• East Asian Journal of Business Economics (EAJBE)
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• v.11 no.2
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• pp.59-70
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• 2023

Purpose - The hospitality industry has experienced significant transformations in recent years, primarily driven by advancements in technology and changes in consumer behavior. The worldwide COVID-19 epidemic has intensified a trend of hotel guests increasingly relying on meal delivery applications. Considering the recent COVID-19 pandemic, this study sets out to investigate how hotel guests have been using food delivery apps before and during the outbreak. Research design, data, and methodology - This study utilizes a systematic literature review as its research design. A systematic literature review is a methodical, well-structured procedure for locating, analyzing, and synthesizing pertinent research articles. Result - The findings shed light on four main aspects: convenience and accessibility, safety and hygiene assurance, personalization and customization, and local exploration and cultural immersion. These findings provide valuable insights into the evolving preferences and behaviors of hotel guests in utilizing food delivery apps, particularly in the context of the COVID-19 pandemic. Conclusion - This study has contributed to the understanding of the changing role of food delivery apps among hotel guests. By recognizing the evolving dynamics and leveraging the opportunities presented by food delivery apps, hotels can adapt to meet guest expectations, enhance customer satisfaction, and thrive in the ever-changing landscape of the hospitality industry.

• Journal of The Korea Institute of Healthcare Architecture
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• v.20 no.4
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• pp.27-38
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• 2014

Purpose : The main objective of this paper is, to assess a body of research evidence that articulates the impact of environment-related factors on wayfinding for people with dementia who reside in Long-term care Facilities. The study also aims at identifying design implications that can be incorporated into design process and design decisions to improve wayfinding abilities for people with dementia. Methods : Comprehensive literature review has been conducted to identify empirical studies and carefully investigated peer-reviewed articles published in many different fields including architecture, psychology, nursing to gerontology. Results : The review found a growing body of studies that identified environment-related factors that improve wayfinding of people with Dementia living in long-term care facilities. Implications : The findings of the review can be considered as design guidelines to support the wayfinding abilities of people with dementia living in long-term care Facilities.

• Journal of The Korea Institute of Healthcare Architecture
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• v.21 no.3
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• pp.9-23
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• 2015

Purpose: This paper's main objective is to provide a systematic review of research evidence that articulates the impact of environment-related factors on wandering for people with dementia in the Long-term Care Facilities. Another objective of this study is to identify design implications that can be incorporated into design process and decisions to positively improve wandering abilities for people with dementia. Methods: Comprehensive literature review has been performed to investigate empirical studies and peer-reviewed articles published in many different fields including psychology, architecture, nursing to gerontology. Results: The review found studies that identified environment-related factors, affecting wandering for people with Dementia living in Long-term Care Facilities. Implications: The findings can help us understand wandering behavior and the recommendations in this research can serve as parts of considerations in practice that can help efficiently manage wandering abilities of people with dementia living in Long-term Care Facilities. Further studies with larger samples and various environmental conditions are required to confirm the findings in this study.

• The Journal of the Korea Contents Association
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• v.16 no.1
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• pp.743-752
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• 2016

This study aims to investigate the overall effects of teaching grammar in the Korean EFL classroom. A meta-analysis of 67 research findings in 30 articles was conducted to synthesize the results of these studies by calculating the mean effect sizes. This study reviewed and analyzed the previous studies in terms of subjects, treatment period, and types of grammar teaching. The results showed that teaching grammar in the classroom had beneficial effects on learners in general (d=.907). It was found to be more effective for middle school and university students than for elementary and high school students (Q=37.065, df=3, p=.000). There was no statistically significant difference in terms of treatment period and types of grammar teaching. Pedagogical implications and suggestions for Korean EFL learners are also discussed.

• Women's Health Nursing
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• v.29 no.2
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• pp.128-136
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• 2023

Purpose: Topic modeling is a text mining technique that extracts concepts from textual data and uncovers semantic structures and potential knowledge frameworks within context. This study aimed to identify major keywords and network structures for each major topic to discern research trends in women's health nursing published in the Korean Journal of Women Health Nursing (KJWHN) using text network analysis and topic modeling. Methods: The study targeted papers with English abstracts among 373 articles published in KJWHN from January 2011 to December 2021. Text network analysis and topic modeling were employed, and the analysis consisted of five steps: (1) data collection, (2) word extraction and refinement, (3) extraction of keywords and creation of networks, (4) network centrality analysis and key topic selection, and (5) topic modeling. Results: Six major keywords, each corresponding to a topic, were extracted through topic modeling analysis: "gynecologic neoplasms," "menopausal health," "health behavior," "infertility," "women's health in transition," and "nursing education for women." Conclusion: The latent topics from the target studies primarily focused on the health of women across all age groups. Research related to women's health is evolving with changing times and warrants further progress in the future. Future research on women's health nursing should explore various topics that reflect changes in social trends, and research methods should be diversified accordingly.

• Journal of Information Science Theory and Practice
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• v.9 no.2
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• pp.47-65
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• 2021

This study aims to identify specific topics, trends, and structural characteristics of scholarly communication research, based on 1,435 articles published from 1970 to 2018 in the Scopus database through Latent Dirichlet Allocation topic modeling, serial analysis, and network analysis. Topic modeling, time series analysis, and network analysis were used to analyze specific topics, trends, and structures, respectively. The results were summarized into three sets as follows. First, the specific topics of scholarly communication research were nineteen in number, including research resource management and research data, and their research proportion is even. Second, as a result of the time series analysis, there are three upward trending topics: Topic 6: Open Access Publishing, Topic 7: Green Open Access, Topic 19: Informal Communication, and two downward trending topics: Topic 11: Researcher Network and Topic 12: Electronic Journal. Third, the network analysis results indicated that high mean profile association topics were related to the institution, and topics with high triangle betweenness centrality, such as Topic 14: Research Resource Management, shared the citation context. Also, through cluster analysis using parallel nearest neighbor clustering, six clusters connected with different concepts were identified.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.20 no.1
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• pp.87-100
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• 2009

Since the paradigm of records and archives management has been shifted toward the digital records world, information science, which is related to electronic record information's creation, management, preservation, and usage, has became increasingly significant. In the context, this article studies a research trend of information science in the records and archives management field. For the study, 99 concerned articles from five academic journals published between 2000 and 2008 are analyzed. As a result, the article finds out several research trends in this field, including researchers' preferred research subjects.

• Journal of Science Education
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• v.45 no.3
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• pp.292-303
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• 2021

This study identifies the terms frequently used together with energy in online science news articles and topics of the news reports to find out how the term energy is used in everyday life and to draw implications for science curriculum and instruction about energy. A total of 2,171 online news articles in science category published by 11 major newspaper companies in Korea for one year from March 1, 2018 were selected by using energy as a search term. As a result of natural language processing, a total of 51,224 sentences consisting of 507,901 words were compiled for analysis. Using the R program, term frequency analysis, semantic network analysis, and structural topic modeling were performed. The results show that the terms with exceptionally high frequencies were technology, research, and development, which reflected the characteristics of news articles that report new findings. On the other hand, terms used more than once per two articles were industry-related terms (industry, product, system, production, market) and terms that were sufficiently expected as energy-related terms such as 'electricity' and 'environment.' Meanwhile, 'sun', 'heat', 'temperature', and 'power generation', which are frequently used in energy-related science classes, also appeared as terms belonging to the highest frequency. From a network analysis, two clusters were found including terms related to industry and technology and terms related to basic science and research. From the analysis of terms paired with energy, it was also found that terms related to the use of energy such as 'energy efficiency,' 'energy saving,' and 'energy consumption' were the most frequently used. Out of 16 topics found, four contexts of energy were drawn including 'high-tech industry,' 'industry,' 'basic science,' and 'environment and health.' The results suggest that the introduction of the concept of energy degradation as a starting point for energy classes can be effective. It also shows the need to introduce high-tech industries or the context of environment and health into energy learning.

• Journal of Korea Technology Innovation Society
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• v.15 no.1
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• pp.47-75
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• 2012

Basic research have contributed to technological growth or economic growth in U.S. Specially recent studies say that universities also contribute to economic development through scientific activities like science research, education, technology transfers. But we can not assure whether scientific knowledge was connected to real technology or economic performance, and it is difficult to figure out the effect of scientific output. "What is the exact performance of scientific knowledge?" It is still obscure. In this context, this paper analyzes characteristics of the linkage of science and technology. Data are U.S. R&D expenditure, scientific articles, citation of articles in U.S. patents by fields and sectors. As a result, university sector has the most weight of the linkage of science and technology. But, in relative connection rate analysis, industrial sector's is stronger than any other sectors. In the field analysis, linkage of science and technology is very strong in Chemistry, Physics, Biological sciences fields. And recently the linkage was increased in the fields of Computer science, Agricultural science, Engineering. Finally, this paper supports funding policy or estimation policy of government to product of scientific knowledge. University sector is still important because it has the most weight of the linkage. Scientific knowledge of industrial sector is also important. The connection rate of industrial science is the strongest in all sectors. And this research classify the R&D type by science fields. Considering the differences of science fields is needed to product science knowledge effectively.

• The Journal of the Korea Contents Association
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• v.16 no.8
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• pp.180-191
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• 2016

This study utilized a semantic network analysis for Korean major newspaper articles concerning 'Bernie Sanders'. 'Bernie Sanders' promotes conservative values of 'Americana' as well as the progressive values of 'relieving inequality', and thus, perhaps he is a subject on which ideological differences between the press can be distinctively manifest. Upon comparison of the priority of frequency between the conservative press and progressive press, the conservative press frequently used the expressions, 'socialist' and 'black man', whereas the progressive press frequently used the expressions, 'inequality' and 'problem'. Both the conservative press and progressive press displayed particularly different semantic compositions with the term, 'Korea'. The progressive press aimed to express the criticism of social problems and established politics identified by Sanders in relation to the 'Korean' society, whereas the conservative press criticized the blunt expressions stating that a specifically named politician resembles Sanders, and the specific party and term of 'Korea'. A completely different disposition of reports from different perspectives and context was ascertained, regardless of the use of the same terms. Thus, it is demonstrated that the semantic composition of the press on a specific issue displays significant differences according to their ideological disposition.