The Influence of Knowledge Worker Salary Satisfaction on Employee Job Performance

IF 3.6 3区 管理学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS
Li Zeng
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引用次数: 0

Abstract

Knowledge workers are quite crucial to every enterprise, so exploring the relationship between their salary satisfaction and job performance is significant. Hence, this work observes their salary satisfaction by identifying the employees' emotions at the time of salary announcement. The relationship between salary satisfaction and job performance is studied through the obtained satisfaction. First, the convolutional neural network (CNN) model is introduced. Then, it is optimized by adding an attention mechanism to improve the accuracy of the emotion recognition model. Finally, through comparative experiments, the effectiveness of the model proposed and the impact of employee's salary satisfaction on job performance are verified. The experimental results show that the recognition accuracy of the model is much higher than that of the traditional model. In particular, the recognition accuracy of neutral emotions is as high as 95%. It verifies the effectiveness of the model.
知识型员工薪酬满意度对员工工作绩效的影响
知识型员工对每个企业来说都是至关重要的,因此研究知识型员工的薪酬满意度与工作绩效之间的关系具有重要意义。因此,本研究通过识别员工在薪酬公告时的情绪来观察他们的薪酬满意度。通过所得满意度研究薪酬满意度与工作绩效的关系。首先介绍了卷积神经网络(CNN)模型。然后,通过添加注意机制对模型进行优化,提高情绪识别模型的准确率。最后,通过对比实验,验证了所提出模型的有效性,以及员工薪酬满意度对工作绩效的影响。实验结果表明,该模型的识别精度大大高于传统模型。特别是对中性情绪的识别准确率高达95%。验证了模型的有效性。
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来源期刊
Journal of Organizational and End User Computing
Journal of Organizational and End User Computing COMPUTER SCIENCE, INFORMATION SYSTEMS-
CiteScore
6.00
自引率
9.20%
发文量
77
期刊介绍: The Journal of Organizational and End User Computing (JOEUC) provides a forum to information technology educators, researchers, and practitioners to advance the practice and understanding of organizational and end user computing. The journal features a major emphasis on how to increase organizational and end user productivity and performance, and how to achieve organizational strategic and competitive advantage. JOEUC publishes full-length research manuscripts, insightful research and practice notes, and case studies from all areas of organizational and end user computing that are selected after a rigorous blind review by experts in the field.
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