• Journal of Smart Tourism
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• v.2 no.3
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• pp.5-15
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• 2022

As the utilization of technology in the tourism field becomes familiar, it greatly impacts people's tourism activities. These changes could also affect the behavior of tourists during the pandemic. To investigate consumers' adaptation to the self-service technology (SST) environment during the coronavirus disease of 2019 (COVID-19) pandemic, we adopted a model of absorptive capacity as the main framework for empirical research. To track the social effects of COVID-19, consumers' behavioral intentions for four different points in time are collected. The analysis was conducted using latent growth and structural equation modeling. We set the organizational and environmental characteristics as the first step of the model, with assimilation and trust as a middle step. Intention to use a kiosk is placed at the final step as an exploit. Findings indicate that organizational characteristics and environmental characteristics positively influenced assimilation and trust, except for environmental characteristics. Consumers' assimilation in SST encourages immediate intention to use a kiosk. Consumers' trust in kiosks positively impacts both immediate and continuance intention to use a kiosk during COVID-19.

• KDI Journal of Economic Policy
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• v.43 no.2
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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.

• Journal of the International Relations & Interdisciplinary Education
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• v.1 no.1
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• pp.36-45
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• 2021

Due to Covid-19, international programs at the universities in the US have been temporarily on hold (or terminated). To recover from the great damage that the pandemic has brought to us, we have made our transition to provide international education via online. University of Hawaii - West Oahu has been actively coping with the impact from pandemic, and would like to propose unconventional methods of international programs to the fellow universities in Korea.

• Journal of Contemporary Eastern Asia
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• v.22 no.2
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• pp.39-58
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• 2023

This study examined China's public and government agenda setting in response to the Shanghai lockdown due to the COVID-19 pandemic. It employed content analysis, correlation, and Granger's causality tests to analyze 1,717 Weibo posts published by the public and the Shanghai Municipal Government from March 12 to June 1, 2022. The results showed that (1) pandemic statistics were the central attribute in the government agenda, while civil life, community management, and government and policies were the central attributes in the public agenda; (2) the government's agenda unidirectionally influenced the public agenda in terms of government policy attributes; and (3) the government and public agendas reciprocally influenced each other in terms of economic attributes. This study contributed to the existing literature by examining agenda-setting dynamics in a city closure event during the COVID-19 epidemic. It also extended existing methods by modeling implicit relationships between attributes in the public and government agendas.

• Asia pacific journal of information systems
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• v.32 no.1
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• pp.51-69
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• 2022

This study examines how consumers' intention to use a curbside pickup responds to the COVID-19 vaccination rates. With our first survey conducted in March 2021, we find that a low (high) vaccination rate is associated with consumers' high (low) intention to maintain contact avoidance and their high (low) anticipation for shipping delays. Heightened contact avoidance and anticipation for shipping delays may encourage consumers to use a curbside pickup. Our results also show that when a product is needed immediately, and a consumer expects shipping delays, s/he is more likely to use a curbside pickup. However, with our second survey conducted in November 2021, we find heterogeneous consumer responses to the vaccination rates. Specifically, consumers' political affiliation moderates the relationship between the vaccination rates and their intention to maintain contact avoidance. The association between the vaccination rates and the anticipation for shipping delays is also weakened compared to March 2021. Our empirical results illustrate how consumers' intention to use a curbside pickup emerges and changes amid the COVID-19 pandemic.

• Journal of the Korean Regional Science Association
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• v.40 no.1
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• pp.19-35
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• 2024

This research aims to compare and analyze changes in local physical environmental factors affecting mental health before and after the occurrence of COVID-19. The research question is: "Did the influence of environmental factors affecting mental health change after the emergence of the COVID-19 pandemic?" To examine the research question, the study considered the year 2019, right before COVID-19, and the year 2020, the year when COVID-19 occurred, as the temporal scope of the research. For the empirical analysis, we used multilevel logistic analysis was conducted using data from the Community Health Survey for each year and the National Statistical Office (KOSIS). The results can be summarized as follows: After the occurrence of COVID-19, physical environmental factors showed stronger associations with mental health compared to before the emergence of COVID-19. Specifically, it was found that park area per thousand people and the proportion of pedestrian-only road areas were further associated with a decrease in depression. Based on these findings, this study suggests the need for improving and constructing the physical environment in local communities for preventing mental health issues during disaster situations such as COVID-19.

• Journal of the Korean Society of Food Culture
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• v.38 no.6
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• pp.392-401
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• 2023

This study aimed to investigate the dietary changes among adults living alone during the COVID-19 pandemic in the Republic of Korea. An online survey was conducted to examine dietary changes before (in 2019) and during (in 2021) the pandemic. The data from 337 adults living alone who responded to the survey were used for analysis. The proportion of the respondents reporting frequent food consumption at convenience stores (≥3 times/week) increased during the pandemic (p=0.024), and the proportion of those frequently eating ready-to-eat and ready-to-cook food (≥3 times/week) was more than doubled (p<0.001). Additionally, the proportion of those frequently consuming delivered food (≥3 times/week) increased by 2.5 times (p<0.001). In conclusion, the dietary habits of adults living alone changed significantly during the COVID-19 pandemic, which may have a negative impact on their health. Therefore, the development of customized nutrition management programs to improve the dietary habits of adults living alone during emergencies like a pandemic is deemed necessary. This study can serve as a foundation for understanding the dietary changes of adults living alone in prolonged crisis.

• Journal of the Korea Institute of Construction Safety
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• v.4 no.1
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• pp.1-8
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• 2021

COVID-19, which is currently in vogue, is a pandemic with the largest number of deaths since the establishment of the "World Health Organization". It is also expected to have a significant impact on countless construction projects. After COVID-19 hit the construction industry, the risk that they needed to cover, decreased every year. However, the prolonged COVID-19 increased the risks of air delays, material supply, and economic losses. The exact measurements will be needed to be identified and the risks of the current construction projects must have a mitigated risk with a greater proportion. Therefore, the purpose of this study is to analyze and identify the risks that have influenced construction projects to the domestic construction companies due to COVID-19. Based on the risks of the previous construction projects, risk case studies, and risks related to COVID-19, are extracted through surveys, weights. Each risk factor are calculated based on the AHP analysis technique. Thus, it is expected that the results of the risk research on construction projects will change due to COVID-19. It will be presented to cope with the current situation and later pandemic situations.

• Women's Health Nursing
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• v.26 no.2
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• pp.106-108
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• 2020

• ETRI Journal
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• v.46 no.2
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• pp.290-306
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• 2024

To treat the novel COronaVIrus Disease (COVID), comparatively fewer medicines have been approved. Due to the global pandemic status of COVID, several medicines are being developed to treat patients. The modern COVID medicines development process has various challenges, including predicting and detecting hazardous COVID medicine responses. Moreover, correctly predicting harmful COVID medicine reactions is essential for health safety. Significant developments in computational models in medicine development can make it possible to identify adverse COVID medicine reactions. Since the beginning of the COVID pandemic, there has been significant demand for developing COVID medicines. Therefore, this paper presents the transferlearning methodology and a multilabel convolutional neural network for COVID (MLCNN-COV) medicines development model to identify negative responses of COVID medicines. For analysis, a framework is proposed with five multilabel transfer-learning models, namely, MobileNetv2, ResNet50, VGG19, DenseNet201, and Inceptionv3, and an MLCNN-COV model is designed with an image augmentation (IA) technique and validated through experiments on the image of three-dimensional chemical conformer of 17 number of COVID medicines. The RGB color channel is utilized to represent the feature of the image, and image features are extracted by employing the Convolution2D and MaxPooling2D layer. The findings of the current MLCNN-COV are promising, and it can identify individual adverse reactions of medicines, with the accuracy ranging from 88.24% to 100%, which outperformed the transfer-learning model's performance. It shows that three-dimensional conformers adequately identify negative COVID medicine responses.