| Literature DB >> 33841243 |
Hira Salah Ud Din Khan1, Shakira Huma Siddiqui2,3, Ma Zhiqiang1, Hu Weijun4, Li Mingxing1.
Abstract
Drawing insight from affective events theory, this study presents a new dimension of perceived organizational politics and job attitudes. The motivation for this study was based on the fact that perceived organizational politics affect job attitudes and that personal resources (political skill and work ethic) moderate the direct relationship between perceived organizational politics and job attitudes in the context of the higher-education sector. In this regard, the data was collected through purposive sampling from 310 faculty members from higher-education institutions in Pakistan. To test the relationships among the variables, we employed structural equation modeling via the AMOS software version 24.0. The results indicated that perceived organizational politics were significantly negatively related to job satisfaction. Moreover, perceived organizational politics were non-significantly related to job involvement. Political skill and work ethic weakened the relationship between perceived organizational politics and job satisfaction. We anticipated that these personal resources could mitigate the negative effect of perceived organizational politics and job attitudes. This study also suggests organizations to train their employees to develop essential personal skills.Entities:
Keywords: job attitudes (job satisfaction and job involvement); perceived organization politics; personal resources; political skill; work ethic
Year: 2021 PMID: 33841243 PMCID: PMC8024578 DOI: 10.3389/fpsyg.2021.609842
Source DB: PubMed Journal: Front Psychol ISSN: 1664-1078
Figure 1Conceptual framework.
Convergent validity: factor loadings, average variance extracted (AVE), and construct reliability of scale.
| POP | 0.59 | 0.94 | ||
| POP1 | 0.58 | |||
| POP2 | 0.60 | |||
| POP3 | 0.58 | |||
| POP4 | 0.83 | |||
| POP5 | 0.87 | |||
| POP6 | 0.89 | |||
| POP7 | 0.90 | |||
| POP8 | 0.79 | |||
| POP9 | 0.80 | |||
| POP10 | 0.81 | |||
| POP11 | 0.79 | |||
| POP12 | 0.68 | |||
| JS | 0.73 | 0.91 | ||
| JS1 | 0.87 | |||
| JS2 | 0.86 | |||
| JS3 | 0.83 | |||
| JS4 | 0.85 | |||
| JI | 0.56 | 0.88 | ||
| JI1 | 0.84 | |||
| JI2 | 0.84 | |||
| JI3 | 0.83 | |||
| JI4 | 0.84 | |||
| JI5 | 0.52 | |||
| JI6 | 0.52 | |||
| PS | 0.64 | 0.92 | ||
| PS1 | 0.67 | |||
| PS2 | 0.64 | |||
| PS3 | 0.69 | |||
| PS4 | 0.89 | |||
| PS5 | 0.86 | |||
| PS6 | 0.90 | |||
| PS7 | 0.88 | |||
| WE | 0.54 | 0.95 | ||
| WE1 | 0.61 | |||
| WE2 | 0.59 | |||
| WE3 | 0.66 | |||
| WE4 | 0.87 | |||
| WE6 | 0.85 | |||
| WE7 | 0.85 | |||
| WE9 | 0.86 | |||
| WE10 | 0.77 | |||
| WE11 | 0.78 | |||
| WE12 | 0.59 | |||
| WE14 | 0.78 | |||
| WE15 | 0.72 | |||
| WE19 | 0.67 | |||
| WE20 | 0.69 | |||
| WE21 | 0.65 | |||
| WE22 | 0.70 | |||
| WE23 | 0.83 | |||
| WE26 | 0.62 |
Mean standard deviations, correlations, and reliabilities of all the study variables.
| 1. POP | 3.08 | 0.63 | 0.94 | (0.77) | ||||
| 2. JS | 2.90 | 0.59 | 0.91 | −0.360 | (0.85) | |||
| 3. JI | 3.19 | 0.37 | 0.88 | 0.058 | 0.167 | (0.75) | ||
| 4. PS | 3.07 | 0.61 | 0.92 | 0.194 | 0.202 | 0.125 | (0.73) | |
| 5. WE | 3.04 | 0.59 | 0.95 | 0.204 | 0.117 | 0.117 | 0.252 | (0.80) |
p < 0.01 and
p < 0.05.
POP, perceived organizational politics; JS, job satisfaction; JI, job involvement; PS, political skill; SD, standard deviation.
Square of average variance explained (AVE) values are shown in parenthesis.
Model fit measure.
| CMIN | 853 | – |
| DF | 305 | – |
| CMIN/DF | 2.77 | 1–3 |
| GFI | 0.986 | >0.90 |
| AGFI | 0.857 | >0.80 |
| CFI | 0.943 | >0.95 |
| TLI | 0.910 | >0.90 |
| NFI | 0.947 | >0.90 |
| RMR | 0.037 | <0.09 |
| RMSEA | 0.041 | <0.08 |
Total variance explained.
| 1 | 13.591 | 28.916 | 28.916 | 13.591 | 28.916 | 28.916 |
| 2 | 7.104 | 15.115 | 44.031 | |||
| 3 | 5.099 | 10.848 | 54.879 | |||
| Up to 47 | 0.095 | 0.202 | 100.000 | |||
Figure 2Structural Model for direct impact of POP on JS and JI.
Regression weights.
| POP | → | JS | −0.360 | −6.791 | 0.000 | −0.479 | −0.165 |
| POP | → | JI | 0.058 | 1.019 | 0.308 | −0.078 | 0.150 |
IV, independent variable; DV, dependent variable; C.R, critical ratio; LLCI, lower level of confidence interval; ULCL, upper level of confidence interval.
Figure 3Structural Model for moderating impact of Political Skill.
Regression weights: moderating effects of political skill.
| POP | → | JS | −0.386 | −7.908 | 0.000 | −0.488 | −0.197 |
| PS | → | JS | 0.140 | 2.616 | 0.009 | −0.050 | 0.321 |
| POP × PS | JS | 0.336 | 6.409 | 0.000 | 0.064 | 0.142 |
IV, independent variable; DV, dependent variable; C.R, critical ratio; LLCI, lower level of confidence interval; ULCL, upper level of confidence interval.
Figure 4Structural Model for moderating impact of Work Ethic.
Regression weights: moderating effects of work ethic.
| POP | → | JS | −0.364 | −7.565 | 0.000 | −0.478 | −0.172 |
| WE | → | JS | 0.157 | 3.262 | 0.001 | 0.006 | 0.306 |
| POP × WE | JS | 0.393 | 8.306 | 0.000 | 0.080 | 0.166 |
IV, independent variable; DV, dependent variable; C.R, critical ratio; LLCI, lower level of confidence interval; ULCL, upper level of confidence interval.
Figure 5Interaction effect of Political Skill.
Figure 6Interaction effect of Work Ethic.
f2 effect size of the moderating role of political skill and work ethic.
| POP* PS | 0.336 | 0.428 | Large |
| POP* WE | 0.393 | 0.471 | Large |
Small: 0.0< f.