JSAI2019

Presentation information

General Session

General Session » [GS] J-13 AI application

[3A3-J-13] AI application: enterprize and management

Thu. Jun 6, 2019 1:50 PM - 3:10 PM Room A (2F Main hall A)

Chair:Kazutoshi Sasahara Reviewer:Hiroto Yoneno

2:30 PM - 2:50 PM

[3A3-J-13-03] Relationships between mission statements and protability in scal year 2016 (Preliminary Result)

-Analysis for manufacturing companies listed on Tokyo Stock Exchange 2nd Section-

〇Ryozo Kitajima1, Ryotaro Kamimura2, Hiroyuki Sakai1, Kei Nakagawa3 (1. Seikei University, 2. IT Education Center, Tokai University, 3. Nomura Asset Management Co., Ltd.)

Keywords:mission statement, return on asset, annual securities report, potential learning

In this paper, we try to analyze relationships between mission statements and protability. The mission statements are very important messages for companies, because they include founders' spirits, the business policies and so on. Therefore, we consider that mission statements affect protability. Mission statements and protability (The Return On Asset (ROA) was used) were gathered from annual securities reports because descriptions are accurate and reports are easy to obtain. As mission statements were written in natural language and data to be analyzed becomes complicated, a neural computational method called `potential learning' which can interpret internal representations was used. As a result, we found that a generalization performance of the model was 0.6125 (accuracy) and mission statements composed of multiple messages may affect ROA.