Factors Influencing Career Choice As An Entrepreneur In West Nusa Tenggara: A Quantitative Analysis Using Logistic Regression
Keywords:
Career Choice, Entrepreneurship, Logistic regression
Abstract
This study uses logistic regression analysis to investigate the factors influencing career choice as an entrepreneur in West Nusa Tenggara. Data analysis from the National Labor Force Survey (SAKERNAS) explores key determinants such as gender, age, family status, work hours, training, and dependents. The findings reveal that gender has a negative and significant effect, indicating that males are less likely to become entrepreneurs than females, with a coefficient of -0.3535706. Age, family status, work hours, and the number of dependents all positively and significantly affect choosing a career as an entrepreneur. Specifically, individuals are more likely to become entrepreneurs with each additional year of age (coefficient = 0.0411477). Individuals with family are likely to engage in entrepreneurship, with a coefficient of 1.08056, and those with longer work hours are more likely to become entrepreneurs, with a coefficient of 0.0161729. The training was found to have a negative and significant effect, with a coefficient of -1.015992, indicating that individuals who have training are less likely to engage in entrepreneurial activities. The number of dependents also exhibited a positive impact, with a coefficient of 0.0386476, suggesting individuals with more dependents are more likely to pursue entrepreneurship.
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Acs, Z. J., & Szerb, L. (2007). Entrepreneurship, Economic Growth and Public Policy. Small Business Economics, 28(2–3), 109–122. https://doi.org/10.1007/s11187-006-9012-3
Aldrich, H. E., & Cliff, J. E. (2003a). The pervasive effects of family on entrepreneurship: toward a family embeddedness perspective. Journal of Business Venturing, 18(5), 573–596. https://doi.org/10.1016/S0883-9026(03)00011-9
Aldrich, H. E., & Cliff, J. E. (2003b). The pervasive effects of family on entrepreneurship: toward a family embeddedness perspective. Journal of Business Venturing, 18(5), 573–596. https://doi.org/10.1016/S0883-9026(03)00011-9
Balachandra, L. (2020). How gender biases drive venture capital decision-making: exploring the gender funding gap. Gender in Management: An International Journal, 35(3), 261–273. https://doi.org/10.1108/GM-11-2019-0222
Banwo, A. O., & Du, J. (2019). Workplace pro-environmental behaviours in small and medium-sized enterprises: an employee level analysis. Journal of Global Entrepreneurship Research, 9(1), 34. https://doi.org/10.1186/s40497-019-0156-4
Barrett, A., & McCarthy, Y. (2008). Immigrants and welfare programmes: exploring the interactions between immigrant characteristics, immigrant welfare dependence, and welfare policy. Oxford Review of Economic Policy, 24(3), 542–559. https://doi.org/10.1093/oxrep/grn026
Bimrose, J., & Mulvey, R. (2015). Exploring career decision-making styles across three European countries. British Journal of Guidance & Counselling, 43(3), 337–350. https://doi.org/10.1080/03069885.2015.1017803
Brindley, C. (2005). Barriers to women achieving their entrepreneurial potential. International Journal of Entrepreneurial Behavior & Research, 11(2), 144–161. https://doi.org/10.1108/13552550510590554
da Fonseca, J. G., & Berubé, C. (2023). SPOUSES, CHILDREN, AND ENTREPRENEURSHIP. International Economic Review, 64(3), 1165–1199. https://doi.org/10.1111/iere.12626
Garg, K. (2024). ENTREPRENEURSHIP. In Futuristic Trends in Management Volume 3 Book 8 (pp. 64–68). Iterative International Publisher, Selfypage Developers Pvt Ltd. https://doi.org/10.58532/V3BHMA8P2CH3
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. https://doi.org/10.1111/etap.12056
Kurek, S., & Rachwał, T. (2011). Development of entrepreneurship in ageing populations of The European Union. Procedia - Social and Behavioral Sciences, 19, 397–405. https://doi.org/10.1016/j.sbspro.2011.05.147
Markman, G. D., & Baron, R. A. (2003). Person–entrepreneurship fit: why some people are more successful as entrepreneurs than others. Human Resource Management Review, 13(2), 281–301. https://doi.org/10.1016/S1053-4822(03)00018-4
Martin, B. C., McNally, J. J., & Kay, M. J. (2013). Examining the formation of human capital in entrepreneurship: A meta-analysis of entrepreneurship education outcomes. Journal of Business Venturing, 28(2), 211–224. https://doi.org/10.1016/j.jbusvent.2012.03.002
Martins, I., Perez, J. P., & Novoa, S. (2022). Developing orientation to achieve entrepreneurial intention: A pretest-post-test analysis of entrepreneurship education programs. The International Journal of Management Education, 20(2), 100593. https://doi.org/10.1016/j.ijme.2021.100593
Minniti, M., & Naudé, W. (2010). What Do We Know About The Patterns and Determinants of Female Entrepreneurship Across Countries? The European Journal of Development Research, 22(3), 277–293. https://doi.org/10.1057/ejdr.2010.17
Naudé, W. (2013). Entrepreneurship and Economic Development: Theory, Evidence and Policy. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.2314802
Paliwal, M., Tripathy, S., Chatradhi, N., & Ranga, Y. (2024). Entrepreneurship and Innovation: A Way Towards Sustainable Development and Poverty Alleviation. In Creating Pathways for Prosperity (pp. 15–32). Emerald Publishing Limited. https://doi.org/10.1108/978-1-83549-121-820241003
Pandey, P., Madhusudhan, M., & Singh, B. P. (2023). Quantitative Research Approach and its Applications in Library and Information Science Research. Access: An International Journal of Nepal Library Association, 2(01), 77–90. https://doi.org/10.3126/access.v2i01.58895
Sánchez, J. C., & Hernández-Sánchez, B. R. (2013). Gender, Personal Traits, and Entrepreneurial Intentions. Business and Management Research, 3(1). https://doi.org/10.5430/bmr.v3n1p31
Skran, C. (2020). Refugee entrepreneurship and self-reliance: the UNHCR and sustainability in post-conflict Sierra Leone. Journal of Refugee Studies, 33(1), 268–298. https://doi.org/10.1093/jrs/fez102
Sperandei, S. (2014). Understanding logistic regression analysis. Biochemia Medica, 12–18. https://doi.org/10.11613/BM.2014.003
Stoica, O., Roman, A., & Rusu, V. D. (2020). The Nexus between Entrepreneurship and Economic Growth: A Comparative Analysis on Groups of Countries. Sustainability, 12(3), 1186. https://doi.org/10.3390/su12031186
Szabo, Z. K., & Herman, E. (2012). Innovative Entrepreneurship for Economic Development in EU. Procedia Economics and Finance, 3, 268–275. https://doi.org/10.1016/s2212-5671(12)00151-7
The Multiple Logistic Regression Model (pp. 35–47). (2013). https://doi.org/10.1002/9781118548387.ch2
Thorgren, S., Sirén, C., Nordström, C., & Wincent, J. (2016). Hybrid entrepreneurs’ second-step choice: The nonlinear relationship between age and intention to enter full-time entrepreneurship. Journal of Business Venturing Insights, 5, 14–18. https://doi.org/10.1016/j.jbvi.2015.12.001
Toma, S.-G., Grigore, A.-M., & Marinescu, P. (2014). Economic Development and Entrepreneurship. Procedia Economics and Finance, 8, 436–443. https://doi.org/10.1016/S2212-5671(14)00111-7
Published
2025-03-12
How to Cite
Putri, I. A., Emi Salmah, & Muhammad Dzul Fadlli. (2025). Factors Influencing Career Choice As An Entrepreneur In West Nusa Tenggara: A Quantitative Analysis Using Logistic Regression. International Journal of Economics, Business and Innovation Research, 4(02), 827-840. https://doi.org/10.63922/ijebir.v4i02.1657
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