| Literature DB >> 33988910 |
Bo Zhang1, Fangcheng Tang1, Bo Sun2, Yi Niu3, Zhisong Tang1, Xiangdong Sun1.
Abstract
AIM: This research explores and examines the differentiated mediation roles of multi-foci commitment in the relationship between HPWS and knowledge exchange and combination among Chinese hospital nurses.Entities:
Keywords: Chinese public hospital nurse; high-performance work systems; knowledge exchange and combination; multi-foci commitment
Mesh:
Year: 2021 PMID: 33988910 PMCID: PMC8859067 DOI: 10.1002/nop2.921
Source DB: PubMed Journal: Nurs Open ISSN: 2054-1058
FIGURE 1Conceptual model of the mediation role of a nurse's multiple commitments between HPWS and knowledge exchange and combination
Means, standard deviations and correlations between variables
| Mean | SD | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Nurse's age | 40.48 | 9.59 | |||||||||
| Job tenure | 19.89 | 11.29 | 0.828 | ||||||||
| Nurse's education background | – | – | 0.099 | −0.143 | |||||||
| Nurse's gender | – | – | 0.081 | 0.074 | 0.161 | ||||||
| Hospital Sector | – | – | −0.039 | −0.010 | 0.021 | 0.042 | |||||
| HPWS | 5.23 | 0.80 | 0.150 | 0.105 | 0.037 | 0.062 | 0.029 | ||||
| Knowledge exchange and combination | 5.31 | 1.23 | 0.022 | −0.050 | 0.098 | 0.201 | 0.017 | 0.321 | |||
| Professional commitment | 5.18 | 1.29 | 0.023 | −0.020 | 0.009 | 0.149 | 0.009 | 0.496 | 0.334 | ||
| Affective commitment1 | 5.58 | 1.11 | −0.063 | −0.110 | −0.046 | 0.057 | 0.038 | 0.306 | 0.489 | 0.308 | |
| Continuance commitment | 4.98 | 1.34 | 0.017 | 0.021 | −0.159 | 0.020 | 0.022 | 0.642 | 0.359 | 0.456 | 0.311 |
N = 845; SD = standard deviation.
p < .05 (2 tailed).
p < .01 (2 tailed).
The mediation effects of professional, affective and continuance commitment between HPWS and knowledge exchange and combination
| Professional commitment | Affective commitment | Continuance commitment | Knowledge exchange and combination | ||||
|---|---|---|---|---|---|---|---|
| M1 | M2 | M3 | M4 | M5 | M6 | M7 | |
| Standardized | Standardized | Standardized | Standardized | Standardized | Standardized | Standardized | |
| Control Variable | |||||||
| Nurse's age | 0.115 | 0.055 | 0.104 | 0.136 | 0.003 | 0.025 | −0.025 |
| Job tenure | −0.189 | −0.135 | −0.250 | −0.123 | −0.079 | 0.009 | −0.026 |
|
Nurse's education background | 0.018 | −0.055 | −0.115 | −0.198 | −0.198 | −0.172 | −0.191 |
| Nurse's gender | 0.183 | 0.133 | 0.065 | 0.049 | 0.017 | −0.060 | −0.032 |
| Hospital Sector | 0.003 | −0.009 | 0.031 | 0.028 | 0.006 | 0.019 | 0.006 |
| Main Effect | |||||||
| HPWS | 0.312 | 0.496 | 0.316 | 0.656 | 0.532 | ||
| Mediators | |||||||
|
Professional commitment | 0.224 | 0.157 | |||||
|
Affective commitment | 0.365 | 0.141 | |||||
|
Continuance commitment | 0.087 | 0.016 | |||||
|
| 24.810 | 51.456 | 20.497 | 5.688 | 115.046 | 44.936 | 91.458 |
|
| 0.145 | 0.264 | 0.122 | 0.033 | 0.452 | 0.294 | 0.491 |
|
| 0.095 | 0.239 | 0.097 | – | 0.419 | 0.268 | 0.461 |
N = 845.
p < .05
p < .01
p < .001; VIF value ranges from 1.008–3.928.