Panic buying emerged as a significant phenomenon during the COVID-19 pandemic.This study draws on the scarcity principle, crowd psychology and contagion theory to investigate the antecedents and consequences of panic buying. The antecedents included in this study are government measures, media and peer influence and the fear of missing out. The consequences are founded on a sense of security and guilt.Retailer intervention is included as a moderator to the proposed main effects. Data were collected from 341 consumers who engaged in panic buying and were residents of the United States and Australia during the COVID-19 pandemic. Structural equation modelling was employed to test the proposed model. The results show that the proposed antecedents (except fear of missing out) were significantly related to panic buying, which in turn had a significant influence on panic buyers' psychological outcomes. The moderating effects of retailer intervention varied across different product categories. Discussion and implications of these findings are provided for policy makers, customers and practitioners.

This study investigates how technology acceptance model (TAM) factors and social factors determine customer purchase intention. Although previous studies on mobile apps have investigated TAM, critical social factors have been neglected, thus, reinforcing the need to study the latter's contribution to consumer purchase intention. Accordingly, this study examines social influence and peer influence in the TAM and collects 777 questionnaires from Digikala app users. Data were then analysed using structural equation modelling by AMOS. The findings indicate that perceived usefulness does not have a significant effect on attitude towards mobile app use. However, perceived ease of use, social and peer influence, and intention to purchase were shown to exhibit positive effects on attitude in this regard. The results also demonstrate that attitude towards mobile app use is a full mediator on three paths of the model. Finally, moderation analysis showed that only age has a mediating effect on the path from perceived usefulness to attitude towards mobile app use.

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