| Literature DB >> 31001166 |
Yanhan Zhu1, Shuwei Zhang2, Yimo Shen3.
Abstract
Although the topic of employee resilience has recently received increased attention, existing research has largely failed to explore its situational triggers. Drawing on social information processing theory, the current study integrates the literature of humility and resilience to theorize the underlying mechanism through which humble leadership facilitates employee resilience. This research proposes a potential heterogeneous effect that humble leadership catalyzes employee resilience through multiple pathways. Field (N = 434) and experimental studies (N = 104) conducted in Mainland China support hypotheses that humble leadership enhances employee resilience through simultaneous increases in work-related promotion focus and perceived insider identity. Research implications are discussed, and directions for future research are offered.Entities:
Keywords: employee resilience; humble leadership; perceived insider identity; social information processing; work-related promotion focus
Year: 2019 PMID: 31001166 PMCID: PMC6456677 DOI: 10.3389/fpsyg.2019.00673
Source DB: PubMed Journal: Front Psychol ISSN: 1664-1078
Figure 1Theoretical model.
Comparison of alternative path models.
| Model test | χ2 | df | χ2/df | CFI | TLI | RMSEA | SRMR |
|---|---|---|---|---|---|---|---|
| 4-factor | 1142.19 | 472 | 2.42 | 0.90 | 0.90 | 0.05 | 0.06 |
| 3-factor | 2478.45 | 492 | 5.04 | 0.70 | 0.68 | 0.10 | 0.10 |
| 2-factor | 3201.9 | 494 | 6.51 | 0.60 | 0.56 | 0.11 | 0.10 |
| 1-factor | 3868.75 | 495 | 7.82 | 0.49 | 0.46 | 0.13 | 0.17 |
Means, standard deviations, and correlations for the variables (study 1).
| Variables | Mean | SD | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1. Gender | 1.55 | 0.50 | |||||||||
| 2. Marriage | 1.33 | 0.47 | 0.15** | ||||||||
| 3. Age | 34.07 | 6.58 | -0.14** | -0.42** | |||||||
| 4. Education | 3.24 | 1.06 | -0.04 | -0.01 | -0.02 | ||||||
| 5. Tenure | 2.55 | 1.06 | 0.02 | -0.29** | 0.58** | 0.05 | |||||
| 6. HL | 3.61 | 0.77 | 0.15** | 0.19** | -0.21** | -0.27** | -0.16** | (0.90) | |||
| 7. WPF | 3.62 | 0.56 | -0.02 | 0.05 | -0.08 | -0.14** | -0.16** | 0.32** | (0.79) | ||
| 8. II | 3.74 | 0.82 | 0.05 | 0.12* | -0.04 | -0.12** | 0.04 | 0.51** | 0.16** | (0.88) | |
| 9. ER | 4.90 | 0.78 | -0.01 | 0.05 | -0.06 | -0.03 | -0.04 | 0.40** | 0.39** | 0.35** | (0.85) |
Standardized direct path coefficients of the hypothesized model (study 1).
| Path | Estimate | SE | |||
|---|---|---|---|---|---|
| H1 | HL-ER | 0.42*** | 0.05 | ||
| H2 | HL-WPF-ER | 0.14*** | 0.04 | 0.06 | 0.25 |
| H3 | HL-II-ER | 0.11* | 0.05 | 0.01 | 0.28 |
Standardized direct path coefficients of the hypothesized model (study 2).
| Path | Estimate | SE | |||
|---|---|---|---|---|---|
| H1 | HL-ER | 0.63*** | 0.07 | ||
| H2 | HL-WPF-ER | 0.11** | 0.04 | 0.04 | 0.24 |
| H3 | HL-II-ER | 0.12+ | 0.06 | 0.004 | 0.25 |