后大流行病时代远程办公和远程购物偏好建模

Shivam Khaddar, Mahmudur Rahman Fatmi
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引用次数: 0

摘要

COVID-19 减灾措施引发了采用远程购物和远程办公活动的急剧增加。然而,还需要了解过去的频率和经验会在多大程度上影响大流行后的远程活动行为。此外,远程购物和远程办公是相互关联的,在大流行后的世界里,它们之间可能存在某种关系。本研究采用多变量有序概率(MVOP)模型,调查了大流行后人们对网上购物、网上订餐和在家办公的偏好。数据来自对加拿大中部奥肯那根地区进行的网络调查。模型结果证实了影响远程办公和远程购物选择的非观测因素的存在。从内生性来看,大流行后在家工作对网上购物产生了积极影响。然而,大流行后网上订餐的结果却不尽相同。模型结果还证实了过去的远程活动频率和经验对大流行后偏好的重要影响。总之,研究结果为疫情过后的活动和旅行模式提供了重要的启示,可用于制定有力的政策。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modeling Telecommuting and Teleshopping Preferences in the Post-Pandemic Era
COVID-19 mitigation measures triggered a sharp increase in the adoption of teleshopping and telecommuting activities. However, there is a need to understand the extent to which past frequencies and experiences will affect post-pandemic teleactivity behavior. Moreover, teleshopping and telecommuting are interconnected, and a relationship may exist between them in the post-pandemic world. This study investigates post-pandemic preferences toward online grocery shopping, online food ordering, and working from home by using a multivariate ordered probit (MVOP) model. The data come from a web-based survey conducted for the Central Okanagan region of Canada. Model results confirm the presence of unobserved factors influencing telecommuting and teleshopping choices. Looking at endogeneity, working from home after the pandemic revealed a positive effect on online grocery shopping. However, results were not the same for post-pandemic online food ordering. Model results also confirm the significant impact of past teleactivity frequencies and experiences on post-pandemic preferences. Overall, the findings provide important insights into post-pandemic activity and travel patterns which can be used for robust policymaking.
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