| Literature DB >> 36003108 |
Zihan Wang1,2, Geovanny Genaro Reivan Ortiz2,3.
Abstract
Entrepreneurship education is considered as an important way to influence the competitiveness of any country or industry. Therefore, entrepreneurship education provides opportunities to progress to a more competitive educational environment. This paper examines the impact of students' entrepreneurship education in China on their entrepreneurial intentions. Perceived entrepreneurial capacity, education in entrepreneurship, and attitudes toward entrepreneurship are all factors in the model developed to predict entrepreneurial intention. Structured equation modeling (SEM) is being used to test 98 management students from various universities in China. The findings show that there is statistically significant and positive relationship among entrepreneurship learning, entrepreneurial attitude, entrepreneurship education, and management students' entrepreneurial intention. Perceived behavioral control and perceive social rule significantly improve management students' entrepreneurial intention. Moreover, technology transfer correlates statistically with students' entrepreneurial intentions. Thus, universities are being encouraged to offer entrepreneurial training modules to increase their students' entrepreneurial intent.Entities:
Keywords: entrepreneurial intentions; entrepreneurial training; entrepreneurship education; partial least squares; technology transfer
Year: 2022 PMID: 36003108 PMCID: PMC9393513 DOI: 10.3389/fpsyg.2022.953324
Source DB: PubMed Journal: Front Psychol ISSN: 1664-1078
Figure 1A model for predicting the entrepreneurial intentions of management students.
The demographics of respondents.
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|---|---|---|---|
| Age | <19 | 5 | 5.1 |
| 19 to 23 | 67 | 68.4 | |
| <23 | 26 | 26.5 | |
| Gender | Male | 34 | 34.7 |
| Female | 64 | 65.3 | |
| Education level | Diploma | 45 | 45.9 |
| Bachelor | 53 | 54.1 | |
| Entrepreneurial ancestry in the family | Yes | 15 | 15.3 |
| No | 83 | 84.7 | |
| Associative experience | Yes | 39 | 39.8 |
| No | 59 | 60.2 | |
| Training wishes | Pseudo-educational project: Learning to teach yourself | 57 | 58.1 |
| Testimonials from business owners | 21 | 21.4 | |
| Hypothetical course | 20 | 20.4 |
Results of converging validity.
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|---|---|---|---|---|---|---|
| Entrepreneurial learning | EL1 | 0.819 | 0.917 | 0.930 | 0.935 | 0.764 |
| EL2 | 0.824 | |||||
| EL3 | 0.942 | |||||
| EL4 | 0.917 | |||||
| Perceived Social rule | PSR1 | 0.807 | 0.816 | 0.820 | 0.903 | 0.626 |
| PSR2 | 0.860 | |||||
| PSR3 | 0.822 | |||||
| PSR4 | 0.770 | |||||
| Entrepreneurial attitude | EAT1 | 0.832 | 0.802 | 0.838 | 0.922 | 0.668 |
| EAT2 | 0.778 | |||||
| EAT3 | 0.766 | |||||
| EAT4 | 0.820 | |||||
| Entrepreneurship education | EED1 | 0.860 | 0.899 | 0.893 | 0.951 | 0.595 |
| EED2 | 0.873 | |||||
| EED3 | 0.746 | |||||
| EED4 | 0.845 | |||||
| EED5 | 0.824 | |||||
| Perceived behavior control | PBC1 | 0.824 | 0.862 | 0.866 | 0.876 | 0.671 |
| PBC2 | 0.837 | |||||
| PBC3 | 0.846 | |||||
| PBC4 | 0.846 | |||||
| Entrepreneurial Intentions | EINT1 | 0.909 | 0.901 | 0.822 | 0.835 | 0.706 |
| EINT2 | 0.833 | |||||
| EINT3 | 0.884 | |||||
| EINT4 | 0.915 | |||||
| EINT5 | 0.787 |
Discriminate validity results.
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|---|---|---|---|---|---|---|
| EL | 0.879 | |||||
| PSR | 0.535 | 0.796 | ||||
| EAT | 0.659 | 0.627 | 0.840 | |||
| EED | 0.592 | 0.577 | 0.582 | 0.793 | ||
| PBC | 0.592 | 0.515 | 0.427 | 0.529 | 0.769 | |
| EINT | 0.616 | 0.536 | 0.444 | 0.550 | 0.800 | 0.582 |
Discriminate validity–loading and cross-loading criterion.
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|---|---|---|---|---|---|---|
| EL1 |
| 0.520 | 0.503 | 0.462 | 0.422 | 0.462 |
| EL2 |
| 0.564 | 0.623 | 0.537 | 0.662 | 0.607 |
| EL3 |
| 0.568 | 0.565 | 0.501 | 0.622 | 0.563 |
| EL4 |
| 0.563 | 0.453 | 0.435 | 0.619 | 0.502 |
| PSR1 | 0.424 |
| 0.530 | 0.487 | 0.614 | 0.544 |
| PSR2 | 0.509 |
| 0.485 | 0.424 | 0.387 | 0.432 |
| PSR3 | 0.421 |
| 0.387 | 0.444 | 0.341 | 0.391 |
| PSR4 | 0.371 |
| 0.241 | 0.361 | 0.291 | 0.298 |
| EAT1 | 0.561 | 0.439 |
| 0.393 | 0.315 | 0.529 |
| EAT2 | 0.583 | 0.459 |
| 0.466 | 0.485 | 0.600 |
| EAT3 | 0.464 | 0.504 |
| 0.348 | 0.389 | 0.515 |
| EAT4 | 0.436 | 0.369 |
| 0.472 | 0.435 | 0.557 |
| EED1 | 0.449 | 0.435 | 0.456 |
| 0.460 | 0.575 |
| EED2 | 0.483 | 0.413 | 0.578 |
| 0.575 | 0.668 |
| EED3 | 0.514 | 0.501 | 0.423 |
| 0.548 | 0.588 |
| EED4 | 0.438 | 0.478 | 0.437 |
| 0.559 | 0.609 |
| EED5 | 0.337 | 0.413 | 0.519 |
| 0.443 | 0.569 |
| PBC1 | 0.461 | 0.398 | 0.465 | 0.447 |
| 0.577 |
| PBC2 | 0.405 | 0.327 | 0.426 | 0.476 |
| 0.568 |
| PBC3 | 0.570 | 0.469 | 0.595 | 0.553 |
| 0.677 |
| PBC4 | 0.442 | 0.394 | 0.461 | 0.489 |
| 0.588 |
| EINT1 | 0.431 | 0.385 | 0.468 | 0.410 | 0.421 |
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| EINT2 | 0.618 | 0.510 | 0.500 | 0.495 | 0.502 |
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| EINT3 | 0.598 | 0.283 | 0.536 | 0.562 | 0.460 |
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| EINT4 | 0.423 | 0.397 | 0.522 | 0.511 | 0.543 |
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| EINT5 | 0.550 | 0.288 | 0.493 | 0.411 | 0.431 |
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The most important information is highlighted in bold.
Figure 2Structural model analysis results. *** significance at 1%.
Result of hypothesis testing.
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| H1 | EL → EINT | 0.468*** | 3.111 | 0.001 | Supported |
| H2 | PSR → EINT | 0.149 | 0.968 | 0.379 | Not supported |
| H3 | EAT → EINT | 0.131*** | 1.900 | 0.004 | Not supported |
| H4 | EED → EINT | 0.380*** | 3.267 | 0.003 | Supported |
| H5 | PBC → EINT | 0.290*** | 2.311 | 0.002 | Supported |
*** significance at 1%.