Affiliation |
Faculty of International Social Sciences, Division of International Social Sciences |
Job Title |
Associate Professor |
Mail Address |
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MOTOHASHI Eiji
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The Best Research Achievement in Research Career 【 display / non-display 】
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【Published Thesis】 市場構造の変化を考慮したブランド選択モデルによる購買履歴データの解析 2013.03
【Awards】 2010年度統計関連学会連合大会コンペティション講演優秀報告賞 2010.09
【Awards】 日本マーケティング・サイエンス学会若手研究者発表セッション審査員特別賞 2005.12
The Best Research Achievement in the last 5 years 【 display / non-display 】
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【Published Thesis】 Contribution Analysis of Video Advertising with Topic Model and Ensemble Learning 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 2021.03
【Published Thesis】 The Empirical Study of Effects of Image Components in Ad Creative to Click by Computer Vision 2020.03
【Published Thesis】 海外特許費用の統計的予測手法に関する研究 2020.01
【Published Thesis】 Measuring Total Effects of Advertising Including Mediation Effect of Social Media on Sales 2019.03
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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2014.4
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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2021.4
Concurrently Yokohama National UniversityInterfaculty Graduate School of Innovative and Practical Studies Associate Professor
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2017.4
Concurrently Yokohama National UniversityCollege of Business Administration Department of Business Administration Specialization in Management Science Associate Professor
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2014.4
Concurrently Yokohama National UniversityGraduate School of International Social Sciences Department of Business Administration Associate 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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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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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
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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]
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
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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]
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>
Charge of on-campus class subject 【 display / non-display 】
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2022 Seminar 2b (Master's Programs)
Graduate School of International Social Sciences
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2022 Seminar 2a (Master's Programs)
Graduate School of International Social Sciences
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2022 Seminar : Marketing Science 1
College of Business Administration
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2022 Statistics2-A
Liberal Arts Education
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2022 Market analysis
Graduate School of International Social Sciences