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Variance based structural equation \nmodelling (PLS-SEM) technique was used to test the model and to \npredict the most important factors relevant to employee engagement \nand loyalty. The first order model included two endogenous \nconstructs (loyalty and intention to stay and recommend to work in \nthis organisation, and employee engagement), as well as six \nexogenous constructs (feeling of fair treatment and trust in \nmanagement; career growth opportunities; compensation, pay and \nbenefits; management; colleagues and teamwork; and finally job \nmeaningfulness). Job satisfaction was developed as second order \nconstruct and both: first and second order models were designed for \ndata analysis. It was found that academics are more engaged than \nsatisfied with their work and main reason for that was found to be job \nmeaningfulness, which is significant predictor for work engagement, \nbut not for job satisfaction. 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引用次数: 14

摘要

本文旨在将工作满意度,工作投入,信任,工作意义和对组织的忠诚度的概念联系在一起,重点关注特定类型的就业-学术工作。本研究考察了工作满意度、工作投入与员工忠诚之间的关系,以及信任和工作意义对员工工作投入和员工忠诚的影响。这项调查是在拉脱维亚最大的高等教育机构之一进行的,样本来自学术人员(n=326)。设计了包含44个反思性问题的结构化问卷来测量这些构念。数据分析采用SPSS和Smart-PLS软件。采用基于方差的结构方程建模(PLS-SEM)技术对模型进行检验,并预测与员工敬业度和忠诚度相关的最重要因素。第一阶模型包括两个内生构念(忠诚度和留在该组织并推荐工作的意愿,以及员工敬业度),以及六个外生构念(公平待遇的感觉和对管理层的信任;职业发展机会;薪酬、薪酬和福利;管理;同事和团队合作;最后是工作意义)。工作满意度被开发为二阶结构,并设计了一阶和二阶模型用于数据分析。研究发现,学者对他们的工作更投入,而不是更满意,主要原因是工作意义,这是工作投入的重要预测因素,但不是工作满意度的重要预测因素。薪酬与工作投入无显著相关,而只与工作满意度相关。信任与参与和满意度都没有显著关系,然而,它似乎是忠诚和留在大学的意图的重要预测因子。论文揭示了学术工作是一种特殊的就业类型,员工可以更投入而不是满意,并强调了工作意义在大学环境中的具体作用。
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Exploring the Relationships between Job Satisfaction, Work Engagement and Loyalty of Academic Staff
This paper aims to link together the concepts of job satisfaction, work engagement, trust, job meaningfulness and loyalty to the organisation focusing on specific type of employment – academic jobs. The research investigates the relationships between job satisfaction, work engagement and loyalty as well as the impact of trust and job meaningfulness on the work engagement and loyalty. The survey was conducted in one of the largest Latvian higher education institutions and the sample was drawn from academic staff (n=326). Structured questionnaire with 44 reflective type questions was developed to measure the constructs. Data was analysed using SPSS and Smart-PLS software. Variance based structural equation modelling (PLS-SEM) technique was used to test the model and to predict the most important factors relevant to employee engagement and loyalty. The first order model included two endogenous constructs (loyalty and intention to stay and recommend to work in this organisation, and employee engagement), as well as six exogenous constructs (feeling of fair treatment and trust in management; career growth opportunities; compensation, pay and benefits; management; colleagues and teamwork; and finally job meaningfulness). Job satisfaction was developed as second order construct and both: first and second order models were designed for data analysis. It was found that academics are more engaged than satisfied with their work and main reason for that was found to be job meaningfulness, which is significant predictor for work engagement, but not for job satisfaction. Compensation is not significantly related to work engagement, but only to job satisfaction. Trust was not significantly related neither to engagement, nor to satisfaction, however, it appeared to be significant predictor of loyalty and intentions to stay with the University. Paper revealed academic jobs as specific kind of employment where employees can be more engaged than satisfied and highlighted the specific role of job meaningfulness in the University settings.
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