In the theme park, restricting the order of wandering or the use of the attractions is greatly reducevisitor satisfaction. The problem of how to achieve overall system optimization such as congestionreduction where managers can not force people to do something is a unique problem on pedestrian flowcontrol. In recent years, many researchers have been optimized congestion using simulation optimizationmethods. However, the method they use is forces people to do something, indirect control method likeinformation distribution has not been to be used in. In this paper, we attempt to optimize congestion byusing "congestion forecasting" as one of indirect pedestrian control method. We propose a method to deriveoptimal information distribution policy by using congestion forecasting satisfying user equilibrium.

Business behavior changes as a company grows. One of the behaviors which a company changeas it grows is diversification. While diversification is an advantage for a company, it can also be adisadvantage. This study analyzes how corporate diversification affects enterprise value, especially thesynergy effect between business units. We plan to analyze in detail in the future.

The purpose of this study is to investigate the relationships between performance of Start-Upsand external support to them. We analyzed the questionnaire research on the basis of the answers whichwere obtained from 2,897(1st research) people of Start-Ups. As a research method, we used two methodsusing a propensity score. This point is one of the novelties of this research. First, we tried a matchingmethod, and we found that most external support alone did not have the causal effect of improving per-formance, but some significant causal effects were found in part. Subsequently, we confirmed the effectsagain by using the weighting method.

本研究は、外食産業の POS データを用いて企業の経営力向上に繋げるシステムの提供を目的としている。日本の外食産業は、労働生産性が低い上、慢性的な人手不足で人材確保に苦労している。この課題に顧客関係管理（Customer Relationship Management, CRM)が有効と考え、常連客が再来店する行動を説明する要素を検出すべく、客単価の高い寿司店の POS データと顧客データを分析した。顧客の購買行動の特徴を明らかにし、優良顧客の識別と販売政策の検討を行う。

Under direct negotiation between the orderer and the contractor in the procurement process inthe manufacturing industry, competitive bidding based on price often causes dumping. In addition, ordersare concentrated on some contractors, and the productivity of the entire group of companies declines. Inthis research, we propose a market mechanism based on automated negotiation which selects the contractorsso that production amount of the whole market increases while securing the profit of each contractor. Morespecifically, while the bidders try to get high-profit tasks from the projects on the market, our reverse-auction algorithm for the market allocates tasks to bidders so that the production amount of the entire marketincreases.

Japanese agricultural sector is facing several risks such as "the aging farming population", "theshortage of successors", "the increasing abandoned farmland" and "low profitability ". Japanesegovernment and farmers have been deploying various efforts to eliminate these risks such as changingThe Agricultural Land Act and investing Infrastructure investment. There are some cases of improvingsales by constructing new irrigation facilities and developing means of transportation and sales channels.In this paper, authors made simple plant selection models of farmers and governments and try to checkthe impact to planting of farmers by agent simulation. As a result of simulation experiments, thesimulation environment enabled authors to confirm the change due to differences in producer's pricebargaining power and administrative decision-making pattern in parameters designed with reference toactual conditions.

One of the anomalies in the financial markets is the week day effect. Although reports of theweekday effect have been conducted in China's stock market, the cause of the effect is still indecisive.The purpose of this study is to clarify the relevance of the weekday effect and news about the Chinesestock market. In this paper, we examined the polarity of the news and try to explain its relevance with theweekday effect.

Although predicting stock price by machine learning is an important theme both in theacademic and business fields, it is also extremely important to elucidate the structure of the backgroundstock market behind the predict model. In this research, we aim to elucidate what kind of factors are in thebackground of the stock price prediction by using wavelet analysis. From the historical stock pricetechnical index and various financial market data, we create a model to predict the sign of the waveletcoefficient. We also visualize the mechanism of stock price forecasting by elucidating in time series thetypes of indicators contributing greatly in the prediction model.

本邦では，社会の高齢化・長寿化が進展にするにつれ，資産寿命を延伸することの重要性が高まってきている．しかし，資産の形成や取り崩し，承継領域に係る論点については，必ずしも議論が深まっているとは言えない状況にある．特に，退職後の資産取り崩しを前提とした資産形成・運用に関して，理論や基本的な考え方の整備，個人の特性に応じた助言・コンサルティングの枠組みの高度化など，様々な検討を進める必要がある．そこで本稿では，個人の特性やライフイベントを勘案したキャッシュフローマネジメントに係るシミュレーションの枠組みを提案する．資産形成や取り崩しに係る個人の意思決定を取り扱うエージェントモデルを構築し，外生的に与える各種シナリオにおいて，資産枯渇に与える影響を分析する．