• 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.

• International Journal of Internet, Broadcasting and Communication
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• 제13권4호
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• pp.72-78
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• 2021

Currently, the Korean wave is not limited to popular culture, but has a significant impact not only on Korea's national image but also on the improvement of Korean companies' products and image of Korea. In this study, using Textom to confirm the change in foreign tourists' image of Korea, the data collection period was 1 year of 2020, when COVID 19 occurred, as a collection period for "Korea and foreigner" and related key words, each Hallyu content, and ranked in the top 80 keywords were derived. Centrality analysis for semantic network visualization was performed using UCINET6, and through CONCOR analysis, 7 groups 'K-Quarantine ', 'K-Drama', 'K-Movie', 'K-Beauty', 'K-Shopping', It was clustered into 'K-Tech' and 'K-Pop'. As a result of the analysis, the image of Korea abroad generally recognized the Korean Wave as cultural content, but after the outbreak of COVID 19, it is judged that it has been recognized as a country with a successful case of K-Quarantine.

• 한국의류산업학회지
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• 제24권1호
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• pp.66-80
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• 2022

Even before the Covid-19 outbreak, the second-hand fashion market has been growing as the fashion industry strives towards sustainability. It has also accelerated due to the economic contraction caused by the pandemic. In previous studies, the second-hand market has been steadily studied; however, the research is insufficient compared to the diversified market. Therefore, this study investigates changes in consumers' perception of the second-hand fashion market affected by Covid-19. This study collected text data with the keyword 'second-hand fashion' from various blogs. We analyzed 24,000 posts before and after the Covid-19 outbreak by applying the LDA algorithm for topic modeling and content analysis. Seven and nine different topics for the period before and after the pandemic respectively were derived. The results revealed that during the pandemic the consumers realized the practical value of sustainability in their daily lives than they did before the pandemic. Furthermore, they tried to minimize transaction anxiety by using diverse platforms with advanced technology. They also realized economic value by buying and selling sneakers in the popular sneakers resale market. The results could help understand the rapidly growing second-hand fashion market during Covid-19.

• 패션비즈니스
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• 제26권3호
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• pp.1-18
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• 2022

The COVID-19 pandemic has not only increased customer preference for contactless methods but also created digital business opportunities in a variety of industries. Particularly in the fashion industry, contactless distribution and contactless shopping have increased significantly. This study identifies the changed consumers' perception of contactless shopping, which has been expanded due to the COVID-19 pandemic and analyzes specific factors that influence shopping switching intention to derive efficient marketing plans for post COVID-19 era. The study targeted Korean male and female consumers. The perceived value, usefulness, and alternative attractiveness of contactless shopping had a significant effect on shopping switching intention, and a moderating effect of offline fashion stores was confirmed. These results indicate that customers' experience in a fashion store influences their next online and offline shoping. This study, therefore, proposed the direction that the fashion industry should advance from a marketing perspective in the post COVID-19 era.

• Journal of Preventive Medicine and Public Health
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• 제56권6호
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• pp.515-522
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• 2023

Objectives: The pandemic caused by coronavirus disease 2019 (COVID-19) has exerted an unprecedented impact on the health of populations worldwide. However, the adverse health consequences of the pandemic in terms of infection and mortality rates have varied across countries. In this study, we investigate whether COVID-19 mortality rates across a group of developed nations are associated with characteristics of their healthcare systems, beyond the differential policy responses in those countries. Methods: To achieve the study objective, we distinguished healthcare systems based on the extent of healthcare decommodification. Using available daily data from 2020, 2021, and 2022, we applied quantile regression with non-additive fixed effects to estimate mortality rates across quantiles. Our analysis began prior to vaccine development (in 2020) and continued after the vaccines were introduced (throughout 2021 and part of 2022). Results: The findings indicate that higher testing rates, coupled with more stringent containment and public health measures, had a significant negative impact on the death rate in both pre-vaccination and post-vaccination models. The data from the post-vaccination model demonstrate that higher vaccination rates were associated with significant decreases in fatalities. Additionally, our research indicates that countries with healthcare systems characterized by high and medium levels of decommodification experienced lower mortality rates than those with healthcare systems involving low decommodification. Conclusions: The results of this study indicate that stronger public health infrastructure and more inclusive social protections have mitigated the severity of the pandemic's adverse health impacts, more so than emergency containment measures and social restrictions.

• 산업융합연구
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• 제20권8호
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• pp.97-107
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• 2022

본 연구는 포스트 코로나 시대 간호대학생의 수업 경험에 대한 의미와 본질을 이해하기 위해 시도되었다. 연구 참여자는 코로나 펜데믹 이후 4학기 동안 대면 수업과 비대면 수업을 모두 경험한 1-4학년 재학생 10명이었으며, 자료수집 기간은 2021년 12월 9일부터 12월 30일까지였다. 수집된 자료는 Colaizzi의 방법을 적용하여 분석하였으며, 연구결과 6개의 범주, 13개의 주제모음, 25개의 주제가 도출되었다. 6개의 범주는 '미래에 대한 막연함', '간호 실무에 대한 자신감 결여', '수업 시스템의 안정화', '상황에 대한 수용과 적응', '예비간호사로서 직업적 소명의식을 가짐', '비대면 수업의 개선 방향을 찾음'이었다. COVID-19 발발 이후 만 2년이 지난 현시점에서 간호대학생의 수업 경험에 대한 이해는 향후 교육 방향에 대한 전략을 모색하고 미래 교육의 질을 제고하는데 있어 기초자료로 활용될 수 있을 것이다.

• 정신신체의학
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• 제31권2호
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• pp.72-78
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• 2023

연구목적 코로나19 감염으로 인한 다양한 정신과적 증상, 정신신체증상을 파악하고 장기적 영향을 조사하였다. 방 법 체계적 문헌고찰을 통해 국내외 데이터베이스에서 논문을 선정하고, "COVID-19", "psychosomatic" 등의 검색어를 활용하였다. 정신신체증상에 대한 구조화된 측정도구를 사용한 연구를 포함하여, 총 16편의 논문이 최종 분석 대상으로 포함되었다. 결 과 코로나19 급성 감염과 관련된 정신증상으로는 불안, 우울, 신체증상 등이 보고되고 있다. 장기간 지속되는 포스트 코로나증후군의 증상으로는 흉통, 피로 등이 보고되었고, 이와 관련된 정신신체증상의 발생 빈도는 10%-20%로 파악되었다. 감염병으로 인한 심리사회적 스트레스, 여성, 노인, 정신과적 기왕력이나 동반 정신질환 등의 요인이 관련을 미친다. 전신염증, 자가면역, 자율신경계의 이상반응 등이 관련이 있을 것으로 생각되고 있다. 결 론 코로나19 감염 이후 발생하는 정신신체증상은 삶의 질과 심리사회적 기능에 부정적인 영향을 미칠 뿐 아니라 증상에 대한 정신과적 이해와 접근은 예방과 치료에도 중요하다.

• 한국IT서비스학회지
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• 제20권5호
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• pp.1-9
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• 2021

Since the first confirmed case in January 2020, Coronavirus disease 2019(COVID-19) has brought many changes to our society, and Korea is no exception. Some changes are direct and immediate such as restrictions on overseas travel and social distancing, but the others are indirect and slowly adapted such as lifestyle changes impacting industries and businesses. IT service sector is tremendously influenced by COVID-19. IT service is used extensively in response to COVID-19 taking advantage of its non-face-to-face characteristics. In that sense, the industry is positively affected and in some sense invigorated, giving birth to new kind of services. This special issue focuses on introducing how the IT services are affected, what kind of transformations are undergoing, and how these are expedited after COVID-19. This special issue expands and extends the case research section by collecting new IT service case studies concerning these topics. After competitive review process, 11 studies are selected for this special issue which deals with four different but closely related aspects: (1) evolutions of private IT services, (2) transformations in public IT services, (3) impacts in the hospitality and tourism industry, and (4) changes of people's behavior along with COVID-19. The first set reports on the evolution of private IT services that have created terms such as foodtech and edutech as we enter a rapid non-face-to-face situation. The second set consists of studies dealing with the evolution of public IT services. Evolution and rapid response to non-face-to-face appear to be no exception in the public sector. The third includes studies of hospitality and tourism which is most strongly affected by COVID-19. The last set deals with the behavioral changes of users such as technostress in telecommuting. Lessons learned through best practices and key problems identified in these studies may help us to actively respond to the coming waves of changes incurred by COVID-19 in our society as well as in the IT service industry.