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The purchase of green products is not the finale of green consumer behaviour but the environmental concern is crucial in post-purchase behaviour. Studies on pro-environmental purchase behaviour are abundant and but studies on environmental concern in use, evaluation and disposal are scarce. This paper aims to examine the pro-environmental factors influencing post-purchase behaviour and their impact on green consumer behaviour.

Data for this study was collected from the respondents with the help of a structured questionnaire. Data is analysed using factor analysis to examine the important factors influencing post-purchase variables and green consumer behaviour and the multiple regression to understand the contribution of post-purchase variables to green consumer behaviour.

Eco-conscious, risk and comfort in user behaviour, satisfaction and eco-appraisal in evaluation behaviour and eco-conscience, disposal challenges and eco-responsible in disposal behaviour are the vital factors. Eco-conscious and comfort in use, satisfaction in evaluation and eco-conscience, disposal challenges and eco-responsible behaviour in disposal are positively related to green consumer behaviour and risk in use and eco-appraisals in the evaluation are insignificant.

Considering the very limited studies on green post-purchase behaviour, this study provides insights into the pro-environmental post-purchase behaviour and its contribution to green consumer behaviour.

The present study has been carried out to assess the effect of constructs of service convenience on customer satisfaction of the Indian online shoppers.

The primary data was collected through a structured questionnaire. Convenience sampling has been used to choose a sample (n = 260) of e-shoppers in India. Factor analyses (both EFA and CFA) have been done to validate different factors and its items. A conceptual model has been proposed to measure the effect of different factors of service convenience on customer satisfaction. Moreover, the perceived difference with respect to study variables has been measured. The path analysis through AMOS 22.0 has been done to test the hypotheses under study.

It can be concluded that the effect of access convenience, search convenience, and order convenience have significant effects on customer satisfaction. However, evaluation convenience and logistics and reverse logistics convenience have an insignificant effect on customer satisfaction. The present study has a unique contribution in the field of service convenience to e-retailing customers. Moreover, the present study indicates that gender does not moderate the effect of convenience on customer satisfaction.

This is one of the few papers that focuses solely on the effect of gender on service convenience and customer satisfaction. The findings will generate value with their originality and significant managerial implications for marketers, as well as future research directions for the researchers.

The goal of this research is to analyse the obstacles to the implementation of mobile health (mHealth) in India and to gain an understanding of the contextual inter-relationships that exist amongst those obstacles.

Potential barriers and their interrelationships in their respective contexts have been uncovered. Using MICMAC analysis, the categorization of these barriers was done based on their degree of reliance and driving power (DP). Furthermore, an interpretive structural modeling (ISM) framework for the barriers to mHealth activities in India has been proposed.

The study explores a total of 15 factors that reduce the efficiency of mHealth adoption in India. The findings of the Matrix Cross-Reference Multiplication Applied to a Classification (MICMAC) investigation show that the economic situation of the government, concerns regarding the safety of intellectual technologies and privacy issues are the primary obstacles because of the significant driving power they have in mHealth applications.

Promoters of mHealth practices may be able to make better plans if they understand the social barriers and how they affect each other; this leads to easier adoption of these practices. The findings of this study might be helpful for governments of developing nations to produce standards relating to the deployment of mHealth; this will increase the efficiency with which it is adopted.

At this time, there is no comprehensive analysis of the factors that influence the adoption of mobile health care with social cognitive theory in developing nations like India. In addition, there is a lack of research in investigating how each of these elements affects the success of mHealth activities and how the others interact with them. Because developed nations learnt the value of mHealth practices during the recent pandemic, this study, by investigating the obstacles to the adoption of mHealth and their inter-relationships, makes an important addition to both theory and practice.