Panic station: Consumer sentiment analysis of the evolving panic buying during the COVID-19 pandemic

The COVID-19 pandemic led to changes in consumer behavior, where social commerce played a relevant role. Through the theory of protection motivation as a theoretical basis, this chaptersps purpose is the analysis of consumer sentiment in the evolution of panic buying for which the authors identified the trend themes and some important influencers during the contingency. The results show that the leaders with the highest positive sentiment levels were the President of Taiwan and the Prime Minister of Australia. WHO was the influential account with the most negative sentiment during the pandemic. Relative to trending topics, the dataset with the highest positive sentiment is related to cleaning and disinfection products. The face mask data set had the highest negative sentiment and is the trending topic with the highest polarity. The trending topic on health foods, vitamins, and food supplements had the lowest polarity © 2022 IGI Global. All rights reserved.

BURNOUT AND ONLINE EDUCATION: ADAPTATION AND VALIDATION OF SCALE DURING PANDEMIC

During the COVID-19 pandemic, online education represented a serious alternative to continuing working life in higher education institutions (HEls). Teachers around the world embraced a new role, adopting and using a wide range of technological and virtual tools to continue performing their activities and with the aim to interact with students and to continue teaching. For this reason, research related to seek and identify factors for the teachers' well-being is essential for educational leaders. Regarding these ideas, this paper aims to test the construct validity of a Mexican version of the Maslach Burnout Inventory-Educators Survey (MBI-ES) of Maslach et al. (1997), adapted to online education. Participants consisted of 406 Mexican university teachers who emergently switched from traditional to online educational practices during the SARS-CoV-2 virus outbreak. In order to test the factor structure of three alternative models based on Szigeti et al. (2016), the authors performed exploratory and confirmatory factor analyses (Ferrando & Lorenzo-Seva, 2018). Results showed that the model with three domain factors has the best fit. Besides, our findings show that the three-factor structure of the Mexican adaptation of MBI-ES is valid and reliable for the analysis of online education because the loading of all factors was representative.