Effect of Road Traffic Congestion on Stress at Work: Evidence from the Employees Working in Metropolitan Areas of Colombo, Sri Lanka

T. Weerasinghe, D. Karunarathna, B. Subashini
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引用次数: 1

Abstract

Though the conventional concept of ‘work stress’, its causes and consequences have been adequately discussed in the extant literature, a very little attention has been given to study the ‘stress at work’; especially, the employees’ stress at work which arise due to the experience in traffic congestion. Hence, bridging that lacuna in the literature, and re-constructing the two variables, the current study was initiated to assess the effect of experience in traffic congestion on employees’ stress at work. Predominantly adopting the hypothetico-deductive approach, this study was conducted among a sample of 420 individual employees prone to traffic congestion in metropolitan areas in Colombo. Purposive convenience sampling was used to select the sample whereas the Hair method was used to determine the sample size. Primary data were collected by adopting standard measurement scales via an online questionnaire survey. Data analysis was done with the aid of SPSS and Excel by employing Exploratory Factor Analysis (EFA) and the multivariate techniques of hypotheses testing. Building on the findings of this study, it is concluded to be considered that the experience in traffic congestion as a significant predictor of employees’ stress at work. Therefore, it is recommended for individual employees who are risked at the frequent road traffic congestion to mindfully develop the awareness of, and the readiness for traffic congestion and appropriate coping skills. Further, it is recommended for employers to provide an adequate amount of opportunities for such employees to relax at work.
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道路交通拥堵对工作压力的影响:来自科伦坡大都市区工作人员的证据
虽然“工作压力”的传统概念,其原因和后果已经在现有文献中进行了充分的讨论,但很少有人关注研究“工作压力”;尤其是员工在工作中因经历交通拥堵而产生的压力。因此,本研究旨在弥补文献中的这一空白,并重新构建这两个变量,以评估交通拥堵体验对员工工作压力的影响。本研究主要采用假设-演绎方法,在科伦坡大都市区420名容易出现交通拥堵的个体员工中进行。样本的选择采用目的性方便抽样法,样本量的确定采用毛发法。通过在线问卷调查,采用标准测量量表收集原始数据。数据分析采用探索性因子分析(Exploratory Factor analysis, EFA)和多元假设检验技术,采用SPSS和Excel软件进行。基于本研究的结果,可以认为交通拥堵的经历是员工工作压力的重要预测因子。因此,我们建议在频繁的道路交通挤塞中面临风险的个别员工认真培养对交通挤塞的意识、准备和适当的应对技巧。此外,建议雇主为这些员工提供足够的机会在工作中放松。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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