| Literature DB >> 35735378 |
Bangxin Peng1, Wisanupong Potipiroon1.
Abstract
Job insecurity is a growing concern among bank employees. In this research, we examined whether psychological capital can alleviate bank workers' perceptions of job insecurity and job stress during COVID-19. In particular, we aimed to examine this relationship at both the individual and work-unit levels of analysis. Based on the data collected from 520 bank tellers in 53 bank branches in Thailand, our multilevel structural equation modeling (MSEM) analyses revealed that there was significant between-branch variation in the levels of psychological capital (15%), job insecurity (23%) and job stress (24%). In particular, perceptions of job insecurity were found to have a positive effect on job stress at both levels of analysis. We also found that psychological capital significantly reduced perceptions of job insecurity and job stress at the individual level. These findings emphasize that perceptions of job insecurity can emerge at both the individual and work-unit levels. Theoretical and practical implications are discussed.Entities:
Keywords: COVID-19; bank tellers; job insecurity; job stress; multilevel structural equation modeling (MSEM); psychological capital
Year: 2022 PMID: 35735378 PMCID: PMC9220038 DOI: 10.3390/bs12060168
Source DB: PubMed Journal: Behav Sci (Basel) ISSN: 2076-328X
Means, standard deviations, and correlations (individual level: N = 520).
| Variables | M |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1. Psychology Capital | 4.68 | 0.95 | (0.95) | ||||||||
| 2. Job Insecurity | 2.77 | 1.06 | −0.15 ** | (0.88) | |||||||
| 3. Job Stress | 2.75 | 0.89 | −0.05 | 0.45 ** | (0.88) | ||||||
| 4. Gender | - | - | 0.04 | −0.02 | 0.04 | - | |||||
| 5. Age | 33.90 | 7.23 | 0.15 ** | −0.18 ** | 0.15 ** | −0.13 ** | |||||
| 6. Education | - | - | 0.04 | −0.01 | −0.05 | −0.04 | 0.27 ** | ||||
| 7. Tenure (years) | 7.79 | 6.57 | 0.13 ** | −0.21 ** | 0.17 ** | −0.05 | 0.80 ** | 0.24 ** | |||
| 8. Salary (Baht) | - | - | 0.08 | −0.11 * | −0.13 ** | 0.01 | 0.12 ** | 0.07 | 0.08 ** | ||
| 9. Contract Types | - | - | −0.06 | 0.01 | 0.04 | −0.06 | −0.24 ** | −0.15 ** | 0.20 | −0.02 | |
| 10. Hierarchical Positions | - | - | −0.01 | −0.19 ** | −0.23 ** | 0.03 | 0.51 ** | 0.21 ** | 0.49 ** | 0.19 ** | −0.21 ** |
Note: * p < 0.05. ** p < 0.01; for gender, 0 = male, 1 = female workers; for contract types, 0 = permanent workers; 1 = temporary workers; for hierarchical positions, 0 = senior workers, 1 = operation workers. Values in parentheses are Cronbach’s alphas.
Means, standard deviations, and correlations (branch level: N = 53).
| Variables | M |
| 1 | 2 | 3 |
|---|---|---|---|---|---|
| 1. Collective Psychological Capital | 4.68 | 0.50 | (0.96) | ||
| 2. Job insecurity Climate | 2.77 | 0.62 | −0.15 | (0.94) | |
| 3. Collective Job Stress | 2.75 | 0.51 | −0.10 | 0.70 ** | (0.92) |
Note: * p < 0.05. ** p < 0.01. Values in parentheses are Cronbach’s alphas.
Standardized factor loading scores for multilevel confirmatory factor analysis.
| Latent Constructs and Manifest Indicators | Loadings within Level | Loadings |
|---|---|---|
|
| (0.93; 0.98) | (1.00; 1.00) |
| 1. Self-efficacy | 0.929 | 1.007 |
| 1.1 I feel confident in representing my work area in meetings with management. | 0.801 | 0.880 |
| 1.2 I feel confident contributing to discussions about the organization’s strategy. | 0.806 | 0.984 |
| 1.3 I feel confident presenting information to a group of colleagues | 0.874 | 0.971 |
| 2. Hope | 0.988 | 1.000 |
| 2.1 If I should find myself in a jam at work, I could think of many ways to get out of it | 0.846 | 0.989 |
| 2.2 Right now, I see myself as being successful at work | 0.805 | 0.988 |
| 2.3 I can think of many ways to reach my current work goals. | 0.879 | 1.000 |
| 2.4 At this time, I am meeting the work goals that I have set for myself | 0.836 | 0.981 |
| 3. Resilience | 0.994 | 0.983 |
| 3.1 I can be “on my own,” so to speak, at work if I have to. | 0.861 | 1.004 |
| 3.2 I can get through difficult times at work because I’ve experienced difficulty before | 0.837 | 0.988 |
| 4. Optimism | 0.943 | 1.021 |
| 4.1 I always look on the bright side of things regarding my job. | 0.847 | 0.956 |
| 4.2 I am optimistic about what will happen to me in the future as it pertains to work. | 0.892 | 0.960 |
|
| (0.62; 0.86) | (0.87; 0.96) |
| 1. Chances are, I will soon lose my job. | 0.798 | 0.945 |
| 2. I am not sure whether I can keep my job. | 0.605 | 0.779 |
| 3. I feel insecure about the future of my job. | 0.864 | 1.011 |
| 4. I think I might lose my job in the near future. | 0.850 | 0.982 |
|
| (0.57; 0.90) | (0.93; 0.99) |
| 1. In the last month, how often have you been upset because of something that happened unexpectedly? | 0.749 | 0.974 |
| 2. In the last month, how often have you felt that you were unable to control the important things in your life? | 0.758 | 0.941 |
| 3. In the last month, how often have you felt nervous and “stressed”? | 0.788 | 0.961 |
| 4. In the last month, how often have you found that you could not cope with all the things that you had to do? | 0.722 | 0.913 |
| 5. In the last month, how often have you been able to control irritations in your life? (Reverse-coded) | 0.680 | 0.994 |
| 6. In the last month, how often have you been angered because of things that were outside of your control? | 0.821 | 1.002 |
| 7. In the last month, how often have you felt difficulties were piling up so high that you could not overcome them? | 0.769 | 0.980 |
Note: All loadings are significant at p < 0.01. Values in the parentheses are AVE = average variance extracted and CR = composite reliability.
Multilevel structural equation modeling (MSEM) analyses.
| Estimated Paths | Within Level ( | Between Level ( | ||
|---|---|---|---|---|
|
|
|
|
| |
| Job | Job | Job Insecurity | Job | |
| Main Analyses | ||||
| Psychological Capital | −0.150 * | - | −0.200 | - |
| Job insecurity | - | 0.364 *** | - | 0.745 *** |
| Control Variables | ||||
| Gender (1 = female) | −0.087 | 0.184 * | - | - |
| Age | −0.042 | −0.003 | - | - |
| Education | 0.020 | −0.077 | - | - |
| Tenure | −0.165 * | 0.003 | - | - |
| Salary | −0.047 | −0.001 | - | - |
| Contract types (1 = permanent) | −0.005 | −0.252 | - | - |
| Positions (1 = senior) | −0.143 * | −0.167 * | - | - |
| Explained variance ( | ||||
| Job insecurity | 0.113 ** | - | 0.037 | - |
| Job Stress | - | 0.291 *** | - | 0.668 ** |
Note: b = unstandardized coefficients; * p < 0.05. ** p < 0.01. *** p < 0.001.
Figure 1Multilevel structural equation modeling (MSEM) results. Note: * p < 0.05. ** p < 0.01. *** p < 0.001. Dashed lines represent non-significant paths.
Indirect effect results.
| Mediated Paths | Effect | SE | 95% CI | |
|---|---|---|---|---|
| LLCL | ULCL | |||
| Within level ( | ||||
| Psychological Capital → Job insecurity → Job stress | −0.054 * | 0.027 | −0.099 | −0.015 |
| Between level ( | ||||
| Psychological Capital → Job insecurity → Job stress | −0.149 | 0.225 | −0.582 | 0.262 |
Note: CI refers to confidence interval; LLCI = lower limit confidence interval; ULCI = upper limit confidence interval; to indicate significant indirect effects, the interval of CI should exclude zero; * = significant indirect paths (95% CI). * p < 0.05.