从小隔间到沙发的转变

A. PadmavathiSivakumar, S. Sivasubramaniam
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引用次数: 0

摘要

2020年6月进行了一项横断面在线调查,以了解在家工作的人(WFH)的看法。使用谷歌表格向不同年龄段、不同行业和不同地区的员工发送了一份调查问卷。问题包括舒适度、压力、工作和家庭时间的变化、在线会议、WFH的干扰因素、最方便和最令人恼火的因素、社会孤立感和缺少工作团队活动。在72名受访者中,79%是男性,60%在40岁以上,三分之二担任管理职务。1 / 2的人使用WFH感到舒适和放松。超过60%的人表示工作时间增加了。对于那些工作时间减少的人来说,家庭时间增加了。三分之一的人认为不用出行是最方便的因素,而35%的人认为“工作时间增加”是最令人恼火的因素。缺乏适当的基础设施、隐私、家庭责任和心态是主要的干扰因素。不同年龄、性别、子女数量和工作水平对舒适-压力因素的影响不显著。工作时间的变化、家庭时间的变化、基础设施、隐私、工作与家庭责任之间的平衡以及缺少团队活动、社会孤立是影响舒适度和压力的重要因素。如果有适当的基础设施,更多的隐私和规范的工作时间,WFH可以更舒适和无压力。更大样本量的研究将提供跨因素的可比数据。对WFH的员工进行组织层面的调查可以揭示更多的见解,以帮助决定削减成本、提高产出质量和调整薪酬结构。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Shift from Cubicles to Couches
A cross-sectional, online survey was conducted in June 2020 to understand the perceptions of those who work from home (WFH). A questionnaire using Google Forms was sent across to employees of different age groups, job sectors and of various places. Queries included comfort, stress, change in work and family hours, online meetings, disrupting, most convenient and irritating factors of WFH, feeling of social isolation and missing of work-team activities. Of 72 respondents, 79% were men, 60% were above 40 years and two-thirds were in supervisory role. One in two are comfortable and relaxed with WFH. More than 60% reported increase in work hours. Family time has increased to all those who had working hours reduced. No-travel was the most convenient factor for one-third, while ‘increased work hours’ was the most irritating factor for 35%. Lack of proper infrastructure, privacy, family responsibilities and mindset were the main disruptions. Comfort-Stress factors did not vary significantly with age, gender, number of children and job level.  Change in work hours, change in family time, infrastructure, privacy, balance between work-home responsibilities in addition to missing team activities, social isolation were the factors of significance for comfort and stress. Given proper infrastructure, more privacy and regulated working hours, WFH can be more comfortable and stress-free. A study with larger sample size would provide comparable data across factors. Conducting organizational level surveys across its employees in WFH could reveal more insights to help decide on cost cutting, output quality and revised compensation structures.
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