| Literature DB >> 34220609 |
Abstract
How can public organizations promote change recipients' affective commitment to public sector change? Based on socially desirable responding theory, this study explores the theoretical mechanism and boundary effect of the relationship between public service motivation and affective commitment to change. By conducting a survey of 465 front-line public employees in an eastern Chinese city undergoing public sector change, this study found that voice behavior partially mediates the relationship between public service motivation and affective commitment to change. Superficial harmony also negatively moderates the relationship between public service motivation and affective commitment to change through the mediation of voice behavior. This study mainly contributes to our understanding of the theoretical mechanism and the conditional effect of change recipients' affective commitment during public sector change.Entities:
Keywords: affective commitment to change; public sector change; public service motivation; superficial harmony; voice behavior
Year: 2021 PMID: 34220609 PMCID: PMC8249559 DOI: 10.3389/fpsyg.2021.631948
Source DB: PubMed Journal: Front Psychol ISSN: 1664-1078
The confirmatory factor analysis results.
| 1. Null model | 8445.07 | 325 | |||||||
| 2. One factor model | 4631.71 | 299 | 0.18 | 0.47 | 0.42 | 0.17 | |||
| 3. Model 1 | 1401.2 | 293 | 0.09 | 0.86 | 0.95 | 0.07 | |||
| 4. Model 2: PSM + SH | 2937.67 | 296 | 0.14 | 0.68 | 0.64 | 0.15 | 2 vs. 1 | 512.16 | 0.18 |
| 5. Model 3: PSM + VB | 2261.75 | 296 | 0.12 | 0.76 | 0.73 | 0.09 | 3 vs. 1 | 286.85 | 0.10 |
| 6. Model 4: PSM + ACC | 2178.37 | 296 | 0.12 | 0.77 | 0.75 | 0.09 | 4 vs. 1 | 259.06 | 0.09 |
| 7. Model 5:VB + ACC | 2252.02 | 296 | 0.12 | 0.76 | 0.74 | 0.09 | 5 vs. 1 | 283.61 | 0.10 |
Standardized factor loading of confirmatory factor analysis for the CFA sample.
| Public service motivation | 0.74 | 0.93 | Voice behavior | 0.55 | 0.92 | ||||||
| PSM1 | 4.51 | 1.23 | 0.83 | VB1 | 3.99 | 1.06 | 0.74 | ||||
| PSM2 | 4.58 | 1.15 | 0.86 | VB2 | 4 | 1.05 | 0.76 | ||||
| PSM3 | 4.46 | 1.18 | 0.89 | VB3 | 4.13 | 1.02 | 0.85 | ||||
| PSM4 | 4.28 | 1.25 | 0.86 | VB4 | 4.3 | 1.07 | 0.87 | ||||
| PSM5 | 4.33 | 1.17 | 0.85 | VB5 | 4.21 | 1.02 | 0.88 | ||||
| Superficial harmony | 0.59 | 0.92 | VB6 | 4.3 | 0.98 | 0.9 | |||||
| SH1 | 3.19 | 1.42 | 0.68 | VB7 | 4.36 | 0.95 | 0.87 | ||||
| SH2 | 3.05 | 1.98 | 0.79 | VB8 | 4.37 | 2.05 | 0.43 | ||||
| SH3 | 3.56 | 1.3 | 0.78 | VB9 | 4.4 | 2.09 | 0.42 | ||||
| SH4 | 3.45 | 1.37 | 0.78 | VB10 | 4.38 | 2.47 | 0.4 | ||||
| SH5 | 3.35 | 1.37 | 0.84 | Affective commitment to change | 0.64 | 0.87 | |||||
| SH6 | 3.45 | 1.34 | 0.78 | ACC1 | 4.23 | 2.23 | 0.52 | ||||
| SH7 | 2.53 | 1.44 | 0.75 | ACC2 | 3.98 | 1.21 | 0.89 | ||||
| SH8 | 3.34 | 1.34 | 0.76 | ACC3 | 4.1 | 1.49 | 0.83 | ||||
| ACC4 | 3.93 | 1.29 | 0.89 |
Means, standard deviations, and correlations.
| 1. Age | 40.94 | 8.38 | ||||||||
| 2. Sex | 1.18 | 0.38 | −0.15** | |||||||
| 3. Edu | 1.81 | 0.43 | −0.36** | 0.05 | ||||||
| 4. Tenure | 10.74 | 7.21 | 0.65** | −0.16** | −0.24** | |||||
| 5. PSM | 4.43 | 1.03 | 0.02 | 0.10* | 0.02 | –0.09 | – | |||
| 6. VB | 4.25 | 0.91 | 0.06 | 0.09 | 0.02 | –0.08 | 0.56** | – | ||
| 7. ACC | 3.88 | 1.22 | –0.04 | 0.04 | –0.01 | −0.11* | 0.41** | 0.36** | – | |
| 8. SH | 3.23 | 1.06 | –0.06 | 0.02 | –0.08 | –0.09 | −0.17** | –0.02 | 0.07 | – |
FIGURE 1Results of theorical model. **p < 0.01.
Indirect effects test of different conditions.
| Indirect effects | High | 0.36 | 0.09 | 0.19 | 0.49 |
| Low | 0.43 | 0.07 | 0.30 | 0.53 | |
| Group Differences | −0.06 | 0.04 | −0.14 | −0.02 | |
FIGURE 2The moderating effect of superficial harmony on the relationship between public service motivation and voice behavior.