| Literature DB >> 35095692 |
Jolien Muylaert1, Robin Bauwens2, Mieke Audenaert1, Adelien Decramer1.
Abstract
In a context where the amount of red tape in healthcare organizations continues to rise, head nurses' job satisfaction is constantly under pressure. By building on the Job Demands-Resources model, we developed a theoretical model investigating the relationship between red tape and job satisfaction. By investigating the mediating role of discretionary room and the moderating role of autonomous motivation in this relationship, this study does not only aim to provide additional knowledge regarding the underlying mechanisms in this relationship, but also to increase our understanding of how this suffering at work can be mitigated. Our conditional process analyses (N = 277 head nurses) indicate that red tape undermines head nurses' job satisfaction and that discretionary room acts as an underlying mechanism in this process. By revealing the mediating role of discretionary room, this study advances our understanding of the risks originating from red tape for leaders. Furthermore, our findings also indicate that autonomous motivation mitigates the negative relation between red tape and discretionary room and between red tape and job satisfaction. As autonomous motivation turns out to be an important protection mechanism against the negative consequences of red tape, organizations should put extra effort into stimulating the autonomous motivation of their leaders. When organizations make sure that their leaders' job designs and work environments meet the need for autonomy, competence, and relatedness, leaders will become more autonomously motivated, which will buffer the negative impact of red tape.Entities:
Keywords: administrative burden; autonomous motivation; discretionary room; elderly care homes; head nurses; job satisfaction; red tape
Year: 2022 PMID: 35095692 PMCID: PMC8795969 DOI: 10.3389/fpsyg.2021.806388
Source DB: PubMed Journal: Front Psychol ISSN: 1664-1078
Models and fit indices.
| χ2 | df | CFI | TLI | RMSEA | SRMR | |
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| Hypothesized four-factor model | 327.17 | 182 | 0.96 | 0.95 | 0.06 | 0.08 |
| One-factor model (CSB) | 1116.69 | 189 | 0.72 | 0.69 | 0.14 | 0.16 |
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| Partial moderated mediation | 394.42 | 258 | 0.96 | 0.95 | 0.05 | 0.08 |
CFI, comparative fit index; TLI, Tucker–Lewis index; RMSEA, root mean square error of approximation; SRMR, standardized root mean square residual; CSB, common source bias.
Descriptive statistics and correlations.
| Mean |
| 1 | 2 | 3 | 4 | 5 | 6 | ||
| (1) | Age (in years) | 45.38 | 9.69 | – | |||||
| (2) | Gender (1 = female) | 0.80 | 0.40 | 0.02 | – | ||||
| (3) | Span of control | 19.24 | 8.89 | 0.08 | –0.01 | – | |||
| (4) | Red tape | 3.29 | 0.74 | 0.04 | –0.01 | 0.05 | – | ||
| (5) | Autonomous motivation | 5.98 | 0.68 | 0.07 | 0.08 | –0.02 | −0.34 | – | |
| (6) | Discretionary room | 4.76 | 0.99 | –0.03 | 0.02 | 0.08 | −0.30 | 0.09 | – |
| (7) | Job satisfaction | 5.95 | 0.87 | 0.14 | 0.09 | –0.05 | −0.50 | 0.52 | 0.28 |
*p < 0.05, ***p < 0.001.
Regression results.
| Model | Model 1 (H1) | Model 2 (H2a) | Model 3 (H2b) | Model 4 (H3b) | Model 5 (H3a) | |||||
| Dependent variable | Job satisfaction | Discretionary room | Job satisfaction | Discretionary room | Job satisfaction | |||||
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| Constant | 7.21 | 0.33 | 6.03 | 0.42 | 6.26 | 0.45 | 4.71 | 0.33 | 4.85 | 0.32 |
| Age (in years) | 0.01 | 0.01 | 0.00 | 0.01 | 0.01 | 0.00 | 0.00 | 0.01 | 0.01 | 0.00 |
| Gender (1 = female) | 0.18 | 0.12 | 0.02 | 0.15 | 0.18 | 0.12 | 0.04 | 0.15 | 0.15 | 0.10 |
| Span of control | 0.00 | 0.01 | 0.01 | 0.01 | 0.00 | 0.01 | 0.01 | 0.01 | 0.00 | 0.00 |
| Red tape | −0.60 | 0.06 | −0.42 | 0.08 | −0.53 | 0.07 | −0.40 | 0.09 | −0.38 | 0.06 |
| Autonomous motivation | – | – | – | – | – | – | 0.00 | 0.10 | 0.42 | 0.07 |
| Discretionary room | – | – | – | – | 0.16 | 0.05 | – | – | 0.12 | 0.05 |
| Red tape × autonomous motivation | – | – | – | – | – | – | 0.20 | 0.10 | 0.24 | 0.07 |
| 23.93 | 7.10 | 21.76 | 5.56 | 29.34 | ||||||
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| 0.28 | 0.11 | 0.31 | 0.12 | 0.46 | |||||
N = 247; *p < 0.05, **p < 0.01, ***p < 0.001.
χ
FIGURE 1Results of the hierarchical regression analyses of the moderated mediation model. Participants’ age, gender, and span of control are included as control variables. N = 247; *p < 0.05, **p < 0.01, ***p < 0.001.
Results of the conditional direct and indirect effects for different levels of autonomous motivation.
| Effect |
| LL 95% CI | UL 95% CI | |
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| Low autonomous motivation (−1 | −0.54 | 0.08 | −0.6982 | −0.3869 |
| High autonomous motivation (+1 | −0.22 | 0.08 | −0.3706 | −0.0609 |
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| Low autonomous motivation (−1 | −0.54 | 0.11 | −0.7458 | −0.3260 |
| High autonomous motivation (+1 | −0.26 | 0.11 | −0.4756 | −0.0416 |
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| Low autonomous motivation (−1 | −0.07 | 0.03 | −0.1283 | −0.0197 |
| High autonomous motivation (+1 | −0.03 | 0.02 | −0.0745 | −0.0016 |
Participants’ age, gender, and span of control are included as control variables. Bootstrap sample size = 10,000.
N = 247; CI, confidence interval; LL, lower limit; UL, upper limit.
FIGURE 2Interaction between red tape and autonomous motivation in predicting job satisfaction.
FIGURE 3Interaction between red tape and autonomous motivation in predicting discretionary room.