The present study attempts to identify the predictive power of technopreneurial-related activities (TRAs), technopreneurial self-efficacy (TSE) and technopreneurial motivation (TM) on technopreneurial intention (TE) among the nonbusiness students.
A conceptual framework is developed for investigation. A quantitative approach is adopted for this research, and the data are collected from the 282 students of the different public sector universities with a survey questionnaire. The application of structural equation modeling (SEM) is applied to investigate the impact of TRAs, TSE and TM on TE.
The results of SEM found a positive and significant impact of TRAs, TSE and TM on TE among the nonbusiness students of Pakistan.
The study would be beneficial for the planners and policymakers of universities to improve modes of technopreneurship. The findings may encourage the students to develop strong beliefs, abilities and skills to start a new venture. The literature of entrepreneurship and technopreneurship may further enrich with empirical evidence of the present study.
The study would make technopreneurs able to deal with society's challenges.
