| Literature DB >> 35959021 |
Inés Martínez-Corts1, Juan Pablo Moreno-Beltrán1, Santiago Renedo1, Francisco J Medina1.
Abstract
Human Resources Practices (HRPs) and unions coexist in some organisations to manage the employment relationships of the workers. In this study, we analyse how the presence/absence of unions and HRPs are combined in private European organisations, and which of these combinations are related to higher levels of wellbeing and the quality of labor relations. Data come from 24,503 workers of private organisations, obtained from the Sixth European Working Conditions Survey. Latent profiles analysis and different analyses of the variance suggested four different profiles. The profile with the greatest presence of HRPs and union presence is related to the highest levels of employees' wellbeing and quality of labor relations in organisations, whereas those organisations with a low level of union presence or HRPs reached the worst levels in employees' wellbeing and quality of labor relations indicators. The results and their practical implications are discussed.Entities:
Keywords: human resource policies; justice; trust; unions; wellbeing
Year: 2022 PMID: 35959021 PMCID: PMC9359139 DOI: 10.3389/fpsyg.2022.878006
Source DB: PubMed Journal: Front Psychol ISSN: 1664-1078
Descriptive statistics and correlations between dimensions.
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| 1. Participation at work | – | ||||||||
| 2. Training | 0.07 | – | |||||||
| 3. Job enrichment | 0.19 | 0.24 | – | ||||||
| 4. Trade U. presence | 0.14 | 0.30 | 0.18 | – | |||||
| 5. Justice | 0.34 | 0.04 | 0.02 | 0.07 | – | ||||
| 6. Social support | 0.39 | 0.08 | 0.21 | 0.09 | 0.47 | – | |||
| 7. Leadership quality | 0.41 | 0.12 | 0.10 | 0.11 | 0.63 | 0.56 | – | ||
| 8. Engagement | 0.08 | 0.02 | 0.01 | 0.02 | 0.10 | 0.07 | 0.09 | – | |
| 9. General wellbeing | 0.22 | 0.05 | 0.04 | 0.07 | 0.42 | 0.28 | 0.36 | 0.12 | – |
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| 6.02 | 0.59 | 1.54 | 0.66 | 4.00 | 3.93 | 4.94 | 4.04 | 4.43 |
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| 11.54 | 0.76 | 1.12 | 0.48 | 0.84 | 1.00 | 0.90 | 2.92 | 1.00 |
p < 0.05.
p < 0.01.
Model fit statistics.
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| 1-Profile | 12,4505.360 | – | – | −62,224.965 |
| 2-Profiles | 94,314.964 | 29,679.000 | 0.81 | −47,091.789 |
| 3-Profiles | 80,960.615 | 13,144.758 | 0.85 | −40,389.348 |
| 4-Profiles | 75,935.132 | 4,977.515 | 0.85 | −3,7851.340 |
| 5-Profiles | 74,935.000 | 5,209.913 | 0.85 | −3,5194.834 |
BIC, Bayesian information criteria; BLRT, Bootstrapped likelihood ratio test.
p < 0.05.
Average posterior probabilities for the four-profile model.
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| Profile 1 |
| 0.02 | 0.00 | 0.04 | |
| Profile 2 | 0.04 |
| 0.03 | 0.12 | |
| Profile 3 | 0.00 | 0.02 |
| 0.03 | |
| Profile 4 | 0.03 | 0.05 | 0.02 |
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The largest posterior probabilities for each profile are in bold.
Figure 1Identified profiles in Europe private organisations.
Working contracts in the different profiles.
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| Profile 1 | 10.7 | 86 | 85.4 | 8.8 | 0.9 | 0.3 | 3.9 |
| Profile 2 | 15.4 | 79.5 | 84 | 4.5 | 0.5 | 0.2 | 4.9 |
| Profile 3 | 19.3 | 74.9 | 66.1 | 16.5 | 2.1 | 0.9 | 11.6 |
| Profile 4 | 19.4 | 75.9 | 71.6 | 11.1 | 1.4 | 0.7 | 9.5 |
All numbers represent percentages.
Means and significant differences with the four-profile model.
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| Profile 1 | 2.57 | 3.09 | 3.11 | 3.17 | 3.14 |
| Profile 2 | 2.53 | 3.02 | 3.11 | 3.09 | 3.13 |
| Profile 3 | 2.31 | 2.72 | 2.81 | 2.70 | 2.65 |
| Profile 4 | 2.23 | 2.61 | 2.86 | 2.67 | 2.62 |
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| 1 > 2 > 3 > 4 | 1 > 2 > 3 > 4 | 1, 2 > 3 > 4 | 1 > 2 > 3 > 4 | 1, 2 > 3, 4 |
p < 0.001.