Modelling Entrepreneurial Intentions and Attitudes towards Business Creation among Emirati Students Using Bayesian Networks
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Date
2022
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Publisher
World Association for Sustainable Development
Abstract
PURPOSE: Entrepreneurial intentions (EI) have been a major focus of research studied using generic models. This paper will use Bayesian Networks (BN) to model entrepreneurial intentions as they provide an advantage over classical methods. METHODOLOGY: A cross-sectional study was conducted among a random sample of 324 Emirati University students by implementing the Unsupervised Structural Learning algorithm to build the model. FINDINGS: Entrepreneurial intentions are highly affected by attitude, self-efficacy, subjective norms, and opportunity feasibility, while obstacles and university opportunity feasibility are the variables whose influence on entrepreneurial intention is less. ORIGINALITY: This study looked at entrepreneurship intention and attitudes among students who are not yet entrepreneurs using Bayesian Networks as a new technique to discover how this can affect students’ intention in starting a business. Conclusions stem from the existing Emirati social construct (people-centric society of the Arab world, rather than system-centric society of the Western world). This has created value-added contributions of the paper to the research questions. © 2022 by all the authors of the article above.
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Keywords
Attitudes, Bayesian Network, Entrepreneurship, Intention, Self-Efficacy, Subjective Norms
Citation
Smail, L., Alawad, M., Abaza, W., Kamalov, F., & Alawadhi, H. (2022). Modelling entrepreneurial intentions and attitudes towards business creation among emirati students using bayesian networks. World Journal of Entrepreneurship, Management and Sustainable Development, 18(5), 675-689. https://doi.org/10.47556/J.WJEMSD.18.5.2022.7