| Literature DB >> 36186299 |
Yingying Zhang1, Zhonghui Hu2, Siyu Tian1, Chunyang Zhou1, Yi Ding1.
Abstract
Based on social learning theory and the trickle-down effects, in which behavioral patterns cascade from one management level to the next (also known as the falling domino effect), we attempt to answer whether upper-level managers' temporal leadership can be transferred to lower-level managers to form their temporal leadership, and what the mediating mechanisms and boundary conditions for this occurrence are. By analyzing the data from 234 middle-level managers and 686 junior managers/employees, we found that top managers' temporal leadership was positively associated with middle-level managers' temporal leadership through the mediating role of middle-level managers' temporal leadership perspective and that the relationship was moderated by middle-level managers' identification with the top manager. Identification with the top manager, in particular, strengthens both the top manager's positive effect on middle-level managers' temporal leadership and the top manager's temporal leadership's mediating role in this relationship through their temporal leadership perspective. The theoretical and managerial implications of these findings are investigated.Entities:
Keywords: identification with a leader; social learning theory; temporal leadership; temporal leadership perspective; trickle-down effects
Year: 2022 PMID: 36186299 PMCID: PMC9524270 DOI: 10.3389/fpsyg.2022.1013416
Source DB: PubMed Journal: Front Psychol ISSN: 1664-1078
Means, standard deviations, and correlations.
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| 1.Middle-level managers’ age | 38.56 | 6.87 | 1 | |||||||
| 2. Middle-level managers’ tenure | 13.69 | 7.74 | 0.82 | |||||||
| 3. Middle-level managers’ education | 4.07 | 0.60 | −0.06 | −0.12 | ||||||
| 4. Middle-level managers’ gender | 1.29 | 0.45 | −0.21 | −0.22 | −0.17 | |||||
| 5. Middle-level managers’ shared time cognitions | 3.51 | 0.97 | −0.17 | −0.12 | 0.04 | 0.02 | ||||
| 6. Middle-level managers’ identification with the top manager | 3.41 | 0.87 | −0.02 | −0.05 | −0.09 | 0.00 | 0.35 | |||
| 7. Middle-level managers’ temporal leadership perspective | 3.55 | 0.86 | −0.09 | −0.06 | −0.10 | 0.17 | 0.17 | 0.36 | ||
| 8. Middle-level managers’ temporal leadership | 3.59 | 0.71 | −0.07 | −0.05 | 0.07 | −0.04 | 0.27 | 0.09 | 0.32 | |
| 9.Top managers’ temporal leadership | 3.79 | 0.64 | 0.06 | 0.05 | 0.11 | −0.03 | 0.17 | 0.18 | 0.16 | 0.27 |
N middle-level managers = 234; N top managers = 99.
p < 0.001;
p < 0.01;
p < 0.05, (two-tailed).
Results of confirmatory factor analyses.
| Model | χ2 |
| RMSEA | CFI | TLI | Δχ2 ( |
|---|---|---|---|---|---|---|
| 282.01 | 224 | 0.03 | 0.98 | 0.98 | ||
| 589.58 | 227 | 0.08 | 0.86 | 0.85 | 307.57** (3) | |
| 675.85 | 227 | 0.09 | 0.83 | 0.81 | 393.84** (3) | |
| 1197.19 | 229 | 0.13 | 0.63 | 0.59 | 915.18** (5) | |
| 1616.70 | 230 | 0.16 | 0.47 | 0.41 | 1134.69** (6) |
TMTL = Top managers’ temporal leadership,IWTM = Identification with the top manager, MMTLP = Middle-level managers’ temporal leadership perspective,MMTL = Middle-level managers’ temporal leadership. **p < 0.01.
Figure 1The conceptual model.
Results of hierarchical regression analysis.
| Variables | Middle-level managers’ temporal leadership perspective | Middle-level managers’ temporal leadership | |||||||
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| M1 | M2 | M3 | M4 | M5 | M6 | M7 | M8 | M9 | |
| 5.06 | 3.41 | 3.56 | 3.34 | 3.02 | 3.27 | 3.58 | 3.42 | 3.45 | |
| Middle-level managers’ age | 0.01(0.01) | 0.01(0.01) | 0.00(0.01) | 0.00(0.01) | 0.00(0.01) | 0.00(0.01) | 0.00(0.01) | 0.00(0.01) | −0.00(0.01) |
| Middle-level managers’ tenure | −0.02(0.01) | −0.02(0.01) | −0.01(0.01) | −0.01(0.01) | −0.02(0.01) | −0.02(0.01) | −0.02(0.01) | −0.02(0.01) | −0.01(0.01) |
| Middle-level managers’ education | −0.15(0.13) | −0.15(0.13) | −0.15(0.13) | −0.18(0.13) | −0.05(0.07) | −0.05(0.07) | −0.06(0.07) | −0.06(0.07) | −0.04(0.08) |
| Middle-level managers’ gender | −0.05(0.14) | −0.06(0.14) | −0.13(0.15) | −0.07(0.14) | −0.03(0.11) | −0.03(0.11) | −0.02(0.10) | −0.02(0.10) | −0.02(0.12) |
| Middle-level managers’ shared time cognition | 0.13(0.07) | 0.12(0.07) | 0.04(0.07) | 0.02(0.07) | 0.17 | 0.17 | 0.18 | 0.18 | 0.15 |
| Middle-level managers’ identification with the top manager | −0.02(0.03) | −0.10(0.03) | −0.02 (0.03) | −0.04(0.03) | −0.10 | ||||
| Middle-level managers’ temporal leadership perspective | 0.19 | ||||||||
| Top managers’ temporal leadership | 0.26 | 0.27 | 0.23 | 0.26 | 0.27 | 0.26 | 0.24 | ||
| Top managers’ temporal leadership ×Middle-level managers’ identification with the top manager | 0.25 | 0.20 | 0.16 | ||||||
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| 0.00 | 0.02 | 0.02 | 0.03 | 0.02 | 0.13 | 0.18 | 0.24 | 0.29 |
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| 0.02 | 0.00 | 0.01 | 0.09 | 0.05 | 0.06 | 0.05 | ||
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| 1.12 | 1.91 | 1.67 | 2.06 | 2.06 | 7.83 | 9.47 | 11.63 | 13.08 |
N middle-level managers = 234; N top managers = 99.
p < 0.001;
p < 0.01;
p < 0.05, (two-tailed).
Results of the moderated path analysis.
| Moderator | Top managers’ temporal leadership (X)→Middle-level managers’ temporal leadership perspective (M)→Middle-level managers’ temporal leadership (Y) | ||
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| 95% Unbiased confidence interval | |
| Mean level: indirect effect | 0.06 | 0.01 | [0.04,0.10] |
| Simple paths for low identification of the top manager | −0.02 | 0.01 | [−0.04,0.00] |
| Simple paths for high identification of the top manager | 0.06 | 0.03 | [0.03,0.09] |
| Differences | 0.08 | 0.04 | [0.04,0.12] |
N middle-level managers = 234; N top managers = 99.
Low identification of the top manager refers to one standard deviation below the mean of identification of the top manager.
High identification of the top manager refers to one standard deviation above the mean of identification of the top manager.
Tests of differences for the indirect and total effect were based on bias-corrected confidence intervals derived from bootstrap estimates.
Figure 2The moderating effect of middle-level managers’ identification with the top manager on the relationship between top managers’ temporal leadership and middle-level managers’ temporal leadership perspective.