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The purpose of this study is to examine the specific social media behaviours (SMB) that lead to major depressive disorder (MDD). The study also looks at the moderation effect of pandemic on social media usage among users.

Using a descriptive approach, the required data was collected from a sample of 629 social media users chosen through random sampling technique. An adopted structured online questionnaire was used to collect the data. The data collected was analysed by using univariate and multinomial regression techniques.

The findings of the study revealed that social media intensity, social media addiction (SMA), social media participation, social interaction and SMB had a positive impact on MDD, whereas social comparison had a negative impact. The pandemic situation has also been found to moderate the effect of social media usage on MDD.

This study will be supportive in disclosing behaviours and activities of students that impact their mental health adversely. This will also be helpful in dealing with specific stressors in the programs designed to cope with the depression. By adopting effective strategies to manage social media usage, the study would help to reduce the level of depressive symptoms among college students, significantly promoting healthy environments for students and, thus, contribute to social change.

Since the social media has both favourable and detrimental effects, the key for the users is to develop an awareness about the wise usage and to determine the alterations in the usage patterns that can help to reduce the behaviours associated with negative emotions and psychological distress.

The purpose of this paper is two-fold: to examine the relationship between social support and social entrepreneurial intentions and to test the moderating roles of entrepreneurial education and physical proximity to the office of the US Small Business Administration.

The study adopts a quantitative methodological approach. The hypotheses are tested on a sample of 1,245 respondents who intend to start a business in the state of Florida. Factor analysis and multiple regression analysis were used to identify the relationship between social support and social entrepreneurial intentions.

The hypotheses are supported by the results. The study found a positive and significant relation between social support and social entrepreneurial intentions. It also establishes the moderating effects of entrepreneurial education and proximity to office of the US Small Business Administration on the relationship between social support and social entrepreneurial intentions, i.e. our results show not only that higher levels of social support are associated with higher entrepreneurial intentions but that this association becomes stronger with entrepreneurial education and proximity to the office of the US Small Business Administration.

This is the first empirical study that highlights the role of entrepreneurial education and physical proximity to the US Small Business Administration in moderating the relations between social support and social entrepreneurial intentions. The study contributes to the understanding of factors that influence social entrepreneurial intentions.

Risk assessment is imperative for disaster risk reduction. The risk is rooted to various physical, social, economic, demographic and environmental factors that determine the probable magnitude of loss during an extreme event. By way of bringing a conceptual model into practice, this paper aims to examine the flood risk of the Srinagar city.

The “risk triangle” model has been adopted in the present investigation evaluating parameters, reflective of hazard (intensity), exposure (spatial) and vulnerability (sensitivity) using Landsat-8 operational land imager scene (10 September 2014), global positioning system, Cartosat-1 digital elevation model and socioeconomic and demographic data (Census of India, 2011). The authors characterise flood hazard intensity on the basis of variability in water depth during a recent event (September 2014 Kashmir flood); spatial exposure as a function of terrain elevation; and socioeconomic structure and demographic composition of each municipal ward of the city as a determinant factor of the vulnerability. Statistical evaluation and geographic information system-based systematic integration of all the multi-resolution data layers helped to develop composite flood risk score of each ward of the city.

Principal deliverable of this study is flood risk map of the Srinagar city. The results reveal that approximately 46 per cent of the city comprising 33 municipal wards is at high risk, while rest of the area, i.e. 17 and 37 per cent, exhibit moderate and low levels of risk, constituting 23 and 12 municipal wards, respectively. It is very likely that the municipal wards expressing high risk may witness comparatively more damage (impact) during any future flood event. Thus, there is a need of planned interventions (structural and non-structural) to minimise the emergent risk.

Very rare attempts have been made to bring theoretical models of disaster research in practice; this is mainly because of the complexities associated with the data (selection, availability and subjectivity), methodology (integration, quantification) and resolution (spatial scales). In this direction, this work is expected to have considerable impact, as it provides a clear foundation to overcome such issues for the studies aiming at disaster risk assessment. Furthermore, using varied primary and secondary data, this paper demonstrates the relative (municipal wards) flood risk status of the Srinagar city, which is one of the key aspects for flood hazard mitigation.