[ 25th March 2022 by allam ahmed 0 Comments ]

Modelling entrepreneurial intentions and attitudes towards business creation among Emirati students using Bayesian Networks, Dr. Linda Smail, Mouawiya Alawad, Wasseem Abaza, Firuz Kamalov and Hamdah Alawadhi

Dr. Linda Smail
Department of Mathematics & Statistics
Zayed University, P.O. Box 19282, Dubai
United Arab Emirates
Email: linda.smail@zu.ac.ae
Mouawiya Alawad
Zayed University, Institute of Social and Economic Research, Dubai
United Arab Emirates
Wasseem Abaza, Hamdah Alawadhi
Zayed University, College of Business, Dubai
United Arab Emirates
Firuz Kamalov
Department of Electrical Engineering
Canadian University Dubai, Dubai
United Arab Emirates

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.
Keywords: Bayesian Network, Entrepreneurship, Intention, Attitudes, Self-Efficacy, Subjective Norms.

 

WJEMSD V18 N5 2022 Smail et al.pdf
WJEMSD V18 N5 2022 Smail et al.pdf
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