (ScienceOn, DBpia, Riss, Kmbase, Kiss, KCI) and three international databases (CINAHL, Pubmed, Cochrane central) between 2013 and June 2023. The keyword terms used were 'joint mobilization', 'Kaltenborn', 'Maitland', 'Mulligan', and 'shoulder joint'. Results : There were a total of 44 studies that investigated the topic, and these were divided into quantitative analysis and topic analysis. In terms of publication year, the number of studies within the last five years has increased more than compared to the previous five years, with most of them being randomized clinical trials. In shoulder joint diseases, it was found that the majority of joint movement studies focused on adhesive joint cystitis and shoulder collision syndrome. The Mulligan concept was the most commonly studied type of joint motion. The dependent variables used included pain, joint function (disability), and muscle function. The visual analog scale was the most commonly used for the pain variable, followed by the numeric rating scale. For joint function and disability variables, range of motion was the most commonly used, followed by shoulder pain and disability index, and disabilities of the arm, shoulder, and hand. For muscle function, variables such as muscle tone, strength, and activity were used. Conclusion : We believe that findings of this scoping review can serve as valuable mapping data for joint mobilization research on shoulder joint diseases. Further studies including systematic reviews and meta-analyses based on these results are recommended.