Impact of Business Analytics to Predict Consumer Adoption of Sustainable Products

Kanishk  Chahal; Dr. Manoj  Agarwal

doi:10.59828/ijhce.v2i5.71

Authors

Kanishk Chahal Research Scholar, Teerthankar Mahaveer Institute of Management and Technology, Teerthankar Mahaveer University, Moradabad, U.P., India Author
Dr. Manoj Agarwal Professor, Teerthankar Mahaveer Institute of Management and Technology, Teerthankar Mahaveer University, Moradabad, U.P., India Author

DOI:

https://doi.org/10.59828/ijhce.v2i5.71

Keywords:

Business Analytics, Consumer Adoption, Sustainable Products, Predictive Modeling, Machine Learning, Consumer Behavior, Eco-friendly Products, Data-driven Decision Making, Sustainability Marketing, Sentiment Analysis

Abstract

The growing awareness of environmental sustainability has prompted businesses to develop eco-friendly products, yet consumer adoption of such products remains inconsistent. This research investigates the role of business analytics in predicting consumer behavior toward sustainable products. By leveraging data-driven techniques such as predictive modeling, machine learning algorithms, and sentiment analysis, the study aims to identify key factors influencing consumer preferences, purchasing decisions, and adoption patterns. The findings highlight how businesses can optimize marketing strategies, personalize product offerings, and enhance decision-making processes to increase the acceptance of sustainable products. Furthermore, the study emphasizes the strategic importance of integrating business analytics into sustainability initiatives, demonstrating that actionable insights derived from consumer data can significantly influence both market success and environmental impact. This research provides a framework for organizations to harness analytics not only as a tool for operational efficiency but also as a catalyst for promoting sustainable consumption.