Identifying trending factors that influence eco-friendly products adoption by a text mining approach

IJEP 42(8): 942-949 : Vol. 42 Issue. 8 (August 2022)

Phan-Anh-Huy Nguyen*

Ho Chi Minh City University of Technology and Education, Faculty of Economics, Vietnam


The purpose of this paper is to identify environmental protection activities of organizations by scraping data from related news that reports about eco-friendly products for sustainability. A new dataset has been created by web crawling technique. Then, we used text mining techniques to extract the most critical influence factors discussed in the dataset. The findings revealed that there are six main influencing factors: lower fuel consumption, educational institutions, electronic vehicles, differentiation strategy, agriculture and reducing plastic products. The sample was restricted to data collection from english news only during 2019 and 2020, limiting the generalization of the findings. Practical implications of this study show that a set of solutions are proposed in the hope that they can address current concerns and boundaries, together with promoting high quality contribution of ideas and solutions to support environmental protection activities. This is the first study that reveals the main factors influencing eco-friendly products which can help the policymakers to make better decisions. Focused on text mining for green products adoption, this study is unique and valuable.


Eco-friendly trends, Green products, Text analytics, Environment protection, Web content mining, Topic modelling


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