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Impact of demographic variables on voluntary labour turnover in South Africa

机译:人口统计学变量对南非自愿劳动力流动的影响

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This paper demonstrates the relevance of employee demographic variables as extended factors in the voluntary turnover process since these models currently do not sufficiently explain the factors impacting the turnover decision. Over 1000 managers and knowledge workers were surveyed using a cross-sectional questionnaire to identify potential similarities in demographic variables in the decision to leave the organisation. Findings indicate that various demographic variables (age, race and gender) influence whether pull or push factors are cited in the turnover process. In addition, it is found that the level of education has a stronger relationship to employee mobility than race, which contradicts the current sentiment in the South African labour market. Furthermore, it is concluded that demographic variables of employees should be considered in the extension of contemporary turnover models. The findings have implications for human resource management practices in organisations that are more dependent on knowledge workers. Consequently, the findings have implications for current prevailing theory on voluntary turnover research.
机译:本文证明了员工人口统计变量作为自愿离职过程中扩展因素的相关性,因为这些模型目前不足以解释影响离职决策的因素。使用横断面调查表对1000多名经理和知识工作者进行了调查,以确定在离开组织的决定中人口统计学变量的潜在相似之处。调查结果表明,各种人口统计学变量(年龄,种族和性别)都会影响营业额过程中是否引用拉动因素或推动因素。此外,还发现,受教育程度与员工流动性的关系比种族关系强,这与南非劳动力市场的当前情绪相矛盾。此外,得出的结论是,在扩展现代离职模型时应考虑员工的人口变量。该发现对组织中更依赖于知识工作者的人力资源管理实践产生了影响。因此,这些发现对当前关于自愿离职研究的流行理论具有启示意义。

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