心理科学进展 ›› 2022, Vol. 30 ›› Issue (12): 2666-2680.doi: 10.3724/SP.J.1042.2022.02666
收稿日期:
2021-11-14
出版日期:
2022-12-15
发布日期:
2022-09-23
通讯作者:
程延园
E-mail:chengyy@ruc.edu.cn
基金资助:
SONG Haojie1, GAO Renjing1, ZHANG Qiang2, CHENG Yanyuan3()
Received:
2021-11-14
Online:
2022-12-15
Published:
2022-09-23
Contact:
CHENG Yanyuan
E-mail:chengyy@ruc.edu.cn
摘要:
基于42篇文献的64项独立研究, 总样本量为22843人的数据, 对工作时间与工作绩效的非线性关系进行了元分析。结果发现:(1)工作时间与任务绩效、关系绩效之间存在显著的倒U型关系; (2)国家类型的调节作用显著:相对于西方欧美国家, 工作时间与任务绩效、关系绩效的倒U型关系在中国更为显著; (3)产业类型的调节作用显著:相对于劳动、资本密集型产业, 工作时间与任务绩效的倒U型关系在知识密集型产业中更为显著; (4)年龄的调节作用显著:相对于高年龄水平, 工作时间与任务绩效的倒U型关系在低年龄水平群体中更为显著; (5)性别的调节作用显著:相对于低男性比例, 工作时间与关系绩效的倒U型关系在高男性比例群体中更为显著。结果不仅基于元分析厘清了工作时间与工作绩效的倒U型关系效应, 而且为劳动法中工时规定(例如周均工作时间不超过44小时)的合理性提供了科学依据, 警示组织注意工作时间对工作绩效的“过犹不及”效应。
中图分类号:
宋皓杰, 郜人婧, 张强, 程延园. (2022). 工作时间与工作绩效的非线性关系:一项元分析. 心理科学进展 , 30(12), 2666-2680.
SONG Haojie, GAO Renjing, ZHANG Qiang, CHENG Yanyuan. (2022). Nonlinear relationship between work hours and job performance: A meta-analysis. Advances in Psychological Science, 30(12), 2666-2680.
结果变量 | k | Egger检验 | Begg检验 | |||
---|---|---|---|---|---|---|
Intercept | t | 95% CI | Z | p | ||
任务绩效 | 39 | -1.31 | -1.90 | [-2.71, 0.09] | -0.73 | 0.468 |
关系绩效 | 25 | -2.87 | -2.06 | [-5.75, 0.01] | -0.09 | 0.925 |
表1 出版偏倚检测结果
结果变量 | k | Egger检验 | Begg检验 | |||
---|---|---|---|---|---|---|
Intercept | t | 95% CI | Z | p | ||
任务绩效 | 39 | -1.31 | -1.90 | [-2.71, 0.09] | -0.73 | 0.468 |
关系绩效 | 25 | -2.87 | -2.06 | [-5.75, 0.01] | -0.09 | 0.925 |
变量 | 任务绩效 | 关系绩效 | ||
---|---|---|---|---|
beta | p | beta | p | |
工作时间 | -0.01*** | 0.000 | -0.01*** | 0.000 |
国家类型 | -0.01 | 0.725 | 0.00 | 0.962 |
工作时间×国家类型 | 0.01+ | 0.095 | 0.02*** | 0.000 |
常数项 | 0.04* | 0.040 | 0.09*** | 0.000 |
表2 国家类型的调节效应
变量 | 任务绩效 | 关系绩效 | ||
---|---|---|---|---|
beta | p | beta | p | |
工作时间 | -0.01*** | 0.000 | -0.01*** | 0.000 |
国家类型 | -0.01 | 0.725 | 0.00 | 0.962 |
工作时间×国家类型 | 0.01+ | 0.095 | 0.02*** | 0.000 |
常数项 | 0.04* | 0.040 | 0.09*** | 0.000 |
变量 | 任务绩效 | 关系绩效 | ||
---|---|---|---|---|
beta | p | beta | p | |
工作时间 | 0.00 | 0.736 | 0.00 | 0.876 |
产业类型 | 0.08+ | 0.054 | 0.08 | 0.323 |
工作时间×产业类型 | -0.01** | 0.003 | -0.01 | 0.445 |
常数项 | -0.05 | 0.200 | -0.00 | 0.969 |
表3 产业类型的调节效应
变量 | 任务绩效 | 关系绩效 | ||
---|---|---|---|---|
beta | p | beta | p | |
工作时间 | 0.00 | 0.736 | 0.00 | 0.876 |
产业类型 | 0.08+ | 0.054 | 0.08 | 0.323 |
工作时间×产业类型 | -0.01** | 0.003 | -0.01 | 0.445 |
常数项 | -0.05 | 0.200 | -0.00 | 0.969 |
变量 | 任务绩效 | 关系绩效 | ||
---|---|---|---|---|
beta | p | beta | p | |
工作时间 | -0.00*** | 0.000 | -0.01** | 0.003 |
年龄 | 0.00 | 0.186 | 0.01 | 0.335 |
工作时间×年龄 | 0.00+ | 0.083 | -0.00 | 0.470 |
常数项 | 0.02+ | 0.070 | 0.06* | 0.038 |
表4 年龄的调节效应
变量 | 任务绩效 | 关系绩效 | ||
---|---|---|---|---|
beta | p | beta | p | |
工作时间 | -0.00*** | 0.000 | -0.01** | 0.003 |
年龄 | 0.00 | 0.186 | 0.01 | 0.335 |
工作时间×年龄 | 0.00+ | 0.083 | -0.00 | 0.470 |
常数项 | 0.02+ | 0.070 | 0.06* | 0.038 |
变量 | 任务绩效 | 关系绩效 | ||
---|---|---|---|---|
beta | p | beta | p | |
工作时间 | -0.01*** | 0.000 | -0.01*** | 0.000 |
男性比例 | -0.12+ | 0.076 | 0.40** | 0.009 |
工作时间×男性比例 | 0.00 | 0.827 | -0.04* | 0.022 |
常数项 | 0.01 | 0.339 | 0.07** | 0.007 |
表5 性别的调节效应
变量 | 任务绩效 | 关系绩效 | ||
---|---|---|---|---|
beta | p | beta | p | |
工作时间 | -0.01*** | 0.000 | -0.01*** | 0.000 |
男性比例 | -0.12+ | 0.076 | 0.40** | 0.009 |
工作时间×男性比例 | 0.00 | 0.827 | -0.04* | 0.022 |
常数项 | 0.01 | 0.339 | 0.07** | 0.007 |
变量 | 任务绩效 | 关系绩效 | ||
---|---|---|---|---|
beta | p | beta | p | |
工作时间 | -0.01** | 0.006 | -0.02** | 0.002 |
高学历比例 | -0.01 | 0.913 | 0.40 | 0.146 |
工作时间×高学历比例 | 0.01 | 0.410 | -0.02 | 0.199 |
常数项 | 0.04+ | 0.051 | 0.15** | 0.007 |
表6 学历的调节效应
变量 | 任务绩效 | 关系绩效 | ||
---|---|---|---|---|
beta | p | beta | p | |
工作时间 | -0.01** | 0.006 | -0.02** | 0.002 |
高学历比例 | -0.01 | 0.913 | 0.40 | 0.146 |
工作时间×高学历比例 | 0.01 | 0.410 | -0.02 | 0.199 |
常数项 | 0.04+ | 0.051 | 0.15** | 0.007 |
注:纳入元分析文献此处未列出, 请见网络版附录 | |
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