토픽모델링을 활용한 CSR 키워드 트렌드 분석

Abstract

As the interest in ESG has been rising due to the COVID-19, social requests on Corporate Social Responsibility(CSR) grow rapidly. In this study, sustainability report - a non-financial report of the corporation including eco-friendly social activities - was used to analyze the CSR with the unstructured dataset. In order to utilize the unstructured dataset, this research analyzed the CEO’s greetings in sustainability report and CSR issue keywords in 2013, 2016, and 2019 through text-mining and topic modeling, separately. CSR issue keywords in 2013 were share, principle, production, satisfaction, and nation. Keywords in 2016 were opportunity, humanity, ethical management, excellence, and warmth. Keywords in 2019 were digital, sustainability, partner, electricity, and hydrogen. These results indicate that the concept of CSR has been expanded. CSR includes not only the concept of responsibility for social contribution, but also the environment, climate change, ownership structure, and win-win cooperation. Thus, due to the expansion of social responsibility, the importance of sustainability report will gradually increase when the corporation resolves the social problem. This study is expected to be used as basic data related to CSR.