| Literature DB >> 35498149 |
Wen-Xuan Zhao1, Lijin Shao2, Mingjun Zhan3, Michael Yao-Ping Peng3.
Abstract
During the COVID-19 pandemic, business managers are facing many challenges from a severe challenge. Many organizations have changed their original management mode and organizational behavior to improve employees' organizational citizenship behavior, thus reducing their sense of anxiety and incapability. Thereinto, job performance of the employees also affects the growth and development of the organization. To explore how to fragment employees' positive psychology and job performance, this study discusses the influence on employees' subjective wellbeing and job performance from relevant factors at the organizational and individual levels. Also, to explore the influence of organizational support and occupation self-efficacy on job performance and the mediating role of subjective wellbeing during COVID-19, a total of 618 valid questionnaires were collected from all walks of life in 2020. Hypotheses were tested by structural equation modeling and Bootstrap technology. The results show that: (1) Professional self-efficacy and subjective wellbeing have a significant positive impact on job performance; (2) Subjective wellbeing plays a complete mediating role between organizational support and job performance, and subjective wellbeing plays a partial mediating role between professional self-efficacy and job performance; (3) Compared with the sense of organizational support, the positive effect of self-efficacy on job performance is more significant.Entities:
Keywords: COVID-19; job performance; occupation self-efficacy; perceived organizational support; subjective wellbeing
Year: 2022 PMID: 35498149 PMCID: PMC9047670 DOI: 10.3389/fpsyg.2021.774552
Source DB: PubMed Journal: Front Psychol ISSN: 1664-1078
FIGURE 1Research framework.
Demographic characteristics of research samples.
| Variable | Sample size | Percentage (%) | Variable | Sample size | Percentage (%) |
| Gender | Hold a managerial position | ||||
| Male | 346 | 55.987 | Yes | 198 | 32.039 |
| Female | 272 | 44.013 | No | 420 | 67.961 |
| Age | Company size | ||||
| 20–30 | 344 | 55.663 | Less than 100 people | 144 | 23.301 |
| 31–40 | 150 | 24.272 | 100–300 people | 114 | 18.447 |
| 41–50 | 103 | 16.667 | 300–500 people | 68 | 11.003 |
| 51–60 | 19 | 3.074 | 500–1,000 people | 119 | 19.256 |
| More than 60 | 2 | 0.324 | More than 1,000 people | 173 | 27.994 |
| Education | Type of industry | ||||
| High school | 175 | 28.317 | Catering service | 42 | 6.796 |
| Junior college | 148 | 23.948 | Information service | 40 | 6.472 |
| Undergraduate | 241 | 38.997 | Electrical and Electronic | 56 | 9.061 |
| Master | 54 | 8.738 | Bio-manufacturing | 10 | 1.618 |
| Marital status | Financial service | 33 | 5.340 | ||
| Married | 285 | 46.117 | Educational services | 48 | 7.767 |
| Unmarried | 317 | 51.294 | Other industries | 389 | 62.945 |
| Divorced | 16 | 2.589 | Work online during pandemic | ||
| Work years | Yes | 371 | 60.032 | ||
| Less than 1 | 85 | 13.754 | No | 247 | 39.968 |
| 1–5 years | 256 | 41.424 | Online working time per day | ||
| 6–10 years | 113 | 18.285 | Less than 1 h | 113 | 18.285 |
| 11–15 years | 61 | 9.871 | 1–3 h | 171 | 27.670 |
| 16–20 years | 46 | 7.443 | 3–5 h | 121 | 19.579 |
| More than 21 | 57 | 9.223 | 5–7 h | 89 | 14.401 |
| More than 7 h | 124 | 20.065 |
Measurement model.
| 1 | 2 | 3 | 4 | 5 | 6 | |
| 1.Organizational support | ||||||
| 2.Self-efficacy | 0.446 | |||||
| 3.Emotional wellbeing | 0.629 | 0.632 | ||||
| 4.Psychological wellbeing | 0.595 | 0.689 | 0.832 | |||
| 5.Social wellbeing | 0.551 | 0.643 | 0.797 | 0.824 | ||
| 6.Job performance | 0.391 | 0.640 | 0.564 | 0.627 | 0.597 | |
| Mean | 3.380 | 3.971 | 3.796 | 3.829 | 3.928 | 3.883 |
| SD | 0.787 | 0.683 | 0.744 | 0.709 | 0.713 | 0.600 |
| Cronbach’s α | 0.919 | 0.898 | 0.903 | 0.894 | 0.913 | 0.907 |
| AVE | 0.675 | 0.831 | 0.776 | 0.760 | 0.794 | 0.682 |
| CR | 0.939 | 0.937 | 0.933 | 0.927 | 0.939 | 0.928x |
Results of common method bias.
| Model | cmin | cmin/df | CFI | TLI | RMSEA | SRMR |
| 1-factor model | 3760.545 | 22.121 | 0.629 | 0.585 | 0.185 | 0.125 |
| 2-factor model | 2723.662 | 16.116 | 0.736 | 0.703 | 0.157 | 0.129 |
| 3-factor model | 1690.444 | 10.122 | 0.842 | 0.821 | 0.122 | 0.111 |
| 4-factor model | 444.579 | 2.761 | 0.971 | 0.965 | 0.053 | 0.047 |
FIGURE 2Results of structural model. *** of p < 0.001.
Indirect effect of structural model.
| Paths | Std. β | Std. error | Decision | |
| Perceived organizational support→ Subjective wellbeing→ Job performance | 0.162 | 0.034 | 4.731 | Support |
| Occupational self-efficacy→ Subjective wellbeing→ Job performance | 0.201 | 0.048 | 4.200 | Support |
** if p < 0.01; *** if p < 0.001.