| Literature DB >> 35783796 |
Abstract
The concept of social entrepreneurship emerged as a significant factor that contributes toward public welfare and prosperity. Recent studies showed that social entrepreneurship influences the economic growth and sustainability of the state. Therefore, the underlying aim of this study was to investigate the impact of social entrepreneurship on sustainable economic growth and value creation. This study also undertook to observe the mediating role of innovation in the relationship between social entrepreneurship and sustainable economic growth and between social entrepreneurship and value creation. A questionnaire technique was adopted to obtain data from 343 tour operators in China. The Smart-PLS software was used to analyze the data through the aid of a structural equation modelling (SEM) technique. The results revealed that social entrepreneurship has an effect on sustainable economic growth and value creation. The results also demonstrated that innovation has an effect on sustainable economic growth and value creation. Moreover, it was also observed that innovation mediated the relationship between social entrepreneurship and sustainable economic growth and between social entrepreneurship and value creation. Theoretically, this study made a valuable contribution by examining the impact of social entrepreneurship on sustainable economic growth and value creation and innovation as a mediator. In terms of practical implications, this study would certainly aid the policymakers to devise policies and strategies aim to encourage and promote social entrepreneurship. Moreover, future studies can introduce other mediating and moderating variables in order to gain a deeper insight into the phenomenon.Entities:
Keywords: SEM technique; innovation; social entrepreneurship; sustainable economic growth; value creation
Year: 2022 PMID: 35783796 PMCID: PMC9240284 DOI: 10.3389/fpsyg.2022.914700
Source DB: PubMed Journal: Front Psychol ISSN: 1664-1078
Figure 1Theoretical framework. SE, social entrepreneurship; inno, innovation; SEG, sustainable economic growth; VC, value creation.
Demographics analysis.
| Demographics | Frequency | Percentage (%) |
|---|---|---|
|
| ||
| Male | 248 | 72.30 |
| Female | 95 | 27.5 |
|
| ||
| 20–30 | 65 | 18.95 |
| 31–40 | 129 | 37.61 |
| 41–50 | 62 | 18.08 |
| Above 50 | 87 | 25.36 |
|
| ||
| Bachelor’s | 138 | 40.23 |
| Master’s | 149 | 43.44 |
| Ph.D. and others | 56 | 16.393 |
N = 343.
Figure 2Output of measurement model. SE, social entrepreneurship; inno, innovation; SEG, sustainable economic growth; VC, value creation.
Model assessment (direct model).
| Construct reliability and validity | ||||||
|---|---|---|---|---|---|---|
| Factor loadings | VIF |
| Composite reliability | AVE | ||
| Social entrepreneurship | SE1 | 0.755 | 1.975 | 0.883 | 0.904 | 0.542 |
| SE2 | 0.774 | 2.930 | ||||
| SE3 | 0.750 | 2.530 | ||||
| SE4 | 0.706 | 1.614 | ||||
| SE5 | 0.726 | 2.697 | ||||
| SE6 | 0.730 | 2.605 | ||||
| SE7 | 0.688 | 2.432 | ||||
| SE8 | 0.756 | 3.214 | ||||
| Innovation | Inno1 | 0.785 | 3.325 | 0.931 | 0.942 | 0.672 |
| Inno2 | 0.857 | 4.161 | ||||
| Inno3 | 0.863 | 4.330 | ||||
| Inno4 | 0.811 | 3.629 | ||||
| Inno5 | 0.772 | 2.152 | ||||
| Inno6 | 0.768 | 2.241 | ||||
| Inno7 | 0.835 | 4.239 | ||||
| Inno8 | 0.857 | 4.836 | ||||
| Sustainable economic growth | SEG1 | 0.882 | 2.249 | 0.868 | 0.919 | 0.790 |
| SEG2 | 0.888 | 2.254 | ||||
| SEG3 | 0.898 | 2.287 | ||||
| Value creation | VC1 | 0.801 | 1.666 | 0.884 | 0.920 | 0.743 |
| VC2 | 0.908 | 3.444 | ||||
| VC3 | 0.863 | 2.601 | ||||
VIF, variance inflation factor; α, Cronbach’s alpha; AVE, average variance extracted.
Discriminant validity.
| Fornell–Larcker criterion | Heterotrait–Monotrait ratio | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| Constructs | Inno | SE | SEG | VC | Constructs | Inno | SE | SEG | VC |
| Inno | 0.820 | Inno | |||||||
| SE | 0.493 | 0.736 | SE | 0.500 | |||||
| SEG | 0.537 | 0.596 | 0.889 | SEG | 0.565 | 0.647 | |||
| VC | 0.450 | 0.636 | 0.625 | 0.862 | VC | 0.464 | 0.684 | 0.710 | |
N = 343. SE, social entrepreneurship; inno, innovation; SEG, sustainable economic growth; VC, value creation.
R-square values for the variables.
| R-square | Q-square | |
|---|---|---|
| Inno | 0.241 | 0.137 |
| SEG | 0.430 | 0.315 |
| VC | 0.426 | 0.288 |
N = 343. SE, social entrepreneurship; inno, innovation; SEG, sustainable economic growth; VC, value creation.
Collinearity statistics (inner-VIF values).
| Inno | SE | SEG | VC | |
|---|---|---|---|---|
| Inno | 1.322 | 1.322 | ||
| SE | 1.000 | 1.322 | 1.322 | |
| SEG | ||||
| VC |
N = 343. SE, social entrepreneurship; inno, innovation; SEG, sustainable economic growth; VC, value creation.
Figure 3Structural model bootstrapping.
Direct effects of the variable.
| Paths | H | O | M | SD | Effect sizes (f2) | Results | ||
|---|---|---|---|---|---|---|---|---|
| SE ➔ SEG | H1 | 0.438 | 0.434 | 0.062 | 7.093 | 0.256 | 0.000*** | Accepted |
| SE ➔ VC | H2 | 0.547 | 0.547 | 0.061 | 8.953 | 0.397 | 0.000*** | Accepted |
| SE ➔ Inno | H3 | 0.493 | 0.495 | 0.047 | 10.481 | 0.322 | 0.000*** | Accepted |
| Inno ➔ SEG | H4 | 0.321 | 0.323 | 0.060 | 5.360 | 0.138 | 0.000*** | Accepted |
| Inno ➔ VC | H5 | 0.180 | 0.181 | 0.063 | 2.852 | 0.043 | 0.005** | Accepted |
N = 343. ***p < 0.001, **p < 0.005, SRMR = 0.017, NFI = 0.700. H, hypothesis; O, original sample; M, sample mean; SD, standard deviation; SE, social entrepreneurship; inno, innovation; SEG, sustainable economic growth; VC, value creation.
Indirect effects of the variable.
| Paths | H | O | M | SD |
| Results | |
|---|---|---|---|---|---|---|---|
| SE ➔ Inno ➔ SEG | H6 | 0.158 | 0.159 | 0.031 | 5.123 | 0.000*** | Accepted |
| SE ➔ Inno ➔ VC | H7 | 0.089 | 0.089 | 0.031 | 2.853 | 0.005** | Accepted |
N = 343. ***p < 0.001, **p < 0.005. H, hypothesis; O, original sample; M, sample mean; SD, standard deviation; SE, social entrepreneurship; inno, innovation; SEG, sustainable economic growth; VC, value creation.