工作资源如何影响金融服务业的员工生产力和技术支持绩效:工作需求-资源模型视角

Susanna Nuutinen, Salla Ahola, J. Eskelinen, Markku Kuula
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引用次数: 5

摘要

本研究旨在通过考察员工幸福感(工作投入和情绪耗竭)的作用,深入了解工作资源(工作控制和工作发展的可能性)与员工绩效(以员工生产力和技术支持绩效为衡量标准)之间的关系。设计/方法/方法数据包括从一家大型金融机构收集的两个重叠的数据集;研究1采用调查数据(N = 636),而研究2采用为期一年的工作绩效登记数据结合调查数据(N = 143)。通过结构方程模型对数据进行分析。研究结果1表明,工作资源与技术驱动型绩效之间的正相关关系通过工作投入而不是情绪耗竭表现更为强烈。研究2显示,情绪耗竭与员工生产力下降有关,而工作投入则与之无关。此外,研究结果表明,工作控制通过较低的情绪耗竭水平与较高的生产力相关。实际意义该研究的发现指出了开发减少情绪耗竭的干预措施的重要性。原创性/价值这是第一批纵向衡量员工生产力的研究之一,以一年的投入(工作时间)与产出(相关工作成果)之比来衡量。本研究通过展示工作控制在促进员工生产力和更积极的技术认知方面的重要性,为工作需求-资源模型(JD-R)文献做出了贡献。
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How job resources influence employee productivity and technology-enabled performance in financial services: the job demands–resources model perspective
PurposeThis study aims to provide insight into the relationship between job resources (job control and possibilities for development at work) and employee performance, measured as employee productivity and technology-enabled performance, by examining the role of employee well-being (work engagement and emotional exhaustion).Design/methodology/approachThe data comprised two overlapping data sets collected from a large financial institution; Study 1 employed survey data (N = 636), whereas study 2 employed register data on job performance collected over a one-year period combined with survey data (N = 143). The data were analysed through structural equation modelling.FindingsStudy 1 indicated that job resources were positively associated with technology-enabled performance more strongly through work engagement than emotional exhaustion. Study 2 revealed that emotional exhaustion was associated with lower employee productivity, whereas work engagement was not. Furthermore, the results indicated that job control was related to higher productivity through a lower level of emotional exhaustion.Practical implicationsThe study's findings point to the importance of developing interventions that decrease emotional exhaustion.Originality/valueThis is one of the first studies to measure employee productivity longitudinally as a ratio of inputs (working time) to outputs (relevant job outcomes) over one year. This study contributes to the job demands–resources model (JD-R) literature by showing the importance of job control in fostering both employee productivity and more positive perceptions of technology.
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来源期刊
CiteScore
5.20
自引率
9.10%
发文量
31
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