运输服务人员的工作条件和满意度

IF 0.5 Q4 ECONOMICS
E. Wawer
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引用次数: 0

摘要

波兰经济的转型给雇员和雇主之间的合同性质带来了深刻的变化。这些变化受到全球化进程和动态技术进步的影响。特别是合同和工作本身的特征发生了变化,这影响了雇员从就业中获得的效用。本文试图以铁路服务人员为例,找出影响工作满意度的因素。尤其是,职位、工作中的紧张和压力程度、自主程度、个人发展机会、员工技能与工作要求的契合程度、方便的工作时间、假期长短和享有的社会尊重程度等因素都很重要。本研究采用创新的离散选择实验方法和计量分析方法,对交通服务员工满意度的影响因素进行了综合考察。研究结论表明,虽然薪酬是影响工作满意度的重要因素,但其他非工资因素也会影响工作满意度。最重要的因素包括管理职位、个人发展机会以及与特定职业/职位相关的社会尊重水平。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Working Conditions and Satisfaction of Transport Service Employees
Abstract The transition of the Polish economy has brought about profound changes in the nature of contracts between employees and employers. These changes have been affected by the process of globalisation and dynamic technological progress. In particular, the characteristics of the contracts and the work itself have changed, which has affected the utility derived from employment by employees. The article attempts to identify the factors providing job satisfaction using the example of railway service employees. In particular, factors such as the position held, levels of tension and stress at work, level of autonomy, opportunities for personal development, the level of accordance between employees’ skills and job requirements, convenient working hours, length of vacation and the level of social respect enjoyed are important. In the study, an innovative discrete choice experiment method and econometric analysis were used to make a comprehensive examination of the factors providing satisfaction to transport service employees. Conclusions from the study indicate that although remuneration is an important element influencing job satisfaction, other non-wage factors also affect the satisfaction. The most important factors include managerial position, opportunities for personal development and the level of social respect related to the given occupation/position.
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来源期刊
CiteScore
0.60
自引率
0.00%
发文量
9
期刊介绍: The Central European Journal of Economic Modelling and Econometrics (CEJEME) is a quarterly international journal. It aims to publish articles focusing on mathematical or statistical models in economic sciences. Papers covering the application of existing econometric techniques to a wide variety of problems in economics, in particular in macroeconomics and finance are welcome. Advanced empirical studies devoted to modelling and forecasting of Central and Eastern European economies are of particular interest. Any rigorous methods of statistical inference can be used and articles representing Bayesian econometrics are decidedly within the range of the Journal''s interests.
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