Books 【 display / non-display 】

Books 【 display / non-display 】

• Rで学ぶ統計データ分析

  本橋　永至（ Role： Sole author）

  オーム社  （ ISBN:9784274217814 ）

  Amazon

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  Total pages：262   Language：Japanese Book type：Textbook, survey, introduction

Papers 【 display / non-display 】

Papers 【 display / non-display 】

• スタッキングアルゴリズムを用いた特許拒絶理由類型の判別

  本橋永至, 髙橋省吾, 真鍋誠司, 鈴井智史, 井田英紀, 松井重明

  横浜経営研究   2022.3

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  Language：Japanese   Publishing type：Research paper (bulletin of university, research institution)   Joint Work  

• Contribution Analysis of Video Advertising with Topic Model and Ensemble Learning

  Eiji Sakihama, Yasukazu Kawasaki, Eiji Motohashi

  Artificial Intelligence   36 ( 3 )   1 - 8   2021.5  [Reviewed]

  DOI CiNii Research

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  Language：Japanese   Publishing type：Research paper (scientific journal)   Publisher：The Japanese Society for Artificial Intelligence   Joint Work  

  Other Link： https://www.jstage.jst.go.jp/article/tjsai/36/3/36_36-3_B-K91/_pdf/-char/ja

• Emergent-Nature Consumers as the Source of Innovation for Rapid Change::Analyses of Social Media Usage during the COVID-19 Outbreak

  Akihiro Nishimoto, Sotaro Katsumata, Eiji Motohashi

  Japan Marketing Journal   40 ( 4 )   44 - 57   2021.3  [Reviewed]

  DOI CiNii Research

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  Language：Japanese   Publishing type：Research paper (scientific journal)   Publisher：Japan Marketing Academy   Joint Work  

  <p>The aim of this study is to show the value of emergent-nature consumers (ENCs) as a source of next-generation innovation during periods of rapid change such as the COVID-19 outbreak. We collected application startup logs from smartphones and conducted a survey during the COVID-19 pandemic crisis. We found that ENCs were more adaptable to environmental change due to the COVID-19 outbreak than lead-users (LUs). In addition, ENCs increased or decreased their usage of social media less than LUs and general-users (GUs), and used these media broadly during the COVID-19 crisis. These results suggest that ENCs use their social media more broadly and frequently than other consumers.</p>

  Other Link： https://ci.nii.ac.jp/naid/130008009636

• The Empirical Study of Effects of Image Components in Ad Creative to Click by Computer Vision

  Toyosawa-Sakihama Eiji, Kawasaki Yasukazu, Motohashi Eiji

  Ouyou toukeigaku   48 ( 3 )   59 - 70   2020.3  [Reviewed]

  DOI

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  Language：Japanese   Publishing type：Research paper (scientific journal)   Publisher：Japanese Society of Applied Statistics   Joint Work  

  Other Link： https://ci.nii.ac.jp/naid/130007833658

• A Study on Statistical Forecasting Methods of Foreign Patent Cost

  TAKAHASHI Shogo, MANABE Seiji, MOTOHASHI Eiji, KISHIMOTO Shigeo, HAGIHARA Toru, KIM Eunhun

  Journal of the Japan Society for Intellectual Production   16 ( 1 )   35 - 43   2020.1  [Reviewed]

  DOI CiNii Research

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  Language：Japanese   Publishing type：Research paper (scientific journal)   Publisher：Japan Society for Intellectual Production   Joint Work  

  <p>Filing a foreign patent is extremely expensive. The indirect costs have a major impact on corporate earnings. Therefore, firms must manage the cost of filing for a foreign patent by forecasting such costs in the forthcoming fiscal years and including them into their management strategy. However, costs vary with the timing and number of inventions, thus complicating cost forecasting. Thus, firms need to use simple methods to predict foreign patent costs for the fiscal year in question by referencing the previous year's actual numbers. The present study compares multiple statistical forecasting methods to find a more accurate method of estimating foreign patent costs, particularly for the United States, and to apply this method to corporate practice. The study found a precise method of forecasting future overseas patent costs by selecting the most appropriate methodology for the existing circumstances from among multiple forecasting methodologies by using a certain algorithm and developing a forecasting system.</p>

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Charge of on-campus class subject 【 display / non-display 】

Charge of on-campus class subject 【 display / non-display 】

• 2022   Seminar 2b (Master's Programs)

  Graduate School of International Social Sciences

• 2022   Seminar 2a (Master's Programs)

  Graduate School of International Social Sciences

• 2022   Seminar : Marketing Science 1

  College of Business Administration

• 2022   Statistics2-A

  Liberal Arts Education

• 2022   Market analysis

  Graduate School of International Social Sciences

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