| Literature DB >> 35898984 |
Yanhui Mao1,2, Yao Lai3, Yuxi Zhai4, Mei Xie5, Junkai Yu3, Qiutong Wang3,6, Shaokai Lu3, Jianhong Ma1, Marino Bonaiuto7.
Abstract
Authentic leadership is essential for predicting employee resilience. However, despite fruitful findings, more adapted models of authentic leadership - employee resilience based on empirical findings can serve as a guide to understand the complex mediators and moderators in different industries such as in construction engineering project organizations during the turbulent pandemic. This study, therefore, based on the organizational identification theory and flow theory through the lens of positive organizational psychology, aims to disentangle the authentic leadership-employee resilience association by investigating their underlying mechanism and their boundary condition. To test our hypothetical model, we applied a cross-sectional design with data collected from a large sample of 884 employees from a big enterprise in China. Findings from confirmatory factor analysis, structural equation modeling analysis, and Hayes's conditional process model indicated that: authentic leadership positively predicted employee resilience through the partial mediation effect of organizational identification, and such a mediation model was moderated by the experience of flow. In other words, flow moderated the relationships between authentic leadership, organizational identification, and employee resilience. Findings provide evidence for cultivating leaders' authenticity in promoting their subordinates' resilience; findings also highlight the significance of organizational identification in bridging authentic leadership and employee resilience and the essential role of flow experience in supporting the relationships mentioned above.Entities:
Keywords: authentic leadership; employee resilience; flow; optimal experience; organizational identification
Year: 2022 PMID: 35898984 PMCID: PMC9312127 DOI: 10.3389/fpsyg.2022.901085
Source DB: PubMed Journal: Front Psychol ISSN: 1664-1078
FIGURE 1The conceptual framework.
Descriptive statistics and correlations.
| Variable | Mean |
| 1 | 2 | 3 | 4 | 5 | 6 |
| 1. AL | 3.78 | 0.77 | 1 | |||||
| 2. OI | 3.76 | 0.78 | 0.58 | 1 | ||||
| 3. ER | 3.90 | 0.64 | 0.64 | 0.53 | 1 | |||
| 4. Flow | 3.57 | 0.70 | 0.39 | 0.41 | 0.54 | 1 | ||
| 5. Age | 32.35 | 0.86 | –0.04 | –0.03 | 0.01 | 0.04 | 1 | |
| 6. Gender | 1.28 | 0.45 | −0.14 | −0.14 | –0.06 | –0.05 | 0.16834 | 1 |
AL, authentic leadership; OI, organizational identification; ER, employee resilience.
**p<0.01, two-tailed.
Validity and reliability of study variables.
| Construct | KMO | Bartlett’s test | Cronbach’s α | AVE | CR |
| AL | 0.980 | 0.000 | 0.980 | 0.666 | 0.970 |
| OI | 0.879 | 0.000 | 0.861 | 0.896 | 0.846 |
| ER | 0.946 | 0.000 | 0.949 | 0.566 | 0.921 |
| Flow | 0.797 | 0.000 | 0.813 | 0.540 | 0.779 |
FIGURE 2Test of the mediation model.
Standardized direct and indirect effects with 95% confidence intervals.
| Hypotheses | Path | Standard-estimate | Bias-corrected 95% CI |
| Decisions | |
| Lower | Upper | |||||
| H1 | AL-ER | 0.453 | 0.356 | 0.548 | 0.001 | Supported |
| H2 | AL-OI-ER | 0.198 | 0.141 | 0.265 | 0.001 | Supported |
Conditional process analysis.
| Dependent variable | Predicting variable | Fitting indices | Coefficient | |||
|
| R2 | β |
| |||
| OI | 0.6193 | 0.3836 | 109.2699 | |||
| Gender | –0.110 | −2.328 | ||||
| Age | –0.015 | –0.601 | ||||
|
| 0.478 | 15.995 | ||||
|
| 0.235 | 7.303 | ||||
|
| 0.088 | −3.050 | ||||
| ER | 0.7277 | 0.5295 | 140.8253 | |||
| Gender | 0.049 | 1.446 | ||||
| Age | 0.010 | 0.560 | ||||
|
| 0.345 | 14.203 | ||||
|
| 0.135 | 5.588 | ||||
|
| 0.282 | 11.672 | ||||
|
| –0.109 | −3.896 | ||||
|
| 0.059 | 2.262 | ||||
*p<0.05, **p<0.01, ***p<0.001.
FIGURE 3(A) Flow’s moderation effect on the path between AL and OI. (B) Flow’s moderation effect on the path between AL and ER. (C) Flow’s moderation effect on the path between OI and ER.