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Issue title: Special Section: Computational Human Performance Modelling for Human-in-the-Loop Machine Systems
Guest editors: Hoshang Kolivand, Valentina E. Balas, Anand Paul and Varatharajan Ramachandran
Article type: Research Article
Authors: Khalid, Nadeem; *
Affiliations: KIMEP University, Almaty, Kazakhstan
Correspondence: [*] Corresponding author. Nadeem Khalid, KIMEP University, Almaty, Kazakhstan. E-mail: nadeem.k@kimep.kz.
Abstract: Artificial intelligence learning at higher educational institutions is one of the emerging concepts having vital importance to promote entrepreneurship activities among the university students. However, Malaysian Universities are lacking with the artificial intelligence learning activities. The objective of the study is to examine the role of artificial intelligence learning to promote entrepreneurship performance with the help of entrepreneurial orientation and strategic entrepreneurship. Moreover, the moderating role of government funding and attitude towards entrepreneurship is also examined. To achieve the objective of this study, a survey was carried out among the Malaysian universities. 500 questionnaires were distributed among the universities and data were collected from the teaching staff. After collection of data, it was analysed with the help of Partial Least Square (PLS)-Structural Equation Modeling (SEM). It is concluded that artificial intelligence learning is most significant to promote entrepreneurial performance among university students. Entrepreneurial orientation and strategic entrepreneurship play a key role to transfer the positive effect of artificial intelligence learning on entrepreneurial performance. Additionally, government funding and attitude towards entrepreneurship also has significant role.
Keywords: Artificial intelligence learning, higher educational institutions, strategic entrepreneurship, government funding, entrepreneurial orientation, performance, entrepreneurial attitude
DOI: 10.3233/JIFS-189026
Journal: Journal of Intelligent & Fuzzy Systems, vol. 39, no. 4, pp. 5417-5435, 2020
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