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

Purpose: Entrepreneurial intentions have been a major focus of research that have been studied using generic models. The paper will use Bayesian Networks to model entrepreneurial intentions as it provides an advantage over classical methods. Methodology: A cross-sectional study was conducted among a...

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Bibliographic Details
Published in:World journal of entrepreneurship, management and sustainable development management and sustainable development, 2022, Vol.18 (5), p.675-690
Main Author: Smail, Linda
Format: Article
Language:English
Subjects:
Bayesian analysis
Entrepreneurs
Entrepreneurship
Entrepreneurship education
Self-efficacy
Student attitudes
Student behavior
University students
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Summary:Purpose: Entrepreneurial intentions have been a major focus of research that have been studied using generic models. The paper will use Bayesian Networks to model entrepreneurial intentions as it provides 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. Whereas 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 and see how this can affect their intention in stating a business. Conclusions are stemming 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 contribution of the paper to the research questions.
ISSN:2042-5961
2042-597X
DOI:10.47556/J.WJEMSD.18.5.2022.7