COVID-19 and its influence on the propensity to work from home between March 2020 and June 2021

IF 2.4 Q3 TRANSPORTATION Case Studies on Transport Policy Pub Date : 2024-11-02 DOI:10.1016/j.cstp.2024.101319
{"title":"COVID-19 and its influence on the propensity to work from home between March 2020 and June 2021","authors":"","doi":"10.1016/j.cstp.2024.101319","DOIUrl":null,"url":null,"abstract":"<div><div>The COVID-19 pandemic has had a significant impact on the world of work. With growing support and preference revelation from both employees and employers, we might anticipate a settling in of working from home around one to two days a week, varying by occupation depending on the ability to work remotely. Although there are a growing number of studies that have analysed data collected at a point in time or over time during the pandemic, there is now sufficient time and data to treat the waves of collected data as a repeated cross section that is jointly modelled to assess systematically, the changing roles of various influences on the proportion of working days that are worked from home. This paper estimates random effects regression models for the Greater Sydney Metropolitan Area and South-East Queensland over four waves of data collected in 2020 and 2021, where this last one represents a period with almost full vaccinations and minimum restrictions (i.e., ‘new normal’). By jointly estimating four waves of data within a single modelling framework, we are able to track the changing roles of the influences found to be statistically significant across the waves. The elasticity outputs reveal how these influences impact on the propensity to WFH, giving clues on whether we were starting to see a stabilisation of WFH activity mid-way in the pandemic period that can be reflective of a ‘new normal’. Results are very supportive of employees’ preferences, suggesting that those that feel the same or more productive when working from home relative to going to the office, are more likely to working from home relative to those that feel less productive.</div></div>","PeriodicalId":46989,"journal":{"name":"Case Studies on Transport Policy","volume":null,"pages":null},"PeriodicalIF":2.4000,"publicationDate":"2024-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Case Studies on Transport Policy","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2213624X24001743","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"TRANSPORTATION","Score":null,"Total":0}
引用次数: 0

Abstract

The COVID-19 pandemic has had a significant impact on the world of work. With growing support and preference revelation from both employees and employers, we might anticipate a settling in of working from home around one to two days a week, varying by occupation depending on the ability to work remotely. Although there are a growing number of studies that have analysed data collected at a point in time or over time during the pandemic, there is now sufficient time and data to treat the waves of collected data as a repeated cross section that is jointly modelled to assess systematically, the changing roles of various influences on the proportion of working days that are worked from home. This paper estimates random effects regression models for the Greater Sydney Metropolitan Area and South-East Queensland over four waves of data collected in 2020 and 2021, where this last one represents a period with almost full vaccinations and minimum restrictions (i.e., ‘new normal’). By jointly estimating four waves of data within a single modelling framework, we are able to track the changing roles of the influences found to be statistically significant across the waves. The elasticity outputs reveal how these influences impact on the propensity to WFH, giving clues on whether we were starting to see a stabilisation of WFH activity mid-way in the pandemic period that can be reflective of a ‘new normal’. Results are very supportive of employees’ preferences, suggesting that those that feel the same or more productive when working from home relative to going to the office, are more likely to working from home relative to those that feel less productive.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
COVID-19 及其对 2020 年 3 月至 2021 年 6 月期间在家工作倾向的影响
COVID-19 大流行对工作领域产生了重大影响。随着雇员和雇主对在家工作的支持和偏好不断增加,我们可以预见,在家工作将逐渐成为一种趋势,每周大约有一到两天的时间在家工作,不同职业的情况会有所不同,这取决于远程工作的能力。尽管有越来越多的研究分析了在大流行期间某一时点或一段时间内收集到的数据,但现在有足够的时间和数据将收集到的数据作为一个重复的横截面来处理,并对其进行联合建模,以系统地评估各种影响因素对在家工作的工作日比例所起的不断变化的作用。本文估计了大悉尼都市区和昆士兰东南部在 2020 年和 2021 年收集的四波数据的随机效应回归模型,其中最后一波数据代表了几乎全面接种疫苗和最低限制(即 "新常态")的时期。通过在单一建模框架内对四波数据进行联合估算,我们能够跟踪在统计上具有显著意义的影响因素在各波数据中的作用变化。弹性输出结果揭示了这些影响因素对全职工作倾向的影响,为我们提供了线索,说明我们是否开始看到全职工作活动在大流行病中期趋于稳定,从而反映出一种 "新常态"。研究结果非常支持员工的偏好,表明那些在家工作时感觉与去办公室工作效率相同或更高的员工,相对于那些感觉工作效率较低的员工,更倾向于在家工作。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
5.00
自引率
12.00%
发文量
222
期刊最新文献
Fuelling the pandemic: The impact of fuel prices on COVID-19 COVID-19 and its influence on the propensity to work from home between March 2020 and June 2021 Simulation modeling of passengers flow at airport terminals to reduce delay and enhance level of service Optimization of transport sustainability index to conserve resources: A case study of Delhi, India The effect of airline service quality, perceived value, emotional attachment, and brand loyalty on passengers’ willingness to pay: The moderating role of airline origin
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1