Modelling Entrepreneurial Intentions and Attitudes towards Business Creation among Emirati Students Using Bayesian Networks

Journal Title
Journal ISSN
Volume Title
World Association for Sustainable Development
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.
This work is licensed under Creative Commons License and full text is openly accessible in CUD Digital Repository. The version of the scholarly record of this work is published in World Journal of Entrepreneurship, Management and Sustainable Development (2022), available online at:
Attitudes, Bayesian Network, Entrepreneurship, Intention, Self-Efficacy, Subjective Norms
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.