| Literature DB >> 36232022 |
Abstract
Due to the pursuit of a flexible organization, the interest in internal as well as external boundary management has increased as a key to achieve high performance. This study identified boundary-spanning leadership (BSL) as a critical factor enhancing job crafting and job performance of subordinates. By examining the mediating effect of job crafting and the moderating effect of positive psychological capital (PsyCap), the authors aimed to present the effects of BSL assimilating job resources, such as external information and knowledge into organization. Data were collected from 238 workers of 11 companies using questionnaires in South Korea to test the moderated mediation model. The results of regression analysis using LISREL and SPSS, revealed that the manager's BSL provoked job crafting, which in turn achieved job performance of subordinates. Moreover, PsyCap positively moderated the effect of BSL on job crafting of subordinates. The findings suggested, therefore, in order to maximize the positive effects of BSL in an organization, it should also be necessary to understand and boost PsyCap along with enhancing job crafting.Entities:
Keywords: boundary-spanning leadership; job crafting; job performance; positive psychological capital
Mesh:
Year: 2022 PMID: 36232022 PMCID: PMC9566076 DOI: 10.3390/ijerph191912725
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 4.614
Figure 1Conceptual research model.
Reliability and validity.
| Factors | Factor Loadings | AVE | CR | ρA | Cronbach’s α |
|---|---|---|---|---|---|
| Boundary spanning leadership | 0.581~0.885 | 0.63 | 0.72 | 0.75 | 0.73 |
| Positive psychological capital | 0.641~0.861 | 0.71 | 0.82 | 0.86 | 0.83 |
| Job crafting | 0.708~0.906 | 0.73 | 0.85 | 0.88 | 0.85 |
| Job performance | 0.718~0.848 | 0.76 | 0.81 | 0.80 | 0.79 |
Descriptive statistics and correlation matrix.
| Variables | Mean | SD | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 |
|---|---|---|---|---|---|---|---|---|---|---|
| 1. Age | 35.28 | 6.37 | - | |||||||
| 2. Gender a | 0.24 | 0.43 | −0.35 | - | ||||||
| 3. Industry1 b | 0.33 | 0.47 | 0.06 | −0.12 | - | |||||
| 4. Industry2 c | 0.25 | 0.43 | −0.07 | −0.02 | 0.04 | - | ||||
| 5. BSL | 5.58 | 0.88 | 0.07 | −0.19 | 0.07 | 0.18 | (0.79) | |||
| 6. PsyCap | 5.46 | 0.71 | 0.22 | −0.16 | 0.01 | 0.04 | 0.45 | (0.84) | ||
| 7. Job crafting | 5.06 | 0.91 | 0.31 | −0.34 | 0.10 | −0.01 | 0.37 | 0.59 | (0.85) | |
| 8. Job performance | 5.18 | 0.94 | 0.27 | −0.22 | 0.18 | 0.09 | 0.39 | 0.58 | 0.63 | (0.87) |
Notes: n = 238. Correlation coefficients above |0.13| are significant at 0.05 level, and they above |0.17| are significant 0.01 level (2-tailed). a Female based on male. b Construction industry based on manufacturing. c The other industries based on manufacturing. Square root of AVE values are presented in parenthesis. BSL: Boundary-spanning leadership; PsyCap: Positive psychological capital.
Regression estimates for job crafting and job performance.
| Variables | Model 1 (Job Crafting) | Model 2 (Job Performance) | ||||
|---|---|---|---|---|---|---|
| b | SE |
| b | SE |
| |
| Age | 0.02 | 0.01 | 2.33 * | 0.01 | 0.01 | 1.61 |
| Gender | −0.42 | 0.11 | −3.70 ** | 0.05 | 0.11 | 0.51 |
| Industry1 | 0.12 | 0.10 | 1.22 | 0.25 | 0.10 | 2.67 ** |
| Industry2 | −0.10 | 0.11 | −0.97 | 0.15 | 0.13 | 1.26 |
| Boundary-spanning leadership (BLS) | 0.12 | 0.06 | 2.02 * | 0.10 | 0.07 | 1.45 |
| Job crafting | 0.41 | 0.07 | 5.54 ** | |||
| Positive psychological capital (PsyCap) | 0.64 | 0.07 | 8.81 ** | |||
| BLS × PsyCap | 0.11 | 0.04 | 2.52 * | |||
| R2 (adjusted R2) | 0.45(0.43) | 0.34(0.31) | ||||
| F | 27.03 ** | 16.37 * | ||||
Notes: * p < 0.05, ** p < 0.01 (2-tailed).
Figure 2Moderating effect of PsyCap on the relationship between BSL and job crafting.