| Literature DB >> 36231165 |
Yunfeng Sun1, Hao Yang1, Xiang Wu1, Yifeng Jiang2, Chongyang Qian3.
Abstract
Safety voice has become a popular research topic in the organizational safety field because it helps to prevent accidents. A good safety climate and psychological safety can motivate employees to actively express their ideas about safety, but the specific mechanisms of safety climate and psychological safety, on safety voice, are not yet clear. Based on the "environment-subject cognition-behavior" triadic interaction model of social cognitive theory, this paper explores the relationship between safety climate and safety voice, and the mediating role of psychological safety. We collected questionnaires and conducted data analysis of the valid questionnaires using analytical methods such as hierarchical regression, stepwise regression, and the bootstrap sampling method. We found that safety climate significantly and positively influenced safety voice, and psychological safety played a mediating role between safety climate and safety voice, which strengthened the positive relationship between them. From the research results, it was clear that to stimulate employees to express safety voice behavior, organizations should strive to create a good safety climate and pay attention to building employees' psychological safety. The findings of this paper provide useful insights for the management of employee safety voice behavior in enterprises.Entities:
Keywords: mediating role; psychological safety; safety climate; safety voice; “environment-subject cognition-behavior” triadic interaction model
Mesh:
Year: 2022 PMID: 36231165 PMCID: PMC9565307 DOI: 10.3390/ijerph191911867
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 4.614
Figure 1Research hypothesis model.
Sample basic information.
| Items | Sample Classification | Number | Percentage (%) |
|---|---|---|---|
| Gender | Male | 139 | 55.8 |
| Female | 110 | 44.2 | |
| Age | 25 years old and below | 95 | 38.2 |
| 26–35 years old | 85 | 34.1 | |
| 36–45 years old | 53 | 21.3 | |
| 45 years old and above | 16 | 6.4 | |
| Education Level | High school and below | 19 | 7.6 |
| College | 50 | 20.1 | |
| Bachelor | 122 | 49.0 | |
| Postgraduate and above | 58 | 23.3 | |
| Position | Front-line employee | 164 | 65.9 |
| Grass-roots manager | 58 | 23.3 | |
| Middle/Senior management | 27 | 10.8 | |
| Work Experience | 1 year and below | 87 | 34.9 |
| 1–3 years | 50 | 20.1 | |
| 3–7 years | 74 | 29.7 | |
| 7 years and above | 38 | 15.3 |
Results of confirmatory factor analysis (N = 249).
| Model | Factor |
|
|
| RMSEA | CFI | TLI |
|---|---|---|---|---|---|---|---|
| Three-factor model | SC, PS, SV | 138.363 | 61 | 2.268 | 0.071 | 0.930 | 0.911 |
| Two-factor model A | SC and PS, SV | 337.516 | 64 | 5.274 | 0.131 | 0.753 | 0.699 |
| Two-factor model B | SC, PS and SV | 293.465 | 64 | 4.585 | 0.120 | 0.793 | 0.747 |
| Two-factor model C | SC and SV, PS | 262.962 | 64 | 4.109 | 0.112 | 0.820 | 0.781 |
| One-factor model | SC, PS and SV | 409.704 | 65 | 6.303 | 0.146 | 0.689 | 0.626 |
Notes: SC = safety climate, PS = psychological safety, SV = safety voice.
Results of descriptive analysis.
| Variable | M | SD | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 |
|---|---|---|---|---|---|---|---|---|---|---|
| 1. Gender | 1.44 | 0.5 | 1 | |||||||
| 2. Age | 1.96 | 0.92 | −0.338 ** | 1 | ||||||
| 3. Education | 2.88 | 0.85 | 0.78 | −0.185 ** | 1 | |||||
| 4. Position | 1.45 | 0.68 | −0.112 | 0.406 ** | 0.287 ** | 1 | ||||
| 5. Working years | 2.25 | 1.09 | −0.413 ** | 0.752 ** | −0.067 | 0.451 ** | 1 | |||
| 6. Safety climate | 4.02 | 0.63 | −0.033 | −0.033 | 0.185 ** | 0.227 ** | 0.12 | 1 | ||
| 7. Psychological safety | 3.39 | 0.7 | −0.079 | 0.106 | 0.054 | 0.185 ** | 0.167 ** | 0.406 ** | 1 | |
| 8. Safety voice | 3.75 | 0.6 | −0.063 ** | 0.169 ** | 0.224 ** | 0.344 ** | 0.212 ** | 0.524 ** | 0.444 ** | 1 |
Notes: ** p < 0.01; 1 = male.
Results of the main effects test.
| Variable/ | Psychological Safety | Safety Voice | |||
|---|---|---|---|---|---|
| Model 1 | Model 2 | Model 3 | Model 4 | Model 5 | |
| Gender | −0.028 | −0.025 | −0.001 | 0.002 | 0.010 |
| Age | −0.063 | −0.016 | 0.037 | 0.094 | 0.062 |
| Education | 0.014 | −0.032 | 0.168 * | 0.112 | 0.162 ** |
| Position | 0.140 | 0.071 | 0.242 ** | 0.159 * | 0.187 ** |
| Working years | 0.140 | 0.088 | 0.086 | 0.023 | 0.031 |
| Safety climate | 0.385 *** | 0.461 *** | |||
| Psychological safety | 0.390 *** | ||||
| F | 0.323 * | 9.013 *** | 8.260 *** | 20.970 *** | 16.503 *** |
|
| 0.046 | 0.183 | 0.145 | 0.342 | 0.290 |
|
| 0.137 | 0.197 | 0.145 | ||
Notes: * p < 0.05; ** p < 0.01; *** p < 0.001.
Results of stepwise regression analysis.
| Variable/Model | Safety Voice | |
|---|---|---|
| Model 6 | Model 7 | |
| Gender | 0.002 | 0.009 |
| Age | 0.094 | 0.098 |
| Education | 0.112 | 0.120 * |
| Position | 0.159 * | 0.141 * |
| Working years | 0.023 | 0.000 |
| Safety climate | 0.461 *** | 0.363 *** |
| Psychological safety | 0.254 *** | |
| F | 20.970 *** | 22.473 *** |
|
| 0.342 | 0.395 |
|
| 0.053 | |
Notes: * p < 0.05; *** p < 0.001.
Results of the bootstrap sampling method.
| Effect | Boot SE | Boot LLCI | Boot ULCI | Relative Effect Value | |
|---|---|---|---|---|---|
| Total effect | 0.4914 | 0.0508 | 0.3913 | 0.5915 | |
| Direct effect | 0.3858 | 0.5320 | 0.2810 | 0.4906 | 78.51% |
| Mediating effect | 0.1056 | 0.0333 | 0.0516 | 0.1793 | 21.49% |
Scale items.
| Variables | Author | Items |
|---|---|---|
| Safety Climate | Neal et al. [ | 1. Management places a strong emphasis on workplace health and safety. |
| Psychological Safety | Liang et al. [ | 1. In my work unit, I can express my true feelings regarding my job. |
| Safety Voice | Tucker et al. [ | 1. I make suggestions about how safety can be improved. |