| Literature DB >> 35844864 |
Jianing Dong1,2, Xiao Wang1,2, Xuanwei Cao1,2, David Higgins2.
Abstract
In the context of a transitional economy, there are much more studies with a heroic characterization of social entrepreneurs, whereas there is limited exploration of their less positive stories. A range of studies tried to address this issue, although very few delved into the "inner layer" (work-related mental health) to unveil the mechanism of how social entrepreneurs develop their intention to quit their businesses. With a sample of 196 social business owners from China, this research focuses on the prosocial motivation of social entrepreneurs as well as its impacts on their work-related wellbeing and thus their business exit intention. With the partial least squares structural equation modeling, this research finds that prosocial motivation decreased entrepreneurs' partial work-related wellbeing, increasing their exit intention, and the mediating effects among the three components of work-related wellbeing were different. Furthermore, this research finds that work-related wellbeing's impact on exit intention was largely stronger for the social entrepreneurs without political connections.Entities:
Keywords: entrepreneurial exit intention; political connection; prosocial motivation; social entrepreneur; transitional economy; work-related wellbeing
Mesh:
Year: 2022 PMID: 35844864 PMCID: PMC9279698 DOI: 10.3389/fpubh.2022.883153
Source DB: PubMed Journal: Front Public Health ISSN: 2296-2565
Figure 1Theoretical model.
Sample demographics.
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| Age | ||
| 18–25 | 9 | 4.6% |
| 26–35 | 26 | 13.3% |
| 36–45 | 106 | 54.1% |
| 46–55 | 55 | 28.1% |
| Gender | ||
| Male | 87 | 44.4% |
| Female | 109 | 55.6% |
| Marital status | ||
| Married | 137 | 69.9% |
| Non-married | 59 | 30.1% |
| Length of current business ownership | ||
| <3 years | 56 | 28.6% |
| 3–5 years | 62 | 31.6% |
| 6–10 years | 36 | 18.4% |
| 11–15 years | 29 | 14.8% |
| >15 years | 13 | 6.6% |
| Educational level | ||
| Junior high school | 0 | 0% |
| High school or equal | 5 | 0.31% |
| Junior college | 37 | 18.9% |
| Bachelor degree | 103 | 52.6% |
| Postgraduate or above | 51 | 26.0% |
Operational definition.
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| Exit intention | An entrepreneur's desire or goal, at some point in the future, to leave his or her venture. | Pollack et al. ( |
| Prosocial motivation | The desire to benefit others or expend effort out of concern for others. | Grant ( |
| Job satisfaction | An attitudinal evaluative judgment of one's job or job experiences. | Chordiya et al. ( |
| Work anxiety | An emotional state of perceived apprehension and increased arousal. | Haider et al. ( |
| Work burnout | The condition of physical and emotional exhaustion. | Malach-Pines and Ayala ( |
The questionnaire.
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| Prosocial motivation | (1) I care about benefiting others through my work. |
| Job satisfaction | (1) Generally speaking, I am satisfied with my job. |
| Work anxiety | (1) I have felt fidgety or nervous as a result of my job. |
| Work burnout | When you think about your work overall, how often do you feel the following? |
| Exit intention | Participants rated the extent to which they would, in the next year? |
Descriptive statistics and correlations.
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| PM | 4.91 | 0.78 | NA | ||||
| JS | 1.78 | 0.74 | −0.33 | NA | |||
| WA | 4.98 | 1.04 | 0.52 | −0.11 | NA | ||
| WB | 3.82 | 1.37 | −0.09 | 0.43 | 0.12 | NA | |
| EI | 5.12 | 1.03 | 0.52 | −0.56 | 0.41 | −0.04 | NA |
PM, prosocial motivation; JS, job satisfaction; WB, work burnout; WA, work anxiety; EI, exit intention.
p < 0.01.
Reliability and AVE of the outer model.
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| PM | PM 1 | 0.847 | 0.869 | 0.897 | 0.686 |
| PM 2 | – | 0.845 | – | – | |
| PM 3 | – | 0.763 | – | – | |
| PM 4 | – | 0.831 | – | – | |
| WB | WB 1 | 0.968 | 0.625 | 0.953 | 0.677 |
| WB 2 | – | 0.581 | – | – | |
| WB 3 | – | 0.677 | – | – | |
| WB 4 | – | 0.766 | – | – | |
| WB 5 | – | 0.911 | – | – | |
| WB 6 | – | 0.946 | – | – | |
| WB 7 | – | 0.840 | – | – | |
| WB 8 | – | 0.944 | – | – | |
| WB 9 | – | 0.946 | – | – | |
| WB 10 | – | 0.885 | – | – | |
| WA | WA 1 | 0.925 | 0.885 | 0.945 | 0.812 |
| WA 2 | – | 0.932 | – | – | |
| WA 3 | – | 0.904 | – | – | |
| WA 4 | – | 0.887 | – | – | |
| EI | EI 1 | 0.931 | 0.910 | 0.956 | 0.880 |
| EI 2 | – | 0.962 | – | – | |
| EI 3 | – | 0.941 | – | – |
PM, prosocial motivation; WB, work burnout; WA, work anxiety; EI, exit intention.
Job satisfaction is a single–item construct.
Discriminant validity results – HTMT.
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| EI | |||||
| JS | 0.578 | ||||
| PM | 0.589 | 0.357 | |||
| WA | 0.445 | 0.112 | 0.586 | ||
| WB | 0.054 | 0.048 | 0.161 | 0.125 | |
PM, prosocial motivation; JS, job satisfaction; WB, work burnout; WA, work anxiety; EI, exit intention.
Standardized factor loadings and cross loadings of the outer model.
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| EI1 | 0.910 | −0.571 | 0.469 | 0.335 | −0.107 |
| EI2 | 0.962 | −0.532 | 0.498 | 0.422 | −0.078 |
| EI3 | 0.941 | −0.466 | 0.503 | 0.479 | −0.064 |
| JS1 | −0.558 | 1.000 | −0.328 | −0.113 | 0.055 |
| PM1 | 0.440 | −0.256 | 0.869 | 0.433 | −0.312 |
| PM2 | 0.376 | −0.243 | 0.848 | 0.494 | −0.080 |
| PM3 | 0.455 | −0.294 | 0.763 | 0.393 | −0.090 |
| PM4 | 0.461 | −0.296 | 0.831 | 0.449 | −0.240 |
| WA1 | 0.255 | −0.058 | 0.404 | 0.885 | 0.073 |
| WA2 | 0.374 | −0.130 | 0.469 | 0.932 | 0.003 |
| WA3 | 0.312 | −0.087 | 0.425 | 0.904 | 0.059 |
| WA4 | 0.550 | −0.116 | 0.575 | 0.884 | 0.039 |
| WB1 | −0.004 | −0.015 | 0.012 | 0.082 | 0.624 |
| WB10 | −0.031 | 0.050 | −0.130 | 0.129 | 0.885 |
| WB2 | 0.009 | 0.062 | 0.102 | 0.163 | 0.581 |
| WB3 | 0.049 | 0.019 | 0.067 | 0.207 | 0.677 |
| WB4 | 0.001 | 0.011 | −0.043 | 0.107 | 0.766 |
| WB5 | −0.067 | −0.002 | −0.151 | 0.032 | 0.911 |
| WB6 | −0.075 | 0.072 | −0.116 | 0.086 | 0.946 |
| WB7 | −0.029 | 0.052 | −0.103 | 0.121 | 0.840 |
| WB8 | −0.070 | 0.060 | −0.182 | 0.078 | 0.944 |
| WB9 | −0.101 | 0.073 | −0.246 | 0.019 | 0.948 |
PM, prosocial motivation; JS, job satisfaction; WB, work burnout; WA, work anxiety; EI exit intention. The gray cells are the factor loadings of scale items for each construct.
Figure 2Path coefficient and R-squares of their inner model.
Summary of inner model results.
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| H1a: PM–>JS | −0.328 | 5.382 | Yes |
| H2a: PM–>WA | 0.535 | 8.358 | Yes |
| H3a: PM–>WB | −0.224n.s. | 1.248 | No |
PM, prosocial motivation; JS, job satisfaction; WB, work burnout; WA, work anxiety.
P-value < 0.001;
n.s. not significant.
Number of bootstrap samples = 5,000.
Test of mediation effect.
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| PM –> JS | −0.329 | 0.090 | 3.647 | |
| JS –> EI | −0.452 | 0.073 | 6.188 | |
| PM –> WA | 0.534 | 0.089 | 5.998 | |
| WA –> EI | 0.268 | 0.125 | 2.151 | |
| PM –> WB | −0.223 | 0.213 | 1.050 | |
| WB –> EI | −0.025 | 0.082 | 0.305 | |
| PM –> EI | 0.227 | 0.109 | 2.072 | |
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| Indirect effect | 0.149 | 0.143 | 0.006 | 0.524 |
| Sobel Z Test | 3.14 | 2.02 | 0.29 | – |
| VAF | 0.284 | 0.273 | 0.011 | 0.567 |
PM, prosocial motivation; JS, job satisfaction; WB, work burnout; WA, work anxiety; EI, exit intention.
Number of bootstrap samples = 5,000.
Multi–group analysis results.
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| JS–>EI | −0.510 | (−0.608, −0.403) | −0.651 | (−0.527,−0.229) | −0.382 | (−0.760,−0.535) | 0.008 | YES |
| WA–>EI | 0.385 | (0.275, 0.507) | 0.486 | (0.352, 0.618) | 0.234 | (0.289,0.385) | 0.030 | YES |
| WB–>EI | −0.078 | (−0.183, 0.099) | −0.066 | (−0.252, 0.047) | −0.105 | (−0.378,-0.197) | 0.846 | NO |
PM, prosocial motivation; JS, job satisfaction; WB, work burnout; WA, work anxiety; EI, exit intention; PC, political connection.
β, path coefficient; CI = 95% Confidence interval.