2022
DOI: 10.1155/2022/7861631
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The Influencing Factors of Innovation and Entrepreneurship Intention of College Students Based on AHP

Abstract: Under the background of innovation and entrepreneurship (IE) driving economic development and transformation, it is of great significance to cultivate talents who dare to innovate and have the ability to IE. By stimulating IE potential of college students and improving their willingness to IE and on the basis of understanding the current situation of college students' IE, we explore the relevant factors affecting the willingness of college students to innovate and start a business. From two aspects of internal… Show more

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Cited by 8 publications
(7 citation statements)
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“…The following three conclusions were drawn based on the changes: first, the transformation efficiency values of eleven universities (Universities 1, 4, 5, 6, 8, 9, 11, 14, 15, 17, 27) increased in the second stage, with University 17 having the largest increase and reaching 0.24. Second, the transformation efficiency values of sixteen universities (Universities 2, 3, 7, 10, 12,13,16,18,19,20,21,22,23,24,25,26) decreased, with University 22 having the largest decrease and reaching -0.90. Third, the transformation efficiency values of some universities changed significantly in the second stage.…”
Section: Experimental Results and Analysismentioning
confidence: 99%
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“…The following three conclusions were drawn based on the changes: first, the transformation efficiency values of eleven universities (Universities 1, 4, 5, 6, 8, 9, 11, 14, 15, 17, 27) increased in the second stage, with University 17 having the largest increase and reaching 0.24. Second, the transformation efficiency values of sixteen universities (Universities 2, 3, 7, 10, 12,13,16,18,19,20,21,22,23,24,25,26) decreased, with University 22 having the largest decrease and reaching -0.90. Third, the transformation efficiency values of some universities changed significantly in the second stage.…”
Section: Experimental Results and Analysismentioning
confidence: 99%
“…On the one hand, with sci-tech progress and industrial structure adjustment, the demand for innovative talents is becoming increasingly urgent. As the future backbone of sci-tech innovation in China, college students should have strong collaborative innovation ability [12][13][14][15][16][17]. On the other hand, colleges and universities should shift the training mode from a single knowledge-based approach to a collaborative innovation approach in order to cope with increasingly fierce international competition [18][19][20][21].…”
Section: Introductionmentioning
confidence: 99%
“…A matrix positioning model is created in Literature [16] to evaluate the innovation and entrepreneurship ability of teachers in industry-oriented higher vocational universities. Literature [17] categorized the modules affecting university students intention into individual characteristics, self-consciousness, school education, and environmental factors from both internal and external factors. To identify and analyze the key influencing factors, hierarchal analysis was employed to calculate the weight value of each influencing factor.…”
Section: Related Researchmentioning
confidence: 99%
“…The study finally takes the input single indicator teacher-student ratio as an example. It calculates the resource allocation efficiency of the teacher-student ratio of each university before and after optimization according to equation (17), respectively. After the normalization of this data, the results of resource allocation efficiency of the teacher-student ratio of each university before and after the optimization are shown in Figure 5.…”
Section: Efficiency Of Resource Allocation For Innovation and Entrepr...mentioning
confidence: 99%
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