텍스트 마이닝을 활용한 기업의 CSR 키워드 일반화 연구

Abstract

Recently, corporate social responsibility (Corporate Social Responsibility) activities are recognized as investment, not cost, and are emerging as an important issue in the business environment. CSR is computed using the Corporate Social Contribution Index evaluated by the Economic Justice Institute, the ESG grade evaluated by the Korea Governance Agency, and corporate donations. The concept of CSR is multidimensional, and it is necessary to study in detail such as social, environmental, and legal aspects. This study aims to develop keywords that can measure CSR. As of December 2020, a multi-year sustainability report was collected for 100 companies with assets listed and unlisted on the securities market, and the direction and size of corporate social responsibility activities can be measured in unstructured data such as CEO speeches and greetings through finding out the keywords. The measurement tool for CSR is not limited to a specific evaluation frame, and an indicator is developed using the CSR keyword seed development and the correlations between keywords. Compared with the business performance of the company, the importance of corporate social responsibility activities will be recognized, and it can be used as useful data for corporate marketing activities and decision making.