Apart from the health aspects and the high death toll, the COVID-19 pandemic has, since its official recognition in March 2020 caused may social and economic problems. It has also led to many environmental ones. For instance, the lockdowns have led to higher levels of consumption of packaged products, and of take-away food. This paper reports on an international study on the increased consumption and subsequent changes in the amounts of waste produced since the COVID-19 pandemic. The results show that 45-48% of the respondents observed an increased consumption of packed food, fresh food, and food delivery. One of the main reasons for the increased waste generation during the lockdown was the fact that people have spent more time at home. In addition, increases of 43% and 53% in food waste and plastic packaging. Drawing from comparisons on the amount of domestic waste produced before and during the pandemic, the findings suggest that some specific types of municipal waste have visibly increased, putting additional pressure on waste management systems. This characterises one of non-intended effects of the COVID-19 pandemic. The results from this study provide useful insights to city administrations and municipal utilities on consumption patterns during emergency situations. This, in turn, may support more systemic and strategic measures to be taken, so as to curtail the increase of household waste during pandemic situations.

Purpose By using a technology acceptance model (TAM) on survey results collected from two member schools of a Vietnamese educational institution, this study aims to uncover the key factors that affect students’ acceptance of e-learning during the Covid-19 period. Design/methodology/approach A bilingual questionnaire in English and Vietnamese was delivered. It was pre-tested on 30 participants before it was finalized. The authors first reviewed the measurement model and made adjustments to the theoretical TAM model. Then the adjusted TAM was used to investigate the relationships of the constructs in the model. Findings The results of the structural model show that computer self-efficacy (CSE) has a positive impact on perceived ease of use (PEOU). There is also a positive relationship between system interactivity (SI) and PEOU. Surprisingly, the authors documented that PEOU has no significant impact on students’ attitudes (ATT). The results show that SI can moderately affect ATT. Finally, it is noted that the social factor (SF) directly affects the student’s attitudes (ATT). Research/limitations/implications This study contains three limitations. First, as this study only focuses on undergraduate programs, readers should be careful in applying the findings and/or implications of this study to other education levels such as K-12, vocational training and postgraduate programs. Second, the findings are generated within the context of one type of e-learning, conducted via Google Meet. Therefore, future research is needed to provide further validation and comparison across other forms of e-learning. Finally, to further prevent the common bias problem, future research should use both five-point and seven-point Likert scales for the response options in the survey, as well as use negatively worded items. This will help prevent respondents from providing similar answers to all questions. Originality/value This study has both theoretical and practical implications. From a theoretical perspective, the study can provide a solid framework for similar studies. From a practical perspective, this study offers implications for governments and universities in the process of adopting e-learning, given that the Covid-19 pandemic is currently in its second and more dangerous wave.

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