| Literature DB >> 34992479 |
Longjun Liu1, Wenhai Wan2, Qing Fan3.
Abstract
PURPOSE: Literature shows that it is a paradox whether employees can achieve performance in telework, especially during COVID-19. Our aim is to clarify the relationship between telework and employees' job performance through a moderated mediation model.Entities:
Keywords: COVID-19; job crafting; performance; performance goal orientation; telework
Year: 2021 PMID: 34992479 PMCID: PMC8711842 DOI: 10.2147/PRBM.S340322
Source DB: PubMed Journal: Psychol Res Behav Manag ISSN: 1179-1578
Figure 1Theoretical model.
Basic Characteristics of Sample
| Variables | Types | n | Freq | Variables | Types | n | Freq |
|---|---|---|---|---|---|---|---|
| Gender | Male | 719 | 54.9% | Firm type | Service | 173 | 13.2% |
| Female | 590 | 45.1% | E-commerce | 549 | 41.9% | ||
| Culture | 247 | 18.9% | |||||
| Other | 340 | 26.0% | |||||
| Age | < 30 | 306 | 23.4% | Scale | < 100 | 176 | 13.4% |
| 30~40 | 587 | 44.8% | 101~200 | 394 | 30.1% | ||
| 40~50 | 340 | 26.0% | 201~300 | 478 | 36.5% | ||
| > 50 | 76 | 5.8% | > 300 | 261 | 20.0% | ||
| Education | High school | 91 | 7.0% | Firm age | < 3 years | 195 | 14.9% |
| College | 395 | 30.2% | 3 ~ 6 years | 447 | 34.1% | ||
| Bachelor | 644 | 49.2% | 6 ~ 10 years | 517 | 39.5% | ||
| Master/Doctor | 179 | 13.7% | > 10 years | 150 | 11.5% | ||
| Seniority | < 3 years | 213 | 16.3% | Location | East China | 475 | 36.3% |
| 3 ~ 6 years | 645 | 49.3% | Central China | 147 | 11.2% | ||
| 6 ~ 10 years | 340 | 26.0% | South China | 591 | 45.2% | ||
| > 10 years | 111 | 8.5% | Other | 96 | 7.3% |
Quality Criteria of Constructs
| Measures | Loading | Omega | CR | AVE | Measures | Loading | Omega | CR | AVE |
|---|---|---|---|---|---|---|---|---|---|
| PP | 0.700 | 0.908 | 0.923 | 0.546 | JC | 0.793 | 0.956 | 0.960 | 0.620 |
| 0.835 | 0.781 | ||||||||
| 0.717 | 0.786 | ||||||||
| 0.721 | 0.802 | ||||||||
| 0.748 | 0.785 | ||||||||
| 0.700 | 0.821 | ||||||||
| 0.728 | 0.798 | ||||||||
| 0.755 | 0.792 | ||||||||
| 0.738 | 0.776 | ||||||||
| 0.743 | 0.848 | ||||||||
| PPGO | 0.781 | 0.765 | 0.850 | 0.586 | 0.808 | ||||
| 0.757 | 0.791 | ||||||||
| 0.784 | 0.760 | ||||||||
| 0.740 | 0.743 | ||||||||
| PAGO | 0.842 | 0.847 | 0.896 | 0.684 | JP | 0.725 | |||
| 0.825 | 0.797 | 0.784 | 0.860 | 0.607 | |||||
| 0.818 | 0.775 | ||||||||
| 0.824 | 0.767 | ||||||||
| 0.777 |
Abbreviations: PP, proactive personality; JC, job crafting; JP, job performance; PPGO, performance-prove goal orientation; PAGO, performance-avoid goal orientation.
Descriptive Statistics and Correlation Analysis
| Variables | M | SD | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1.Gender | – | – | ||||||||||
| 2.Year | 2.14 | 0.84 | −0.029 | |||||||||
| 3.Education | 2.70 | 0.79 | 0.028 | 0.048 | ||||||||
| 4.Seniority | 2.27 | 0.83 | −0.074* | 0.414*** | −0.003 | |||||||
| 5.PP | 3.35 | 0.61 | 0.006 | 0.032 | 0.064* | 0.015 | ||||||
| 6.TW | 3.36 | 1.26 | −0.057* | −0.001 | −0.019 | 0.108*** | 0.053 | |||||
| 7.JC | 3.55 | 0.77 | 0.033 | 0.015 | −0.045 | 0.071* | 0.256*** | 0.390*** | ||||
| 8.JP | 3.41 | 0.69 | −0.039 | 0.034 | −0.032 | 0.116*** | 0.184*** | 0.346*** | 0.435*** | |||
| 9.PPGO | 3.48 | 0.76 | 0.027 | −0.002 | 0.023 | −0.011 | 0.053 | −0.002 | 0.073** | 0.131*** | ||
| 10.PAGO | 2.82 | 0.94 | 0.013 | −0.018 | −0.007 | −0.006 | −0.079** | 0.027 | −0.141*** | −0.095** | −0.582*** |
Notes: * p < 0.05, ** p < 0.01, *** p < 0.001; Diagonal bold is the square root of average variance extracted (AVE).
Abbreviations: PP, proactive personality; TW, telework; JC, job crafting; JP, job performance; PPGO, performance-prove goal orientation; PAGO, performance-avoid goal orientation.
Results of Confirmatory Factor Analysis
| Models | χ2/df | CFI | TLI | IFI | RMSEA |
|---|---|---|---|---|---|
| Six-factor model: PP; TW; JC; PPGO; PAGO; JP | 2.660 | 0.959 | 0.956 | 0.960 | 0.036 |
| Five-factor model: PP; TW; JC; PPGO+PAGO; JP | 3.227 | 0.945 | 0.941 | 0.945 | 0.041 |
| Four-factor model: PP; TW; JC; PPGO+PAGO+JP | 5.732 | 0.742 | 0.813 | 0.833 | 0.060 |
| Three-factor model: PP; TW+JC; PPGO+PAGO+JP | 5.730 | 0.822 | 0.875 | 0.883 | 0.060 |
| Two-factor model: PP; TW+JC+PPGO+PAGO+JP | 9.893 | 0.778 | 0.765 | 0.779 | 0.082 |
| One-factor model: PP+TW+JC+PPGO+PAGO+JP | 18.048 | 0.574 | 0.550 | 0.575 | 0.114 |
Abbreviations: PP, proactive personality; TW, telework; JC, job crafting; JP, job performance; PPGO, performance-prove goal orientation; PAGO, performance-avoid goal orientation.
Figure 2Test results of SEM.