In recent years, the labor share has been declining in Japan, causing a hollowing out of the realeconomy. The purpose of this study is to clarify the relationship between labor shares and payout ratios. Weplan to examine whether the relationship between the labor share and payout ratio can be demonstrated byusing nonlinear analysis such as machine learning methods.

At present,a compliance problem tends to be a company crisis, and the unrecognized fraud tends to result inhuge losses. On the other hand, it is difficult for large companies to detect frauds on the contracts because they arecontracted by various person and in various place. Therefore companies need early to introduce a fraud detectionsystem from the transaction history of contracts. We developed the fraud detection model without supervised labelbased on the anomaly detection and succeeded in detecting certified fraud contracts in the top rank.

Japan is suffering from a serious labor shortage due to the economic expansion anddemographic change in the non-regular employment of the labor market. In particular, non-regularemployees account for 80% of employees in the food-service industry is a critical issue. The purpose ofthe present study is to analyze a mechanism of job matching focusing on non-regular employmentthrough agent-based modeling.

There are many previous studies on IPO open prices. In particular, underpricing,where the public price is lower than the initial price, is an important issue from themanagement's point of view, as it causes loss of opportunity for issuers. Various hypothesesabout the cause of underpricing have been made by previous research. In this research, wefocus on the calculation of corporate value when determining the open price. Specifically,SCDV was created based on patent documents owned by the company. Next, a similarcompany comparison method was performed by selecting similar companies based on thecreated document vectors, and the validity of the open price was attempted.

Urban parks are public spaces indispensable for realizing a sustainable society. On the otherhand, urban parks are also annoying spaces that make people uneasy. Urban parks are attractive andrevitalizing the city must be a space that can accommodate diverse people. But the reality is an exclusiveand crippled space. That is because diverse people have not been in harmony for a long time. In this study,we aim to develop a dynamic model for urban parks to become truly open public spaces, and to examinethe state transition of urban parks. This study is in progress.

Investors refer to a variety of information when making investment decisions: The amount ofavailable information is increasing day by day due to the spread of the Internet, and it is difficult to graspall information such as causality. In this study, we attempt to construct an understanding support model thatcan visualize news through Attention-Based Bi-LSTM model using Reuters News as an analysis target.

In Japan which faces population decline and labor shortage, it is obvious that low productivityis an essential social issue that cannot be avoided.On the other hand, it is also true that Japanese technology is highly evaluated from a micro perspective.Based on these, low productivity in Japan can be said to be an organizational management issue.From the above, in this study, we identify an organization formation model that maximizes the productivityof organization by analysing how individual productivity and behavior patterns affect the productivity oforganization.In addition, these productivity of organization is generated by complex social systems such as individualinteractions, so we try to demonstrate the macro social order generatively using Agent-based model(ABM).