PREDICTORS OF SOCIAL ENTREPRENEURSHIP INTENTION AMONGST UNDERGRADUATES

Social entrepreneurship has been advocated by both government and non-government groups in Bangladesh as a strategy to boost the country's economy (Adnan, Yusoff &amp; Ghazali, 2018, p. 1). Social entrepreneurship in a country provides sustainability in socio-economic development. Social entrepreneurs create a good value in our society and also they increase the private value. Due to the nature of the research, we were required to administer the survey to participants online; we did so by creating a Google form and posing a series of questions and/or statements with multiple-choice answers to the participants. Respondents were given a 5-point scale on which to indicate how much they agreed or disagreed with the statement. It was suggested that we use Smart PLS software to run the samples, compute the findings, and establish the dependability of each variable. From a total of 225 samples, 95% or more of the responses were considered satisfactory for 205 of them. These samples were analyzed using statistical approaches including descriptive statistics, intercorrelation analysis, regression analysis, and similar techniques. The questionnaire was divided into three sections where first section is the introduction, brief description about the purpose of research. From Table-1 (Demographic Variable) it can be seen that most of the respondents are between 20 to 29 years old in terms of age and it is (88.71%) comparing to the total number of people. Graduate between thirty to thirty nine age are (10.25%) and graduates between forty to forty nine age are only (1.02%). In terms of gender male have more respond to social entrepreneurship and the percentage is (66.15%) where female is lower (33.15%). In term of education level or qualification bachelor’s frequency is 149 (76.41%) out of total 195. Respondents from master’s level have 46 (23.58%) out of 195. The respondents from public university are more (63.58%) and from private (57.25%). <strong>Model construction and test using PLS-SEM</strong> To draw the model in Smart PLS-3 factors were uploaded initially. Every factor is called latent variable in this software. <br>