• Journal of the Korea Society of Computer and Information
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• 제25권12호
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• pp.83-91
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• 2020

This study aims to identify research topics and examine the trend of Covid19-related papers on DBpia. Applying latent Dirichlet allocation (LDA), we have extracted seven research topics, each of which concerns "International Dynamics", "Technology & Security", "Psychological Impact", "Biomedical-Related", "Economic Impact", "Online Education", and "Religion-Related". In addition, we used the multinomial logistic model to examine the trend of research topics. We found that the papers mainly cover topics related to "International Dynamics" and "Biomedical-Related" before June 2020, but the topics have become diverse since then. In particular, topics regarding "Economic Impact", "Online Education" and "Psychological Impact" has drawn increased attention of researchers. The findings would provide a guideline for collaboration in Covid19-related research, and could serve as a reference work for active research.

• Journal of the Korean Society of School Health
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• 제36권3호
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• pp.103-112
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• 2023

Purpose: The COVID-19 pandemic, which emerged in late 2019, had a profound impact on global public health and disrupted the daily lives of people worldwide. Particularly, university students faced a challenging situation as their university life underwent a drastic transformation due to long-term remote learning and isolation measures. This study aimed to investigate the relationship between changes in daily life during the 2020 COVID-19 pandemic and depressive symptoms among university students aged between 19 and 29 in Korea. Methods: We analyzed data from the nationally representative 2020 Community Health Survey (CHS). Among the 229,269 participants, 9,279 university students aged 19-29, either enrolled or on leave, were selected. After excluding 401 cases with missing values, the final sample comprised 8,878 individuals. Using multivariate logistic regression with a complex sample design, we explored the association between daily life changes during the COVID-19 pandemic and depressive symptoms. Results: Changes in daily life during the COVID-19 pandemic was associated with depressive symptoms in Korean university students aged 19 to 29, even after adjusting for sociodemographic characteristics, health-related factors, and COVID-19-related aspects (OR=1.28, 95% CI=1.09~1.50). Conclusion: Our study suggests that when examining the impact of COVID-19 on health issues, it is crucial to consider the changes in daily life caused by the pandemic. These findings can provide insights into the psychological well-being of university students during times of crisis.

• Journal of Industrial Convergence
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• 제21권2호
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• pp.17-23
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• 2023

The purpose of this study is to identify the major research trends of COVID-19 in recent times. In addition, we would like to use SCOPUS, an overseas academic database provided by Elsevier, to understand the research trends of COVID-19 in the last three years (2020-2022). As a result of frequency analysis, covid 7,248 cases, pandemic 4,974 cases, study 3,313 cases, research 2,137 cases, crisis 1,777 cases appeared in order of importance. As a result of the trend analysis, we found that studies on covid and pandemic are progressing steadily, but those on study, research, and crisis have decreased somewhat recently. As a result of LDA topic modeling analysis, the important topics were found to be 'covid19, pandemic'. This shows that research on COVID-19 is important not only in everyday life, but also in companies and organizations, and therefore in other academic fields besides medicine. When (the study of)COVID-19 becomes more important than ever, there seems to be an ongoing interest in the impact and ramifications of COVID-19 research.

• Journal of Industrial Convergence
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• 제22권6호
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• pp.51-59
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• 2024

The purpose of the paper is to suggest government policies that are practically helpful to small business owners in pandemic situations such as COVID-19. To this end, keyword frequency analysis and word cloud analysis of text mining analysis were performed by crawling news articles centered on the keywords "COVID-19 Support for Small Businesses", "The Impact of Small Businesses by Response System to COVID-19 Infectious Diseases", and "COVID-19 Small Business Economic Policy", and major issues were identified through LDA topic modeling analysis. As a result of conducting LDA topic modeling, the support policy for small business owners formed a topic label with government cash and financial support, and the impact of small business owners according to the COVID-19 infectious disease response system formed a topic label with a government-led quarantine system and an individual-led quarantine system, and the COVID-19 economic policy formed a topic label with a policy for small business owners to acquire economic crisis and self-sustainability. Focusing on the organized topic label, it was intended to provide basic data for small business owners to understand the damage reduction policy for small business owners and the policy for enhancing market competitiveness in the future pandemic situation.

• Journal of Venture Innovation
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• 제5권4호
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• pp.157-178
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• 2022

The economy has deteriorated worldwide due to COVID-19, and the domestic economy has also been hit hard. Accordingly, the government implemented unprecedented financial support policies related to COVID-19 to solve the financial difficulties experienced by SMEs. In addition, as the spread of COVID-19 continued, the government implemented guidelines and measures along with recommendations for non-face-to-face contact. Organizations in the public and private sectors have introduced non-face-to-face work methods. Considering this situation, this study investigated the impact of COVID-19-related financial support policies on technological innovation of SMEs. External support is important for corporate innovation, but internal capabilities are also important. Therefore, the effect of entrepreneurship on product innovation was identified. In addition, as the non-face-to-face work method was activated, the effect of smart work was identified by comparing companies that introduced smart work and companies that did not. As a result of the analysis, entrepreneurship showed a positive (+) effect regardless of the introduction of smart work. Financial support policies related to COVID-19 were found to show mixed results according to the type of support.

• KDI Journal of Economic Policy
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• 제43권2호
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• pp.103-123
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• 2021

This paper examines the impact of the regional cash subsidies which were granted in some districts in addition to the national universal stimulus payment in South Korea related to the COVID-19 pandemic. We evaluate the effects of the cash distribution per resident on aggregate credit and debit card sales and sales by industry using the difference-in-difference method. The increment in card spending due to the cash subsidy is about 1.58%p in total, and this effect is concentrated within a single month. The consumption stimulating effect is prominent among (semi)-durable goods that do not require close interactions between customers and sellers. In contrast, the effect is relatively small in the high-contact face-to-face service sectors and restaurants, areas the COVID-19 pandemic hit directly. On the other hand, some service sectors where customers could wear face masks, such as education and fitness, experienced a substantial sales boost due to the cash subsidy.

• International Journal of Computer Science & Network Security
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• 제21권12spc호
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• pp.657-663
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• 2021

The main purpose of the study is to analyze the information aspects of the impact of COVID-19 on the labor market in the EU and Ukraine. In addition to studying the key parameters of changes in the labor market under the influence of COVID-19, i.e. the unemployment rate and the share of the employed population, a thorough study of gender equality, labor migration and the impact on youth made it possible to characterize the effectiveness of the policy of stabilization and restoration of the labor market in the EU and Ukraine. The results obtained form the necessary information basis for modeling labor market regulation in the event of possible subsequent disturbances, in particular under the influence of global pandemics.

• Asia Marketing Journal
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• 제26권1호
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• pp.11-22
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• 2024

In the uncertainty fueled by the COVID-19 pandemic, mergers and acquisitions (M&As) have emerged as key strategic responses by firms. This study explores the impact of M&As on acquirers' firm value, utilizing a firm-level panel dataset from SDC Platinum. Empirical evidence recognizes the potential negative impact of transaction value in M&As and the pandemic's effect on market uncertainty that may occasionally exacerbate the adverse influence on acquirers' firm value. The findings indicate that effective marketing strategies, such as enhancing consumer awareness through increasing advertising expenditures, can counterbalance these influences, particularly during uncertain times. This study accentuates the importance of adaptability and a responsive marketing approach in managing M&As during a global crisis. It provides valuable perspectives on consumer awareness in strategic decision-making, offering insights for both academic and business communities and focusing on actionable strategies for navigating the global market turmoil transformed by COVID-19.

• Korean Journal of Artificial Intelligence
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• 제12권2호
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• pp.25-33
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• 2024

This study examines the relationship between customer satisfaction and management response in the hotel industry amid the COVID-19 pandemic. By applying regression analysis and topic modeling to consumer reviews on online platforms, we assess how consumer perceptions and management behaviors have shifted since the onset of the pandemic. The findings reveal a significant decline in customer satisfaction linked to COVID-19. Significantly, while the pandemic has reduced overall customer satisfaction levels, high response rates and high review-response content similarity mitigate the impact of the crises. These results highlight the critical need for hotel managers to continuously monitor online reviews and adapt their engagement strategies to maintain and enhance customer satisfaction during ongoing and future crises. This research not only corroborates existing theories on customer satisfaction but also exposes novel dynamics introduced by the pandemic, offering new insights for effective customer relationship management in turbulent times.

• The Journal of Asian Finance, Economics and Business
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• 제8권7호
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• pp.383-391
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• 2021

This study examines the connectedness between the number of COVID-19 cases in Thailand and trading value among investors in the Stock Exchange of Thailand. Daily data of COVID-19 cases and trading value were sourced from the Thailand ministry of public health and the Stock Exchange of Thailand, from January 12, 2020 to May 11, 2021. This study applies a multiple linear regression analysis to explain the relationship between variables. Empirical evidence clearly shows that the volatility of trading value was affected by COVID-19's new, confirmed, and deaths cases within the first pandemic period more than during the second pandemic period. Nevertheless, during the third pandemic period there is no evidence that the new, confirmed, and deaths cases significantly influenced trading value. Furthermore, the results show that COVID-19's new and deaths cases have a negative coefficient that indicated the trading value-buy/sell decreased in response to COVID-19's new and deaths cases, whereas the confirmed COVID-19 cases have a positive coefficient that indicated the trading value-buy/sell increased in response to COVID's confirmed cases. In summary, this study suggests that the number of COVID-19 cases have a significant impact on the trading value in the short term more than in the intermediate and long term.