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Purpose: Green consumerism is on the rise in the 21st century, impelling businesses to prioritise environmental awareness and expand eco-products to keep up with the growing demand. This research examines how social media (SM) and moral obligations (MO) affect consumer views and their propensity to make eco-friendly choices.

Methodology: Data were gathered from 508 participants using an adaptive questionnaire. The proposed model was tested using ‘structural equation modelling’.

Findings: The results show that electronic word-of-mouth (EWOM) and the intent to acquire green goods favourably impact consumer behaviour. MO positively influences attitudes and intentions to make green purchases (GPI), with attitudes acting as a mediator between MO and GPI.

Implications: This research is of utmost importance for marketers wanting to enhance their SM communication strategies to influence consumers’ opinions of green products and raise the possibility that they would make environmentally conscious purchases.

Introduction: Globalization and customer expectations have made managing the supply chain challenging. Blockchain technology has enhanced visibility, accountability, and safety in supply Chain management (SCM), which helps overcome various issues. The research aims to provide insight into Blockchain technology for improving supply chains toward sustainability in the retail sector. This study describes how clients and merchants in various retail business activities may significantly utilize Blockchain technology. From manufacturer to consumer, blockchain can track materials. It ensures product authenticity, transparency, and retail supply chain trust. Retail items are tracked before they reach customers to assess quality and discard expired items, building client confidence. Retail personnel’ SC (Supply Chain) blockchain adoption aspirations are examined in this study.

Methodology: This study validates SCM blockchain adoption using an adjusted UTUAT (Unified Theory of Acceptance and Use of Technology) model. This study examines how blockchain adoption improves employee performance using the UTUAT Model. Data was evaluated using exploratory factor and structural equation modeling.

Result: Behavioural intention was significantly associated with BCT (Block Chain Technology) in retail SCM.

Practical Implications: The following factors influence the behavioral intent to utilize the technology: performance expectations, affect expectations, subjective standards, and favorable conditions, which have a significant impact on adoption.

Conclusion: Performance and effort assumptions affect SCM blockchain adoption behavior.