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Massive Open Online Courses (MOOCs) have widely been acknowledged as a unified platform to reduce the digital divide and make education accessible to all. It also enables students’ access to professors and educational contents sans spatial and institutional barriers. Despite several benefits, MOOCs’ adoption and completion rate remain unimpressive, especially among developing countries. Using Extended Unified Theory of Acceptance and Use of Technology (UTAUT2), we examine the key factors that influence the behavioral intention to use MOOCs among students in an Indian private university. The data from 412 postgraduate students were analyzed using Partial Least Squares-Structured Equation Modelling. The study identifies barriers to use MOOCs, in a university that has offered free MOOCs courses and certifications to the students. The study makes several theoretical contributions and offer adequate insights for higher education institutions to administer and integrate MOOCs in their curriculum.

Entrepreneurship education enhances the entrepreneurial potential of students, leading them to take up an entrepreneurial career. But, in India, a vast majority of youths with latent entrepreneurial potential are passing out of colleges without the needed basic entrepreneurial skills. The inconsistency towards entrepreneurship development policy is hurting the economy as a whole. The study analyses entrepreneurial potential of students and entrepreneurship education in the higher education system. It also examines whether there exists an alignment among them using the data triangulation method. The findings signify that entrepreneurial potential of students is on the upper side, and entrepreneurship education in higher education system is below average. The outcome of this study highlights the increasing need to focus on entrepreneurship education in higher education.

This study examines the influence of higher education institutions’ (HEIs’) ecosystem on entrepreneurship education (EE) and attempts to map the complex relationship between both. It also captures the actual practice of EE in HEIs. A two-stage empirical approach was used in the research design. Drawing upon literature, a conceptual framework was developed to relate HEIs’ ecosystem and EE in the first stage. This framework was tested with the data obtained from 264 academicians. The findings yielded eight factors of HEIs’ ecosystem and six factors of EE. In the second stage, opinion of 15 experts in the area of EE was sought to develop cause–effect relationships between the two constructs. The decision-making trial and evaluation laboratory (DEMATEL) approach was used to examine the cause–effect relationship. Findings indicate that entrepreneurship promotion activity and institutions’ attitude towards entrepreneurship is important causal factors leading to effective EE. The research contributes to literature by fusing two theoretical paradigms. The outcomes of the study have a strong implication for HEIs to build a conducive educational ecosystem for entrepreneurship development.

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