| Literature DB >> 33192872 |
Zhiyu Xie1, Na Wu2, Tong Yue2, Jing Jie1, Guanghui Hou3, Anguo Fu1.
Abstract
It has been shown that leadership is a major factor that influences creative performance. Although past studies have found that leader-member exchange (LMX) has direct effects on employee creative performance, there continues to be a lack of research examining how the LMX relationship mediates creative performance. This study used self-determination theory to examine the mediating effects of the LMX relationship on creative performance through attitudinal and emotional processes. Participants were supervisors and subordinates of township enterprises in the Pearl River Delta in China. There were 386 valid supervisor-subordinate dyads. Supervisors were responsible for assessing creative performance and the remaining variables were completed by employees. Results showed that high LMX increased the positive moods of subordinates, improved creative performance, and stimulated intrinsic motivation for improvement. Based on the results, we have proposed academic and practical recommendations such as organizations that want to encourage creativity, could begin by training managers to demonstrate high LMX by strengthening their relationships with employees. We also described study limitations, and suggested directions for future studies.Entities:
Keywords: creative performance; intrinsic motivation; leader-member exchange; positive moods; self-determination theory
Year: 2020 PMID: 33192872 PMCID: PMC7655925 DOI: 10.3389/fpsyg.2020.573793
Source DB: PubMed Journal: Front Psychol ISSN: 1664-1078
Means, standard deviations, and correlations between the study variables.
| 1. Years of education | 15.92 | 1.65 | (–) | ||||||
| 2. Firm tenure | 3.51 | 3.39 | −0.19** | (–) | |||||
| 3. Category of industry | 0.33 | 0.48 | 0.07 | 0.02 | (–) | ||||
| 4. LMX | 3.74 | 0.67 | 0.03 | −0.03 | 0.01 | (0.85) | |||
| 5. Intrinsic motivation | 4.54 | 0.48 | 0.15* | −0.06 | −0.01 | 0.38*** | (0.86) | ||
| 6. Positive moods | 3.36 | 0.66 | 0.13* | −0.11* | 0.04 | 0.39*** | 0.47*** | (0.87) | |
| 7. Creative performance | 4.01 | 0.93 | −0.01 | −0.02 | −0.13* | 0.18*** | 0.26*** | 0.25*** | (0.96) |
Results of confirmatory factor analysis of the study variables.
| Null model | 29033.21 | 1041 | 27.88 | – | – | – | – | – |
| 1. Four-factor | 2951.28 | 988 | 2.99 | – | 0.94 | 0.94 | 0.94 | 0.08 |
| 2. Three-factor | 3754.43 | 989 | 3.80 | 801.31 | 0.93 | 0.93 | 0.93 | 0.09 |
| 3. Three-factor | 3763.57 | 989 | 3.81 | 815.81 | 0.93 | 0.93 | 0.93 | 0.09 |
| 4. Three-factor | 3819.61 | 989 | 3.86 | 857.51 | 0.93 | 0.93 | 0.93 | 0.09 |
| 5. Two-factor | 4548.75 | 991 | 4.59 | 1597.20 | 0.92 | 0.92 | 0.91 | 0.10 |
| 6. One-factor | 11521.32 | 994 | 11.59 | 8563.41 | 0.84 | 0.84 | 0.84 | 0.18 |
Summary of model fit indices.
| 1 | 3267.78 | 1125 | 2.90 | – | 0.94 | 0.94 | 0.94 | 0.08 |
| 2 | 3265.49 | 1124 | 2.90 | −2.29 | 0.94 | 0.94 | 0.94 | 0.08 |
| 3 | 3163.99 | 1125 | 2.81 | – | 0.95 | 0.95 | 0.94 | 0.08 |
| 4 | 3170.41 | 1125 | 2.82 | – | 0.95 | 0.95 | 0.94 | 0.08 |
| 5 | 3162.59 | 1122 | 2.82 | – | 0.95 | 0.95 | 0.94 | 0.08 |
FIGURE 1Structural equation model with moderation results. *p < 0.05, ***p < 0.001.