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Factors affecting employee performance: an empirical approach

机译:影响员工绩效的因素:一种经验方法

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Purpose - Nowadays, the phenomenon of increased competition between firms and their need to respond effectively to rapidly changing operational conditions, as well as to personnel requirements, has escalated the necessity to identify those factors that affect employee performance (EP). The purpose of this paper is to examine the interrelations between firm/environment-related factors (training culture, management support, environmental dynamism and organizational climate), job-related factors (job environment, job autonomy, job communication) and employee-related factors (intrinsic motivation, skill flexibility, skill level, proactivity, adaptability, commitment) and their impact on EP. Design/methodology/approach - A new research model that examines the relationships between these factors and EP is proposed utilizing the structural equation modeling approach. Findings - The results indicate that job environment and management support have the strongest impacts (direct and indirect) on job performance, while adaptability and intrinsic motivation directly affect job performance. Research limitations/implications - A potential limitation of this research is that it is not focused only on one business sector (i.e. the sample is heterogeneous). Originality/value - In this study, firm/environmental-related factors, job-related factors, employee-related factors and EP are incorporated in a single model using data from small- and medium-sized enterprises. Overall, the final model can explain 27 percent of EP variance (first-level analysis) and 42 percent of EP variance (second-level analysis).
机译:目的-如今,公司之间竞争日益加剧的现象及其对快速变化的运营条件以及人员需求做出有效响应的需求,已使识别影响员工绩效(EP)的因素的必要性升级。本文的目的是研究与公司/环境相关的因素(培训文化,管理支持,环境动力和组织氛围),与工作相关的因素(工作环境,工作自主性,工作沟通)和与员工相关的因素之间的相互关系。 (内在动机,技能灵活性,技能水平,主动性,适应性,承诺)及其对EP的影响。设计/方法/方法-利用结构方程建模方法,提出了一个研究这些因素与EP之间关系的新研究模型。调查结果-结果表明,工作环境和管理支持对工作绩效的影响最大(直接和间接),而适应性和内在动机直接影响工作绩效。研究的局限性/含义-这项研究的潜在局限性在于它不仅专注于一个商业领域(即样本是异类的)。原创性/价值-在这项研究中,使用来自中小型企业的数据,将与公司/环境相关的因素,与工作相关的因素,与员工相关的因素和EP合并到一个模型中。总体而言,最终模型可以解释27%的EP方差(第一级分析)和42%的EP方差(第二级分析)。

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