| Literature DB >> 35936320 |
Jawad Khan1, Amna Ali1, Imran Saeed2, Alejandro Vega-Muñoz3, Nicolás Contreras-Barraza4.
Abstract
Grounding on person-job fit theory, we examined perceived overqualification relation with counterproductive work behavior (CWB) by identifying job boredom as a mediator and job crafting as a moderator. Hierarchical linear regression and Hayes' PROCESS macro-method were used to assess hypotheses in a three-wave survey of 317 textile sector employees. The findings show that perceived overqualification is positively related with CWBs. This study further examined the mediating function of job boredom and the moderating impact of job crafting in the association between perceived overqualification and CWB. The findings suggest that job crafting moderates the positive relation between perceived overqualification and job boredom and the indirect connection between perceived overqualification and CWB via job boredom. The model was tested using 3-wave data; however, since the data were attained from a single source, questions of common method bias cannot be ruled out. Managers should look for changes in employee attitudes and promptly modify employees' positions when they indicate that they have more experience, abilities, and talents required for their roles in their organizations.Entities:
Keywords: counterproductive work behavior; job boredom; job crafting; perceived overqualification; person–job (mis)fit
Year: 2022 PMID: 35936320 PMCID: PMC9355648 DOI: 10.3389/fpsyg.2022.936900
Source DB: PubMed Journal: Front Psychol ISSN: 1664-1078
Figure 1Hypothesized moderated mediation model.
Correlations, mean, standard deviation, and reliability.
| Variables | Mean | SD | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 |
|---|---|---|---|---|---|---|---|---|---|---|
| 1. Gender | 1.39 | 0.48 | ||||||||
| 2. Age | 2.83 | 0.95 | 0.247 | |||||||
| 3. Service | 1.72 | 0.90 | 0.219 | 0.700 | ||||||
| 4. Education | 2.89 | 0.51 | 0.042 | 0.048 | −0.063 | |||||
| 5. POQ | 4.02 | 0.34 | 0.022 | 0.002 | 0.017 | 0.024 |
| |||
| 6. CWB | 3.58 | 0.54 | −0.047 | −0.078 | −0.067 | 0.045 | 0.314 |
| ||
| 7. Job boredom | 3.56 | 0.80 | 0.027 | −0.032 | 0.044 | 0.061 | 0.244 | 0.216 | (0.84) | |
| 8. Job crafting | 1.73 | 0.36 | 0.024 | 0.040 | 0.039 | 0.020 | 0.033 | −0.062 | −0.072 |
|
Correlation is significant at the 0.05 level (2-tailed).
Correlation is significant at the 0.01 level (2-tailed). Bold values are Cronbach’s alpha values.
Factor loading’s.
| Items | CR | AVE | Loadings |
|---|---|---|---|
| POQ | 0.93 | 0.63 | |
| Item 1 | 0.80 | ||
| Item 2 | 0.73 | ||
| Item 3 | 0.78 | ||
| Item 4 | 0.87 | ||
| Item 5 | 0.83 | ||
| Item 6 | 0.79 | ||
| Item 7 | 0.82 | ||
| Item 8 | 0.79 | ||
| Item 9 | 0.75 | ||
| Job crafting | 0.96 | 0.62 | |
| Item 1 | 0.76 | ||
| Item 2 | 0.78 | ||
| Item 3 | 0.82 | ||
| Item 4 | 0.78 | ||
| Item 5 | 0.69 | ||
| Item 6 | 0.81 | ||
| Item 7 | 0.77 | ||
| Item 8 | 0.76 | ||
| Item 9 | 0.83 | ||
| Item 10 | 0.78 | ||
| Item 11 | 0.82 | ||
| Item 12 | 0.83 | ||
| Item 13 | 0.77 | ||
| Item 14 | 0.76 | ||
| Item 15 | 0.89 | ||
| Job boredom | 0.92 | 0.68 | |
| Item 1 | 0.81 | ||
| Item 2 | 0.76 | ||
| Item 3 | 0.83 | ||
| Item 4 | 0.84 | ||
| Item 5 | 0.88 | ||
| Item 6 | 0.84 | ||
| CWB | 0.95 | 0.60 | |
| Item 1 | 0.79 | ||
| Item 2 | 0.77 | ||
| Item 3 | 0.84 | ||
| Item 4 | 0.77 | ||
| Item 5 | 0.82 | ||
| Item 6 | 0.73 | ||
| Item 7 | 0.72 | ||
| Item 8 | 0.78 | ||
| Item 9 | 0.77 | ||
| Item 10 | 0.74 | ||
| Item 11 | 0.81 | ||
| Item 12 | 0.87 | ||
| Item 13 | 0.71 |
Measurement model comparison (N = 317).
| Model’s | RMSEA | GFI | CFI | TLI | Δ | |
|---|---|---|---|---|---|---|
| Model-4 (POQ, CWB, JB, and JC) | 0.05 | 0.92 | 0.91 | 0.90 | 313.24 | – |
| Model-3 (POQ, CWB, JB, and JC) | 0.11 | 0.71 | 0.87 | 0.81 | 421.12 | 289.23 |
| Model-3 (POQ, JB, JC, and CWB) | 0.18 | 0.56 | 0.55 | 0.77 | 524.41 | 346.11 |
| Model-2 (POQ, JB, CWB, and JC) | 0.21 | 0.47 | 0.47 | 0.57 | 813.45 | 422.14 |
| Model-1 (POQ, JB, CWB, andJC) | 0.26 | 0.31 | 0.33 | 0.41 | 927.32 | 653.21 |
Correlation is significant at the 0.001 level (2-tailed).
Hierarchical linear regression results.
| Variables | Job boredom | Counterproductive work behavior | ||||
|---|---|---|---|---|---|---|
| Model 1 | Model 2 | Model 3 | Model 4 | Model 5 | Model 6 | |
| Age | 0.03 | 0.05 | 0.04 | 0.03 | 0.04 | 0.03 |
| Gender | −0.07 | 0.04 | 0.03 | 0.04 | −0.11 | −0.14 |
| Education | −0.03 | 0.02 | −0.11 | 0.03 | −0.06 | −0.03 |
| Service | 0.09 | 0.06 | −0.01 | 0.02 | 0.03 | 0.01 |
| POQ | 0.571 | 0.653 | ||||
| Mediator | 0.551 | |||||
| Job boredom | 0.293 | |||||
| Moderator | ||||||
| Job crafting | −0.093 | |||||
| Interaction effect | ||||||
| POQ × job crafting | −1.1138 | |||||
|
| 0.15 | 0.17 | 0.14 | 0.18 | 0.15 | 0.17 |
|
| 21.13 | 24.01 | 31.05 | 27.08 | 12.01 | 31.07 |
Correlation is significant at the 0.05 level (2-tailed).
Correlation is significant at the 0.001 level (2-tailed).
Figure 2Interactive effect of POQ and job crafting on CWB.
Moderated mediated results for POQ and CWB across levels of job crafting.
| Mediator | Level | Conditional indirect effect | SE | LLCI | ULCI |
|---|---|---|---|---|---|
| Job boredom | Low(–1SD) | 0.0830 | 0.1103 | −0.1244 | 0.3036 |
| High(+1SD) | 0.5018 | 0.1249 | 0.2700 | 0.7600 | |
| Difference | 0.4188 | 0.0146 | 0.3944 | 0.4564 |
Moderator values are the mean and ± 1 SD, LLCI lower limit 95% confidence interval, ULCI upper limit 95% confidence interval.