E3S Web Conf.
Volume 245, 20212021 5th International Conference on Advances in Energy, Environment and Chemical Science (AEECS 2021)
|Number of page(s)||10|
|Section||Chemical Performance Research and Chemical Industry Technology Research and Development|
|Published online||24 March 2021|
Impact of Perception of Performance Appraisal Politics on Affective Commitment: Mediate Effect of Perception of Organizational Support and Differentiation Effect of Perception Attribution
1 Public Administration School, China University of Geosciences, Wuhan, China
2 Public Administration School, China University of Geosciences, Wuhan, China
Performance appraisal politics is widespread in the organization. It provides a new perspective for improving performance appraisal to study its effects on employee attitudes. In addition, its influence on employees’ attitude is still blank. This paper utilizes questionnaire survey and structural equation model to study the impact of different types of perception of performance appraisal politics on employees’ affective commitment. The result shows that different types of perception of performance appraisal politics have different effect on employees’ attitude. Perception of public-private concerned high ratings has positive effect, however, perception of organizational-interested low ratings, selfish high rating perception and self-interested low rating perception have negative effect. The effect strength was decided by employee’s attribution about perception of performance appraisal politics. Perception of organizational support played a complete mediate role in the impact of perception of performance appraisal politics on employees’ affective commitment. Based on the findings of the study, managers can reduce employees’ negative perception of performance appraisal politics and passive consequences by restricting estimators’ selfish leniency and conscious oppressive evaluation, guiding employees to attribute performance appraisal politics positively and enhancing perception of organizational support.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.