显著性(神经科学)
人事变更率
心理学
独创性
社会心理学
工作(物理)
价值(数学)
认知心理学
管理
创造力
经济
计算机科学
机械工程
机器学习
工程类
作者
Xiaoping Pu,Guanglei Zhang,Chi‐Shing Tse,Jiaojiao Feng,Yipeng Tang,Wei Fan
出处
期刊:Journal of Knowledge Management
[Emerald (MCB UP)]
日期:2021-08-20
卷期号:26 (5): 1368-1385
被引量:4
标识
DOI:10.1108/jkm-03-2021-0242
摘要
Purpose This study aims to investigate whether and how a high turnover rate stimulates employees to engage more in learning behavior. Design/methodology/approach Drawing on self-regulation theory, the authors suggest that the motive for employees to engage in learning behavior is to improve themselves. Such a need can be activated when they reflect on themselves and realize the discrepancy between their current selves and desired future selves. The authors argue that the employees’ perceived poor performance at daily work may induce their desire for self-improvement via making the future work selves salient, and in turn engage more in learning behavior. This is particularly so when turnover rate is high because employees may be alert of and concerned more about their own poor performance. In an experience sampling study, the authors obtained evidence for these hypotheses. Findings When turnover rate was high, employees’ poor performance increased salience of future work selves, which in turn facilitated their learning behavior. This relationship was not significant when turnover rate was low. Originality/value Contrary to the typical view that high turnover rate leads to knowledge loss for the companies, the present study findings suggest that it could also serve as a motivational factor facilitating employees’ learning behavior, which is an important way to increase knowledge pool of the companies.
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