• International journal of advanced smart convergence
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• v.11 no.3
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• pp.157-161
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• 2022

The coffee industry continues to grow steadily due to the spread of coffee and changes in consumer awareness. Once upon a time, instant coffee was common, People today have distinct personal preferences As consumption needs for favorite foods are segmented, ways to enjoy coffee are diversifying. This study was conducted through analysis of consumption changes for specialty coffee as a changed issue of COVID-19 The goal is to present a vision for the future of the specialty coffee industry. As a research method, text mining through big data analysis was conducted to extract and analyze factors affecting the change in specialty coffee consumption. As a result of the study, we judged that specialty coffee is consumed by using a drip tool that allows you to easily enjoy coffee at home after Corona 19. Therefore, hand drips used in home cafes were found to play a central role in the change in specialty coffee consumption.

• Korean Journal of Culture and Social Issue
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• v.27 no.4
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• pp.629-659
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• 2021

This study compared the influences of Korean psycho-social experiences on emotional-distress(stress, depression, anxiety, anger) of Koreans between two-periods during COVID-19. First, an online survey was conducted among 600 participants between April 13, 2020 and 21, while WHO had declared the pandemic, and Daegu-Gyungbuk were declared as a special-disaster area. Second, an online survey was conducted among 482 participants out of 600 study participants from the first study during August 21 to September 2, while COVID-19 re-spreaded around the world, and total confirmed cases were over 1,000 for a week in Seoul-Gyeonggi province. Hierarchical-regression analysis was used to determine the influence of personal characteristics, fear and social constraints, relationship conflict and income-decreasing factors on stress, depression, anxiety, anger in the two-time points. Results suggest that gender, quality-of-life, 'frequent information-checking about COVID-19', 'fear of unpredictability' and 'difficulties on hospital treatment access' predicted distress(stress, depression, anxiety, anger) at both Time1 and 2. 'Difficulties with official schedule' predicted distress at Time 1, and age, vulnerability to infection and difficulties with personal schedules predicted distress(stress, depression, anxiety, anger) at Time 2. Based on the reseults, implications and recommendations were presented.

• International Journal of Advanced Culture Technology
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• v.10 no.1
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• pp.204-210
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• 2022

From the 1970s to the present, the number of new infectious diseases such as SARS, Ebola virus, and MERS has steadily increased. The new infectious disease, COVID-19, which began in Wuhan, Hubei Province, China, has pushed the world into a pandemic era. As a result, Countries imposed restrictions on entry to foreign countries due to concerns over the spread of COVID-19, which led to a decrease in the movement of tourists. Due to the restriction of travel, keywords such as "Corona blue" have soared and depression has increased. Therefore, this study aims to analyze the stress meaning network of the COVID-19 era to derive keywords and come up with a plan for a travel-related platform of the Post-COVID 19 era. This study conducted analysis of travel and stress caused by COVID-19 using TEXTOM, a big data analysis tool, and conducted semantic network analysis using UCINET6. We also conducted a CONCOR analysis to classify keywords for clustering of words with similarities. However, since we have collected travel and stress-oriented data from the start to the present, we need to increase the number of analysis data and analyze more data in the future.

• Journal of Information Technology Services
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• v.20 no.5
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• pp.43-54
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• 2021

Currently, citizens' expectations and concerns on utilizing artificial intelligence (AI) technologies in the public sector are widening with the rapid digital transformation. Furthermore the level of global acceptance on the AI and other intelligent digital technologies is augmenting with the needs of non-face-to-face types of public services more than ever due to the unforeseen and unpredictable pandemic, COVID-19. Thus, this study intended to empirically examine what policy directions for the public should be considered to provide well-designed services as well as to promote the evidence-based public policies in terms of Al speaker technology as a non-contact smart city service. Based on the survey of senior citizens' perceptions on AI (AI Speaker technology), this study conducted structure equation modeling analyses to identify whether technology acceptance models on to the varied dependent variables such as actual use, perception, attitude, and brand royalty. The Results of the empirical analyses showed that AI increased the positive level of citizens' perception, attitude and brand royalty on non-contact public services (smart city services) which are becoming more crucial for developing AI oriented government and providing intelligent public services effectively. In addition, theoretical and practical implications are discussed for understanding the changes of public service in the post-corona.

• International Journal of Computer Science & Network Security
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• v.22 no.1
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• pp.225-233
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• 2022

The recent outbreak of corona virus (COVID-19) infectious disease had made its forecasting critical cornerstones in most scientific studies. This study adopts a machine learning based time series model - Auto Regressive Integrated Moving Average (ARIMA) model to forecast COVID-19 confirmed cases in Botswana over 60 days period. Findings of the study show that COVID-19 confirmed cases in Botswana are steadily rising in a steep upward trend with random fluctuations. This trend can also be described effectively using an additive model when scrutinized in Seasonal Trend Decomposition method by Loess. In selecting the best fit ARIMA model, a Grid Search Algorithm was developed with python language and was used to optimize an Akaike Information Criterion (AIC) metric. The best fit ARIMA model was determined at ARIMA (5, 1, 1), which depicted the least AIC score of 3885.091. Results of the study proved that ARIMA model can be useful in generating reliable and volatile forecasts that can used to guide on understanding of the future spread of infectious diseases or pandemics. Most significantly, findings of the study are expected to raise social awareness to disease monitoring institutions and government regulatory bodies where it can be used to support strategic health decisions and initiate policy improvement for better management of the COVID-19 pandemic.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.30 no.3
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• pp.65-75
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• 2022

This study tried to confirm whether the public's negative emotions such as fear and anxiety about corona virus infection caused by the spatial nature of the aircraft were alleviated due to factors of in-flight services focusing on hygiene and quarantine and further had a positive effect on the formation of Rapport between cabin crews and passengers. We also investigated the impact on passengers' perceptions such as Reliability and Safety which can be viewed as a new measure and standard of customer satisfaction in the Pandemic era through Rapport. A survey was conducted online in December 2021 for passengers with experience in boarding aircraft after the COVID-19 outbreak, and a total of 211 responses were used for analysis. As a result of the analysis of the data, it was confirmed that aircraft in-flight service had a positive (+) effect on Rapport, and Rapport between passengers and cabin crews had a positive (+) effect on passenger Reliability and Safety.

• Journal of Christian Education in Korea
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• v.72
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• pp.7-24
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• 2022

Christian education for the world after COVID-19 needs to use rapid changes in the surrounding situation as an opportunity to overcome a new crisis so that the church can achieve its educational mission. If the biggest dilemma in the post-Corona era is that there is no authoritative educational prescription anywhere, the most reasonable option for church education in this situation is to emphasize and cultivate learners' ability to flexibly cope with rules that are completely different than before COVID-19. As a natural result of the crisis, Christian education needs to be more interested in the trend of social change in the pandemic era(glocalization, digital transformation, economic inequality, educational environment change, church crisis) and actively reflect its contents in education. In addition, while operating a mobile(or online) church school that combines offline and online, there is an urgent need for an innovative transition to a core church school where certain church schools and churches cooperate with each other, a church school that guarantees a safe learning space, and an ecological church school that is interested in education dealing with climate change and ecology.

• The Journal of Information Systems
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• v.29 no.4
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• pp.123-135
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• 2020

Purpose The purpose of this study is to investigate the development process and the effectiveness of the EISS (epidemiological investigation support system), which prevents the spread of infectious diseases like a novel corona virus disease, COVID-19. Design/methodology/approach This study identified the existing epidemiological support system for MERS through prior research and studied the case of the development of a newly developed epidemiological support system based on cloud computing infrastructure for COVID-19 through inter-ministerial collaboration in 2020. Findings The outbreak of COVID-19 drove the Korean Government began the development of the EISS with private companies. This system played a significant role in flattening the spread of infection during several waves in which the number of confirmed cases increased rapidly in Korea, However, we need to be careful in handling confirmed patients' private data affecting their privacy.

• Journal of Digital Convergence
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• v.20 no.4
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• pp.215-224
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• 2022

This study tried to examine the effect of cost asymmetry on food service companies and what characteristics affect such cost behavior. This study analyses cost behavior for cost of good sold, selling, general and administrative cost over the 2019-2020 period. Also, the rate of change in activity level was measured using change in sales. This study measures the behavior of cost using the research model of [1]. As a result of the analysis, it was found that food service companies exhibited cost asymmetric behavior as their sales level decreased. In addition, the cost asymmetric behavior has been strengthened since the corona virus, and the shorter the operating cycle. Lastly, the shorter the inventory holding period and the collection period of accounts receivable, which are components of the operating cycle, more strengthen asymmetric behavior of costs. These results seem to be meaningful in examining the cost structure and factors that may affect the structure for food service industry. This has approached the cost aspect of the situation faced by service food companies due to COVID-19, and it can be suggested that this pandemic can lead to cost reduction due to a decrease in corporate sales.

• Journal of Engineering Education Research
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• v.24 no.5
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• pp.53-64
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• 2021

The purpose of this study is to provide implications for designing and implementing non-face-to-face online classes at the College of Engineering in the post-corona era by analyzing the instructors' evaluations and experiences of non-face-to-face online classes operated in the COVID-19 pandemic. According to the overall evaluation results of non-face-to-face online classes from instructors at the College of Engineering, 'instructional design' was the highest among the five areas including instructional design, learning management, learning support, learning evaluation, and instructional outcomes. In addition, the effectiveness of non-face-to-face online experimental or practical classes was found to be relatively low. The results of this study imply that the instructors need to consider several instructional strategies such as active interaction with learners, clear explanation, and the use of technology in non-face-to-face online engineering classes.