PREDICTORS OF SOCIAL ENTREPRENEURSHIP INTENTION AMONGST UNDERGRADUATES
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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 & 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>
孟加拉国政府与非政府组织均倡导社会创业（Social Entrepreneurship），将其作为提振国家经济的战略举措（Adnan、Yusoff与Ghazali，2018，第1页）。社会创业可为一国的社会经济发展提供可持续支撑。社会创业者既能为社会创造良好价值，亦可提升个体价值。 鉴于本研究的特性，我们需通过线上方式向调研对象发放问卷：通过创建谷歌表单（Google Form），向参与者设置一系列带有单项选择答案的问题与表述题。受访者需基于5级量表表明其对各表述的同意或反对程度。 研究建议采用Smart PLS软件对样本进行分析、计算研究结果，并检验各变量的信度。本次调研共回收225份样本，其中205份样本的作答完整度达95%及以上，符合分析要求。最终采用描述性统计、相关分析、回归分析等统计学方法对合格样本进行分析。 问卷共分为三个部分：第一部分为引言，简要介绍本研究的研究目的。从表1（人口统计学变量）可知，大部分受访者的年龄处于20~29岁区间，占总样本的88.71%；30~39岁的受访者占比为10.25%，40~49岁的受访者占比仅为1.02%。在性别分布方面，男性受访者占比更高，达66.15%，女性受访者占比为33.15%。在教育水平方面，总计195份有效样本中，本科学历受访者共149人，占比76.41%；硕士学历受访者共46人，占比23.58%。在院校类型方面，公立院校出身的受访者占比为63.58%，私立院校出身的受访者占比为57.25%。 **基于偏最小二乘结构方程模型（PLS-SEM）的模型构建与检验**：在Smart PLS-3中搭建模型时，需首先导入各因子，该软件中将每个因子称为潜变量（Latent Variable）。
