Working on entrepreneurship bears special significance for country like Bangladesh where density of population is very high. It is really a great challenge for the country to accommodate such a large population. Developing the determinants on entrepreneurial intention can take the country a step ahead for the improvement of entrepreneurial culture. Nurturing such culture will flourish entrepreneurship development which can create scope for accommodating substantial number of people. In this backdrop, this study has tested a causal model in context of business students of Bangladesh to identify what determines their intentions to be an entrepreneur. For this purpose data were collected from the business students studying at Bachelor and Master Level in public and private universities. From the previous literature, variables like risk taking, locus of control, need for achievement, autonomy, challenges, security of job, environment for staring business and entrepreneurial education offered by Universities have been tested using multiple regression model. The model results show tendency of taking risk, need for achievement, education and environment for starting business, job security are statistically significant in determining the intention of students where except job security, variables are found positively related.

Small and Medium Enterprises (SMEs) occupy dominant positions in economy. SMEs bear special significance for counties where density of population is very high because it offers huge employment opportunities and income generations at low cost. Considering the importance this study has strived to identify those factors contribute the success of SMEs using causal model. Data were collected from SMEs owners of the Khulna city, divisional city of Bangladesh. A total 195 respondents were finally interviewed for the study. Several factors were selected typically affect the success of SMEs from pervious literature. Important factors were identified first using rotated components matrix later regression statistics was applied to find out which are statistically significant. Business plan, channel of distribution, management skills and government support are identified statistically significant in determining success of SMEs in Khulna City.

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