| Literature DB >> 36186282 |
Jing Xu1, Dequn Zhu2, Yongzhou Li1.
Abstract
Leadership is considered as a significant antecedent of knowledge hiding in SMEs (small and medium enterprises), but the differential dimension of leadership has been evidently neglected in both theoretical and empirical areas. Drawing on conservation of resource theory and social cognitive theory, this research investigates whether and how SME differential leadership influences subordinate knowledge hiding. Specifically, we analyze the underlying mechanisms of a chain-mediator-job insecurity and territorial consciousness and a boundary condition-leadership performance expectation. Multi-wave and multi-source data were collected from a sample of 704 Chinese SME employees and 140 relevant leaders and applied HLM meso-mediational frameworks, and Bootstrap technique with non-parametric percentile residuals for deviation correction. The results show that differential leadership plays a potential role in promoting subordinate knowledge hiding through the serial intervening mechanism of job Insecurity and territorial consciousness in SMEs. Furthermore, the positive relationship between SME differential leadership and job insecurity becomes stronger among subordinates under higher leadership performance expectation; the positive indirect relationship between SME differential leadership and subordinate knowledge hiding is stronger with higher levels of leadership performance expectation. This study contributes to the existing academic literature by empirically analyzing the under-investigated correlation between differential leadership and subordinate knowledge hiding in SMEs, and by exploring the underlying mechanisms and a boundary condition.Entities:
Keywords: SME differential leadership; job insecurity; leadership performance expectation; subordinate knowledge hiding; territorial consciousness
Year: 2022 PMID: 36186282 PMCID: PMC9524454 DOI: 10.3389/fpsyg.2022.983669
Source DB: PubMed Journal: Front Psychol ISSN: 1664-1078
Sample characteristics (size: 704).
| Characteristic | Indicator | Frequency | Percentage | Characteristic | Indicator | Frequency | Percentage |
| Gender | Male | 408 | 57.95% | Highest education | Bachelor degree | 283 | 40.20% |
| Female | 296 | 42.05% | Master degree | 303 | 43.04% | ||
| Age | [21–30] | 155 | 22.02% | Doctoral degree | 96 | 13.64% | |
| [31–40] | 241 | 34.23% | Postdoctoral degree | 22 | 3.12% | ||
| [41–50] | 216 | 30.68% | Duration working with leader | (0, 2) | 138 | 19.60% | |
| 51 and above | 92 | 13.07% | (2, 4) | 202 | 28.69% | ||
| Job category | Functional management | 76 | 10.80% | (4, 6) | 184 | 26.14% | |
| R&D | 337 | 47.87% | Above 6 (excluding) | 180 | 25.57% | ||
| Product design | 256 | 36.36% | |||||
| Market | 35 | 4.97% |
Descriptive statistics and correlations among focal variables.
| Variable | M ± SD | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
| 1. Gender | 0.421 ± 0.494 | − | ||||||||
| 2. Age | 1.348 ± 0.964 | –0.031 | − | |||||||
| 3. Job category | 1.355 ± 0.738 | 0.036 | 0.028 | − | ||||||
| 4. Highest education | 0.797 ± 0.789 | –0.049 | –0.075 | –0.064 | − | |||||
| 5. Subordinates’ working time with their leader (SWT) | 1.577 ± 1.072 | 0.060 | 0.081 | 0.040 | –0.097 | − | ||||
| 6. SME differential leadership (SDL) | 2.848 ± 0.825 | 0.015 | 0.022 | –0.011 | 0.034 | −0.138 | − | |||
| 7. Job insecurity (JI) | 3.166 ± 0.747 | 0.202 | −0.131 | 0.029 | 0.085 | −0.174 | 0.307 | − | ||
| 8. Territorial consciousness (TC) | 3.274 ± 0.836 | 0.223 | –0.104 | 0.034 | 0.111 | −0.123 | 0.266 | 0.574 | − | |
| 9. Subordinate knowledge hiding (SKH) | 3.104 ± 0.795 | 0.168 | −0.172 | 0.046 | 0.156 | –0.102 | 0.295 | 0.446 | 0.505 | − |
| 10. Leadership performance expectation (LPE) | 3.017 ± 0.929 | –0.083 | 0.193 | 0.117 | 0.274 | 0.182 | 0.141 | 0.209 | 0.352 | 0.309 |
N = 704; (1) Gender: 0 = male, 1 = female, (2) Age: 0 = 21–30-year-old, 1 = 31–40-year-old, 2 = 41–50-year-old, 3 = 51-year-old and above, (3) Job category: 0 = functional management, 1 = R&D, 2 = product design, and 3 = market, (4) Highest education: 0 = bachelor degree, 1 = master degree, 2 = doctoral degree, 3 = postdoctoral degree, (5) Working time (Time working with their current leader): 0 = (0, 2) years, 1 = (2, 4) years, 2 = (4, 6) years, and 3 = more than 6 years (excluding); ***p < 0.001, **p < 0.01, *p < 0.05.
HLM analysis result.
| Fixed-effect | JI | TC | SKH | ||||
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| Model 1 | Model 2 | Model 3 | Model 4 | Model 5 | Model 6 | Model 7 | |
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| Intercept | 3.221 | 3.207 | 3.280 | 3.244 | 3.252 | 3.249 | 3.236 |
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| Gender (γ10) | 0.103 (0.119) | 0.097 (0.102) | 0.134 | 0.081 (0.104) | 0.105 (0.121) | 0.098 (0.115) | 0.088 (0.118) |
| Age (γ20) | −0.064 (0.084) | −0.072 (0.097) | −0.079 (0.084) | −0.057 (0.075) | −0.078 (0.095) | −0.069 (0.090) | −0.062 (0.083) |
| Job category (γ30) | 0.032 (0.067) | 0.046 (0.074) | 0.028 (0.053) | 0.070 (0.094) | 0.090 (0.133) | 0.086 (0.107) | 0.077 (0.100) |
| Highest education (γ40) | 0.055 (0.082) | 0.050 (0.077) | 0.064 (0.089) | 0.038 (0.057) | 0.051 (0.080) | 0.049 (0.072) | 0.044 (0.061) |
| SMT (γ50) | −0.087 (0.105) | −0.099 (0.125) | −0.055 (0.076) | −0.051 (0.068) | −0.073 (0.092) | −0.067 (0.085) | −0.059 (0.071) |
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| JI (γ60) | 0.368 |
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| TC (γ70) |
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| LPE (γ80) | 0.394 | ||||||
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| GMJI (γ01) | 0.499 | 0.301 | |||||
| GMTC (γ02) | 0.421 | 0.336 | |||||
| GMLPE (γ03) | 0.531 | ||||||
| SDL × GMLPE (γ04) | 0.230 | ||||||
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| SDL (γ05) |
| 0.248 |
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| SDL × LPE (γ81) |
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| Inter-group variation (τ00) | 0.136 | 0.061 | 0.177 | 0.118 | 0.051 | 0.104 | 0.098 |
| Slope variance of JI (τ66) | 0.042 (76.563) | 0.014 (61.048) | |||||
| Slope variance of TC (τ77) | 0.035 (73.126) | 0.029 (68.726) | |||||
| Slope variance of LPE (τ88) | 0.037 (74.592) | ||||||
| Intra-group variation (σ2) | 0.763 | 0.745 | 0.772 | 0.742 | 0.478 | 0.651 | 0.640 |
| −2 Log likelihood (−2LL) | 751.459 | 732.607 | 780.228 | 737.885 | 625.229 | 720.015 | 717.894 |
N = 704; (1) GMJI: group mean of job insecurity, (2) GMTC: group mean of territorial consciousness, (3) GMLPE: group mean of leadership performance expectation; ***p < 0.001, **p < 0.01, *p < 0.05, +p < 0.10.
Model fitting result.
| Model | Graphic description | χ 2 | df | χ 2/df | Δχ 2/Δ df | CFI | TLI | RMSEA | SRMR |
| Full chain-mediating model |
| 1217.143 |
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| Incomplete dual mediating model |
| 1530.759 | 660 | 2.319 | 313.616 | 0.917 | 0.912 | 0.043 | 0.032 |
| Complete dual mediating model 1 |
| 1575.310 | 661 | 2.383 | 179.084 | 0.913 | 0.908 | 0.044 | 0.039 |
| Complete dual mediating model 2 |
| 1324.085 | 660 | 2.006 | 106.942 | 0.937 | 0.933 | 0.038 | 0.026 |
| Single chain-mediating model |
| 1304.726 | 661 | 1.974 | 43.792 | 0.939 | 0.935 | 0.037 | 0.035 |
N = 704; Dashed lines mean that this path is not significant; ***p < 0.001, two-tailed test.
Chain-mediating effect analysis.
| Effect and path | Estimated value | SE | 95% LLCI | 95% ULCI | Proportion |
| Direct effect: SDL → SKH | 0.151 | 0.035 | 0.039 | 0.265 | 55.31% |
| Total mediating effect | 0.122 | 0.038 | 0.026 | 0.219 | 44.69% |
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| Independent mediating path 1 (IMP 1): SDL → JI → SKH | 0.047 |
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| IMP 2: SDL → TC → SKH |
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| IMP 3: SDL → JI → TC → SKH |
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| Total effect: SDL → SKH | 0.273 | 0.055 | 0.162 | 0.386 | 100.00% |
N = 704; ***p < 0.001, **p < 0.01, *p < 0.05; Bootstrap based on repeating sampling 5000 times.
FIGURE 1Hypothetical full model diagram: job insecurity and territorial consciousness play a chain mediating role on the relationship between SME differential leadership and subordinate knowledge hiding. ***p < 0.001, **p < 0.01, *p < 0.05.
FIGURE 2The moderating role of leadership performance expectation on the relationship between SME differential leadership and job insecurity.
FIGURE 3Correlation coefficients of the full model. ***p < 0.001, **p < 0.01.
Cross-level analysis on moderated chain-mediating effect.
| Chain-mediating path: SDL → JI → TC → SKH | ||||||
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| Moderator | Phase | Effect | ||||
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| Phase I: Psj | Phase II: Pjt | Phase III: Pts | Direct effect: Pss SDL → SKH (SE) | Indirect chain-mediating effect: Psj | Total effect: Pss + Psj | |
| High LPE | 0.329 | 0.380 | 0.391 | 0.283 | 0.332 | |
| Low LPE | 0.222 | 0.334 | 0.302 | 0.218 | 0.022 | 0.240 |
| Difference | 0.107 | 0.046 | 0.089 | 0.065 | 0.092 | |
N = 704; ***p < 0.001, **p < 0.01, *p < 0.05; Bootstrap based on repeating sampling 5000 times.