| Literature DB >> 33192942 |
Chaoying Tang1, Huijuan Ma1, Stefanie E Naumann2, Ziwei Xing1.
Abstract
Research on the relationship between work stress and employee creativity has been mixed. This study on 823 female attorneys in China identifies employee creative self-efficacy and employees' value of Zhongyong as moderators in this relationship. In this study, work stress is assessed by the perceived work uncertainty brought on by the COVID-19 pandemic. Our study found that although Zhongyong, which involves an employee's ambidextrous thinking, can be helpful for employee creativity, low levels of Zhongyong are better for employee creativity in an uncertain context such as the COVID-19 pandemic, due to the fact that high levels of Zhongyong result in an overemphasis on compromise and giving in when times are uncertain. Instead, low levels of Zhongyong will decrease employees' concern about others' acceptance in an uncertain environment. In addition, creative self-efficacy motivates employees to engage in creative efforts during times of work uncertainty. In sum, this study found that employee perceived work uncertainty brought on by COVID-19 enhances employee creativity when an employee's value of Zhongyong is low and creative self-efficacy is high.Entities:
Keywords: COVID-19; Zhongyong; creative self-efficacy; employee creativity; perceived work uncertainty
Year: 2020 PMID: 33192942 PMCID: PMC7658366 DOI: 10.3389/fpsyg.2020.596232
Source DB: PubMed Journal: Front Psychol ISSN: 1664-1078
FIGURE 1Research Model.
Sample.
| Range | N | % | |
| Age | 23–72 years | 38.67 | 8.119 |
| Gender | Male | 0 | 0 |
| Female | 823 | 100% | |
| Working tenure | < 5 years | 374 | 45.4 |
| 5–10 years | 184 | 22.4 | |
| > 10 years | 265 | 32.2 | |
| Education | Undergraduate | 404 | 49.1 |
| Graduate | 406 | 49.3 | |
| Ph.D. | 13 | 1.6 | |
| Partner of law firm | No | 595 | 72.3 |
| Yes | 228 | 27.7 | |
| Salary based lawyer | No | 567 | 68.9 |
| Yes | 256 | 31.1 | |
| Performance pay lawyer | No | 506 | 61.5 |
| Yes | 317 | 38.5 | |
| Second job lawyer | No | 814 | 98.9 |
| Yes | 9 | 1.1 | |
| Law firm type | Partner law firm | 575 | 69.9 |
| Special partner law firm | 152 | 18.5 | |
| Private law firm | 81 | 9.8 | |
| Other provinces and cities stationed in Beijing | 15 | 1.8 |
Descriptive statistics and correlations among variables.
| 1 | 2 | 4 | 5 | |||
| 1. Perceived uncertainty brought by COVID-19 | 3.4654 | 0.83781 | 0.78 | |||
| 2. Zhongyong | 4.1708 | 0.41237 | 0.021 | 0.90 | ||
| 4. Creative self-efficacy | 3.8048 | 0.58012 | −0.102** | 0.213** | 0.85 | |
| 5. Creativity | 3.9133 | 0.51947 | −0.025 | 0.333** | 0.517** | 0.87 |
Exploratory factor analysis.
| Factor | ||||
| Zhongyong | Creative self-efficacy | Creativity | Work stress covid19 | |
| Zhongyong 2 | 0.061 | 0.072 | 0.001 | |
| Zhongyong 4 | 0.097 | 0.135 | 0.004 | |
| Zhongyong 1 | 0.062 | 0.108 | 0.025 | |
| Zhongyong 3 | 0.106 | 0.030 | −0.011 | |
| Zhongyong 5 | 0.089 | 0.143 | 0.024 | |
| Creative self-efficacy2 | 0.146 | 0.205 | 0.004 | |
| Creative self-efficacy 1 | 0.127 | 0.218 | −0.046 | |
| Creative self-efficacy 3 | 0.066 | 0.160 | −0.135 | |
| Creativity 2 | 0.134 | 0.200 | −0.007 | |
| Creativity 3 | 0.215 | 0.157 | −0.025 | |
| Creativity 1 | 0.072 | 0.468 | 0.037 | |
| Perceived work uncertainty brought by covid19 1 | 0.051 | 0.009 | −0.081 | |
| Perceived work uncertainty brought by covid19 3 | −0.007 | −0.195 | 0.002 | |
| Perceived work uncertainty brought by covid19 2 | −0.010 | 0.016 | 0.066 | |
| Explanation% | 32.583 | 17.783 | 14.017 | 7.933 |
Confirmatory factor analysis (CFA).
| χ2/ | RMSEA | 90% CI for RMSEA | RMR | CFI | TLI | NFI | |
| One-factor Model (PWU + ZY + CSE + C) | 5.340 | 0.073 | [0.065, 0.080] | 0.042 | 0.952 | 0.933 | 0.942 |
| Two-factor Model (PUW + ZY + CSE, C) | 3.117 | 0.051 | [0.043, 0.059] | 0.022 | 0.976 | 0.967 | 0.966 |
| Three-factor Model (PWU, ZY + CSE, C) | 2.868 | 0.048 | [0.040, 0.056] | 0.023 | 0.979 | 0.971 | 0.968 |
| Four-factor Model (PWU, ZY, CSE, C) | 2.788 | 0.047 | [0.039, 0.054] | 0.031 | 0.979 | 0.972 | 0.967 |
Results of hierarchical regression analysis of hypothesized effects on creativity.
| Creativity | ||||||
| Model 1 | Model 2 | Model 3 | Model 4 | Model 5 | VIF | |
| Age | 0.031 | 0.031 | −0.007 | −0.008 | −0.005 | 1.442 |
| Working tenure | 0.003 | 0.004 | −0.045 | −0.042 | −0.044 | 1.025 |
| Education | 0.081 | 0.081* | 0.012 | 0.009 | 0.011 | 1.150 |
| Law firm type | –0.038 | −0.040 | −0.044 | −0.042 | −0.038 | 1.077 |
| Partner of law firm | 0.084 | 0.084* | 0.058 | 0.055 | 0.052 | 1.236 |
| Salary based attorneys | −0.076 | −0.076 | −0.053 | −0.055 | −0.055 | 1.863 |
| Performance payment attorneys | −0.028 | −0.028 | −0.038 | −0.039 | −0.039 | 1.486 |
| Second job attorneys | −0.034 | −0.034 | 0.019 | 0.023 | 0.017 | 1.089 |
| Perceived work uncertainty (PWU) | −0.027 | 0.017 | 0.027 | 0.023 | 1.079 | |
| Zhongyong | 0.238*** | 0.247*** | 0.249*** | 1.126 | ||
| Creative self-efficacy (CSE) | 0.465*** | 0.468*** | 0.466*** | 1.168 | ||
| PWU* Zhongyong | −0.066* | −0.077* | 1.140 | |||
| Zhongyong *CSE | −0.020 | −0.018 | 1.158 | |||
| PWU*CSE | 0.024 | −0.015 | 1.559 | |||
| PWU* Zhongyong*CSE | 0.072* | 1.623 | ||||
| Adj. | 0.012 | 0.011 | 0.321 | 0.323 | 0.325 | |
| △ | 0.021 | 0.001 | 0.308 | 0.004 | 0.003 | |
| 2.233* | 0.611 | 186.502*** | 1.723 | 3.922* | ||
| 8, 814 | 1, 813 | 2, 811 | 3, 808 | 1, 807 | ||
FIGURE 2Interactions.