Skip to main content
CenXiv.org
This website is in trial operation, support us!
We gratefully acknowledge support from all contributors.
Contribute
Donate
cenxiv logo > cs > arXiv:2501.02418v1

Help | Advanced Search

Computer Science > Computers and Society

arXiv:2501.02418v1 (cs)
[Submitted on 5 Jan 2025 ]

Title: Experiences and attitudes toward working remotely from home in a time of pandemic: A snapshot from a New Zealand-based online survey

Title: 在家远程工作的经验和态度:来自新西兰在线调查的快照

Authors:Edgar Pacheco
Abstract: Due to the Covid-19 pandemic, employees from around the world were compelled to work remotely from home and, in many cases, without much preparation. A substantial body of international research has been conducted on the experiences and attitudes of remote workers as well as the implications of this phenomenon for organisations. While New Zealand research evidence is growing, most existing inquiry is qualitative. This paper provides a quantitative snapshot of remote working using survey data from participants whose jobs can be done from home (n=415). Data collection took place when the country was facing Covid-related measures. Based on descriptive and inferential statistics, it was found that, not only was remote working common, but that hybrid working arrangements were also more prevalent. While half of the participants wanted to work from home more frequently, age, but not gender, was significantly associated with this preference. Another relevant finding is that perceived change in the workplace culture due to flexible work arrangements was significantly associated with preference for working remotely more often. Finally, the most common perceived barriers to working from home were slow internet speed, the need to attend face-to-face meetings, and limited space at home to work. The implications of the results are discussed and some directions for future research are proposed.
Abstract: 由于新冠疫情,全球员工被迫在家远程工作,在许多情况下,准备工作不足。 大量国际研究已经针对远程工作者的经历和态度以及这一现象对组织的影响进行了研究。 虽然新西兰的研究证据正在增加,但现有的大部分研究是定性的。 本文使用来自可以居家工作的参与者(n=415)的调查数据,提供了一个定量的远程工作快照。 数据收集发生在该国面临与新冠相关的措施期间。 基于描述性和推断性统计,发现不仅远程工作很普遍,而且混合工作安排也更为常见。 尽管一半的参与者希望更频繁地在家工作,但年龄而非性别与这种偏好显著相关。 另一个相关发现是,由于灵活的工作安排导致的工作场所文化变化的感知与更频繁地远程工作的偏好显著相关。 最后,最常见的在家工作的障碍是网络速度慢、需要参加面对面会议以及家中可用于工作的空间有限。 讨论了结果的含义,并提出了未来研究的一些方向。
Comments: 20 pages, 6 tables, 1 figure
Subjects: Computers and Society (cs.CY)
Cite as: arXiv:2501.02418 [cs.CY]
  (or arXiv:2501.02418v1 [cs.CY] for this version)
  https://doi.org/10.48550/arXiv.2501.02418
arXiv-issued DOI via DataCite
Journal reference: New Zealand Journal of Employment Relations, 2024, volume 48, issue 1
Related DOI: https://doi.org/10.24135/nzjer.v48i1.163
DOI(s) linking to related resources

Submission history

From: Edgar Pacheco Dr [view email]
[v1] Sun, 5 Jan 2025 01:56:59 UTC (382 KB)
Full-text links:

Access Paper:

    View a PDF of the paper titled
  • View Chinese PDF
  • View PDF
license icon view license
Current browse context:
cs.CY
< prev   |   next >
new | recent | 2025-01
Change to browse by:
cs

References & Citations

  • NASA ADS
  • Google Scholar
  • Semantic Scholar
a export BibTeX citation Loading...

BibTeX formatted citation

×
Data provided by:

Bookmark

BibSonomy logo Reddit logo

Bibliographic and Citation Tools

Bibliographic Explorer (What is the Explorer?)
Connected Papers (What is Connected Papers?)
Litmaps (What is Litmaps?)
scite Smart Citations (What are Smart Citations?)

Code, Data and Media Associated with this Article

alphaXiv (What is alphaXiv?)
CatalyzeX Code Finder for Papers (What is CatalyzeX?)
DagsHub (What is DagsHub?)
Gotit.pub (What is GotitPub?)
Hugging Face (What is Huggingface?)
Papers with Code (What is Papers with Code?)
ScienceCast (What is ScienceCast?)

Demos

Replicate (What is Replicate?)
Hugging Face Spaces (What is Spaces?)
TXYZ.AI (What is TXYZ.AI?)

Recommenders and Search Tools

Influence Flower (What are Influence Flowers?)
CORE Recommender (What is CORE?)
IArxiv Recommender (What is IArxiv?)
  • Author
  • Venue
  • Institution
  • Topic

arXivLabs: experimental projects with community collaborators

arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website.

Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them.

Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.

Which authors of this paper are endorsers? | Disable MathJax (What is MathJax?)
  • About
  • Help
  • contact arXivClick here to contact arXiv Contact
  • subscribe to arXiv mailingsClick here to subscribe Subscribe
  • Copyright
  • Privacy Policy
  • Web Accessibility Assistance
  • arXiv Operational Status
    Get status notifications via email or slack

京ICP备2025123034号