基于VOSviewer的Web of Science,对远程工作研究进行了参考文献分析
1Library of Zhuhai Campus, Jinan University, Zhuhai, China.
Work (Reading, Mass.)
|September 24, 2023
概括
在COVID-19大流行期间,远程工作研究激增,研究重点关注福祉和工作与生活平衡. 这项分析突出了关键趋势,并呼吁全球的研究合作.
科学领域:
- 社会科学 社会科学 社会科学
- 心理学 心理学 心理学
- 企业管理 企业管理
背景情况:
- 随着COVID-19的流行,人们对远程工作的兴趣显著增加,以控制病毒和保持社交距离.
- 远程工作已成为现代工作环境的关键方面.
研究的目的:
- 对过去二十年 (2000-2023) 的远程工作研究进行全面的文献计量分析.
- 确定研究进展,新兴趋势和远程工作奖学金中的关键领域.
主要方法:
- 在多个引用索引 (SSCI,SCI扩展,A&HCI) 中进行了系统的搜索.
- 在2000年至2023年间发表的3,446份与远程工作相关的文件使用VOSviewer进行了分析.
- 共同引用,共同词和集群分析被用来绘制研究格局的地图.
主要成果:
- 在COVID-19大流行期间,远程工作研究产出大幅增加,2022年的出版物比2019年增加了15倍以上.
- 应用心理学,管理和商业是最常被研究的领域.
- 关键的研究主题包括远程工作的先例,主持人,调解人,后果,福祉,心理健康和工作与家庭冲突.
结论:
- 该研究提供了详细的远程工作研究趋势和过去20年的当前焦点的概述.
- 提出了远程工作研究的概念框架,并提出了未来研究的建议.
- 鼓励更广泛的国际研究人员参与,以推进远程工作领域.
更多相关视频
07:50Global and Current Research Trends of Single-Cell Sequencing in Cancer: A Bibliometric and Visualization Study
Published on: April 18, 2025
227
10:23Author Spotlight: A Machine-Vision Approach to Transmission Electron Microscopy Workflows, Results Analysis and Data Management
Published on: June 23, 2023
2.8K
相关概念视频
Quantifying Work
19.5K
As a system undergoes a change, its internal energy can change, and energy can be transferred from the system to the surroundings, or from the surroundings to the system.
19.5K
Virtual Work
863
The principle of virtual work states that if a body is in static and dynamic equilibrium, then the sum of all the virtual work done by all external forces and couple moments for any given virtual displacement must be zero.
In static equilibrium, a body can experience an imaginary or virtual movement, such as displacement or rotation. The virtual work done by a force is equal to the dot product of force and virtual displacement in the direction of the force. When it comes to virtually rotating a...
In static equilibrium, a body can experience an imaginary or virtual movement, such as displacement or rotation. The virtual work done by a force is equal to the dot product of force and virtual displacement in the direction of the force. When it comes to virtually rotating a...
863
Statistical Methods for Analyzing Epidemiological Data
400
Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
400
Observational Studies
8.7K
Observational studies are a type of analytical study where researchers observe events without any interventions. In other words, the researcher does not influence the response variable or the experiment's outcome.
There are three types of observational studies – Prospective, retrospective, and cross-sectional.
Prospective Study
Prospective studies, also known as longitudinal or cohort studies, are carried out by collecting future data from groups sharing similar characteristics. One...
There are three types of observational studies – Prospective, retrospective, and cross-sectional.
Prospective Study
Prospective studies, also known as longitudinal or cohort studies, are carried out by collecting future data from groups sharing similar characteristics. One...
8.7K
Econometric Views (EViews)
162
Econometric Views, often stylized as EViews, is a package that merges statistical analysis with econometric studies. It is designed to provide tools for time series analysis, forecasting, and econometric model simulation. The software originated from MicroTSP software and has evolved significantly since its inception in 1981. The history of EViews is marked by a continuous effort to enhance its computational speed and user interface. It was initially developed for large computing systems but...
162
Statistical Analysis: Overview
6.6K
When we take repeated measurements on the same or replicated samples, we will observe inconsistencies in the magnitude. These inconsistencies are called errors. To categorize and characterize these results and their errors, the researcher can use statistical analysis to determine the quality of the measurements and/or suitability of the methods.
One of the most commonly used statistical quantifiers is the mean, which is the ratio between the sum of the numerical values of all results and the...
One of the most commonly used statistical quantifiers is the mean, which is the ratio between the sum of the numerical values of all results and the...
6.6K
