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PurposeStart-up intention among university students is related to the image of entrepreneurship as a career alternative. University is critical in developing the levels of motivation and capabilities of graduates to effectively engage in entrepreneurial activity. The purpose of this paper is to propose an entrepreneurial intention model focussing on higher education and the implementation of the model as a practical digital application which can be used in universities to improve the entrepreneurial intention of students enrolled in different courses.Design/methodology/approachThis paper first discusses the importance of entrepreneurial intention in graduate entrepreneurship. Then, it proposes an entrepreneurial intention model based on the four propositions identified from the literature. Finally, the model is implemented as a practical digital application focussing on self-skill awareness, entrepreneurial resources and entrepreneurial support network. A survey is conducted with students to evaluate the model and the application.FindingsEntrepreneurial awareness found to have a positive effect of entrepreneurial intention. Besides the conceptual model, this study has developed a digital application to enhance entrepreneurial intention of students focussing on information technology discipline. The application is evaluated through an online survey and the results show that the application can significantly improve entrepreneurial intention.Originality/valueThe proposed entrepreneurial intention model and the digital application offer guidance to universities as to how online systems can be used to create an environment that fosters individual intentions to select entrepreneurship as a career option, even for students doing non-entrepreneurial courses.

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Understanding uncertainties and assessing the risks surrounding business opportunities is essential to support the success of sustainable entrepreneurial initiatives launched on a daily basis. The contribution of this study is the identification of uncertainties surrounding opportunities in the opportunity evaluation stage of the entrepreneurial process and the examination of how the analysis and evaluation of uncertainty factors, with the help of data, can predict the future success of an organization. In the first phase, the uncertainty factors are classified based on their sources and we discuss the likely implications towards new venture success with the help of existing literatures. In the second phase, a success prediction model is implemented using machine learning techniques and strategic analysis. The model is trained in such a way that, when new data emerges, the qualitative data is transformed into quantitative data and the probability of success or failure is calculated as the result output in the pre-start-up phase. The method and findings would be relevant for nascent entrepreneurs and researchers focusing on sustainable technology entrepreneurship.