The determinants of self-employment intention among public university students in Malacca to increase graduate employment

Lau, Kelson (2024) The determinants of self-employment intention among public university students in Malacca to increase graduate employment. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

In recent times, despite a decrease in joblessness, Malaysian graduates have struggled to find full-time work due to increased competition from retrenched workers and a saturated labour market, leading to a focus on promoting self-employment as a means to address youth unemployment and foster economic growth through entrepreneurship education and initiatives. In this study, the researcher aimed to investigate the determinants of self-employment intention among public university students in Malacca, identifying attitude towards behaviour, perceived behavioural control, and entrepreneurial education as the determinants. A cross-sectional and explanatory research design was employed, utilising a quantitative method. Primary data was collected through a survey distributed to public university students, with a sample size of 377 respondents selected through probability sampling. Pilot tests and reliability analysis were conducted to ensure data consistency, and the obtained results were analysed using the Statistical Package for Social Sciences (SPSS), employing descriptive statistics, Pearson’s correlation coefficient, and multiple regression analysis to test the researcher’s hypotheses. The result reveals that attitude towards self-employment and perceived behavioural control play a crucial role in impacting self-employment intention among public university students in Malacca, while entrepreneurial education does not seem to have a positive relationship with self-employment intention. Notably, attitude towards self-employment emerges as the most influential in shaping self-employment intention. Subsequent studies could employ the suggested conceptual framework for investigation or incorporate additional variables for a more comprehensive analysis.

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