Advances in Psychological Science ›› 2024, Vol. 32 ›› Issue (12): 2031-2049.doi: 10.3724/SP.J.1042.2024.02031
• Meta-Analysis • Previous Articles Next Articles
HAN Zhiwei, CHENG Yanyuan(), REN Zhishuai, WANG Danyang, LI Guojing
Received:
2022-10-13
Online:
2024-12-15
Published:
2024-09-24
Contact:
CHENG Yanyuan
E-mail:chengyy@ruc.edu.cn
CLC Number:
HAN Zhiwei, CHENG Yanyuan, REN Zhishuai, WANG Danyang, LI Guojing. A meta-analysis of work connectivity behavior after-hours and work-life conflict: Based on the work-home resources model[J]. Advances in Psychological Science, 2024, 32(12): 2031-2049.
变量 | k | N | ¯r | SDr | SDres | ¯ρ | SDrc | SDρ | 95% CI | 80%CR | Q | I2 | Z检验 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
主效应 | 67 | 30498 | 0.30 | 0.10 | 0.09 | 0.34 | 0.11 | 0.10 | [0.31, 0.37] | [0.21, 0.47] | 323.67*** | 79.61% | |
工作−生活冲突 | 32 | 19633 | 0.31 | 0.10 | 0.09 | 0.36 | 0.11 | 0.10 | [0.32, 0.40] | [0.22, 0.49] | 189.46*** | 83.64% | Zwlc-wfc = 1.73, p = 0.08 |
工作−家庭冲突 | 32 | 9950 | 0.27 | 0.10 | 0.08 | 0.31 | 0.11 | 0.09 | [0.27, 0.35] | [0.19, 0.43] | 100.38*** | 69.12% | Zwfc-wlec = −0.36, p = 0.72 |
工作−休闲冲突 | 3 | 915 | 0.30 | 0.16 | 0.15 | 0.35 | 0.19 | 0.18 | [−0.12, 0.81] | [0.01, 0.68] | 17.87*** | 88.81% | Zwlc-wlec = 0.09, p = 0.93 |
时间工作−生活冲突 | 14 | 4673 | 0.26 | 0.08 | 0.06 | 0.30 | 0.10 | 0.07 | [0.24, 0.35] | [0.20, 0.40] | 32.09** | 59.49% | Zt-s = 1.98, p < 0.05 |
压力工作−生活冲突 | 13 | 4388 | 0.19 | 0.10 | 0.08 | 0.22 | 0.11 | 0.09 | [0.15, 0.28] | [0.09, 0.34] | 38.69*** | 68.98% | Zs-b = 1.57, p = 0.12 |
行为工作−生活冲突 | 7 | 1884 | 0.12 | 0.09 | 0.07 | 0.14 | 0.11 | 0.08 | [0.04, 0.24] | [0.02, 0.25] | 14.04* | 57.25% | Zt-b = 3.42, p < 0.001 |
基于混合工具的WCBA | 58 | 28643 | 0.30 | 0.09 | 0.08 | 0.35 | 0.11 | 0.10 | [0.32, 0.38] | [0.22, 0.47] | 264.44*** | 78.45% | Z = 2.57, p < 0.05 |
基于电话的WCBA | 10 | 2322 | 0.20 | 0.14 | 0.13 | 0.22 | 0.17 | 0.15 | [0.11, 0.34] | [0.02, 0.43] | 45.57*** | 80.25% | |
发展中国家或地区 | 31 | 10018 | 0.31 | 0.10 | 0.09 | 0.36 | 0.12 | 0.10 | [0.32, 0.40] | [0.22, 0.50] | 119.42*** | 74.88% | Z = 0.70, p = 0.48 |
发达国家或地区 | 28 | 18437 | 0.30 | 0.09 | 0.08 | 0.34 | 0.11 | 0.10 | [0.30, 0.38] | [0.21, 0.47] | 157.50*** | 82.86% | |
已发表 | 46 | 23692 | 0.30 | 0.10 | 0.09 | 0.34 | 0.12 | 0.11 | [0.31, 0.38] | [0.20, 0.48] | 262.16*** | 82.84% | Z = 0.00, p = 1.00 |
未发表 | 21 | 6806 | 0.30 | 0.09 | 0.07 | 0.34 | 0.10 | 0.09 | [0.29, 0.39] | [0.23, 0.45] | 59.68*** | 66.49% | |
多个组织 | 54 | 27643 | 0.31 | 0.09 | 0.08 | 0.35 | 0.10 | 0.09 | [0.33, 0.38] | [0.24, 0.47] | 230.81*** | 77.04% | Z = 2.98, p < 0.01 |
单一组织 | 10 | 2262 | 0.17 | 0.13 | 0.11 | 0.20 | 0.15 | 0.13 | [0.09, 0.31] | [0.02, 0.38] | 35.92*** | 74.94% | |
横断面研究设计 | 56 | 28946 | 0.30 | 0.10 | 0.09 | 0.34 | 0.11 | 0.10 | [0.31, 0.37] | [0.21, 0.47] | 289.23*** | 80.98% | Z = −0.20, p = 0.84 |
经验取样研究设计 | 11 | 1552 | 0.31 | 0.14 | 0.12 | 0.35 | 0.16 | 0.14 | [0.25, 0.46] | [0.17, 0.54] | 32.98*** | 69.68% | |
频率 | 41 | 24241 | 0.31 | 0.09 | 0.09 | 0.35 | 0.11 | 0.10 | [0.32, 0.39] | [0.23, 0.48] | 219.86*** | 81.81% | Zf-d = 2.17, p < 0.05 |
时长 | 14 | 3314 | 0.24 | 0.09 | 0.06 | 0.28 | 0.10 | 0.07 | [0.22, 0.34] | [0.18, 0.37] | 25.16* | 48.32% | Zd-e = −0.21, p = 0.83 |
程度 | 9 | 2149 | 0.26 | 0.10 | 0.08 | 0.29 | 0.11 | 0.09 | [0.21, 0.38] | [0.17, 0.42] | 20.56** | 61.08% | Zf-e = 1.48, p = 0.14 |
下班后 | 17 | 3900 | 0.25 | 0.10 | 0.08 | 0.29 | 0.12 | 0.09 | [0.23, 0.35] | [0.17, 0.41] | 41.12** | 61.09% | Z = −1.84, p = 0.07 |
非工作时间 | 50 | 26598 | 0.30 | 0.10 | 0.09 | 0.35 | 0.11 | 0.10 | [0.32, 0.38] | [0.22, 0.48] | 270.46*** | 81.88% | |
家中 | 16 | 4261 | 0.24 | 0.11 | 0.10 | 0.28 | 0.13 | 0.11 | [0.21, 0.35] | [0.13, 0.43] | 56.03*** | 73.23% | Z = −1.96, p = 0.05 |
非工作场所 | 51 | 26237 | 0.31 | 0.10 | 0.09 | 0.35 | 0.11 | 0.10 | [0.32, 0.38] | [0.23, 0.48] | 249.42*** | 79.95% |
变量 | k | N | ¯r | SDr | SDres | ¯ρ | SDrc | SDρ | 95% CI | 80%CR | Q | I2 | Z检验 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
主效应 | 67 | 30498 | 0.30 | 0.10 | 0.09 | 0.34 | 0.11 | 0.10 | [0.31, 0.37] | [0.21, 0.47] | 323.67*** | 79.61% | |
工作−生活冲突 | 32 | 19633 | 0.31 | 0.10 | 0.09 | 0.36 | 0.11 | 0.10 | [0.32, 0.40] | [0.22, 0.49] | 189.46*** | 83.64% | Zwlc-wfc = 1.73, p = 0.08 |
工作−家庭冲突 | 32 | 9950 | 0.27 | 0.10 | 0.08 | 0.31 | 0.11 | 0.09 | [0.27, 0.35] | [0.19, 0.43] | 100.38*** | 69.12% | Zwfc-wlec = −0.36, p = 0.72 |
工作−休闲冲突 | 3 | 915 | 0.30 | 0.16 | 0.15 | 0.35 | 0.19 | 0.18 | [−0.12, 0.81] | [0.01, 0.68] | 17.87*** | 88.81% | Zwlc-wlec = 0.09, p = 0.93 |
时间工作−生活冲突 | 14 | 4673 | 0.26 | 0.08 | 0.06 | 0.30 | 0.10 | 0.07 | [0.24, 0.35] | [0.20, 0.40] | 32.09** | 59.49% | Zt-s = 1.98, p < 0.05 |
压力工作−生活冲突 | 13 | 4388 | 0.19 | 0.10 | 0.08 | 0.22 | 0.11 | 0.09 | [0.15, 0.28] | [0.09, 0.34] | 38.69*** | 68.98% | Zs-b = 1.57, p = 0.12 |
行为工作−生活冲突 | 7 | 1884 | 0.12 | 0.09 | 0.07 | 0.14 | 0.11 | 0.08 | [0.04, 0.24] | [0.02, 0.25] | 14.04* | 57.25% | Zt-b = 3.42, p < 0.001 |
基于混合工具的WCBA | 58 | 28643 | 0.30 | 0.09 | 0.08 | 0.35 | 0.11 | 0.10 | [0.32, 0.38] | [0.22, 0.47] | 264.44*** | 78.45% | Z = 2.57, p < 0.05 |
基于电话的WCBA | 10 | 2322 | 0.20 | 0.14 | 0.13 | 0.22 | 0.17 | 0.15 | [0.11, 0.34] | [0.02, 0.43] | 45.57*** | 80.25% | |
发展中国家或地区 | 31 | 10018 | 0.31 | 0.10 | 0.09 | 0.36 | 0.12 | 0.10 | [0.32, 0.40] | [0.22, 0.50] | 119.42*** | 74.88% | Z = 0.70, p = 0.48 |
发达国家或地区 | 28 | 18437 | 0.30 | 0.09 | 0.08 | 0.34 | 0.11 | 0.10 | [0.30, 0.38] | [0.21, 0.47] | 157.50*** | 82.86% | |
已发表 | 46 | 23692 | 0.30 | 0.10 | 0.09 | 0.34 | 0.12 | 0.11 | [0.31, 0.38] | [0.20, 0.48] | 262.16*** | 82.84% | Z = 0.00, p = 1.00 |
未发表 | 21 | 6806 | 0.30 | 0.09 | 0.07 | 0.34 | 0.10 | 0.09 | [0.29, 0.39] | [0.23, 0.45] | 59.68*** | 66.49% | |
多个组织 | 54 | 27643 | 0.31 | 0.09 | 0.08 | 0.35 | 0.10 | 0.09 | [0.33, 0.38] | [0.24, 0.47] | 230.81*** | 77.04% | Z = 2.98, p < 0.01 |
单一组织 | 10 | 2262 | 0.17 | 0.13 | 0.11 | 0.20 | 0.15 | 0.13 | [0.09, 0.31] | [0.02, 0.38] | 35.92*** | 74.94% | |
横断面研究设计 | 56 | 28946 | 0.30 | 0.10 | 0.09 | 0.34 | 0.11 | 0.10 | [0.31, 0.37] | [0.21, 0.47] | 289.23*** | 80.98% | Z = −0.20, p = 0.84 |
经验取样研究设计 | 11 | 1552 | 0.31 | 0.14 | 0.12 | 0.35 | 0.16 | 0.14 | [0.25, 0.46] | [0.17, 0.54] | 32.98*** | 69.68% | |
频率 | 41 | 24241 | 0.31 | 0.09 | 0.09 | 0.35 | 0.11 | 0.10 | [0.32, 0.39] | [0.23, 0.48] | 219.86*** | 81.81% | Zf-d = 2.17, p < 0.05 |
时长 | 14 | 3314 | 0.24 | 0.09 | 0.06 | 0.28 | 0.10 | 0.07 | [0.22, 0.34] | [0.18, 0.37] | 25.16* | 48.32% | Zd-e = −0.21, p = 0.83 |
程度 | 9 | 2149 | 0.26 | 0.10 | 0.08 | 0.29 | 0.11 | 0.09 | [0.21, 0.38] | [0.17, 0.42] | 20.56** | 61.08% | Zf-e = 1.48, p = 0.14 |
下班后 | 17 | 3900 | 0.25 | 0.10 | 0.08 | 0.29 | 0.12 | 0.09 | [0.23, 0.35] | [0.17, 0.41] | 41.12** | 61.09% | Z = −1.84, p = 0.07 |
非工作时间 | 50 | 26598 | 0.30 | 0.10 | 0.09 | 0.35 | 0.11 | 0.10 | [0.32, 0.38] | [0.22, 0.48] | 270.46*** | 81.88% | |
家中 | 16 | 4261 | 0.24 | 0.11 | 0.10 | 0.28 | 0.13 | 0.11 | [0.21, 0.35] | [0.13, 0.43] | 56.03*** | 73.23% | Z = −1.96, p = 0.05 |
非工作场所 | 51 | 26237 | 0.31 | 0.10 | 0.09 | 0.35 | 0.11 | 0.10 | [0.32, 0.38] | [0.23, 0.48] | 249.42*** | 79.95% |
调节变量(具体指标) | k | N | b | SE | Z | p | 95% CI | Q | I2 |
---|---|---|---|---|---|---|---|---|---|
工作职位(管理者比例) | 31 | 9020 | 0.02 | 0.11 | 0.17 | 0.86 | [−0.19, 0.23] | 178.90*** | 84.87% |
性别(男性比例) | 67 | 30498 | −0.02 | 0.10 | −0.17 | 0.88 | [−0.22, 0.19] | 506.87*** | 89.24% |
婚姻状况(已婚比例) | 41 | 18986 | −0.26 | 0.09 | −2.82 | < 0.01 | [−0.43, −0.08] | 146.95*** | 73.73% |
子女抚养状况(抚养子女比例) | 30 | 16848 | −0.28 | 0.10 | −2.73 | < 0.01 | [−0.49, −0.08] | 155.46*** | 82.75% |
年龄(平均年龄) | 40 | 19523 | 0.00 | 0.004 | 0.007 | 0.99 | [−0.01, 0.01] | 205.80*** | 85.93% |
组织任期(平均组织任期) | 9 | 2903 | −0.02 | 0.01 | −1.32 | 0.19 | [−0.04, 0.01] | 51.53*** | 85.99% |
调节变量(具体指标) | k | N | b | SE | Z | p | 95% CI | Q | I2 |
---|---|---|---|---|---|---|---|---|---|
工作职位(管理者比例) | 31 | 9020 | 0.02 | 0.11 | 0.17 | 0.86 | [−0.19, 0.23] | 178.90*** | 84.87% |
性别(男性比例) | 67 | 30498 | −0.02 | 0.10 | −0.17 | 0.88 | [−0.22, 0.19] | 506.87*** | 89.24% |
婚姻状况(已婚比例) | 41 | 18986 | −0.26 | 0.09 | −2.82 | < 0.01 | [−0.43, −0.08] | 146.95*** | 73.73% |
子女抚养状况(抚养子女比例) | 30 | 16848 | −0.28 | 0.10 | −2.73 | < 0.01 | [−0.49, −0.08] | 155.46*** | 82.75% |
年龄(平均年龄) | 40 | 19523 | 0.00 | 0.004 | 0.007 | 0.99 | [−0.01, 0.01] | 205.80*** | 85.93% |
组织任期(平均组织任期) | 9 | 2903 | −0.02 | 0.01 | −1.32 | 0.19 | [−0.04, 0.01] | 51.53*** | 85.99% |
WCBA相关的检索关键词 | 工作−生活冲突相关的检索关键词 | |
---|---|---|
中文文献数据库检索关键词 | 工作连通行为、工作性通信工具使用、非工作时间电子沟通、非工作时间移动技术使用、非工作时间社交媒体使用、非工作时间使用手机、非工作时间使用通信技术处理工作、非工作时间在家办公 | 工作-非工作冲突、工作−生活冲突、工作−家庭冲突、工作-休闲冲突 |
英文文献数据库检索关键词 | use of communication technologies after hours、information and communication technologies use after hours、ICTs use after hours、work related communication technology use outside of regular work hours、electronic communication during non-work time、electronic communication time requirements、work related smartphone use during non-work hours、work related smartphone use during leisure、work related smartphone use during off job time、work related smartphone use、smartphone use after work、smartphone use after hours、smartphone use after work hours、smartphone use during after work hours、late night smartphone use、using a smartphone for work purposes、work connectivity behavior after hours、work connectivity behavior during non-work time、technology assisted supplemental work、computer supported supplemental work at home、home based telework、after hours teleworking | work life conflict、work family conflict、work home conflict、work non-work conflict、work leisure conflict、work life interference、work family interference、work home interference、work non-work interference、work leisure interference、work home spillover |
WCBA相关的检索关键词 | 工作−生活冲突相关的检索关键词 | |
---|---|---|
中文文献数据库检索关键词 | 工作连通行为、工作性通信工具使用、非工作时间电子沟通、非工作时间移动技术使用、非工作时间社交媒体使用、非工作时间使用手机、非工作时间使用通信技术处理工作、非工作时间在家办公 | 工作-非工作冲突、工作−生活冲突、工作−家庭冲突、工作-休闲冲突 |
英文文献数据库检索关键词 | use of communication technologies after hours、information and communication technologies use after hours、ICTs use after hours、work related communication technology use outside of regular work hours、electronic communication during non-work time、electronic communication time requirements、work related smartphone use during non-work hours、work related smartphone use during leisure、work related smartphone use during off job time、work related smartphone use、smartphone use after work、smartphone use after hours、smartphone use after work hours、smartphone use during after work hours、late night smartphone use、using a smartphone for work purposes、work connectivity behavior after hours、work connectivity behavior during non-work time、technology assisted supplemental work、computer supported supplemental work at home、home based telework、after hours teleworking | work life conflict、work family conflict、work home conflict、work non-work conflict、work leisure conflict、work life interference、work family interference、work home interference、work non-work interference、work leisure interference、work home spillover |
编码项目 | 分类 | 解释 |
---|---|---|
文献信息 | ||
独立样本ID | 1-k | 分别代表不同的独立样本(例如:1和2分别代表两个不同的独立样本) |
文献ID | 1-k (中英文文献分开标记) | 分别代表不同的文献(例如:1和2分别代表两篇不同的文献) |
样本ID | a-n | 分别代表相同文献中的不同独立样本(例如:a和b分别代表同一篇文献中的两个不同独立样本) |
文献题目 | N/A | 文献的完整题目 |
文献类型 | J =期刊论文, T = 学位论文, C = 会议论文 | 正式发表在期刊上的论文, 硕士或博士学位论文, 会议中展示的论文 |
文献来源 | N/A | 期刊论文所属期刊, 学位论文所属学校, 会议论文所属会议 |
作者 | N/A | 文献的全部作者 |
发表时间 | N/A | 文献发表的年份 |
样本信息 | ||
N | N/A | 样本量 |
样本国家或地区 | A = 发展中国家或地区, B = 发达国家或地区 | 样本属于发展中国家或地区, 样本属于发达国家或地区 |
样本所在组织 | S = 单一组织, M=多个组织 | 样本取自单一组织, 样本取自多个组织 |
男性比例 | N/A | 样本中男性员工所占比例 |
管理者比例 | N/A | 样本中管理人员所占比例 |
婚姻比例 | N/A | 样本中已婚员工所占比例 |
抚养子女比例 | N/A | 样本中抚养子女的员工所占比例 |
编码项目 | 分类 | 解释 |
平均年龄 | N/A | 样本中员工的平均年龄 |
平均组织任期 | N/A | 样本中员工的平均工作任期或平均组织任期(若两者均有报告则选取平均工作任期进行编码) |
研究方法信息 | ||
研究设计 | C = 横断面, D = 经验取样法 | 研究设计类型 |
WCBA测量方式 | F=频率, D=时长, E=程度, O=其他 | 测量W_ICT所使用的方式 |
WCBA使用工具 | Phone =基于电话的WCBA, Computer=基于电脑的WCBA, Mixed = 基于混合工具的WCBA | 基于电话的WCBA表示测量中涉及的工具只包括电话类工具(如固定电话、手机和智能手机等); 基于电脑的WCBA表示测量中涉及的工具只包括电脑类工具(如固定电脑、平板电脑和笔记本电脑等); 基于混合工具的WCBA表示测量中同时涉及电话类和电脑类工具(或未提及具体的工具但包含两类工具都能实现的功能) |
WCBA发起方式 | S = 自我发起WCBA, O = 他人发起WCBA, Mixed =混合发起的WCBA | 自我发起WCBA表示测量中只涉及员工自我发起的WCBA; 他人发起WCBA表示测量中只涉及他人对员工发起的WCBA; 混合发起的WCBA表示测量中同时包括自我发起的WCBA和他人发起WCBA (或未提及发起人但同时可由自我发起或他人发起) |
WCBA发生时间 | A = 下班后, Mixed =非工作时间 | 下班后表示测量中只涉及下班后的WCBA; 非工作时间表示测量中同时涉及多种非工作时间(如下班后、周末或假期等)的WCBA |
WCBA发生地点 | H = 家庭中, Mixed =非工作地点 | 家庭中表示测量中只涉及家庭情境中的WCBA; 非工作地点表示测量中同时涉及多种非工作地点(如家庭中、聚会场所等)的WCBA |
工作−生活冲突类型 | WLC=工作−生活冲突, WFC=工作−家庭冲突, WleC=工作-休闲冲突 | 工作−生活冲突表示测量中的冲突发生在广泛的生活情境中; 工作−家庭冲突表示测量中的冲突只发生在家庭情境中; 工作-休闲冲突表示测量中的冲突只发生在休闲情境中 |
工作−生活冲突表现形式 | T = 时间工作−生活冲突, S = 压力工作−生活冲突, B = 行为工作−生活冲突 | 时间工作−生活冲突表示测量中的冲突是由时间引起的; 压力工作−生活冲突表示测量中的冲突是由压力引起的; 行为工作−生活冲突表示测量中的冲突是由工作行为模式引起的 |
工作−生活冲突报告方式 | S = 自我报告, O = 他人报告 | 工作−生活冲突由员工自我报告, 工作−生活冲突由重要他人报告 |
数据信息 | ||
Rxx | N/A | WCBA的信度系数 |
Ryy | N/A | 工作−生活冲突的信度系数 |
Rxy | N/A | WCBA与工作−生活冲突的相关系数 |
Rxy_T | N/A | WCBA与工作−生活冲突的相关系数(信度校正后) |
编码项目 | 分类 | 解释 |
---|---|---|
文献信息 | ||
独立样本ID | 1-k | 分别代表不同的独立样本(例如:1和2分别代表两个不同的独立样本) |
文献ID | 1-k (中英文文献分开标记) | 分别代表不同的文献(例如:1和2分别代表两篇不同的文献) |
样本ID | a-n | 分别代表相同文献中的不同独立样本(例如:a和b分别代表同一篇文献中的两个不同独立样本) |
文献题目 | N/A | 文献的完整题目 |
文献类型 | J =期刊论文, T = 学位论文, C = 会议论文 | 正式发表在期刊上的论文, 硕士或博士学位论文, 会议中展示的论文 |
文献来源 | N/A | 期刊论文所属期刊, 学位论文所属学校, 会议论文所属会议 |
作者 | N/A | 文献的全部作者 |
发表时间 | N/A | 文献发表的年份 |
样本信息 | ||
N | N/A | 样本量 |
样本国家或地区 | A = 发展中国家或地区, B = 发达国家或地区 | 样本属于发展中国家或地区, 样本属于发达国家或地区 |
样本所在组织 | S = 单一组织, M=多个组织 | 样本取自单一组织, 样本取自多个组织 |
男性比例 | N/A | 样本中男性员工所占比例 |
管理者比例 | N/A | 样本中管理人员所占比例 |
婚姻比例 | N/A | 样本中已婚员工所占比例 |
抚养子女比例 | N/A | 样本中抚养子女的员工所占比例 |
编码项目 | 分类 | 解释 |
平均年龄 | N/A | 样本中员工的平均年龄 |
平均组织任期 | N/A | 样本中员工的平均工作任期或平均组织任期(若两者均有报告则选取平均工作任期进行编码) |
研究方法信息 | ||
研究设计 | C = 横断面, D = 经验取样法 | 研究设计类型 |
WCBA测量方式 | F=频率, D=时长, E=程度, O=其他 | 测量W_ICT所使用的方式 |
WCBA使用工具 | Phone =基于电话的WCBA, Computer=基于电脑的WCBA, Mixed = 基于混合工具的WCBA | 基于电话的WCBA表示测量中涉及的工具只包括电话类工具(如固定电话、手机和智能手机等); 基于电脑的WCBA表示测量中涉及的工具只包括电脑类工具(如固定电脑、平板电脑和笔记本电脑等); 基于混合工具的WCBA表示测量中同时涉及电话类和电脑类工具(或未提及具体的工具但包含两类工具都能实现的功能) |
WCBA发起方式 | S = 自我发起WCBA, O = 他人发起WCBA, Mixed =混合发起的WCBA | 自我发起WCBA表示测量中只涉及员工自我发起的WCBA; 他人发起WCBA表示测量中只涉及他人对员工发起的WCBA; 混合发起的WCBA表示测量中同时包括自我发起的WCBA和他人发起WCBA (或未提及发起人但同时可由自我发起或他人发起) |
WCBA发生时间 | A = 下班后, Mixed =非工作时间 | 下班后表示测量中只涉及下班后的WCBA; 非工作时间表示测量中同时涉及多种非工作时间(如下班后、周末或假期等)的WCBA |
WCBA发生地点 | H = 家庭中, Mixed =非工作地点 | 家庭中表示测量中只涉及家庭情境中的WCBA; 非工作地点表示测量中同时涉及多种非工作地点(如家庭中、聚会场所等)的WCBA |
工作−生活冲突类型 | WLC=工作−生活冲突, WFC=工作−家庭冲突, WleC=工作-休闲冲突 | 工作−生活冲突表示测量中的冲突发生在广泛的生活情境中; 工作−家庭冲突表示测量中的冲突只发生在家庭情境中; 工作-休闲冲突表示测量中的冲突只发生在休闲情境中 |
工作−生活冲突表现形式 | T = 时间工作−生活冲突, S = 压力工作−生活冲突, B = 行为工作−生活冲突 | 时间工作−生活冲突表示测量中的冲突是由时间引起的; 压力工作−生活冲突表示测量中的冲突是由压力引起的; 行为工作−生活冲突表示测量中的冲突是由工作行为模式引起的 |
工作−生活冲突报告方式 | S = 自我报告, O = 他人报告 | 工作−生活冲突由员工自我报告, 工作−生活冲突由重要他人报告 |
数据信息 | ||
Rxx | N/A | WCBA的信度系数 |
Ryy | N/A | 工作−生活冲突的信度系数 |
Rxy | N/A | WCBA与工作−生活冲突的相关系数 |
Rxy_T | N/A | WCBA与工作−生活冲突的相关系数(信度校正后) |
调节变量(具体指标) | k | N | b | SE | t | p | 95% CI | Q | I2 |
---|---|---|---|---|---|---|---|---|---|
工作职位(管理者比例) | 31 | 9020 | 0.02 | 0.11 | 0.17 | 0.87 | [−0.19, 0.23] | 178.90*** | 84.87% |
性别(男性比例) | 67 | 30498 | −0.02 | 0.11 | −0.17 | 0.87 | [−0.23, 0.19] | 506.87*** | 89.24% |
婚姻状况(已婚比例) | 41 | 18986 | −0.26 | 0.09 | −2.75 | < 0.01 | [−0.44, −0.07] | 146.95*** | 73.73% |
子女抚养状况(抚养子女比例) | 30 | 16848 | −0.28 | 0.10 | −2.77 | < 0.01 | [−0.49, −0.07] | 155.46*** | 82.75% |
年龄(平均年龄) | 40 | 19523 | 0.00 | 0.004 | 0.006 | 0.99 | [−0.01, 0.01] | 205.80*** | 85.93% |
组织任期(平均组织任期) | 9 | 2903 | −0.02 | 0.01 | −1.35 | 0.22 | [−0.04, 0.01] | 51.53*** | 85.99% |
调节变量(具体指标) | k | N | b | SE | t | p | 95% CI | Q | I2 |
---|---|---|---|---|---|---|---|---|---|
工作职位(管理者比例) | 31 | 9020 | 0.02 | 0.11 | 0.17 | 0.87 | [−0.19, 0.23] | 178.90*** | 84.87% |
性别(男性比例) | 67 | 30498 | −0.02 | 0.11 | −0.17 | 0.87 | [−0.23, 0.19] | 506.87*** | 89.24% |
婚姻状况(已婚比例) | 41 | 18986 | −0.26 | 0.09 | −2.75 | < 0.01 | [−0.44, −0.07] | 146.95*** | 73.73% |
子女抚养状况(抚养子女比例) | 30 | 16848 | −0.28 | 0.10 | −2.77 | < 0.01 | [−0.49, −0.07] | 155.46*** | 82.75% |
年龄(平均年龄) | 40 | 19523 | 0.00 | 0.004 | 0.006 | 0.99 | [−0.01, 0.01] | 205.80*** | 85.93% |
组织任期(平均组织任期) | 9 | 2903 | −0.02 | 0.01 | −1.35 | 0.22 | [−0.04, 0.01] | 51.53*** | 85.99% |
[1] | *表示纳入元分析的文献 |
[2] | * 卜纯. (2017). 工作性通信工具使用、心理脱离与工作-家庭冲突的关系研究:工作中心性的调节作用 [硕士学位论文]. 西南财经大学, 成都. |
[3] | 程欢, 陈丝璐, 郭凯莉. (2023). 非工作时间与工作相关电子沟通的研究评述与未来展望. 中国人力资源开发, 40(1), 6-20. |
[4] |
方俊燕, 张敏强. (2020). 元回归中效应量的最小个数需求:基于统计功效和估计精度. 心理科学进展, 28(4), 673-686.
doi: 10.3724/SP.J.1042.2020.00673 |
[5] | * 高莹. (2023). 非工作时间工作连通行为对员工工作投入和工作倦怠的影响研究 [硕士学位论文]. 陕西科技大学, 西安. |
[6] | * 刘富玮. (2021). 非工作时间电子沟通对工作-家庭冲突的影响 [硕士学位论文]. 中南财经政法大学, 武汉. |
[7] | * 马红宇, 谢菊兰, 唐汉瑛, 申传刚, 张晓翔. (2016). 工作性通信工具使用与双职工夫妻的幸福感:基于溢出-交叉效应的分析. 心理学报, 48(1), 48-58. |
[8] | * 马红宇, 周殷, 谢菊兰, 张晓翔. (2014). 心理脱离在工作连通行为与工作、家庭冲突间的中介作用. 中国健康心理学杂志, 22(3), 389-391. |
[9] | * 孟雨晴. (2022). 非工作时间工作连通行为对工作家庭冲突的影响研究 [硕士学位论文]. 对外经济贸易大学, 北京. |
[10] | * 聂琦, 张捷, 彭坚, 毕砚昭. (2021). 工作连通行为的双刃剑效应:多重任务倾向的调节作用. 心理科学, 44(2), 347-354. |
[11] | 前程无忧. (2022). 九成职场人要加班, 其中四成没补偿, 你为什么还加班? 2024-03-06, 取自 https://mp.weixin.qq.com/s/VgbG07apVs7v93gZHgiycg |
[12] | * 王嘉豪. (2022). 非工作时间工作连通行为对新生代员工离职倾向的影响研究 [硕士学位论文]. 西南大学, 重庆. |
[13] | 王震, 陈子媚, 宋萌. (2021). 工作、家庭难兼顾?工作-家庭资源模型在组织管理研究中的应用与发展. 中国人力资源开发, 38(11), 58-79. |
[14] | * 吴洁倩, 张译方, 王桢. (2018). 员工非工作时间连通行为会引发工作家庭冲突?心理脱离与组织分割供给的作用. 中国人力资源开发, 35(12), 43-54. |
[15] | * 谢菊兰. (2014). 非工作时间的工作性通信工具使用行为与幸福感的关系:基于251对双职工夫妻配对数据的研究 [硕士学位论文]. 华中师范大学, 武汉. |
[16] | * 谢菊兰. (2017). 工作性通信工具使用与工作幸福感的关系:夫妻双方边界管理特征的调节作用 [博士学位论文]. 华中师范大学, 武汉. |
[17] | * 杨春晖. (2020). 高新企业员工工作连通行为对工作-家庭冲突的影响研究 [硕士学位论文]. 浙江工商大学, 杭州. |
[18] | * 杨曼怡. (2021). 工作连通行为对工作-休闲冲突的影响机制研究 [硕士学位论文]. 中南财经政法大学, 武汉. |
[19] | 叶萌, 唐汉瑛, 谢菊兰, 马红宇, 岳闪闪. (2018). 非工作时间使用通信技术处理工作的“双刃剑”效应及心理机制. 心理科学, 41(1), 160-166. |
[20] | 袁硕, 唐贵瑶. (2018). 工作连通行为研究述评与展望. 外国经济与管理, 40(9), 112-125. |
[21] | * 张光磊, 郑维丽, 李铭泽. (2020). 非工作时间电子沟通对领导有效性的影响:一项经验取样的日志研究. 商业经济与管理, 11, 35-49. |
[22] | * 张雪冰. (2013). 分割文化对高校辅导员工作-家庭冲突的影响:非工作时间工作连通行为的中介作用 [硕士学位论文]. 华中师范大学, 武汉. |
[23] | * 张嫣然. (2016). 移动互联催生的工作连通行为对工作生活冲突的影响研究 [硕士学位论文]. 东北财经大学, 大连. |
[24] |
* 周密, 颜雪, 罗露阳. (2021). 非工作时间内移动技术使用对工作家庭冲突的影响. 东北大学学报(社会科学版), 23(2), 29-37.
doi: 10.15936/j.cnki.1008-3758.2021.02.005 |
[25] | * Adkins C. L., & Premeaux S. A. (2014). The use of communication technology to manage work-home boundaries. Journal of Behavioral and Applied Management, 15(2), 82-100. |
[26] | Adkins C. L., & Premeaux S. F. (2012). Spending time: The impact of hours worked on work-family conflict. Journal of Vocational Behavior, 80(2), 380-389. |
[27] |
Allen T. D., Herst D. E. L., Bruck C. S., & Sutton M. (2000). Consequences associated with work-to-family conflict: A review and agenda for future research. Journal of Occupational Health Psychology, 5(2), 278-308.
doi: 10.1037//1076-8998.5.2.278 pmid: 10784291 |
[28] |
Amstad F. T., Meier L. L., Fasel U., Elfering A., & Semmer N. K. (2011). A meta-analysis of work-family conflict and various outcomes with a special emphasis on cross-domain versus matching-domain relations. Journal of Occupational Health Psychology, 16(2), 151-169.
doi: 10.1037/a0022170 pmid: 21280939 |
[29] |
Arlinghaus A., & Nachreiner F. (2014). Health effects of supplemental work from home in the European Union. Chronobiology International, 31(10), 1100-1107.
doi: 10.3109/07420528.2014.957297 pmid: 25229274 |
[30] |
Barnett R. C., & Hyde J. S. (2001). Women, men, work, and family: An expansionist theory. American Psychologist, 56(10), 781-796.
doi: 10.1037//0003-066x.56.10.781 pmid: 11675985 |
[31] |
Begg C. B., & Mazumdar M. (1994). Operating characteristics of a rank correlation test for publication bias. Biometrics, 50(4), 1088-1101.
pmid: 7786990 |
[32] | Bennett A. A., Bakker A. B., & Field J. G. (2018). Recovery from work-related effort: A meta-analysis. Journal of Organizational Behavior, 39(3), 262-275. |
[33] | Borenstein M., Hedges L. V., Higgins J. P. T., & Rothstein H. R. (2009). Introduction to Meta-Analysis. Wiley. |
[34] | * Boswell W. R., & Olson-Buchanan J. B. (2007). The use of communication technologies after hours: The role of work attitudes and work-life conflict. Journal of Management, 33(4), 592-610. |
[35] | * Braukmann J. (2017). Information and communication technology use and work-life balance: The effect of constant availability from a national and cross-cultural perspective [Unpublished doctorial dissertation]. University of Kassel. |
[36] | * Brown W. S., & Palvia P. (2015). Are mobile devices threatening your work-life balance? International Journal of Mobile Communications, 13(3), 317-338. |
[37] | * Butts M. M., Becker W. J., & Boswell W. R. (2015). Hot buttons and time sinks: The effects of electronic communication during nonwork time on emotions and work-nonwork conflict. Academy of Management Journal, 58(3), 763-788. |
[38] | Byron K. (2005). A meta-analytic review of work-family conflict and its antecedents. Journal of Vocational Behavior, 67(2), 169-198. |
[39] | Carlson D. S., Kacmar K. M., & Williams L. J. (2000). Construction and initial validation of a multidimensional measure of work-family conflict. Journal of Vocational Behavior, 56(2), 249-276. |
[40] |
* Carlson D. S., Thompson M. J., Crawford W. S., Boswell W. R., & Whitten G. D. (2018). Your job is messing with mine! The impact of mobile device use for work during family time on the spouse's work life. Journal of Occupational Health Psychology, 23(4), 471-482.
doi: 10.1037/ocp0000103 pmid: 29215910 |
[41] | * Carvalho V. S., Correia I., & Chambel M. J. (2021). Is it ok to be connected outside the office? The impact on well-being at work and the mediating role of the work and family relationship. International Journal of Organizational Analysis, 30(6), 1856-1874. |
[42] | * Chen Y. S. (2019). It helps leaders, but harms followers: An experience sampling study of work-family interference and smartphone use in leader-follower dyads. Journal of Management and Business Research, 36(4), 343-367. |
[43] | Chiaburu D. S., Lorinkova N. M., & Van Dyne L. (2013). Employees' social context and change-oriented citizenship: A meta-analysis of leader, coworker, and organizational influences. Group and Organization Management, 38(3), 291-333. |
[44] | Cho S., Kim S., Chin S. W., & Ahmad U. (2020). Daily effects of continuous ICT demands on work-family conflict: Negative spillover and role conflict. Stress and Health, 36(4), 533-545. |
[45] | Cinamon R. G., & Rich Y. (2002). Profiles of attribution of importance to life roles and their implications for the work-family conflict. Journal of Counseling Psychology, 49(2), 212-220. |
[46] |
Dahlke J. A., & Wiernik B. M. (2019). Psychmeta: An R package for psychometric meta-analysis. Applied Psychological Measurement, 43(5), 415-416.
doi: 10.1177/0146621618795933 pmid: 31235986 |
[47] | * Derks D., & Bakker A. B. (2014). Smartphone use, work- home interference, and burnout: A diary study on the role of recovery. Applied Psychology: An International Review, 63(3), 411-440. |
[48] | * Derks D., Bakker A. B., Peters P., & Van Wingerden P. (2016). Work-related smartphone use, work-family conflict and family role performance: The role of segmentation preference. Human Relations, 69(5), 1045-1068. |
[49] | * Derks D., Duin D. V., Tims M., & Bakker A. B. (2015). Smartphone use and work-home interference: The moderating role of social norms and employee work engagement. Journal of Occupational and Organizational Psychology, 88(1), 155-177. |
[50] | * Derks D., ten Brummelhuis L. L., Zecic D., & Bakker A. B. (2014). Switching on and off … : Does smartphone use obstruct the possibility to engage in recovery activities? European Journal of Work and Organizational Psychology, 23(1), 80-90. |
[51] | * Diaz I., Dan S. C., Zimmerman R. D., & Boswell W. R. (2012). Communication technology: Pros and cons of constant connection to work. Journal of Vocational Behavior, 80(2), 500-508. |
[52] | Dickersin K., Min Y. I., & Meinert C. L. (1992). Factors influencing publication of research results: Follow-up of applications submitted to two institutional review boards. Journal of the American Medical Association, 267(3), 374-378. |
[53] | Dong M., Zhang T., Li Y., & Ren Z. (2022). The effect of work connectivity behavior after-hours on employee psychological distress: The role of leader workaholism and work-to-family conflict. Frontiers in Public Health, 10, Article 722679. https://doi.org/10.3389/fpubh.2022.722679 |
[54] | Ďuranová L., & Ohly S. (2016). Persistent work-related technology use, recovery and well-being processes: Focus on supplemental work after hours. Springer. |
[55] |
Duval S., & Tweedie R. (2000). Trim and fill: A simple funnel-plot-based method of testing and adjusting for publication bias in meta-analysis. Biometrics, 56(2), 455-463.
doi: 10.1111/j.0006-341x.2000.00455.x pmid: 10877304 |
[56] | Eby L. T., Casper W. J., Lockwood A., Bordeaux C., & Brinley A. (2005). Work and family research in IO/OB: Content analysis and review of the literature (1980-2002). Journal of Vocational Behavior, 66(1), 124-197. |
[57] | Egger M., Smith G. D., Schneider M., & Minder C. (1997). Bias in meta-analysis detected by a simple, graphical test. British Medical Journal, 315(7109), 629-634. |
[58] | Eichberger C., Derks D., & Zacher H. (2022). A daily diary study on technology-assisted supplemental work, unfinished tasks, and sleep: The role of problem-solving pondering. International Journal of Stress Management, 29(1), 61-74. |
[59] | Eichberger C., & Zacher H. (2021). Toward definitional clarity of technology-assisted supplemental work: A bridge over muddied waters. Industrial and Organizational Psychology: Perspectives on Science and Practice, 14(3), 428-431. |
[60] | * Fender C. M. (2010). Electronic tethering: Perpetual wireless connectivity to the organization [Unpublished doctorial dissertation]. Drexel University, Philadelphia. |
[61] | Fenner G. H., & Renn R. W. (2004). Technology-assisted supplemental work: Construct definition and a research framework. Human Resource Management, 43(2-3), 179-200. |
[62] | * Fenner G. H., & Renn R. W. (2010). Technology-assisted supplemental work and work-to-family conflict: The role of instrumentality beliefs, organizational expectations and time management. Human Relations, 63(1), 63-82. |
[63] |
* Ferguson M., Carlson D., Boswell W., Whitten D., Butts M. M., & Kacmar K. M. (2016). Tethered to work: A family systems approach linking mobile device use to turnover intentions. Journal of Applied Psychology, 101(4), 520-534.
doi: 10.1037/apl0000075 pmid: 26653530 |
[64] |
Ford M. T., Heinen B. A., & Langkamer K. L. (2007). Work and family satisfaction and conflict: A meta-analysis of cross-domain relations. Journal of Applied Psychology, 92(1), 57-80.
doi: 10.1037/0021-9010.92.1.57 pmid: 17227151 |
[65] | * Gadeyne N., Darouei M., Verbruggen M., Delanoeije J., & op de Beeck S. (2023). Do behavioural intentions matter? A diary study on work-related ICT-use after work hours. European Journal of Work and Organizational Psychology, 32(5), 746-759. |
[66] | * Gadeyne N., Verbruggen M., Delanoeije J., & De Cooman R. (2018). All wired, all tired? Work-related ICT-use outside work hours and work-to-home conflict: The role of integration preference, integration norms and work demands. Journal of Vocational Behavior, 107, 86-99. |
[67] | Galinsky E., Aumann K., & Bond J. T. (2013). Times are changing:Gender and generation at work and at home in the USA. In S.Poelmans, J. H.Greenhaus, & M. L. H.Maestro (Eds.), Expanding the boundaries of work-family research: A vision for the future (pp. 279-296). Palgrave Macmillan London. |
[68] | Gephart R. P. (2002). Introduction to the brave new workplace: Organizational behavior in the electronic age. Journal of Organizational Behavior, 23(4), 327-344. |
[69] | Geurts S. A. E., Taris T. W., Kompier M. A. J., Dikkers J. S. E., Van Hooff M. L. M., & Kinnunen U. M. (2005). Work-home interaction from a work psychological perspective: Development and validation of a new questionnaire, the SWING. Work and Stress, 19(4), 319-339. |
[70] | GFI Software. (2014). No escape from company email as work/life divide disappears (UK). Retrieved August 20, 2021, from http://www.gfi.com/company/press/2014/07/no-escapefrom-company-email-as-worklife-divide-disappears-uk |
[71] | * Golden T. D. (2012). Altering the effects of work and family conflict on exhaustion: Telework during traditional and nontraditional work hours. Journal of Business and Psychology, 27(3), 255-269. |
[72] | Greenhaus J. H., & Beutell N. J. (1985). Sources of conflict between work and family roles. Academy of Management Review, 10(1), 76-88. |
[73] | Gutek B. A., Searle S., & Klepa L. (1991). Rational versus gender role explanations for work-family conflict. Journal of Applied Psychology, 76(4), 560-568. |
[74] | Hedges L. V., & Olkin I. (1985). Statistical methods for meta-analysis. Academic Press. |
[75] | * Heissler C., Ohly S., & Kern M. (2024). "Dear Manager, now I know what you expect": Examining availability ambiguity in two studies. German Journal of Human Resource Management, 38(3), 259-282. |
[76] | Hobfoll S. E. (2002). Social and psychological resources and adaptation. Review of General Psychology, 6(4), 307-324. |
[77] | Hu X., Barber L. K., Park Y., & Day A. (2021). Defrag and reboot? Consolidating information and communication technology research in I-O psychology. Industrial and Organizational Psychology: Perspectives on Science and Practice, 14(3), 371-396. |
[78] | Hunter J. E., & Schmidt F. L. (2004). Methods of meta- analysis: Correcting error and bias in research findings (2nd ed.). Sage. |
[79] | * Jostell D., & Hemlin S. (2018). After hours teleworking and boundary management: Effects on work-family conflict. Work: A Journal of Prevention, Assessment and Rehabilitation, 60(3), 475-483. |
[80] | Kepes S., Banks G. C., McDaniel M., & Whetzel D. L. (2012). Publication bias in the organizational sciences. Organizational Research Methods, 15(4), 624-662. |
[81] | * Khalid J., Weng Q. D., Luqman A., Rasheed M. I., & Hina M. (2022). After-hours work-related technology use and individuals' deviance: The role of other-initiated versus self-initiated interruptions. Information Technology and People, 35(7), 1955-1979. |
[82] | Kossek E. E., & Ozeki C. (1998). Work-family conflict, policies, and the job-life satisfaction relationship: A review and directions for organizational behavior human resources research. Journal of Applied Psychology, 83(2), 139-149. |
[83] | * Kost D., Kopperud K., Buch R., Kuvaas B., & Olsson U. H. (2023). The competing influence of psychological job control on family-to-work conflict. Journal of Occupational and Organizational Psychology, 96(2), 351-377. |
[84] | * Kotecha K., Ukpere W. I., & Geldenhuys M. (2014). The effect of family relationships on technology-assisted supplemental work and work-life conflict among academics. Mediterranean Journal of Social Sciences, 5(10), 516-527. |
[85] | Lanaj K., Johnson R. E., & Barnes C. M. (2014). Beginning the workday yet already depleted? Consequences of late- night smartphone use and sleep. Organizational Behavior and Human Decision Processes, 124(1), 11-23. |
[86] | Liao H., Su R., Ptashnik T., & Nielsen J. (2022). Feeling good, doing good, and getting ahead: A meta-analytic investigation of the outcomes of prosocial motivation at work. Psychological Bulletin, 148(3-4), 158-198. |
[87] | * Mansour S., Mohanna D., & Tremblay D.-G. (2022). The dark side of hyperconnectivity in the accounting profession. Journal of Accounting and Organizational Change, 18(5), 685-703. |
[88] | Michel J. S., Kotrba L. M., Mitchelson J. K., Clark M. A., & Baltes B. B. (2011). Antecedents of work-family conflict: A meta-analytic review. Journal of Organizational Behavior, 32(5), 689-725. |
[89] |
Moher D., Liberati A., Tetzlaff J., Altman D. G., & The PRISMA Group. (2009). Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement. Journal of Clinical Epidemiology, 62(10), 1006-1012.
doi: 10.1016/j.jclinepi.2009.06.005 pmid: 19631508 |
[90] | * Moore A. T. (2018). Computers, cell phones, and social media: How after-hours communication impacts work-life balance and job satisfaction [Unpublished doctorial dissertation]. Regent University, Virginia Beach. |
[91] | Mosier C. I. (1943). On the reliability of a weighted composite. Psychometrika, 8(3), 161-168. |
[92] | Netemeyer R. G., Boles J. S., & McMurrian R. (1996). Development and validation of work-family conflict and family-work conflict scales. Journal of Applied Psychology, 81(4), 400-410. |
[93] |
Nohe C., Meier L. L., Sonntag K., & Michel A. (2015). The chicken or the egg? A meta-analysis of panel studies of the relationship between work-family conflict and strain. Journal of Applied Psychology, 100(2), 522-536.
doi: 10.1037/a0038012 pmid: 25285385 |
[94] | Noor N. M. (2002). The moderating effect of spouse support on the relationship between work variables and women’s work-family conflict. Psychologia, 45(1), 12-23. |
[95] | Perlow L. A. (2012). Sleeping with your smartphone: How to break the 24/7 habit and change the way you work. Harvard Business Review Press. |
[96] | Prasopoulou E., Pouloudi A., & Panteli N. (2006). Enacting new temporal boundaries: The role of mobile phones. European Journal of Information Systems, 15(3), 277-284. |
[97] | Ren S., Hu J., Tang G., & Chadee D. (2023). Digital connectivity for work after hours: Its curvilinear relationship with employee job performance. Personnel Psychology, 76(3), 731-757. |
[98] | Richardson K. M., & Benbunan-Fich R. (2011). Examining the antecedents of work connectivity behavior during non- work time. Information and Organization, 21(3), 142-160. |
[99] | * Richardson K. M., & Thompson C. A. (2012). High tech tethers and work-family conflict: A conservation of resources approach. Engineering Management Research, 1(1), 29-43. |
[100] | Rosenthal R. (1979). The file drawer problem and tolerance for null results. Psychological Bulletin, 86(3), 638-641. |
[101] |
Roth P. L., Le H., Oh I. S., Van Iddekinge C. H., & Bobko P. (2018). Using beta coefficients to impute missing correlations in meta-analysis research: Reasons for caution. Journal of Applied Psychology, 103(6), 644-658.
doi: 10.1037/apl0000293 pmid: 29369653 |
[102] | Rothstein H. R., Sutton A. J., & Borenstein M. (2005). Publication bias in meta-analysis: Prevention, assessment and adjustments. Wiley. |
[103] | * Schieman S., & Young M. C. (2013). Are communications about work outside regular working hours associated with work-to-family conflict, psychological distress and sleep problems? Work and Stress, 27(3), 244-261. |
[104] | Schlachter S., McDowall A., Cropley M., & Inceoglu I. (2018). Voluntary work-related technology use during non-work time: A narrative synthesis of empirical research and research agenda. International Journal of Management Reviews, 20(4), 825-846. |
[105] | * Senarathne Tennakoon K. L. U. (2011). Empowerment or enslavement: ICT use and work-life balance of managers and professionals [Unpublished doctorial dissertation]. University of Calgary. |
[106] | * Son J. S., & Chen C. C. (2018). Does using a smartphone for work purposes "ruin" your leisure? Examining the role of smartphone use in work-leisure conflict and life satisfaction. Journal of Leisure Research, 49(3-5), 236-257. |
[107] |
ten Brummelhuis L. L., & Bakker A. B. (2012). A resource perspective on the work-home interface: The work-home resources model. American Psychologist, 67(7), 545-556.
doi: 10.1037/a0027974 pmid: 22506688 |
[108] | Tsaur S. H., Liang Y. W., & Hsu H. J. (2012). A multidimensional measurement of work-leisure conflict. Leisure Sciences, 34(5), 395-416. |
[109] | * Usmani S., & Das H. (2021). Technology assisted supplemental work, work life enrichment and work-family conflict: The moderating role of time management. City University Research Journal, 11(1), 36-59. |
[110] | * van Zoonen W., Sivunen A., & Rice R. E. (2020). Boundary communication: How smartphone use after hours is associated with work-life conflict and organizational identification. Journal of Applied Communication Research, 48(3), 372-392. |
[111] | Viechtbauer W. (2010). Conducting meta-analyses in R with the metafor package. Journal of Statistical Software, 36(3), 1-48. |
[112] |
Viechtbauer W., & Cheung M. W. (2010). Outlier and influence diagnostics for meta-analysis. Research Synthesis Methods, 1(2), 112-125.
doi: 10.1002/jrsm.11 pmid: 26061377 |
[113] |
* Voydanoff P. (2005). Consequences of boundary-spanning demands and resources for work-to-family conflict and perceived stress. Journal of Occupational Health Psychology, 10(4), 491-503.
pmid: 16248695 |
[114] | * Wan M. M., Shaffer M. A., Lau T., & Cheung E. (2019). The knife cuts on both sides: Examining the relationship between cross domain communication and work-family interface. Journal of Occupational and Organizational Psychology, 92(4), 978-1019. |
[115] | * Wang F., Zhang Z., & Shi W. (2023). Relationship between daily work connectivity behavior after hours and work-leisure conflict: Role of psychological detachment and segmentation preference. PsyCh Journal, 12(2), 250-262. |
[116] | * Wang H., Liu P., Zhao X., Li A., & Xiao C. (2022). Work- related use of information and communication technologies after hours (W_ICTs) and work-family conflict: A moderated mediation model. Sage Open, 12(3), 1-12. |
[117] | * Wang Z., Chen X., & Duan Y. (2017). Communication technology use for work at home during off-job time and work-family conflict: The roles of family support and psychological detachment. Anales De Psicologia, 33(1), 93-101. |
[118] | * Ward S., & Steptoe-Warren G. (2014). A conservation of resources approach to BlackBerry use, work-family conflict and well-being: Job control and psychological detachment from work as potential mediators. Engineering Management Research, 3(1), 8-23. |
[119] | * Wilkinson S., & Haar J. (2023). Smartdevice use in a COVID-19 world: Exploring work-family conflict and turnover intentions. Asia Pacific Journal of Human Resources, 61(4), 981-1007. |
[120] | * Wilson M. S. (2013). Drivers and outcomes of responsiveness to technological interruptions from work during nonwork time [Unpublished doctorial dissertation]. University of Illinois at Chicago. |
[121] | Workplace Options Survey. (2014). Americans doing more after-hours work from their own mobile devices. Retrieved August 20, 2021, from https://www.workplaceoptions.com/polls/americans-doing-more-after-hours-work-from-their-own-mobile-devices/ |
[122] | * Wright K. B., Abendschein B., Wombacher K., O'Connor M., Hoffman M., Dempsey M.,... Shelton A. (2014). Work-related communication technology use outside of regular work hours and work life conflict: The influence of communication technologies on perceived work life conflict, burnout, job satisfaction, and turnover intentions. Management Communication Quarterly, 28(4), 507-530. |
[123] | * Yang J., Zhang Y., Shen C., Liu S., & Zhang S. (2019). Work-family segmentation preferences and work-family conflict: Mediating effect of work-related ICT use at home and the multilevel moderating effect of group segmentation norms. Frontiers in Psychology, 10, Article 834. https://doi.org/10.3389/fpsyg.2019.00834 |
[124] | * Yang Y., Yan R., & Meng Y. (2022). Can't disconnect even after-hours: How work connectivity behavior after-hours affects employees' thriving at work and family. Frontiers in Psychology, 13, Article 865776. https://doi.org/10.3389/fpsyg.2022.865776 |
[125] | Yue C. A. (2022). The paradox of using public social media for work: The influence of after-hours work communication on employee outcomes. Journal of Business Research, 149, 748-759. |
[126] | * Zhang R. P., & Bowen P. (2021). Work-family role blurring and conflict among South African construction professionals. Construction Management and Economics, 39(6), 475-492. |
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