在COVID-19大流行期间在家工作的工料测量师:地点重要吗?

G. D. De Silva, Y. Sandanayake
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摘要

COVID-19大流行在许多方面影响着人们。为了防止病毒传播,各国政府实施了旅行限制。这成为许多部门采用在家工作(WFH)概念的主要原因。尽管在COVID-19大流行期间,WFH得到了显著发展,但在大流行之前,它已经在几个部门实施。然而,缺乏证据表明工料测量师在WFH中的做法。因此,本研究试图调查工料测量师在COVID-19大流行期间是如何工作的,以及影响其工作成功运作的因素。为了实现这一目标,采用了混合方法研究方法。首先,进行了全面的文献综述,并制定了访谈指南作为数据收集工具。随后,进行了30次半结构化访谈来收集数据。收集的定性数据通过基于代码的NVivo 10内容分析进行分析,定量数据通过描述性统计分析进行分析。结果表明,工作角色性质、个人素质、技术、组织相关因素、性别、家庭工作界面、国家经济状况等因素影响QS在WFH中的功能。此外,年龄、家庭位置、天气状况、工作经验和其他员工的表现被确定为可能影响WFH期间质量的因素。本研究结果可用于有效地落实工料测量师的概念,通过控制影响工料测量师进行工料测量时的每个因素,优化工料测量师在建造业的表现
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Quantity surveyors working from home during COVID-19 pandemic: Does place matter?
COVID-19 pandemic affected people in many ways. To prevent the spread of the virus, governments-imposed travel restrictions. This became the main reason for many sectors to adopt work from home (WFH) concept. Although WFH grew prominently with the COVID-19 pandemic, it was already practiced in several sectors even before the pandemic. However, there was lack of evidence regarding the quantity surveyor’s practice in WFH. This research therefore attempts to investigate how the quantity surveyors WFH during COVID-19 pandemic and factors that affected the successful functioning of their job. To achieve the aim, a mixed method research approach was undertaken. Initially, a comprehensive literature review was carried out and an interview guideline was developed as the data collection instrument. Subsequently, 30 semi-structured interviews were conducted to collect data. Collected qualitative data was analysed through code-based content analysis using NVivo 10 and quantitative data was analysed by using descriptive statistical analysis. Results shows that nature of job role, personal qualities, technology, organization related factors, gender, home-work interface, and economic condition of the country affects the QS’s function during WFH. Further, age, location of home, weather condition, job experience and performance of other employees were identified as factors that have a potential to affect QSs during WFH. This research findings can be used to implement WFH concept effectively to optimise quantity surveyor performance in the construction industry by controlling each factor that affects when QSs WFH
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