远程工作频率失调调查

IF 7.6 1区 工程技术 Q1 TRANSPORTATION SCIENCE & TECHNOLOGY Transportation Research Part C-Emerging Technologies Pub Date : 2024-07-18 DOI:10.1016/j.trc.2024.104712
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引用次数: 0

摘要

大流行病引发的远程工作安排趋势如今仍在大多数工作领域盛行。但是,一些雇主最近又恢复了全员到办公室工作的制度,尽管他们的员工希望有这样的灵活性,但却不允许远程工作。与此同时,一些员工可能更喜欢在办公室工作,而不是根据办公室轮换计划和办公室缩编情况,雇主目前所能提供的工作日。要在员工和雇主对远程工作的偏好和看法之间找到和谐的平衡,这就提出了远程工作频率失调(TFD)的问题。本研究的目的就是调查这种由大流行病引发的 TFD。我们的研究数据来自于 2021 年秋季在全美范围内开展的 COVID 未来小组调查的第三波。调查包括员工现有远程工作频率(ETF)和理想远程工作频率(ITF)的相关信息。这两个维度作为社会经济和人口解释变量的函数被联合建模。这项研究的结果为如何最好地平衡员工和雇主对工作安排的偏好提供了重要启示。鉴于工作安排对通勤和非通勤出行的重要影响,我们的研究结果应有助于为土地利用和出行模型预测未来交通提供参考。
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An investigation of dissonance in telework frequency

The remote work arrangement trend engendered by the pandemic continues to be prevalent today in most work sectors. But some employers have reverted to an all in-person office workday system recently, with no allowance for remote work despite their employees’ desire for such flexibility. At the same time, some employees may prefer more office-based workdays than what their employer is able to offer today based on office rotation schemes and office downsizing. The challenge to find a harmonious balance between employee and employer preferences and perceptions regarding telework raises the issue of telework frequency dissonance (TFD). The purpose of this study is to investigate this pandemic-induced TFD. The data for our study is derived from the third wave of the COVID Future Panel Survey which was deployed across the United States in the Fall of 2021. The survey includes information regarding employees' existing telework frequency (ETF) and ideal telework frequency (ITF). These two dimensions are jointly modeled as a function of socioeconomic and demographic explanatory variables. The findings from this study provide important insights regarding how best to balance employee and employer preferences regarding work arrangements. Given the important effects of work arrangements on commute and non-commute travel, the findings from our study should help inform land use and travel models regarding predicting our transportation future.

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来源期刊
CiteScore
15.80
自引率
12.00%
发文量
332
审稿时长
64 days
期刊介绍: Transportation Research: Part C (TR_C) is dedicated to showcasing high-quality, scholarly research that delves into the development, applications, and implications of transportation systems and emerging technologies. Our focus lies not solely on individual technologies, but rather on their broader implications for the planning, design, operation, control, maintenance, and rehabilitation of transportation systems, services, and components. In essence, the intellectual core of the journal revolves around the transportation aspect rather than the technology itself. We actively encourage the integration of quantitative methods from diverse fields such as operations research, control systems, complex networks, computer science, and artificial intelligence. Join us in exploring the intersection of transportation systems and emerging technologies to drive innovation and progress in the field.
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