[1F3-GS-10b] AI応用：経営情報

[1F3-GS-10b-02] Estimation of the relationship between corporate philosophy and performance factors in companies

〇Kei Sato¹, Hiroyuki Sakai¹, Kaito Takano¹, Daisuke Inoue², Kana Fujino² (1. Seikei university, 2. Dentsu Public Relations Inc.)

Keywords:corporate philosophy, performance factors, information extraction, text mining

This paper proposes a method for estimating relationship between corporate philosophy and performance factors in companies extracted from securities reports. The corporate philosophy is a verbalization of the characteristics of the fundamental way of thinking and ideals such as the company's thought, mission, and aspirations. And, performance factors in companies is a sentence that describes the factors that led to the performance, such as "the sales of *** was good". Our method extracts sentences containing corporate philosophy and performance factors in companies from the securities report by using deep learning. Then, the extracted corporate philosophy sentences and performance factor sentences are expressed in a distributed expression for each sentence by using Word2Vec. Our method calculates the degree of similarity between corporate philosophy sentences and performance factor sentences, and that is used as the relevance. As a result of the evaluation, our method for extracting corporate philosophy attains 77% accuracy, and the relationship between corporate philosophy and performance factors in companies was estimated with relatively good accuracy.