• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2021년도 추계학술대회
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• pp.170-171
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• 2021

전 세계의 많은 전문가들은 코로나19 바이러스가 완전히 종식된 이후에도 코로나 이전과 똑같은 모습으로 돌아가기 어려울 것이라고 예측한다. 코로나19 사태의 장기화로 비대면 추세가 지속되면서 스포츠 활동이 위축되고 국민들의 운동량은 감소하였다. 사회적 거리두기 단계 상향으로 다중이용시설 이용이 점차 제한되자 비대면 서비스에 대한 수요가 증가하고 있다. 본 연구는 생활체육 참여 실태를 파악하여 포스트 코로나 시대에 적합한 생활체육 활성화방안에 대해서 고찰한다.

• 한국융합학회논문지
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• 제13권1호
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• pp.313-323
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• 2022

본 연구에서는 COVID-19시대에 비대면 서비스가 확대되고 있는 상황에서 마비말장애의 재활을 위한 디지털 치료제 기반의 커뮤니티케어 방안을 모색하고자 하였다. 이를 위하여 병원, 언어치료기관, 사회복지기관에서 근무하는 전문가들을 대상으로 질적연구를 수행하였고, 연구 결과 3개의 주제와 9개의 하위주제, 18개의 의미단위가 도출되었다. 분석결과에 근거한 디지털 치료제 기반의 커뮤니티케어 모델은 원격진단, 원격치료, 재활훈련 프로그램 제공, 동료지원가들의 지지, 임상적 지원, 의사소통 지원, 심리사회적 중재, 케어플랜 서비스 등 9가지 유형으로구성되었다. 본 연구는 디지털 치료제를 활용한 보건-복지 연계서비스를 위한 기초자료와 다학제간 협력에 기반한 공유케어 계획 수립의 가이드라인을 제공할 수 있을 것이다.

• 한국엔터테인먼트산업학회논문지
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• 제15권2호
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• pp.179-189
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• 2021

코로나19로 학교가 문을 열지 못하고 위기에 처하자 학교는 온라인 교육을 실시하며 원격수업을 확대하였다. 모두가 어려워했지만 학교교사들의 열정과 노력으로 원격수업은 안정화되었다. 'K-교육'으로 불리는 한국의 온라인 교육은 학교교사들이 코로나19에 대응해 주체적으로 추진하고 있으며, 향후 포스트코로나를 넘어 미래교육의 중요한 영역으로 거론된다. 따라서 학교교사들이 경험한 K-교육의 의미를 분석하고 포스트 코로나 시대 교육패러다임의 변화를 연구하는 것은 미래교육의 방향과 내용을 정립하는데 매우 중요하다. 이 연구에서는 코로나19에 대응하며 학교교사들이 경험한 K-교육을 질적 연구방법인 FGI를 통해 '학교교사들의 달라진 일상', '학교의 변화', '교사들이 느낀 어려움', 'K-교육을 위한 제안'으로 기술하였다. 이를 토대로 코로나19를 거치며 변화된 K-교육의 특징을 '교육 공간의 확장', '교육 형식의 확장', '대면교육의 중요성 부각'으로 분석하였다. 이 연구를 통해 학교교사들이 주도하는 K-교육이 대한민국을 넘어 전 세계를 선도하는 데 초석이 되길 기대한다.

• 문화기술의 융합
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• 제7권4호
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• pp.559-564
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• 2021

본 연구는 코로나-19로 인하여 전면적으로 원격수업을 경험한 대학 교수자를 대상으로 코로나-19 이후 원격수업 운영 의사에 영향을 미치는 요인을 탐색하는 데 목적을 둔다. 연구문제는 1) 포스트 코로나 시대 원격수업 운영의사에 영향을 미치는 요인은 무엇인가, 2) 포스트 코로나 시대 원격수업 운영 의사에 영향을 미치는 요인을 미치는 요인의 조합은 무엇인가이다. 연구문제의 해결을 위해 2020학년도 2학기 서울 소재 S대학교에서 운영된 원격수업 311강좌를 대상으로 설문조사를 통해 데이터를 수집하고, 로지스틱 회귀분석과 의사결정나무 분석을 통해 관련 요인 및 요인의 조합을 확인하였다. 연구 결과 로지스틱 회귀분석에 따라 도출된 개별 요인으로는 강좌 질 관리, 온라인 근무시간, 퀴즈, 중간구술시험, 신규영상 개발과 대면-원격수업의 학생 간 질의응답 활동과 교수자의 선다형 질문에 대한 학생의 전체투표 참여 유형이 향후 원격수업 여부에 영향을 미치는 것으로 나타났다. 그리고 의사결정나무 분석을 통해 확인된 요인의 조합으로는 강좌 질 관리×퀴즈×학생 간 질의응답과 강좌 질 관리×퀴즈×전체투표활동 유형이 코로나-19 이후 원격수업 운영 여부에 영향을 미치는 것으로 나타났다. 연구 결과를 바탕으로 포스트 코로나 시대 원격수업의 운영과 지원 방식에 대하여 제안하였다.

• International Journal of Advanced Culture Technology
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• 제10권1호
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• pp.204-210
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• 2022

From the 1970s to the present, the number of new infectious diseases such as SARS, Ebola virus, and MERS has steadily increased. The new infectious disease, COVID-19, which began in Wuhan, Hubei Province, China, has pushed the world into a pandemic era. As a result, Countries imposed restrictions on entry to foreign countries due to concerns over the spread of COVID-19, which led to a decrease in the movement of tourists. Due to the restriction of travel, keywords such as "Corona blue" have soared and depression has increased. Therefore, this study aims to analyze the stress meaning network of the COVID-19 era to derive keywords and come up with a plan for a travel-related platform of the Post-COVID 19 era. This study conducted analysis of travel and stress caused by COVID-19 using TEXTOM, a big data analysis tool, and conducted semantic network analysis using UCINET6. We also conducted a CONCOR analysis to classify keywords for clustering of words with similarities. However, since we have collected travel and stress-oriented data from the start to the present, we need to increase the number of analysis data and analyze more data in the future.

• 아태비즈니스연구
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• 제13권1호
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• pp.301-315
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• 2022

Purpose - The main objective of this study was to investigate tourists behavior by applying protection motivation theory and health belief model during COVID-19 pandemic. Specifically, the study examined how risk perception of COVID-19 affects tourists' protection motivation and travel avoidance intention. Design/methodology/approach - The empirical data was collected by self-administered questionnaires to obtain perception and behavior regarding COVID-19 pandemic situation. A total of 486 questionnaires were used for data analysis and SEM analysis was applied in order to examine seven hypotheses. Findings-The results showed that COVID-19 risk perception is a significant antecedent of threat appraisal, coping appraisal, and cue to action (H1, H2, H6). Moreover, protection motivation is affected by threat appraisal and coping appraisal (H3, H4) and influences on travel avoidance intention (H5). However, cue to action does not affect protection motivation (H7). Research implications or Originality - This study provides insightful implications for tourism industry practitioners who will prepare the post-corona field and the results enrich knowledge of the tourist behavior during pandemic situation.

• 대한물리의학회지
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• 제15권3호
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• pp.135-147
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• 2020

PURPOSE: The purpose of this paper is to provide a review of physiotherapy intervention for patients with COVID-19 during their hospital admission and post-discharge. METHODS: The recommendations and guidelines of physiotherapy management, medical management, and general information of the WHO, Australian Physiotherapist, European Respiratory Society, British Thoracic Society, and American Thoracic Society were reviewed. RESULTS: This paper contains general information on COVID-19, including medical management, and the importance of physiotherapy approaches including an assessment of the patients' function, such as the 6-minute walking test, five sit to stand or sit to stand for one minute to measure their function as their recovery journey. The patients' quality of life, anxiety, and depression should be considered. Physiotherapy management should be based on an assessment of the patient's presenting impairments, including inclusion and exclusion of physiotherapy intervention. The paper also approaches step by step with the disease progress, from an intensive care unit, the general ward in the acute phase, through to the rehabilitation ward if needed, and post-discharge as an outpatient.. CONCLUSION: The paper has a limitation due to the unknown factor of the natural history of COVID-19. Depending on the patients' recovery journey and the rehabilitation needed, any physiotherapy interventions should focus on what the patients' need on their journey to recovery, e.g., pulmonary, cardiac, neurological, and general rehabilitation. In addition, applying personal protection equipment for treating physiotherapists is a mandatory requirement because this protects from the transmission of COVID-19.

• 한국직업건강간호학회지
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• 제32권4호
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• pp.215-224
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• 2023

Purpose: This study uses data from the 12th~17th Korea Welfare Panel (2017~2022) to analyze changes in depression scores due to the COVID-19 outbreak and the factors that influenced depression scores according to employment type. Methods: The difference in depression scores according to employment types before COVID-19 (12th~14th) and after COVID-19 (15th~17th) was analyzed. A fixed-effect model analysis was conducted before and after the occurrence of COVID-19. Results: After the outbreak of COVID-19, job satisfaction and family life satisfaction influenced the depression scores of regular wage workers. After the outbreak of COVID-19, annual income, health status, and satisfaction with family life affected the depression scores of non-regular wage workers. After the outbreak of COVID-19, leisure life satisfaction and family relationship satisfaction influenced the depression scores of self-employed. Self-esteem played a role as a control variable in lowering the depression scores of regular and non-regular workers, but did not play a role as a control variable for self-employed. Conclusion: Rather than the direct impact of infectious diseases such as COVID-19, social and economic changes resulting from policies implemented to prevent the spread affect workers' depression, and the impact varies depending on the type of employment. When implementing policies to prevent the spread of infectious diseases in the future, policies that take employment type into consideration rather than uniform policies should be prepared, and measures for mental health also need to be prepared.

• 한국의류산업학회지
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• 제24권5호
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• pp.593-604
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• 2022

The purpose of this study is to analyze the flow of change in perception of metaverse before and after COVID-19 through big data analysis. This research method used Textom to collect all data, including metaverse for two years before COVID-19 (2018.1.1~2019.11.30) and after COVID-19 outbreak (2020.1.11~2021.12.31), and the collection channels were selected by Naver and Google. The collected data were text mining, and word frequency, TF-IDF, word cloud, network analysis, and emotional analysis were conducted. As a result of the analysis, first, hotels, weddings, and glades were commonly extracted as social issues related to metaverse before and after COVID-19, and keywords such as robots and launches were derived, so the frequency of keywords related to hotels and weddings was high. Second, the association of the pre-COVID-19 metaverse keywords was platform-oriented, content-oriented, economic-oriented, and online promotion-oriented, and post-COVID-19 clusters were event-oriented, ontact sales-oriented, stock-oriented, and new businesses. Third, positive keywords such as likes, interest, and joy before COVID-19 were high, and positive keywords such as likes, joy, and interest after COVID-19. In conclusion, through this study, it was found that metaverse has firmly established itself as a new platform business model that can be used in various fields such as tourism, travel, festivals, and education using smart technology and metaverse.

• 유통과학연구
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• 제19권10호
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• pp.43-54
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• 2021

Purpose: The restrictions posed by the COVID-19 pandemic have affected the normal functioning of the economy. A country like India is facing a lot of concerns in all its sectors especially, in its fiscal system. This paper makes an attempt to examine the impact of COVID-19 first wave on Goods and Service Tax revenue collection and distribution in India and also studies the impact of COVID-19 first wave on the state wise GST revenue of the country. Research Design, Data and Methodology: Our study is based on published GST revenue data. Tools such as Paired Sample t-test, Wilcoxon signed rank test are employed to analyze the data. Results: Our results provide evidence that there is a sharp decline in the GST revenue in the months after the lockdown announcement. The large states show no significance impact of COVID-19 pandemic on GST collection. Whereas, small states like Manipur and Goa show significant difference in GST revenue collection & distribution between the pre and post lockdown period. Conclusion: The outcome of this study will help the policymakers to analyze the extent of the GST revenue loss to the government treasury and will allow them to take appropriate measures in the future.