Green marketing (GM) has frequently been seen as a prevalent phenomenon influencing companies' operations and functions. This article analyses GM techniques in India's ready-made apparel (RMA) industry by presenting a trio of viewpoints on the subject. It offers a systematic framework for the factors impacting the use of green marketing techniques. GM practices are evaluated regarding the impact on the environment, society, and the economy. Partial least square-structural equation modelling (PLS-SEM) is used to conduct empirical tests of the framework, focusing on data collected from a survey that evaluates eco-friendly marketing practices. The results show that environmental, social, and economic factors are beneficially interconnected. When assessing GM practice, the PLS-SEM estimation shows that the relationship between economic and environmental sustainability has a significant proportion of values. However, more data on RMA industries' environmental and social effects must be collected. Additionally, according to the results of the PLS-SEM model, there are considerable differences between actual and expected GM adoption developments and perspectives among various industrial firms, particularly for managing waste and pollution of water. Given the nation's rapid socio-economic growth and technical improvement, social-level performance has minimal impact on GM strategy for RMA industries. Moreover, the research makes some recommendations emphasizing the discovered model's component in motivating commercial organizations to get involved in socio-economic activities that promote the environment, changing the focus of prospective GM areas of study.

In India, higher education institutions (HEIs) are realizing the value of green interaction, which includes using social media (S.M.) in an environmentally responsible manner. However, there needs to be more consistency on the adoption's present status, the particular tactics used, and the advantages that follow. The current research investigates the various aspects of sustainable communication and its benefits in HEIs throughout India. Through a questionnaire approach, the research enrolled learners across India. The study model's conceptual structure was validated, and its assumptions were proven through the implementation of a quantitative survey. The number of accepted samples was calculated using a conceptual model, and data analysis was performed using the structural equation model (SEM). There were 500 respondents in the study, ranging in age and academic degree and from different institutions of higher learning. The age range of 280 women and 220 men was 80% between 19 and 28. Respondents employed prominent S.M. sites (Twitter, LinkedIn, and Facebook) with purpose and had robust computer abilities. The results demonstrated that inspiration for employing S.M., S.M. characteristics, and information exchange had a favorable impact on students' opinions of user-friendliness and the benefits of digital learning platforms, raising their adoption of them. The research strategy in this investigation delivers suggestions for additional exploration into how HEIs in India may maximize the advantages and utilization of digital learning systems and can be an efficient structure for similar study ventures.