JSAI Technical Report, Type 2 SIG
Online ISSN : 2436-5556
Volume 2019, Issue BI-012
The 12th SIG-BI
Displaying 1-9 of 9 articles from this issue
  • Hiroaki YAMADA, Naoyuki KAMIYAMA, Hiroaki IWASHITA, Takuya OHWA, Kotar ...
    Article type: SIG paper
    2019 Volume 2019 Issue BI-012 Pages 01-
    Published: March 19, 2019
    Released on J-STAGE: February 03, 2022
    RESEARCH REPORT / TECHNICAL REPORT FREE ACCESS

    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.

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  • Yusuke MATSUMOTO, Aiko SUGE, Hiroshi TAKAHASHI
    Article type: SIG paper
    2019 Volume 2019 Issue BI-012 Pages 02-
    Published: March 19, 2019
    Released on J-STAGE: February 03, 2022
    RESEARCH REPORT / TECHNICAL REPORT FREE ACCESS

    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.

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  • Hirotaka YANADA, Setsuya KURAHASHI
    Article type: SIG paper
    2019 Volume 2019 Issue BI-012 Pages 03-
    Published: March 19, 2019
    Released on J-STAGE: February 03, 2022
    RESEARCH REPORT / TECHNICAL REPORT FREE ACCESS

    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.

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  • Kiyotaka SHIN, Xueyin QU, Aiko SUGE, Hiroshi TAKAHASHI
    Article type: SIG paper
    2019 Volume 2019 Issue BI-012 Pages 04-
    Published: March 19, 2019
    Released on J-STAGE: February 03, 2022
    RESEARCH REPORT / TECHNICAL REPORT FREE ACCESS

    This research aims to construct a system that leads the improvement of restaurantcompetitiveness by using POS data. The labor productivity of the food-service industry in Japan is very low, haslong suffered from lack of personnel and continues to struggle maintaining talent. In order to solve this problem,we analyzed the POS data and customer data of a high-end sushi shop with a high customer unit price andhypothesized that several factors may affect customers' loyalty through CRM (Customer RelationshipManagement). Besides, this study contributes to identify loyal customers through purchasing behavior.

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  • Kenta KOMINE, Miki SAITO, Aiko NAKATO, Isshin SASAKI, Hisashi HAYASHI
    Article type: SIG paper
    2019 Volume 2019 Issue BI-012 Pages 05-
    Published: March 19, 2019
    Released on J-STAGE: February 03, 2022
    RESEARCH REPORT / TECHNICAL REPORT FREE ACCESS

    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.

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  • Isao KARUBE, Setsuya KURAHASHI
    Article type: SIG paper
    2019 Volume 2019 Issue BI-012 Pages 06-
    Published: March 19, 2019
    Released on J-STAGE: February 03, 2022
    RESEARCH REPORT / TECHNICAL REPORT FREE ACCESS

    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.

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  • Xueyin QU, Aiko SUGE, Hiroshi TAKAHASHI
    Article type: SIG paper
    2019 Volume 2019 Issue BI-012 Pages 07-
    Published: March 19, 2019
    Released on J-STAGE: February 03, 2022
    RESEARCH REPORT / TECHNICAL REPORT FREE ACCESS

    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.

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  • Junsuke SENOGUCHI, Takahiro OBATA, Setsuya KURAHASHI
    Article type: SIG paper
    2019 Volume 2019 Issue BI-012 Pages 08-
    Published: March 19, 2019
    Released on J-STAGE: February 03, 2022
    RESEARCH REPORT / TECHNICAL REPORT FREE ACCESS

    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.

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  • Takamasa KIKUCHI, Hiroshi TAKAHASHI
    Article type: SIG paper
    2019 Volume 2019 Issue BI-012 Pages 09-
    Published: March 19, 2019
    Released on J-STAGE: February 03, 2022
    RESEARCH REPORT / TECHNICAL REPORT FREE ACCESS
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