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Do embedded employees voice more?
DOI:10.1108/PR-05-2017-0150.png)
摘要
En 中文
Purpose The purpose of this paper is to investigate whether embedded employees proactively provide voice for future improvement, and how interactional justice moderates this relationship. Design/methodology/approach Survey data were collected from the administrative staff and their immediate supervisors of a major university located in Southern China. The data were analyzed using hierarchical linear modeling. Findings Job embeddedness was positively related to voice behavior toward organization (VBO) but not to voice behavior toward work unit. Interactional justice was positively related to both types of voice behavior. The relationship between job embeddedness and VBO was stronger among employees who perceived lower interactional justice. Practical implications To encourage voice behavior, organizations should attempt to enhance employees' job embeddedness by adopting human resource strategies such as providing training that helps employees to meet their long-term career goals. This is particularly important when supervisors fail to treat their employees with fairness. When employees are treated with fairness by supervisors, they are also motivated to speak up. Thus, supervisors should pay attention to the ways in which they interact with employees. Originality/value This paper adds to the existing knowledge of the consequences of job embeddedness by examining its relationship with voice, a proactive behavior which can benefit the organization but is considered as risky by the employees. Additionally, studying the moderating effect of interactional justice enriches the understanding of the conditions under which the relationship between job embeddedness and voice may vary. It also reveals the uncertainty management process underlying the influences of job embeddedness and interactional justice on voice behavior.
Keyword:
Employee voice
Job embeddedness
Interactional justice
Job embeddedness theory
Fairness heuristic theory
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4.2
论文数:
2.3K
被引数:
5.9K
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引用论文
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