MOTOHASHI Eiji

Affiliation

Faculty of International Social Sciences, Division of International Social Sciences

Job Title

Professor

Mail Address

E-mail address

YNU Research Center

Research Center for Business Simulation



ORCID  https://orcid.org/0000-0002-2088-1170

The Best Research Achievement in Research Career 【 display / non-display

The Best Research Achievement in the last 5 years 【 display / non-display

Education 【 display / non-display

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    2013.3

    The Graduate University for Advanced Studies   Doctor Course   Completed

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    2009.9

    カリフォルニア大学アーバイン校   インフォメーション・アンド・コンピュータ・サイエンス研究科   統計学専攻   Master Course   Completed

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    2005.3

    Rikkyo University   Master Course   Completed

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    2003.3

    Rikkyo University   Graduated

Degree 【 display / non-display

  • Doctor of Philisophy - The Graduate University for Advanced Studies

Campus Career 【 display / non-display

  • 2023.4
     
     

    Duty   Yokohama National UniversityFaculty of International Social Sciences   Division of International Social Sciences   Professor  

  • 2014.4
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    2023.3

    Duty   Yokohama National UniversityFaculty of International Social Sciences   Division of International Social Sciences   Associate Professor  

  • 2013.4
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    2014.3

    Duty   Yokohama National UniversityFaculty of International Social Sciences   Division of International Social Sciences   Lecturer  

  • 2023.4
     
     

    Concurrently   Yokohama National UniversityGraduate School of International Social Sciences   Department of Business Administration   Professor  

  • 2023.4
     
     

    Concurrently   Yokohama National UniversityCollege of Business Administration   Department of Business Administration   Specialization in Management Science    Professor  

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External Career 【 display / non-display

  • 2010.4
    -
    2013.3

      Special researcher of the Japan Society for the Promotion of Science  

Academic Society Affiliations 【 display / non-display

  • 2008
     
     
     

    INFORMS

  • 2008
     
     
     

    American Statistical Association

  • 2004
     
     
     

    Japan Institute of Marketing Science

  • 2009
     
     
     

    Japan Statistical Society

  • 2016.6
     
     
     

    人工知能学会

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Research Areas 【 display / non-display

  • Humanities & Social Sciences / Commerce

 

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

     More details

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

Papers 【 display / non-display

  • パートナーシップ・ロイヤルティ・プログラムのトライアル会員の行動分析

    寺本 高, 若鶴 優, 鶴見 裕之, 本橋 永至, 佐藤 伸, 中岸 恵実子

    日本行動計量学会大会抄録集   50 ( 0 )   164 - 165   2022.8

    DOI CiNii Research

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    Language:Japanese   Publishing type:Research paper (scientific journal)   Publisher:日本行動計量学会   Joint Work  

  • 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  

  • Behavioral Traits of Trial Members Captured from Partnership Loyalty Program

    TERAMOTO Takashi, WAKATSURU Masaru, TSURUMI Hiroyuki, MOTOHASHI Eiji, SATO Shin, NAKAGISHI Emiko

    Kodo Keiryogaku (The Japanese Journal of Behaviormetrics)   49 ( 1 )   15 - 27   2022.3

    DOI CiNii Research

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    Language:Japanese   Publishing type:Research paper (scientific journal)   Publisher:The Behaviormetric Society   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

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

  • 2024   Seminar 2b (Master's Programs)

    Graduate School of International Social Sciences

  • 2024   Seminar 2a (Master's Programs)

    Graduate School of International Social Sciences

  • 2024   Seminar 1b (Master's Programs)

    Graduate School of International Social Sciences

  • 2024   Seminar 1a (Master's Programs)

    Graduate School of International Social Sciences

  • 2024   Statistical Data Analysis

    Liberal Arts Education

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