| Literature DB >> 35686066 |
Shuai Yuan1, Zhixia Chen1, Mei Sun1.
Abstract
The extant pieces of literature on discretion has mainly focused on its effect on policy implementation and public service delivery, but few studies have looked at its influence on street-level bureaucrats' work behavior, such as taking charge behavior (TCB), which is of great importance for government reforms, especially in developing and transitional countries. Based on the self-determination theory, this study examines whether and how discretion promotes street-level bureaucrats' TCB. Two studies were conducted among street-level bureaucrats in China. First, a survey experiment (n = 355) suggests that discretion positively predicts street-level bureaucrats' TCB. Then, a survey questionnaire study (n = 442) shows that discretion is positively related to TCB through the mediator of public service motivation (PSM). We concluded with implications for theory and practice.Entities:
Keywords: discretion; public service motivation; self-determination theory; street-level bureaucrats; taking charge behavior
Year: 2022 PMID: 35686066 PMCID: PMC9172856 DOI: 10.3389/fpsyg.2022.805872
Source DB: PubMed Journal: Front Psychol ISSN: 1664-1078
Figure 1Conceptual model.
Vignette scenarios.
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| Much discretion group | Imagine that you are a front-line civil servant who deals with citizens directly, such as traffic police, police officers, market supervisors, and so forth. In your work, under the premise of abiding by laws and regulations, you are allowed to make decisions freely about the procedure, time limits, and methods of handling affairs. You have the freedom to decide which working methods and procedures should be adopted when you think there are more rational and efficient working methods and procedures. When some special circumstances occur, you have flexibility in dealing with them. |
| Little discretion group | Imagine that you are a front-line civil servant who deals with citizens directly, such as traffic police, police officers, market supervisors, and so forth. In your work, laws and regulations have made clear instructions for the procedure, time limits, and methods of handling affairs. You must strictly abide by the relevant regulations. Even if you find that there are more rational and efficient working methods and procedures, you have no right to adapt these methods or procedures. |
Valid sample characteristics (means and standard deviations in parentheses, N = 355).
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| Gender | 1.45 (0.50) | 1.52 (0.50) | Chi-square = 1.76, |
| Age | 2.03 (0.52) | 2.04 (0.53) | ANOVA, |
| Education | 2.75 (0.52) | 2.81 (0.57) | ANOVA, |
| Tenure | 2.88 (1.05) | 2.71 (1.11) | ANOVA, |
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| 178 | 177 |
Frequency counts for categorical variables (N = 442).
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| Gender | Women | 174 |
| Men | 268 | |
| Age | ~25 | 46 |
| 26~35 | 337 | |
| 36~45 | 47 | |
| 46~55 | 10 | |
| Over 56 | 2 | |
| Education | Master | 122 |
| Bachelor | 285 | |
| Associate | 35 | |
| Tenure | 0~1 | 44 |
| 1~3 | 148 | |
| 4~6 | 119 | |
| 7~10 | 83 | |
| Over 10 | 48 |
Descriptive statistics.
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| 1. Gender | 1.610 | 0.489 | ||||||
| 2. Age | 2.060 | 0.582 | −0.035 | |||||
| 3. Education | 2.800 | 0.563 | −0.019 | 0.201 | ||||
| 4. Tenure | 2.870 | 1.158 | −0.070 | 0.530 | 0.201 | |||
| 5. Discretion | 3.086 | 0.922 | −0.042 | 0.154 | 0.136 | 0.115 | ||
| 6. PSM | 3.880 | 0.650 | −0.008 | 0.131 | 0.051 | 0.061 | 0.361 | |
| 7. TCB | 3.479 | 0.707 | −0.111 | 0.169 | 0.064 | 0.109 | 0.555 | 0.467 |
PSM, Public service motivation; TCB, Taking charge behavior.
p < 0.05,
p < 0.01,
p < 0.001.
Results for confirmatory factor analysis.
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| Four-factor model (CMV; D; PSM; TCB) | 2.101 | 0.031 | 0.947 | 0.967 | 0.952 | 0.966 | 0.050 |
| Hypothesized three-factor model (D; PSM; TCB) | 2.402 | 0.048 | 0.932 | 0.950 | 0.939 | 0.950 | 0.056 |
| Two-factor model (D and PSM are combined into) | 4.507 | 0.070 | 0.855 | 0.873 | 0.847 | 0.872 | 0.089 |
| Single-factor model | 5.807 | 0.074 | 0.821 | 0.825 | 0.791 | 0.824 | 0.104 |
D, Discretion; PSM, Public service motivation; TCB, Taking charge behavior; CMV, Common method variance.
Results of multiple regression analysis (robust standard errors in parentheses).
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| Gender | −0.004 (0.063) | 0.008 (0.059) | −0.104 | −0.086 | −0.102 | −0.088 |
| Age | 0.134 | 0.093 (0.059) | 0.151 | 0.089 (0.057) | 0.091 (0.061) | 0.061 (0.054) |
| Education | 0.027 (0.056) | −0.011 (0.053) | 0.028 (0.061) | −0.030 (0.051) | 0.016 (0.054) | −0.026 (0.048) |
| Tenure | −0.016 (0.032) | −0.026 (0.030) | 0.016 (0.034) | −0.001 (0.029) | 0.023 (0.030) | 0.007 (0.027) |
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| Discretion | 0.351 | 0.542 | 0.436 | |||
| PSM | 0.452 | 0.302 | ||||
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| 0.018 | 0.137 | 0.041 | 0.324 | 0.241 | 0.402 |
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| 0.018 | 0.119 | 0.041 | 0.283 | 0.201 | 0.161 |
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| 1.988 | 13.789 | 4.617 | 41.659 | 27.741 | 48.765 |
p < 0.05,
p < 0.01,
p < 0.001.