Entrepreneurial Interest and Entrepreneurial Competence among Spanish Youth: An Analysis with Artificial Neural Networks

Rico, María Isabel Luis; Llamazares, María del Camino Escolar; Torre-Cruz, Tamara De la; Jiménez, Alfredo; Herrero, Álvaro; Cámara, Carmen Palmero; Eguizábal, Juan Alfredo Jiménez

doi:10.20944/preprints202001.0263.v1

Cited by 6 publications

(1 citation statement)

References 38 publications

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“…Regarding the entrepreneurial intention of college students, entrepreneurial education should aim to improve entrepreneurial competence, and even if students have no intention of starting a business at present, entrepreneurial education can lay a foundation for the future. Luis-Rico et al ( 2020 ) shows that the cultivation of entrepreneurial competence has an impact on entrepreneurial intention, and education and curriculum reform must promote the development of entrepreneurial ability at all stages of education to improve entrepreneurial intention. Some scholars find that the ability to start a business in early adolescence has a positive impact on the entrepreneurial process and can promote multiple cases of entrepreneurship for an individual's career (Obschonka et al, 2011 ).…”

Section: Discussionmentioning

confidence: 99%

How Entrepreneurship Education at Universities Influences Entrepreneurial Intention: Mediating Effect Based on Entrepreneurial Competence

Chen

Sha

et al. 2021

Front. Psychol.

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Research shows that entrepreneurial activities significantly promote economic development, which enhances the importance of the innovative entrepreneurial potential of college students. This study analyzes the effect of entrepreneurship education on entrepreneurial intention from the perspective of planned behavior theory. By examining the significant role of entrepreneurship education at colleges and universities on economic and social development, we established a conceptual model. To understand the relationship between entrepreneurship education and entrepreneurial intention, the hypotheses propose the intermediary role of entrepreneurial ability, and the study provides evidence from China the relationship between entrepreneurship education and entrepreneurial intention. Improving entrepreneurial intention and encouraging college students to establish businesses through entrepreneurship education in universities is crucial. This study proposes a hypothetical model of the relationship between entrepreneurial competence and entrepreneurial intention in entrepreneurship education at universities. Using a questionnaire survey of college students with practical experience in the Yangtze River Delta of China, the bootstrap method in the SPSS macro program process software verifies the hypotheses. The results show that entrepreneurial teaching, business plan competition, and entrepreneurial practice support positively affect entrepreneurial competence. In addition, entrepreneurial competence plays an intermediary role in the relationship between entrepreneurial teaching, business plan competition, entrepreneurship practice support, and entrepreneurial intention. Entrepreneurship education improves the ability to establish a business in the present and in entrepreneurial activities in the future. Entrepreneurial competence obtained through entrepreneurship education continuously affects entrepreneurial intention.

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Section: Discussionmentioning

confidence: 99%

How Entrepreneurship Education at Universities Influences Entrepreneurial Intention: Mediating Effect Based on Entrepreneurial Competence

Chen

Sha

et al. 2021

Front. Psychol.

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Modelling the Effectiveness of a Social Media-based Counseling Intervention on Interest, Entrepreneurial Skills, and Behavioural Intention Towards Painting Among Youth Without Paid Jobs in Nigeria

Okpara

Anselm

Ugwu

et al. 2021

Vision: The Journal of Business Perspective

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In this study, we made use of the human capital theory (HCT) and the theory of planned behaviour (TPB) to develop a model that explains the effectiveness of a social media–based intervention on interest, entrepreneurial skills and behavioural intention towards painting among young graduates without paid employment in Nigeria. The study included an experiment involving 470 (235 control-group and 235 treatment-group) participants who were not on the payroll of any organization at the time of the study. The questionnaire served as the instrument for data collection, while the results were analysed using descriptive and inferential statistics. The result of the study was effective, because respondents who were exposed to the intervention reported greater interest in painting than those who were not. Also, participants in the treatment group reported greater entrepreneurial skills and behavioural intention towards painting than their counterparts in the control group. We explored the implications of these results on theory and practice and made recommendations for further studies.

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A Practical Model for the Evaluation of High School Student Performance Based on Machine Learning

et al. 2021

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The objective of this research is to develop an machine learning (ML) -based system that evaluates the performance of high school students during the semester and identify the most significant factors affecting student performance. It also specifies how the performance of models is affected when models run on data that only include the most important features. Classifiers employed for the system include random forest (RF), support vector machines (SVM), logistic regression (LR) and artificial neural network (ANN) techniques. Moreover, the Boruta algorithm was used to calculate the importance of features. The dataset includes behavioral information, individual information and the scores of students that were collected from teachers and a one-by-one survey through an online questionnaire. As a result, the effective features of the database were identified, and the least important features were eliminated from the dataset. The ANN accuracy, which was the best accuracy in the original dataset, was reduced in the decreased dataset. On the contrary, SVM performance was improved, which had the highest accuracy among other models, with 0.78. Moreover, the LR and RF models could provide the same performance in the decreased dataset. The results showed that ML models are influential for evaluating students, and stakeholders can use the identified effective factors to improve education.

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Entrepreneurial Interest and Entrepreneurial Competence among Spanish Youth: An Analysis with Artificial Neural Networks

Cited by 6 publications

References 38 publications

How Entrepreneurship Education at Universities Influences Entrepreneurial Intention: Mediating Effect Based on Entrepreneurial Competence

How Entrepreneurship Education at Universities Influences Entrepreneurial Intention: Mediating Effect Based on Entrepreneurial Competence

Modelling the Effectiveness of a Social Media-based Counseling Intervention on Interest, Entrepreneurial Skills, and Behavioural Intention Towards Painting Among Youth Without Paid Jobs in Nigeria

A Practical Model for the Evaluation of High School Student Performance Based on Machine Learning

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