| Literature DB >> 35978766 |
Yajun Zhang1, Changqin Yin2, Muhammad Naseer Akhtar3, Yongqi Wang4.
Abstract
Although the role of leadership in fostering employee creativity has been extensively studied, it is still unclear whether and how leader humor affects employee creativity. Drawing upon cultural representation theory (CRT), we examined creative self-efficacy as a mediator and traditionality as a situational factor in the relationship between leader humor and employee creativity by analyzing a sample of 306 employees and 88 leaders (paired data) collected through survey questionnaire from firms based in Hubei Province, China, covering the industries of automobile, IT, and medicine. Following the multi-level examination, leader humor was positively related to employee creativity, and creative self-efficacy was found to mediate the impact of leader humor on employee creativity. Furthermore, traditionality moderated the effect of leader humor on creative self-efficacy, as well as the indirect effect of leader humor on employee creativity through creative self-efficacy. This study provides a social psychological explanation for the association between humor and employee creativity, deepens the current understanding of the influence process of leader humor. Finally, the theoretical and practical implications of the study are discussed at the end alongside limitations and recommendations for future research.Entities:
Keywords: creative self-efficacy; creativity; cultural representation theory; leader humor; traditionality
Year: 2022 PMID: 35978766 PMCID: PMC9376232 DOI: 10.3389/fpsyg.2022.903281
Source DB: PubMed Journal: Front Psychol ISSN: 1664-1078
Figure 1Theoretical model.
Sample characteristics.
| Category | Characteristics |
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| Gender | Male | 156 | 50.98 |
| Female | 150 | 49.02 | |
| Age | 81 | 26.47 | |
| 26–35 | 116 | 37.91 | |
| 36–45 | 55 | 17.97 | |
| 54 | 17.65 | ||
| Education level | High school | 34 | 11.11 |
| Junior college | 64 | 20.92 | |
| Bachelor degree | 170 | 55.55 | |
| Graduate degree | 38 | 12.42 | |
| Work tenure | 50 | 16.34 | |
| 2–5 | 116 | 37.91 | |
| 6–10 | 106 | 34.64 | |
| 34 | 11.11 |
N (Level 2) = 88; N (Level 1) = 306.
Results of confirmatory factor analysis.
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| Five-factor model | 292.54 | 142 | 2.06 | Baseline model | 0.97 | 0.96 | 0.97 | 0.06 |
| Four-factor model | 882.44 | 146 | 6.04 | 589.90 | 0.85 | 0.82 | 0.85 | 0.13 |
| Three-factor model | 1785.37 | 149 | 11.98 | 1492.83 | 0.66 | 0.61 | 0.66 | 0.19 |
| Two-factor model | 2342.37 | 151 | 15.51 | 2049.83 | 0.55 | 0.49 | 0.55 | 0.22 |
| One-factor model | 3359.96 | 152 | 22.11 | 3067.42 | 0.34 | 0.25 | 0.34 | 0.26 |
| Zero model | 4997.89 | 171 | 29.23 |
Five-factor model: leader humor, employee creativity, creative self-efficacy, traditionality, positive affect; Four-factor model: leader humor + employee creativity, creative self-efficacy, traditionality, positive affect; Three-factor model: leader humor + employee creativity, creative self-efficacy + traditionality, positive affect; Two-factor model: leader humor + employee creativity, creative self-efficacy + traditionality + positive affect; One-Factor Model: Two-factor model: leader humor + employee creativity + creative self-efficacy + traditionality + positive affect. “+” combing the factors.
p < 0.001.
Results of descriptive statistical analysis and coefficients of correlation.
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| 1. Gender | 0.49 | 0.50 | |||||||
| 2. Age | 2.27 | 1.04 | −0.05 | ||||||
| 3. Education level | 2.69 | 0.83 | 0.16 | −0.05 | |||||
| 4. Job tenure | 2.41 | 0.89 | −0.07 | 0.18 | 0.12 | ||||
| 5. Positive affect | 3.07 | 0.72 | 0.01 | 0.01 | 0.07 | 0.14 | |||
| 6. Creative self-efficacy | 3.98 | 0.83 | −0.08 | 0.04 | 0.04 | 0.10 | 0.15 | ||
| 7. Traditionality | 3.04 | 1.17 | 0.04 | −0.02 | −0.03 | −0.12 | −0.001 | 0.22 | |
| 8. Employee creativity | 4.13 | 0.70 | 0.01 | −0.05 | 0.11 | 0.14 | 0.20 | 0.55 | 0.11 |
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| 1. Leader humor | 4.66 | 0.70 | |||||||
N (Level 2) = 88; N (Level 1) = 306.
p < 0.05;
p < 0.01.
Results of hierarchical linear modeling.
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| Intercept | 4.17 | 4.14 | 4.13 | 3.97 | 4.00 |
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| Gender | 0.01(0.07) | 0.03(0.06) | 0.09(0.05) | −0.10(0.09) | −0.12(0.08) |
| Age | −0.05(0.04) | −0.05(0.03) | −0.04(0.03) | 0.01(0.03) | 0.01(0.03) |
| Education level | 0.03(0.04) | 0.03(0.04) | 0.04(0.04) | −0.01(0.05) | −0.02(0.04) |
| Work tenure | 0.08(0.04) | 0.09(0.05) | 0.05(0.04) | 0.09(0.05) | 0.09 |
| Positive emotion | 0.12(0.06) | 0.09(0.06) | 0.05(0.05) | 0.10(0.08) | 0.07(0.07) |
| Creative self-efficacy | 0.43 | ||||
| Traditionality | 0.07 | ||||
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| Leader humor | 0.38 | 0.15(0.08) | 0.60 | 0.48 | |
| Interaction | |||||
| Leader humor × Traditionality | −0.16 | ||||
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| 0.25 | 0.33 | 0.50 | 0.40 | 0.46 |
N (Level 2) = 88; N (Level 1) = 306. Unstandardized coefficients are presented, with the corresponding standard errors in parentheses.
p < 0.05;
p < 0.001.
Figure 2The moderating effect of traditionality.
Results of moderated mediation analysis.
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| High traditionality | 0.29* [0.07, 0.52] | 0.12* [0.03, 0.22] | −0.04 [−0.22, 0.14] | 0.08 [−0.13, 0.28] |
| Low traditionality | 0.67* [0.44, 0.89] | 0.27* [0.17, 0.39] | 0.28* [0.11, 0.46] | 0.55* [0.35, 0.77] |
| Differences( | −0.38* [−0.65, −0.10] | −0.15* [−0.28, −0.04] | −0.32* [−0.56, −0.10] | −0.47* [−0.74, −0.22] |
N (Level 2) = 88; N (Level 1) = 306; 95% confidence interval in parentheses.*p < 0.05.