Presentation information

General Session

General Session » J-5 Web intelligence

[2E6-GS-5] Web intelligence: Social data analysis (3)

Wed. Jun 10, 2020 5:50 PM - 7:30 PM Room E (jsai2020online-5)


6:50 PM - 7:10 PM

[2E6-GS-5-04] Analysis to understand the impact of corporate performance degradation on business partners

〇Ryoji Sato1, Ichiro Sato1, Masahiko Kaneko1, Takayuki Mizuno2 (1. Property Risk Engineering Department, Tokio Marine & Nichido Risk Consulting Co., Ltd., 2. National Institute of Informatics, School of Advanced Sciences, SOKENDAI (The Graduate University for Advanced Studies))

Keywords:Supply Chain, Business interruption , Risk evaluation, Property insurance

In order to confirm propagation of economic shock through supply chains, we create a regression model that expresses the relationship between supplier's sales growth ratio and that of their customers. From a database having past financial information of listed companies, we get firms' net sales from 2012 to 2016 (approximately 7,500 cases), regardless of they were affected by accidents or disasters. By collating this information with another database having business relationships of firms, we create a data set containing sales growth ratio of suppliers and that of their customers in each fiscal year. Then we estimate customers' sales growth ratio by using a machine learning (LightGBM) with the suppliers' sales growth ratio and someother information. As a result, we have confirmed that we can estimate it with acceptable accuracy by using suppliers' sales growth ratio as one of explanatory variables. In other words, we have shown that firms' sales growth is likely to be affected by the performance of its business partners through supply chains.

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