Academy of Entrepreneurship Journal (Print ISSN: 1087-9595; Online ISSN: 1528-2686)


Numerical Modeling of Social Entrepreneurship Thrive in Malaysia

Author(s): Norlinda Mohd Rozar,Muhammad Ashlyzan Razik,Mohamad Hazeem Sidik,Mohd Nazri Zakaria

The aim of this research is to establish mathematical models using multiple linear regression (MLR) technique to determine (1) challenges faced frequently by social entrepreneurs, and (2) priorities of social enterprise. Methods: In this research, the secondary data were taken from the bulletin of State of Social Enterprise in Malaysia 20142015. In this research, stepwise method is used where several significant models will be developed. Results: The results show that there are two models developed where the independent variables explain 100% of the dependent variables (R-square=1.00, pval=<0.05). Conclusion: As a conclusion, these results verify that fs/QCA could assist researchers in finding out the contributing factors of the dependent variables, determine whether or not there are necessary conditions or sufficiency conditions and have a more objective analysis tool to interpret the causal correlation of small samples. There are innovatively adopted in their approaches for the future capability improvements for reduce inequalities its might even provide a business model for rebalancing the control of money and power in their business operations in line creating beneficial impact to society and the environment.