| Literature DB >> 34349697 |
Jianlan Chen1, Yu Tian1.
Abstract
Various studies have demonstrated that work-to-family enrichment (WFE) benefits employees in both the work and home domains. However, these findings may overstate the benefits of WFE and ignore its potential dark side. We advance the research on WFE by integrating conflict theory into the concept of WFE to investigate whether and how employee-spouse perceptual congruence in employee WFE influences employee family cohesion and emotional exhaustion. The results of polynomial regressions on 225 employee and spouse dyads revealed that the perceptual congruence in employee WFE between employees and spouses was negatively associated with relationship conflict. Additionally, asymmetrical incongruence effects were found, wherein spouses perceived a higher relationship conflict with employees when their perceptions of employee WFE were lower than those of the employees. Furthermore, spouses' perceived relationship conflict with employees mediated the influences of employee-spouse perceptual congruence in employee WFE on employee family cohesion and emotional exhaustion.Entities:
Keywords: congruence; emotional exhaustion; family cohesion; relationship conflict; work-to-family enrichment
Year: 2021 PMID: 34349697 PMCID: PMC8328474 DOI: 10.3389/fpsyg.2021.660987
Source DB: PubMed Journal: Front Psychol ISSN: 1664-1078
Figure 1Theoretical model for the current research.
Means, standard deviations, and correlations among variables.
| 1. Gender | 0.510 | 0.501 | |||||||||
| 2. Age dissimilarity | 2.244 | 3.401 | −0.005 | ||||||||
| 3. Education dissimilarity | 0.333 | 0.526 | 0.017 | 0.328 | |||||||
| 4. Employee WFC | 2.459 | 0.921 | −0.183 | −0.055 | −0.076 | ||||||
| 5. Employee WFE (employee–rated) | 3.387 | 0.828 | 0.085 | −0.051 | −0.131 | −0.025 | |||||
| 6. Employee WFE (spouse-rated) | 3.900 | 0.821 | 0.126 | 0.094 | 0.121 | −0.073 | −0.053 | ||||
| 7. Relationship conflict | 1.113 | 0.321 | 0.005 | −0.017 | 0.111 | 0.136 | 0.105 | −0.200 | |||
| 8. Family cohesion | 3.914 | 0.762 | 0.038 | 0.053 | 0.035 | −0.207 | −0.015 | 0.313 | −0.278 | ||
| 9. Emotional exhaustion | 3.714 | 0.627 | −0.067 | 0.077 | −0.026 | 0.062 | −0.201 | −0.085 | 0.143 | −0.002 |
N = 225.
p < 0.10.
p < 0.05.
p < 0.01.
Model fit results for confirmatory factor analyses.
| Four-factor: WFE; RC; FC; EE | 75.980 | 71 | 0.994 | 0.992 | 0.018 | 0.044 | |
| Three-factor: WFE; RC + FC; EE | 163.159 | 74 | 87.179 | 0.892 | 0.867 | 0.073 | 0.071 |
| Three-factor: WFE + EE; RC; FC | 224.496 | 74 | 148.516 | 0.818 | 0.776 | 0.095 | 0.087 |
| Two-factor: WFE + EE; RC + FC | 302.536 | 76 | 226.556 | 0.726 | 0.672 | 0.115 | 0.099 |
| Single-factor: WFE + EE + RC + FC | 690.926 | 77 | 614.946 | 0.257 | 0.121 | 0.188 | 0.174 |
N = 225.
p < 0.01. All alternative models were compared with the hypothesized four-factor model. CFI, comparative fit index; TLI, Tucker–Lewis index; RMSEA, root mean square error of approximation; SRMR, standardized root mean square residual; WFE, work-to-family enrichment; RC, relationship conflict; FC, family cohesion; EE, emotional exhaustion.
Polynomial regressions of relationship conflict, family cohesion, and emotional exhaustion on WFE congruence.
| Constant | 0.949 | 0.918 | 4.027 | 4.479 | 3.676 | 3.414 |
| Gender | 0.028 (0.043) | 0.039 (0.043) | −0.016 (0.096) | 0.003 (0.094) | −0.036 (0.085) | −0.047 (0.085) |
| Age dissimilarity | −0.004 (0.006) | −0.004 (0.006) | 0.007 (0.014) | 0.005 (0.014) | 0.017 (0.013) | 0.019 (0.013) |
| Education dissimilarity | 0.107 | 0.105 | −0.053 (0.094) | −0.001 (0.093) | −0.082 (0.083) | −0.112 (0.084) |
| WFC | 0.050 | 0.050 (0.024) | −0.084 (0.053) | −0.059 (0.053) | 0.010 (0.048) | −0.004 (0.048) |
| Employee WFE ( | 0.044 (0.025) | 0.048 (0.026) | 0.032 (0.059) | 0.056 (0.058) | −0.155 | −0.169 |
| Spouse WFE ( | −0.081 | −0.087 | 0.427 | 0.384 | −0.111 (0.058) | −0.086 (0.059) |
| 0.019 (0.024) | −0.061 (0.055) | −0.051 (0.054) | 0.058 (0.049) | 0.053 (0.048) | ||
| −0.076 (0.029) | 0.072 (0.065) | 0.034 (0.065) | −0.112 (0.058) | −0.090 (0.058) | ||
| 0.014 (0.022) | 0.221 | 0.228 | −0.038 (0.045) | −0.042 (0.044) | ||
| Relationship conflict | −0.493 | 0.285 | ||||
| 0.093 | 0.124 | 0.179 | 0.215 | 0.088 | 0.107 | |
| Δ | 0.093 | 0.031 | 0.179 | 0.038 | 0.088 | 0.019 |
| Slope ( | −0.039 | 0.459 | 0.440 | −0.266 | −0.255 | |
| Curvature ( | −0.043 | 0.232 | 0.211 | −0.092 | −0.079 | |
| Slope ( | 0.135 | −0.395 | −0.329 | −0.044 | −0.083 | |
| Curvature ( | 0.109 | 0.088 | 0.142 | 0.132 | 0.101 | |
| 2.663 | 7.214 | 1.967 | ||||
N = 225. Unstandardized regression coefficients and standard errors are reported.
p < 0.10.
p < 0.05.
p < 0.01.
Figure 2The congruence effects of employee-rated and spouse-rated employee WFE on relationship conflict.
Results from tests of direct and indirect effects of congruence/incongruence in WFE on relationship conflict, family cohesion, and emotional exhaustion.
| Block variable | 1.010** (0.277) | −1.326* (0.661) | 0.067 (0.499) |
| Relationship conflict | −0.554* (0.236) | 0.294* (0.120) | |
| Indirect effect | −0.560* | 0.297* | |
| 95% Bootstrapped bias-corrected CIs for the indirect effect | [−1.122, −0.126] | [0.070, 0.692] |
N = 225. Unstandardized regression coefficients and standard errors are reported. All control variables are omitted for simplicity. .