By using 530 responses from an online questionnaire, this study aims to investigate the transition from physical to online shopping alternatives during the first wave of the COVID-19 pandemic period at the individual level. The focus areas of the study are Sweden and Italy, two European countries that implemented contrasting prevention measures. This study analyses the impacts of the pandemic to the shopping behaviour and identifies, among the respondents, who have changed the behaviour the most, how respondents have adopted different shopping strategies, what the main differences between Italian and Swedish responses are and the influence of population density on the behavioural change. Multivariate statistical analyses, including linear and binary logistic regressions and multinomial logit models were used to analyse the dataset. The results confirm the differences between Italy and Sweden in terms of social distancing measures, social structures and technology readiness. Moreover, the socio-demographic and household structures of the respondents were found instrumental in influencing the amount and the direction of change in shopping behaviour during the first wave of the pandemic period. The output of this study highlights the impact that contrasting policies have on citizens, and also the importance of having policies that are adaptable to different situations.
翻译:这项研究利用网上问卷530份答复,旨在调查个人一级在COVID-19大流行病第一波期间从实物购买到网上购物的过渡情况,研究的重点领域是瑞典和意大利,这两个欧洲国家采取了对比性预防措施,分析该大流行病对购物行为的影响,并查明答卷人中哪些人最能改变行为,答卷人如何采取不同的购物战略,意大利和瑞典的对策的主要区别是什么,以及人口密度对行为变化的影响。利用多种变量统计分析,包括线性和双元物流回归和多元逻辑模型,分析数据集。研究结果证实意大利和瑞典在社会偏移措施、社会结构和技术准备方面的差异。此外,答卷人的社会-人口和家庭结构被认为有助于在大流行病第一波期间影响购物行为变化的数量和方向。这项研究的结果突出了对比政策对公民的影响,以及使政策适应不同情况的重要性。