Affiliation |
Faculty of International Social Sciences, Division of International Social Sciences |
Job Title |
Professor |
Mail Address |
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YNU Research Center |
MOTOHASHI Eiji
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The Best Research Achievement in Research Career 【 display / non-display 】
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【Published Thesis】 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(横浜経営研究) 2022.03
【Published Thesis】 Contribution Analysis of Video Advertising with Topic Model and Ensemble Learning(Artificial Intelligence) 2021.05
【Published Thesis】 Marketing Science 2013.03
The Best Research Achievement in the last 5 years 【 display / non-display 】
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【Published Thesis】 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(横浜経営研究) 2022.03
【Published Thesis】 Behavioral Traits of Trial Members Captured from Partnership Loyalty Program(Kodo Keiryogaku (The Japanese Journal of Behaviormetrics)) 2022.03
【Published Thesis】 Contribution Analysis of Video Advertising with Topic Model and Ensemble Learning(Artificial Intelligence) 2021.05
【Published Thesis】 Emergent-Nature Consumers as the Source of Innovation for Rapid Change::Analyses of Social Media Usage during the COVID-19 Outbreak(Japan Marketing Journal) 2021.03
【Published Thesis】 A Study on Statistical Forecasting Methods of Foreign Patent Cost(Journal of the Japan Society for Intellectual Production) 2020.01
YNU Research Center 【 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 】
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Doctor of Philisophy - The Graduate University for Advanced Studies
Campus Career 【 display / non-display 】
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2023.4
Duty Yokohama National UniversityFaculty of International Social Sciences Division of International Social Sciences Professor
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2014.4-2023.3
Duty Yokohama National UniversityFaculty of International Social Sciences Division of International Social Sciences Associate Professor
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2013.4-2014.3
Duty Yokohama National UniversityFaculty of International Social Sciences Division of International Social Sciences Lecturer
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2023.4
Concurrently Yokohama National UniversityGraduate School of International Social Sciences Department of Business Administration Professor
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2023.4
Concurrently Yokohama National UniversityCollege of Business Administration Department of Business Administration Specialization in Management Science Professor
External Career 【 display / non-display 】
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2010.4-2013.3
Special researcher of the Japan Society for the Promotion of Science
Academic Society Affiliations 【 display / non-display 】
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2008
INFORMS
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2008
American Statistical Association
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2004
Japan Institute of Marketing Science
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2009
Japan Statistical Society
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2016.6
人工知能学会
Research Areas 【 display / non-display 】
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Humanities & Social Sciences / Commerce
Books 【 display / non-display 】
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Rで学ぶ統計データ分析
本橋 永至( Role: Sole author)
オーム社 ( ISBN:9784274217814 )
Total pages:262 Language:Japanese Book type:Textbook, survey, introduction
Papers 【 display / non-display 】
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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
Language:Japanese Publishing type:Research paper (scientific journal) Publisher:日本行動計量学会 Joint Work
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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
Language:Japanese Publishing type:Research paper (bulletin of university, research institution) Joint Work
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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
Language:Japanese Publishing type:Research paper (scientific journal) Publisher:The Behaviormetric Society Joint Work
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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]
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
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Akihiro Nishimoto, Sotaro Katsumata, Eiji Motohashi
Japan Marketing Journal 40 ( 4 ) 44 - 57 2021.3 [Reviewed]
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
Charge of on-campus class subject 【 display / non-display 】
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2024 Seminar 2b (Master's Programs)
Graduate School of International Social Sciences
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2024 Seminar 2a (Master's Programs)
Graduate School of International Social Sciences
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2024 Seminar 1b (Master's Programs)
Graduate School of International Social Sciences
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2024 Seminar 1a (Master's Programs)
Graduate School of International Social Sciences
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2024 Statistical Data Analysis
Liberal Arts Education