The COVID-19 pandemic and induced economic and social constraints have significantly impacted the confidence of both consumers and businesses. Despite that, comprehensive studies of the impact of the COVID-19 pandemic on the consumer and business sentiment are still lacking. Thus, in our research we aim to identify consumer and business confidence indicators’ reaction to the spread of the COVID-19 pandemic in the Eurozone, the United States, and China. For this purpose, we used the method of correlation–regression analysis. We chose the consumer-confidence index, manufacturing purchasing manager’s index, and services purchasing manager’s index as dependent variables; and the number of confirmed cases of COVID-19, the number of deaths caused by COVID-19, and the mortality rate of COVID-19 infections as independent variables. The results showed a relatively rapid and robust effect of COVID-19 in the short period, but longer-term results depended on the region and were not so unambiguous: in the case of the Eurozone, the spread of COVID-19 pandemic did not affect the consumer-confidence index (CCI) or, in the cases of the United States and China, affected this index negatively; the purchasing managers’ index (PMI) in the services sector was significantly negatively affected by the mortality risk of COVID-19 infection; and the impact on the purchasing managers’ index (PMI) in the manufacturing industry appeared to be mixed.

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Online education is a network-based approach to teaching. It is a method of content dissemination and rapid learning through the application of UGC and Internet technology.Compared with traditional school education, online learning can obtain more resources, more autonomy, and no longer limited time and space for learning.Through the questionnaire, this paper finds that learners in the online education model still have some shortcomings in the learning process.For example, the learning process is not durable.Therefore, this paper uses neural network classification algorithm to analyze the related factors that affect the learning behavior of online education students.And propose corresponding control strategies for different influencing factors.By constructing a learning process control strategy model for large educational data, to help learners improve their learning efficiency, help the online education model break through the bottleneck, the online education industry has maintained rapid development.Finally, through the comparative analysis of the improved online education model and the traditional online education model, finding an improved online education model can better improve students' interest in learning.Provided a reference for the development of online education,It also provides a reference for the transformation and upgrading of traditional education to online education.

In recent years, the concept of sustainable consumption behavior (SCB) is largely introduced and changed continuously to be discussed with industries such as energy sector, agriculture, transportation, sharing economy, and tourism. However, the study of sustainable consumption behavior in the online education industry (SCBOEI) remains a research gap. Thus, this paper aims to identify the significance of sustainable consumption behavior and theoretically conceptualize SCBOEI. This study employs content and text analysis to reconceptualize the major theories that contribute to the research of SCB. The findings in this study show that SCBOEI is contributed of great significance to promote sustainable development. In addition, this study introduces a model of SCBOEI, in which the consumer value theory, social exchange theory, and planned behavior theory are integrated. Additionally, this paper suggests that value, environmental attitude, identity, consumer engagement, and contextual factors (government behavior, market conditions, and environmental education) are highly important to extend the research on SCBOEI. In conclusion, this study strongly recommends that SCB research shall be directed to the online education industry. Furthermore, future studies shall emphasize the empirical effects of psychological factors, activity factors, and contextual factors for SCBOEI to find the correlation.

Higher education for sustainable development (HESD) in the Covid-19 pandemic faces different challenges. Empirically few studies to date have introduced much on the digitalization of higher education for sustainable development. This study aims to explore and explain the digitalization of HESD from different attitudes and to build linkages of the digitalization in HESD. Furthermore, the study makes content analysis where 1,200 tweets on digitalization in higher education for sustainable development are collected from Twitter, and 19 documents have further categorized information data via NVivo. In addition, 22 students and 9 instructors were invited for a semi-structured interview to further supplement this study and confirm its findings. This study finds that attitudes towards digitalization in the study area can be divided into three correlated attitude layers. Teaching attitudes and educational attitudes are the first level, and the second level is the digital platform attitude, technology use attitude, and resource attitude. Furthermore, network attitude, service attitude, and development attitude are the third level. Thus, through the analysis, this study suggests higher education institutions should make improvements in digitalized teaching, education quality via innovation, technological development, resources use, and development via creating a better digital platform or environment is essential for genuinely promoting the HESD.