Dataset on the effect of perceived educational support on entrepreneurial intention among Vietnamese students

Antecedents of civil engineering students' entrepreneurial intentions: Dataset article

The Kingdom of Morocco has implemented significant reform projects over the past decade to promote youth entrepreneurship. In light of these efforts, it is essential to examine the antecedents of entrepreneurial intentions among students. To this end, the current data article aims to explore the antecedents of civil engineering students' entrepreneurial intentions. Thus, we collected data from civil engineering students using a self-administered questionnaire through Google Forms. We employed the partial least squares structural equation modeling (SEM) to analyze the collected dataset. The data analysis using SmartPLS software showed that entrepreneurial attitude, entrepreneurial capacity, and subjective norms positively and significantly affect the civil engineering students' entrepreneurial intention. The insights from this study can be used by Moroccan higher education institutions (HEI) managers to identify crucial elements that can improve students' inclination towards entrepreneurship.

Artificial Intelligence Network Embedding, Entrepreneurial Intention, and Behavior Analysis for College Students' Rural Tourism Entrepreneurship

To promote the development of the rural economy and improve entrepreneurship education in colleges and universities, college students’ willingness and behavior toward rural tourism entrepreneurship were investigated in this study. First of all, based on the previous research results, the influencing factor model was determined for college students’ entrepreneurial intention. Second, a questionnaire survey was made to collect data from a university in Xi’an City. Finally, the artificial neural network (ANN), improved by a genetic algorithm (GA) based on an artificial intelligence network, was used to study the relationship between college students’ entrepreneurial intention and behavior, and the simulation was carried out on MATLAB2013b software. The results show that the average evaluation accuracy is 81.13% for 60 groups of data using the unmodified back propagation neural network (BPNN) algorithm, while the average evaluation accuracy is 92.17% for the BPNN algorithm improved and optimized by GA, with an ascent of 11.04%. Therefore, the BPNN algorithm improved and optimized by GA is better than the unmodified BPNN algorithm; It is also feasible and effective in the analysis of influencing factors of college students’ entrepreneurial intention and behavior. The research provides a basis for colleges and universities to carry out entrepreneurship education on a large scale and to cultivate their innovative talents.

Opening the “Black Box” of University Entrepreneurial Intention in the Era of the COVID-19 Pandemic

This research aims to study the determinants of entrepreneurial intention in academia and compare the outcomes from two different moments, before and during the COVID-19 pandemic. For this purpose, a quantitative methodology was used, whereby a questionnaire was given to higher education students in these two chronological moments. From the obtained results, it was possible to ascertain that, given the motivational dimension, the attitude towards behavior and perceived behavioral control are having a positive impact on entrepreneurial intentions during the pandemic and that subjective norms have a negative impact on entrepreneurial intentions. This relationship of influences is unchanged, either before or during the pandemic. Regarding the environmental dimension, both of the variables under analysis are having a negative impact on entrepreneurial intention during the pandemic period, which corresponds to an aggravation or loss of positive influences when compared to the context before the pandemic, and the next assessment had a positive impact on entrepreneurial intentions. On the theoretical contributions, the findings are very important, as they strengthen the literature on entrepreneurial intentions, and in specific contexts of social and economic instability. As for practical contributions, this research suggests actions to agents with an important intervention role in the community, one of these agents is Higher Education Institutions, which play a determining role by creating a positive environment to support their students’ entrepreneurial intent. This research is original, as far as we are informed, and it is the first to study entrepreneurial intention in academia during the COVID-19 pandemic in the Portuguese context. Moreover, we suggest that the obtained results should be succeeded by further studies to confirm the evolutionary trends now identified on the subject under analysis.