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신경망모델(Neural Network Model)을 활용한 CSR활동의 영향력 분석
김주영(Juyoung Kim),유승경(Seunggyeong Yu) 한국경영학회 2020 經營學硏究 Vol.49 No.1
Corporate CSR in corporate management is positioned as an important part as international standard guidelines are published. The International Organization for Standardization (IOS) released ISO 26000, a standard guideline for corporate CSR, with the main themes of human rights, fair business practices, community involvement, and development. This not only shows the importance of internal CSR incorporate CSR but also means that Korean companies need to consider internal CSR in line with global standards. However, most of the CSR activities of existing domestic companies were donated and charitable organizations were established, focusing on external CSR activities such as the development of local communities, and analyzing the relationship between CSR activities and financial results Some research results are also related to external CSR activities. In this study, we investigated the effect of whether or not a companys internal CSR is implemented on corporate performance through an artificial neural network. Based on the business report data of domestic manufacturing companies from 2015 to 2018 and the data of internal CSR activities, an artificial neural network model that predicts the business performance of the next year was implemented. Seven types of models were implemented, and each model independently reflected the characteristics of parameters and adjustment effects. For the comparison of model fits, re-sampling the data like bootstrap and calculating 500 RMSEs per model and running t-test, the adjustment effect model showed the best results. Next, based on the adjustment effect model with the best results, we assumed how the companys business performance would be displayed compared to the existing results, assuming that the company has internal CSR activities. As a result, there were statistically significant differences in stock prices, sales, and operating income.
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