• The Journal of Industrial Distribution & Business
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• v.12 no.7
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• pp.7-14
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• 2021

Purpose: The coronavirus (COVID-19) has become a worldwide pandemic and significantly influences the global economy. Therefore, this paper aims to determine the impact of COVID-19 on the accounting profession in Bangladesh. Research design, data, and methodology: The research has focused on its primary question. How much does COVID- 19 affect the accounting profession in Bangladesh? A formal questionnaire has been developed to address it. Questionnaire was spread via Facebook and email. Sample was determined by using random sampling method. The collection comprises 190 from Bangladesh. The Likert scale of five points was used. Descriptive and inferential statistical analysis (Wilcoxon signed-rank test) were used for analysis. Results: the study found a great impact of COVID-19 on the accounting profession in Bangladesh. Many changes are faced due to pandemics. Most accountants are working remotely during pandemic rather than before pandemic. They have adapted to new technology. Meetings and trainings are held virtually. They are also facing cybersecurity problems because of less data security. Job insecurity has increased. Conclusions Therefore, the global pandemic COVID-19 dramatically affects the accounting profession in Bangladesh. The changes that happened due to pandemics will advance the accounting profession. These revolutionary changes will become the world's new normal.

• Journal of Distribution Science
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• v.20 no.2
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• pp.91-100
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• 2022

Purpose: The sports industry is a major form of leisure and entertainment, but the industry was tremendously affected by the Covid-19 pandemic. This study gives solutions for sports leisure retail stores to the effects of the Covid-19 crisis on consumers' sports products purchasing habits and then gives a logical conclusion regarding the findings of the topic. Research design, data and methodology: Scant research is available to feedback for owners and managers of sports leisure retail stores which elements could be considered to recover their business prior to the pandemic. For achieving this, this study investigated total 284 responses in the retail stores and conducted the ANOVA analysis to compare the level of intensity on the impact Covid 19 pandemic. Results: Our findings suggests that there was a statistically recognizable difference at the significance level of probability between the mean value of the impact index of Covid 19 pandemic and key recovery strategies, indicating the high degree of Covid 19 impact can be reducing by four solutions. Conclusions: Finally, this study concludes the specific entertainment elements that influence the purchasing behavior of consumers will ensure that the Sports industry deals with its internal problems first without necessarily looking at the outside factors such as the pandemic.

• Journal of the Korea Society of Computer and Information
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• v.25 no.11
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• pp.179-185
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• 2020

In this paper, we propose impact factors and validity of blood variables on death of COVID-19 patients. The clinical-epidemiological data of 5628 COVID-19 patients, provided from Korea Disease Control and Prevention Agency as day of 30th April 2020, were used. As results, impact factors of death were dementia, older age, high lymphocyte, cancer, dyspnea, COPD, change of consciousness, heart disease, high platelets, abnormal diastolic pressure and fever. The validities of blood variables for death were high in the order of lymphocyte, hemoglobin, hematocrit, platelet and WBC. Therefore, risk factors such as initial clinical characteristics, underlying disease and blood test results, could be regarded for efficient management of COVID-19 patients.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.11
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• pp.45-53
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• 2020

Past literatures have not studied the impact of real-world events or information on the return and volatility of virtual currencies, particularly on the COVID-19 event, day-of-the-week effect, daily high-low price spreads and information flow rate. The study uses the ARMA-GARCH model to capture Bitcoin's return and conditional volatility, and explores the impact of information flow rate on conditional volatility in the Bitcoin market based on the Mixture Distribution Hypothesis (Clark, 1973). There were 3,064 samples collected during the period from 1^st of January 2012 to 20^th April, 2020. Empirical results show that in the Bitcoin market, a daily high-low price spread has a significant inverse relationship for daily return, and information flow rate has a significant positive relationship for condition volatility. The study supports a significant negative relationship between information asymmetry and daily return, and there is a significant positive relationship between daily trading volume and condition volatility. When Bitcoin trades on Saturday & Sunday, there is a significant reverse relationship for conditional volatility and there exists a day-of-the-week volatility effect. Under the impact of COVID-19 event, Bitcoin's condition volatility has increased significantly, indicating the risk of price changes. Finally, the Bitcoin's return has no impact on COVID-19 events and holidays (Saturday & Sunday).

• Korean Journal of Occupational Health Nursing
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• v.31 no.1
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• pp.1-10
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• 2022

Purpose: This study aimed to examine the impact of fear and perception of infection risk on depression among service workers during prolonged Covid-19 service, and to provide basic data on the impact of COVID-19 prevention on the psychological health of service workers. Methods: Data were collected from workers nationwide from May 24 to 31, 2021. The data were analyzed using the t-test, ANOVA, Scheffé test, Pearson's correlation coefficient, and multiple regression analysis, using SPSS 28. Results: It was found that 44.3% of the participants experienced depression (PHQ-9 total scores ≥ 10) during the Covid-19 pandemic. The general characteristics of service workers that made a difference in the level of depression were health status, smoking, and perception of infection risk. Conclusion: Social support from institutions is needed to treat depression caused by Covid-19 among workers in the service sector.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.5
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• pp.913-921
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• 2021

The objective of the study is to investigate the impact of the COVID-19 pandemic on Saudi Arabia stock market. The study relied on the data of the daily closing stock market price index Tadawul All Share Index (TASI), and the number of daily cases infected with COVID-19 during the period from March 15, 2020, to August 10, 2020. The study employs the Vector Auto-Regressive (VAR) model, the Impulse Response Function (IRF) and Autoregressive Conditional Heteroscedasticity (ARCH) models. The results of the correlation matrix and the Impulse Response Function (IRF) show that stock market returns responded negatively to the growth in COVID-19 infected cases during the pandemic. The results of ARCH model confirmed the negative impact of COVID-19 pandemic on KSA stock market returns. The results also showed that the negative market reaction was strong during the early days of the COVID-19 pandemic. The study concluded that stock market in KSA responded quickly to the COVID-19 pandemic; the response varies over time according to the stage of the pandemic. However, the Saudi government's response time and size of the stimulus package have played an important role in alleviating the impacts of the COVID-19 pandemic on Saudi Arabia Stock Market.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.4
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• pp.239-250
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• 2022

This study examined the level of capital structure and its determinants of publicly traded companies in Malaysia before and after the COVID-19 pandemic. The data for this study was examined using Python Programming Language and time-series financial data from 2,784 quarterly observations in 2019 and 2020. The maximum debt is larger before the COVID-19 period, according to the findings. During the COVID-19 period, short-term debts and total debts have both decreased slightly. However, long-term debts have increased marginally. As a result, this research demonstrates that the capital structure has changed slightly during the COVID-19 period. The findings imply that independent of the capital structure proxies, tangibility, liquidity, and business size had an impact on capital structure in both periods. It was found that profitability had a significant impact on total debts both before and after the COVID-19 crisis. While higher-profit enterprises appear to have lesser short-term debts before the COVID-19 periods, they are also more likely to have lower long-term debts during the COVID-19 periods. Even though growing companies tend to have higher short-term debts and thus total debts during those periods, longterm debts are unaffected by potential growth.

• International Journal of Computer Science & Network Security
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• v.22 no.4
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• pp.39-46
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• 2022

The spread of Omicron, a mutated version of COVID-19 across several countries is leading to the discussion of lockdown once again for curbing the spread of the new virus. In this context, this research is showing the impact of lockdown for the successful control of the COVID-19 pandemic in Saudi Arabia. The outbreak of the COVID-19 pandemic around the globe has affected Saudi Arabia with around 2,37,803 confirmed cases within the initial 4 months of transmission. Saudi Arabia has announced a 21-day lockdown from March 23, 2020, to reduce the transmission of the COVID-19 pandemic. Machine Learning-based, Multinomial logistic regression was applied to understand the relationship between daily COVID-19 confirmed cases and lockdown in the 17 most-affected cities of KSA. We used secondary published data from the Ministry of Health, KSA daily dataset of COVID-19 confirmed case counts. These 17 cities were categorized into 4 classes based on lockdown dates. A total of three scenarios such as night lockdown, full lockdown, and no lockdown have been analyzed with the total number of confirmed cases with 4 classes. 15 out of 17 cities have shown a strong correlation with a confidence interval of 95%. These findings provide evidence that the COVID-19 pandemic may be partially suppressed with lockdown measures.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.11
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• pp.11-19
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• 2021

The aim of this paper is to evaluate the impact of the COVID-19 pandemic on the stock prices of the companies traded on the UAE financial markets (Abu Dhabi Securities Exchange and Dubai Financial Market). The time series regressions have been applied to estimate the impact of COVID-19 data on the companies' stock prices movements. The data cover the period between January 29^th, 2020, and January 5^th, 2021. The data was collected from the website of the Federal Competitiveness and Statistics Centre of the UAE. The empirical results of this study show that the stock prices are negatively and significantly affected by the number of COVID-19 positive cases and the number of death while they are positively and significantly affected by the number of recoveries. The results vary from one industry to another. These results would be important to the policymakers and financial regulators in developing the needed policies to improve the stock markets' resilience and maintain financial and economic stability. In addition, the findings would be useful to the investors and portfolio managers in taking the most appropriate investment decisions and managing more efficiently their portfolios. This paper will shed light on the responsiveness of the UAE financial market to the COVID-19 pandemic.

• Smart Media Journal
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• v.13 no.1
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• pp.36-44
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• 2024

Metaverse is attracting attention as the development of virtual environment technology and the emergence of untact culture due to the COVID-19 pandemic. In this study, by analyzing users' reviews on the "Zepeto" application, which has recently attracted attention as a metaverse service, we tried to confirm changes in the requirements for the metaverse after the COVID-19 pandemic. To this end, 109,662 reviews of "Zepeto" applications written on the Google Play Store from September 2018 to March 2023 were collected, topics were extracted using LDA topic modeling technique, and topics were analyzed using the Causal Impact technique to examine how topics changed before and after based on "March 11, 2020" when the COVID-19 pandemic was declared. As a result of the analysis, five topics were extracted: application functional problems (topic1), security problems (topic 2), complaints about cryptocurrency (Zem) in the application (topic 3), application performance (topic 4), and personal information-related problems (topic 5). Among them, it was confirmed that security problems (topic 2) were most affected by the COVID-19 pandemic.