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Entrepreneurial Behaviour and Intentions among Malaysian Muamalat Students

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Entrepreneurship may generate economic growth and prosperity. Developing nations such as Malaysia encourage young people to engage in business and regard it as a career option. It is widely accepted that undergraduates will be a significant source of new entrepreneurial activity. This study aims to gain insight into the behaviour of Islamic Finance (Muamalat) graduates in Malaysia regarding establishing their own businesses. Specifically, this study investigates the factor of Attitude, Entrepreneurial knowledge, Perceived self-efficacy, and Subjective norm in predicting Entrepreneurial intention. One hundred fifty-three (153) undergraduates from a university participated in the research. They are from the Universiti Teknologi Mara (UiTM) Malaysia. The participants were selected using a purposeful sampling strategy since they were specified groups of undergraduates who enrolled in the Islamic Finance (Muamalat) program. In order to obtain statistically meaningful findings, the research uses a non-parametric quantitative technique in conjunction with a PLS-SEM method. This approach has been applied in verifying the constructed theoretical framework, with the goal of identifying significant elements and effects. The finding demonstrated that Attitude, Entrepreneurial knowledge, and Perceived self-efficacy significantly positively affect entrepreneurial intentions. Future research in this area could consider risk-taking propensity and digital competence as factors to assess graduates' intentions to become entrepreneurs.
Ajzen, I. (1991). The theory of planned behavior. Organizational behavior and human decision processes, 50(2), 179-211.
Anderson, J. C., & Gerbing, D. W. (1988). Structural equation modeling in practice: A review and recommended two-step approach. Psychological Bulletin, 103(3), 411–423. https://doi.org/10.1037/0033-2909.103.3.411
Bandura, A. (1986). Social foundations of thought and action: A social cognitive theory. Prentice-Hall.
Baum, J. R., Locke, E. A., & Smith, K. G. (2001). A multidimensional model of venture growth. Academy of Management Journal, 44(2), 292-303.
Chen, C. C., Greene, P. G., & Crick, A. (1998). Does entrepreneurial self-efficacy distinguish entrepreneurs from managers? Journal of Business Venturing, 13(4), 295-316.
Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate data analysis: A global perspective (7th ed.). Prentice-Hall.
Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2017). A primer on partial least squares structural equation modeling (PLS-SEM) (2nd ed.). Sage.
Henseler, J., Ringle, C. M., & Sarstedt, M. (2016). Testing measurement invariance of composites using partial least squares. International Marketing Review, 33(3), 405–431. https://doi.org/10.1108/IMR-09-2014-0304
Henseler, J., Ringle, C. M., & Sinkovics, R. R. (2009). The use of partial least squares path modeling in international marketing. Advances in International Marketing, 20, 277–319. https://doi.org/10.1108/S1474-7979%282009%290000020013
Kautonen, T., van Gelderen, M., & Fink, M. (2015). Robustness of the theory of planned behavior in predicting entrepreneurial intentions and actions. Entrepreneurship Theory and Practice, 39(3), 655-674.
Kolvereid, L., & Isaksen, E. (2006). New business start-up and subsequent entry into self-employment. Journal of Business Venturing, 21(6), 866-885. doi: 10.1016/j.jbusvent.2005.06.002
Krueger, N. F., & Brazeal, D. V. (1994). Entrepreneurial potential and potential entrepreneurs. Entrepreneurship Theory and Practice, 18(3), 91-104.
Krueger, N. F., Reilly, M. D., & Carsrud, A. L. (2000). Competing models of entrepreneurial intentions. Journal of Business Venturing, 15(5-6), 411-432. doi: 10.1016/S0883-9026(98)00033-0
Linan, F., & Chen, Y. W. (2009). Development and cross-cultural application of a specific instrument to measure entrepreneurial intentions. Entrepreneurship Theory and Practice, 33(3), 593-617.
Rigdon, E. E. (2012). Rethinking partial least squares path modeling: In praise of simple methods. Long Range Planning, 45(5–6), 341–358.
https://doi.org/10.1016/j.lrp.2012.09.010
Shmueli, G., & Koppius, O. R. (2011). Predictive analytics in information systems research. MIS Quarterly, 35(3), 553–572. https://doi.org/10.2307/23044017
Thompson, E. R. (2009). Individual entrepreneurial intent: Construct clarification and development of an internationally reliable metric. Entrepreneurship Theory and Practice, 33(3), 669-694.
Peterson, R. A., and Kim, Y. (2013), “On the relationship between coefficient alpha and composite reliability”, Journal of Applied Psychology, Vol. 98 No. 1, p. 194.
Ab Hamid, M. R., Sami, W., & Sidek, M. M. (2017). Discriminant validity assessment: Use of Fornell & Larcker criterion versus HTMT criterion. In Journal of Physics: Conference Series (Vol. 890, No. 1, p. 012163). IOP Publishing.
Ramayah, T. J. F. H., Cheah, J., Chuah, F., Ting, H., & Memon, M. A. (2018). Partial least squares structural equation modeling (PLS-SEM) using smartPLS 3.0. An updated guide and practical guide to statistical analysis.
Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the academy of marketing science, 43, 115-135.
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of marketing research, 18(1), 39-50.
Shmueli, G., & Koppius, O. R. (2011). Predictive analytics in information systems research. MIS quarterly, 553-572.
Bagozzi, R. P., & Yi, Y. (1988). On the evaluation of structural equation models. Journal of the academy of marketing science, 16, 74-94.
Creswell, J. W., & Poth, C. N. (2018). Qualitative inquiry & research design: Choosing among five approaches (4th ed.). Los Angeles, CA: Sage Publications.
Shapero, A., & Sokol, L. (1982). The social dimensions of entrepreneurship. University of Illinois at Urbana-Champaign's Academy for Entrepreneurial Leadership Historical Research Reference in Entrepreneurship.
Bosma, N., & Schutjens, V. (2011). Understanding regional variation in entrepreneurial activity and entrepreneurial attitude in Europe. The Annals of regional science, 47, 711-742.
Bandura A. (1997). Self-efficacy: The exercise of control. New York: Freeman.
Fayolle, A., & Gailly, B. (2008). From craft to science: Teaching models and learning processes in entrepreneurship education. Journal of European industrial training.
Shinnar, R. S., Giacomin, O., & Janssen, F. (2012). Entrepreneurial perceptions and intentions: The role of gender and culture. Entrepreneurship Theory and practice, 36(3), 465-493.
Barraket, J., & Furneaux, C. (2012). Social innovation and social enterprise: Evidence from Australia. Challenge social innovation: Potentials for business, social entrepreneurship, welfare and civil society, 215-237.
Van Praag, C. M., & Versloot, P. H. (2007). What is the value of entrepreneurship? A review of recent research. Small business economics, 29(4), 351-382.
Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011). PLS-SEM: Indeed a silver bullet. Journal of Marketing theory and Practice, 19(2), 139-152.
Muegge, S. M., & Mezen, M. (2017). Business ecosystems and new venture business models: An exploratory study of participation in the Lead To Win job-creation engine. International Journal of Technology Management, 75(1–4), 157–192. https://doi.org/10.1504/IJTM.2017.085700.
Ringle, C. M., Sarstedt, M., & Straub, D. W. (2012). Editor's comments: a critical look at the use of PLS-SEM in" MIS Quarterly". MIS quarterly, iii-xiv.
Hair, J. F., Ringle, C. M., & Sarstedt, M. (2012). Partial least squares: the better approach to structural equation modeling?. Long range planning, 45(5-6), 312-319.
Hair Jr, J. F., Sarstedt, M., Ringle, C. M., & Gudergan, S. P. (2017). Advanced issues in partial least squares structural equation modeling. saGe publications.