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Due to COVID-19 pandemic, the government around the world has closed all the educational institutions to control the spread of disease, which is creating a direct impact on students, educators and institutions. The sudden shift from the physical classroom to virtual space is creating a disruption among students. The purpose of this study was to analyze the perception of academic stress experienced by students during current online education and coping strategies using emotional intelligence adopted by them.

Using a purposive sampling method, data were collected on a sample of 94 students pursuing undergraduation and postgraduation from two Indian cities, Ahmedabad, and Mumbai. The survey was conducted using two online questionnaires, Perceptions of Academic Stress Scale and Emotional Intelligence Scale and analyzed using descriptive statistics with chi-square analysis. A telephonic discussion was also conducted with some respondents to understand different coping strategies used by them to handle the stress.

The findings indicated significant differences were observed between the fear of academic failure and online and home environment among male and female students. Many of them have started diverting themselves to various creative activities and taking up courses that are helping them to learn new technical skills. By using emotional intelligence and distancing from boredom and depressive thoughts, students were trying to cope with negative effects arising from the current pandemic situation.

This research study will be beneficial to educators, scholars, students, parents and will add a contribution to its field. However, the key factors studied were limited to a small sample from selected institutions and cities, which cannot be used to generalize to a large population.

The findings of this paper will be useful to assess the key challenges of online education especially at the time when it is the only option.

The findings of this paper will be beneficial to understand the academic stress experienced by students and how a cultural and educational modification will be implemented.

This research study was conducted during the lockdown in India (April–May 2020), and the results derived through it are original in nature.

This study aims to identify and explore the factors affecting social entrepreneurial intentions considering an educational institution in Portugal. It also intends to determine the relevance of moderating factors in the antecedents and entrepreneurial intention of these students.

A panel of 177 undergraduate students enrolled in a social entrepreneurship course between the academic years 2018 and 2021 is considered. The data is explored quantitatively considering descriptive analysis techniques, correlational analysis and hypothesis testing.

The findings reveal that entrepreneurial intention depends on multiple individual, organizational and contextual dimensions. Students' entrepreneurial intention remains unchanged regardless of the student’s profile. However, students' professional experience is a more relevant factor for the identification of organizational dimensions related to curriculum and critical pedagogy, while previous involvement in volunteer activities contributes to a higher prevalence of individual factors.

To the best of the authors’ knowledge, this study is original in exploring the role of entrepreneurial intention and its antecedents considering a heterogeneous students' profile. It offers theoretical and practical contributions by extending the literature on social entrepreneurial intention that can be used by higher education institutions to offer specific training more focused on the student's profile.

The purpose of this paper is to investigate the interactions among the key factors of supply chain (SC) in the Indian automotive industry. These key factors are helpful to measure supply chain performance (SCP) and to improve the firm’s effectiveness.

In this paper, an interpretive structural modeling with a fuzzy cross-impact matrix multiplication applied to classification-based approach is used to examine the interactions among the key factors of SCP measurement.

The authors have identified the most dominant key factors used for measuring the performance in automotive SC. The results exhibit that the order lead-time and order entry method are the most significant key factors. These key factors have high driving power to measure SCP whereas the post-transaction measure of customer service and customer query time are highly dependent on other factors. Such relationships among the key factors can help a firm’s top management to make essential judgments in order to solve the overall SC problems and provide a better approach to proactively deal with problems.

In this paper, the authors have explored the interactions among the key factors of the SCP in the Indian automotive industry.