• Asia pacific journal of information systems
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• 제30권4호
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• pp.785-807
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• 2020

The novel Coronavirus disease 2019 (COVID-19) is unprecedentedly changing the world since its outbreak in late 2019. Using the collected the data related to COVID-19 and the social media user data from a mobile application market research agency from January 25 to April 7, this study empirically examines the effect of the number of confirmed COVID-19 cases worldwide, the number news COVID-19, and the enforcement of social distancing measures on the daily active users (DAU) of two social media services - Twitter and Facebook - in South Korea. There are three important findings from the results of econometric analysis. First, the number of confirmed COVID-19 cases worldwide has a negative effect on the DAU of social media. Second, the number of COVID-19 news is negatively associated with the DAU of social media. Finally, the implementation of social distancing measures has no significant effect on the DAU of the social media. Theoretical implications and managerial guidelines are also discussed.

• 한국산업정보학회논문지
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• 제27권2호
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• pp.115-128
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• 2022

본 연구는 Covid-19 팬데믹이 항공산업에 미친 영향과 동향을 살펴보고자 국내 뉴스 기사 데이터를 활용하여 키워드 트렌드 분석을 진행하였다. 데이터 수집을 위하여 Covid-19 발생 기준으로 전, 후 각 6개월의 기간을 나누어 '항공사' 키워드를 중심으로 관련 기사들을 추출하였다. 이후 기간별 동시 출현 빈도를 파악한 후 LDA 기법을 이용하여 토픽 모델링을 진행하였으며, Covid-19의 진행 동향과 토픽 패턴과의 관계 분석을 통해 상황에 따른 주요 토픽을 도출하였다. 이러한 결과를 활용하여 Covid-19와 같이 범세계적으로 영향을 주는 전염병이 발생할 경우 그 추이에 따라 항공산업에 미치는 영향을 예측할 수 있는 기초자료로 활용될 수 있을 것으로 기대된다.

• The Journal of Asian Finance, Economics and Business
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• 제8권3호
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• pp.39-47
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• 2021

This research aims to confirm if the COVID-19 pandemic has had an impact on existing sectors, and how that affects the Indonesian Stock Exchange (IDX) market returns. The research method used is an event study employing market models in nine sectors of the Exchange with purposive sampling technique, and supported by Ordinary Least Square (OLS) regression. Based on the calculation of abnormal returns in the period of 30 days before up to 30 days after, the financial property, real estate, and construction sector results show a decreased abnormal return value. The infrastructure, utilities, and transportation sectors also show an abnormal return value that tends to be constant, while the abnormal return value increases in other sectors. Judging from the cumulative value of abnormal returns, the most affected sector is financials, followed by the trade, service, and investment sectors. The consumer goods and mining industry sectors are still optimistic, while other sectors show temporary negative sentiment. Overall, the stocks on the Indonesia Stock Exchange (IDX) were affected by the COVID-19 pandemic with a cumulative negative value of the average abnormal return sample. The results using OLS regression also strengthen the relationships between the COVID-19 pandemic, and negative and significant market returns.

• 정신신체의학
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• 제30권1호
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• pp.22-29
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• 2022

연구목적 본 연구는 코로나바이러스감염증-19 대유행 중 전공의 및 수련의의 스트레스와 불안 및 우울 간 상관관계를 파악하고 회복탄력성의 매개효과를 평가하고자 한다. 방 법 코로나바이러스감염증-19 대유행 기간 중 일개 대학병원에서 근무한 전공의 및 수련의를 대상으로 자가보고식 설문 조사를 통해 스트레스 인지도, 불안 및 우울, 회복탄력성 정도를 평가하였다. 이후 각 변인 간 상관관계를 평가하고 회복탄력성의 매개효과 검증절차를 시행하였다. 결 과 총 74명의 참여자에게서 스트레스 평균 18.79점, 불안 총점 평균 6.24점, 우울 총점 평균 7.81점으로 나타났고, 불안과 우울의 고위험군은 각각 28명(37.8%), 41명(55.4%)로 나타났다. 스트레스 총점이 높을수록 불안과 우울의 총점이 높게 나타났으며, 회복탄력성 총점이 높을수록 스트레스 총점, 불안 및 우울 총점 모두 낮게 나타났다. 회복탄력성의 매개효과는 스트레스와 우울 총점 간 상관관계에서만 통계적으로 유의했다. 결 론 코로나 바이러스 감염증-19 유행 기간 중 전공의 및 수련의에게서 높은 수준의 스트레스를 보였고, 이들 중 상당수가 불안 및 우울장애의 고위험군으로 확인되었다. 스트레스는 우울 및 불안을 증가시키며 이중 우울은 회복탄력성에 의해 완화될 수 있음을 보였다.

• 대한토목학회논문집
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• 제43권3호
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• pp.363-370
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• 2023

COVID-19 (Coronavirus disease 2019) 확산으로 2020년 초부터 도시철도 등 대중교통수단의 이용량이 크게 변동하였다. 이에 본 연구에서는 COVID-19 이전과 COVID-19 확산 이후, 3년 동안 도시철도 역별 일별 시계열 자료를 수집하여 DTW (Dynamic Time Warping) 거리법을 통해 시계열 군집분석 유사도를 평가하여 군집 별 회귀 중앙치를 도출하고, COVID-19 등 여러 외부 사건이 이용객 수의 변동에 미치는 영향을 시계열 충격 탐지 함수(Outlier Detection)로 진단하였다. 또한 도시철도 역의 군집 별 이용 특성을 분석하고 또한 외부 충격에 따른 승객량의 변동을 파악하였다. 향후 COVID-19 재확산 시 이용량의 유지와 회복에 대한 방안을 검토하는 데 목적을 두었다.

• 한국융합학회논문지
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• 제11권10호
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• pp.337-348
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• 2020

본 연구의 목적은 대구/경북지역의 일반 성인을 대상으로 사건충격과 건강신념이 자가치료지침 수행에 영향을 미치는지 확인하고, 사건충격과 자가치료지침 수행 간의 관계에서 건강신념의 매개효과를 살펴보고자 수행하였다. 연구 참여자는 대구/경북지역에 거주하는 331명의 성인이며, 온라인 설문조사를 통해 자료를 수집하였다. 수집한 자료는 위계적 회귀분석과 Process Procedure (Model 4)를 이용하여 매개효과를 분석하였다. 연구결과, 사건충격은 건강신념에 유의한 직접효과가 있었고, 건강신념은 자가치료지침 수행에 유의한 직접효과가 있었다. 또한, 건강신념은 사건충격과 자가치료지침 수행 간의 관계에서 매개효과가 유의하게 나타났다. 일반 성인을 대상으로 하는 건강교육을 적용함에 있어서 코로나-19와 같은 신종전염병에 관한 건강신념을 확립할 수 있는 교육내용이 필요하며, 자가치료지침 수행을 향상시킬 수 있는 프로그램을 주기적으로 수행할 필요가 있음을 논의하였다.

• 무역학회지
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• 제47권3호
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• pp.37-55
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• 2022

This paper takes the factors influencing consumers' purchase of organic agricultural products before and after the COVID-19 epidemic as the starting point, decomposes Chinese consumers' purchase behavior of organic agricultural products into questionnaire surveys before and after the COVID-19 epidemic with the help of the theory of planned behavior, and builds structural equation regression models to compare and analyze them respectively. The study investigates whether this change has any impact on consumers' purchasing behavior of organic agricultural products, and proposes rationalized countermeasures from different perspectives based on the results of the study. To this end, this study collected 219 valid questionnaires by combing through domestic and international literature and referring to scholars' mature scales for measurement. The results showed that consumers' attitudes, subjective norms and perceptual behavioral control of organic agricultural products before and after the COVID-19 epidemic had a significant positive effect on consumers' willingness to purchase; however, it can be seen that the intervention of the COVID-19 epidemic event has significantly improved consumers' attitudes, subjective norms and perceptual behavioral control of organic agricultural products.

• 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.

• The Journal of Asian Finance, Economics and Business
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• 제9권9호
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• pp.249-261
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• 2022

Globally, COVID-19 has significantly impacted many different organizations and people. From the banks' perspective, this pandemic has affected banks' corporate and retail customers. Also, banks had to adjust to distributed workforce model. This paper analyses the lessons learned from the COVID-19 pandemic, which can be effectively used to rebuild banks' Operational Risk Management capabilities. The present study used the survey research methodology, which includes structured questionnaires completed by senior banking professionals to analyze the learnings from COVID-19 and understand the distributed workforce model and remote working effectiveness. Findings: The Pandemic accelerated the pace of digital transformation. The lockdown imposed due to the pandemic led to employees working remotely, which has been effective because of enhanced digital capabilities. However, enhanced monitoring is required to prevent data-related issues, and action needs to be taken to address challenges faced in having a remote distributed workforce model, like negative impact on on-the-job learning, data-related risks, and employee wellbeing. COVID-19 is an unprecedented event that could not have been predicted in any scenario analysis. This crisis has highlighted various systemic drawbacks that need to be addressed. Banks can apply the lesson learned from this Pandemic to become more robust in the future.

• 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.