Updated on 2025/04/30

写真a

 
Masao Ueda
 
Organization
Graduate School of Data Science Department of Data Science Professor
School of Data Science Department of Data Science
Title
Professor
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Degree

  • Doctor of Commerce ( Waseda University )

  • Master of Agriculture ( Hokkaido University )

Research Interests

  • Business Science, Business Analytics, Marketing Research, Data Analysis

Research Areas

  • Humanities & Social Sciences / Commerce

Professional Memberships

  • The Behaviormetric Society of Japan

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  • Japan Institute of Marketing Science

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  • Japan Association for Consumer Studies

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  • Japan Society of Marketing and Distribution

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Committee Memberships

  • 財団法人日本食肉消費総合センター   消費者意識調査検討委員会  

    2008.4 - 2013.3   

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Papers

  • 新商品の成功に関わる商品名の効果に関する検証 Reviewed

    山川 藍鈴, 井出 千愛, 深沢 茉音, 上田 雅夫

    2024

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    Authorship:Last author   Language:Japanese   Publishing type:Research paper (conference, symposium, etc.)  

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  • An Indicator to Measure the Relationship Between Firms and Consumers Based on the Subjective Well-Being of Consumers: Promoting Corporate Social Contribution Activities to Maintain Socially Sustainable Development

    Masao Ueda

    Social Computing and Social Media: Applications in Education and Commerce   375 - 387   2022.6

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    Publishing type:Part of collection (book)   Publisher:Springer International Publishing  

    DOI: 10.1007/978-3-031-05064-0_28

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  • Proposal of a method to identify recall ability and brand associations Reviewed

    Masao Ueda

    International Journal of Market Research   2021.5

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    Authorship:Lead author, Corresponding author   Language:English   Publishing type:Research paper (scientific journal)  

    The purpose of this research is to develop a method to identify the ability to recall brand association and clarify which brand association is able to discriminate the recall ability. To achieve this purpose, in this research, the reaction and reaction time data to the presented brand<br />
    association were collected via smartphone, and the data were analyzed by a hierarchy Bayesian model based on the idea of two-parameter model of item response theory (IRT). The result of<br />
    description data showed that it was the significance to utilized reaction time. The analysis result by a hierarchy Bayesian model indicated that this method enables to efficient brand communication<br />
    as the proposed model can estimate both the recall ability and the parameter to utilize in brand communication. This research contributes to both academic and business areas by proposing a<br />
    convenience and effective method to identify consumers’ brand recalling ability.

    DOI: 10.1177/1470785319865136

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  • 日本のデータサイエンスの過去・現在・ 未来と OR Invited

    上田雅夫

    オペレーションズ・リサーチ   65 ( 11 )   567 - 572   2020.11

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    Language:Japanese   Publishing type:Research paper (scientific journal)  

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  • Latent Variable Models for Integrated Analysis of Credit and Point Usage History Data on Rewards Credit Card System Reviewed

    Ryotaro Shimizu, Haruka Yamashita, Masao Ueda, Ranna Tanaka, Tetsuya Tachibana, Masayuki Goto

    International Business Research   13 ( 3 )   106 - 117   2020.2

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    Language:English   Publishing type:Research paper (scientific journal)  

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  • Criteria for Choosing Between a Cash or Credit Card Payment, Estimated by a Threshold Random Effects Model Reviewed

    Ai Ikeda, Maso Ueda,Takeshi Moriguchi

    Proceedings of the Asia Pacific Industrial Engineering & Management Systems Conference 2019   2019.12

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    Language:English   Publishing type:Research paper (international conference proceedings)  

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  • douProposal of Index Regarding Customer Relationship Management by Using the Duration from Contract to Initial UsageーAiming for Managing the Customer Relationship in Contractual Setting Reviewed

    Ueda, Masao

    The Japanese Journal of Behaviourmetrics   46 ( 2 )   97 - 106   2019.9

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    Publishing type:Research paper (scientific journal)  

    The objective in this research is to propose an index for customer relationship management instead of utilizing RFM or share of wallet. This study examined whether the number of days from contract to initial usage can be used as the index for customer management. For this purpose, an empirical analysis was conducted by using a Bayesian model with purchase history data of a single year and three years regarding two kinds of credit cards and a customer master data. The results of the empirical analysis showed the shorter duration to the contract day, the amount of money for the one hundred eighty days from initial usage became higher. These results clarified that
    the days can be utilized as the index for customer management. In the conventional customer management index such as RFM, it is necessary to store purchase history data for several months in a data warehouse, however, this proposed method does not need to store transaction data since the duration data can be utilized. Hence, this index can promptly find problematic customers.

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  • A shopping-path length estimation using Markov-chain-based shopper dynamics model Reviewed

    Shunichi O, M. Ueda, K. Yoshimoto

    Operations and Supply Chain Management: An International Journal (In-press)   2019.2

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  • Shelf-space Allocation Model with Demand Learning Reviewed

    K. Ishichi, S. Ohmori, M. Ueda, K. Yoshimoto

    Operations and Supply Chain Management: An International   12 ( 1 )   24 - 30   2019.1

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    Language:English   Publishing type:Research paper (scientific journal)  

    In this paper, we studied the shelf-space allocation problem (SSAP). It is quite common recently to implement product design during a selling season and drastically change assortment decisions based on shelf-space allocation in response to up-to-date demand observations. While there are many literatures related to SSAP, However, existing literature assume that the demand is stationary. In this paper, we propose a dynamical framework to make shelf-space display decisions, in which space elasticity and potential demand are sequentially estimated using the latest data containing display space and sales for each product.

    DOI: 10.31387/oscm0360219

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  • Method for Measuring Brand Image Using Reaction Time and Hierarchical Bayesian Model Reviewed

    Masao Ueda

    Proceedings of the Asia Pacific Industrial Engineering & Management Systems Conference 2017   2017.12

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    Language:English   Publishing type:Research paper (international conference proceedings)  

    Abstract. Most brand managers need an effective and convenient method to measure the image of their brand that is held by consumers. One approach is to use reaction time as an indicator of the strength of the connection between brand and brand associations. In this study, an Internet survey is used to collect both responses and response (reaction) times for a series of questionnaire items. An appropriate survey mechanism is developed and two hierarchical Bayesian models are examined to determine which is more suited to measuring brand image. The simpler model measures only the weight of the brand association as indicated by consumer responses to the questionnaire items; more complex model measures not only the weight of the brand association but also the consumer’s ability to recall the brand. The results indicate that the simpler model is quite suitable for practical use.

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  • Measurement of the Degree of Brand Purchase Intention by Using Reaction Time Reviewed

    Ueda, Masao

    Proceedings of the Asia Pacific Industrial Engineering & Management Systems Conference 2016   2016.12

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    Language:English   Publishing type:Research paper (international conference proceedings)  

    Most brand managers are interested in measuring the degree of purchase intention of their brands. Purchase intention is useful to predict the future earnings of a brand. However, previous research has not measured brand purchase intention to learn the state of the brand. Therefore, this research proposes a method to measure the degree of brand purchase intention by using respondents’ reaction time between reading and answering a query about a brand. An original survey method to collect reaction time was developed and the results of this survey were analyzed by GLMM. The random parameters were estimated by the MCMC method. Because the respondents’ reactions are influenced by their past purchase experiences, the model in this research is developed for not only reaction time but also past purchase experience as an explanatory variable. Thus, the proposed model enables the measurement of purchase intention except for the influence of past purchase experience. The estimated parameter results clearly show the difference among brands and the present state of each brand.

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  • Understanding of Changes of Brand Association Network with Time Reviewed

    Masao Ueda

    The Japanese Journal of Behaviormetrics   43 ( 1 )   69 - 83   2016

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    Language:Japanese  

    The purpose of this research is to offer the point which utilizes the brand association network for brand management. For this purpose, the consumer survey was performed four times from the same respondents in order to collect brand association networks.
    The following three points became clear from result of this survey
    ● The brand association network change with time
    ● The change is not only an addition and disappearance of the association in a network, but also combination of a link, and cutting.
    ● The relations among associations are not stable, and changes with time. This means that a certain association meaning has also changes with time.

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  • Understanding of brand image by the strength of the connection of the brand association: utilizing utilizing graded response model of item response theory Reviewed

    Operations research as a management science [r]esearch   60 ( 12 )   728 - 738   2015.12

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    Language:Japanese  

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  • 反応時間の測定によるブランド・イメージの管理手法の検討

    上田雅夫

    日経広告研究所報   49 ( 283 )   2 - 9   2015.10

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    Language:Japanese   Publishing type:Research paper (scientific journal)   Publisher:日経広告研究所  

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  • Review of the Method Collecting the Brand Association Reviewed

    Ueda, Masao

    The Bulletin of the Graduate School of Commerce   78   67 - 86   2014.3

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    Authorship:Lead author   Language:Japanese  

    In order to manage a brand, it is necessary to collect the brand association and to confirm what brand image a consumer has. Various methods to collect brand association have been proposed through previous studies. Previous methods have advantages and disadvantages, and they were selectively used by a brand manager according to his/her purpose to manage his/her brand. Since those methods have not been classified systematically, this study discussed the usage of past proposed methods with regard to their feature and tried to classify these past methods.

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  • Collection of Brand Association for Brand Management Reviewed

    Ueda, Masao

    The Japanese Journal of Behaviormetrics   40 ( 2 )   115 - 122   2013.9

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    Four research methods (free association, sentence completion tests, cartoon completion tests, respondent association network) were compared in order to clarify the characteristics of methods to collect brand association. The result of an experimental study indicates the characteristics of each method. In this study past studies relating to collecting brand association were reviewed and an experimental study was conducted. The result of the experimental study indicates the relationship between the purpose and method of collect brand association and touches on practical use in business. At the end of the study, future challenges and the pros and cons of each of the methods covered are discussed.

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  • Proposal of How to Summarize the Survey Data Collecting from the Social Community Invited Reviewed

    Masao Ueda

    Communications of the Operations Research Society of Japan   58 ( 8 )   449 - 454   2013.8

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    Language:Japanese  

    With the diffusion of MROC (Marketing Research Online Community), the result of this study revealed that it is possible to obtain valuable information from dialogue of respondents in a website community. MROC gives marketing staff good news in order to carry out the marketing activeties. However, MROC creates a new problems that is the difficulty to summarize the dialogues in the website community. In order to overcome this problem, this study proposed a method to unify respondents’ attribute, their dialogues and their needs which underlie their dialogues.

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  • Social Media and the Future of Marketing - Current Usage by the Consumers

    Ueda, Masao

    Bulletin of Nikkei Advertising Research Institute   46 ( 5 )   24 - 30   2012.10

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    Language:Japanese  

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  • Analysis of Purchase History of the Online Supermarket

    Ueda, Masao

    The Journal of Marketing and Distribution   496 ( 1 )   65 - 73   2012.6

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    Language:Japanese  

    This paper reported the current usage of online supermarket by online survey. The data of this survey is analyzed with regard to the purchase reason, the purchase amount and purchase satisfaction of consumer as well as the future task of the online supermarket. Finally, based on result of analysis, this author discussed the measure to improve the frequency of purchase at online supermarket.

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  • Utilizing of Brand Association Network for Marketing

    Ueda, Masao

    Bulletin of Nikkei Advertising Research Institute   47 ( 2 )   26 - 31   2012.4

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    Language:Japanese  

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  • Possibility of qualitative research by Twitter Reviewed

    Ueda, Masao

    Marketing Researcher   116 ( 116 )   53 - 62   2011.12

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    Language:Japanese  

    People have two kinds of memory system. One is long-term memory and the other is short-term memory. Long-term memory keeps knowledge and experience and short-term memory keeps what he/she felt in the moment. The knowledge and experience which are kept in long-term memory are collected in conventional marketing research, however, the contents which are kept in short-term memory have not been collected before. It is also necessary to collect the contents in short-term memory in order to understand an actual consumer’s experience and opinion correctly. Thus, through this perspective, this study was conducted in order to confirm the possibility to collect what a consumer sees or feels by using mini-blog, Twitter. A result of empirical research showed that proposed method in this study is effective to collect short-time memory, since it is possible to collect the contents and impressions of the ads which a respondent has seen on his/her way to work.

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  • Change on the Consumers' Purchasing Behavior of of Food due to the Global Financial Crisis Reviewed

    The Review of Agriculuture Economics Hokkaido University   66   13 - 19   2011.3

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    Language:Japanese  

    In this paper, we analyzed the influence of the Global Financial Crisis on the grocery-purchasing behavior of consumers in Japan. We used the daily scanner data of a supermarket chain in Hokkaido, aggregated over the top ten branches in terms of the number of customers between January 2008 and December 2009. We built systems of itemlevel demand functions for four categories: raw eggs, milk (excluding low-fat milk), natto (fermented soybeans), and
    tofu. Each system was estimated for the pre- and post-crisis periods. The overall results show that, in most of the categories,the consumers became more sensitive to prices after the crisis. With regard to item-level price elasticity, we found three types of changes in the estimates of own- and cross-price elasticities, which were increased own elasticity only, both increased own and cross elasticity, and increased cross elasticity only.

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  • Understanding of Consumer Image by Respondent Association Network Method Reviewed

    Ueda, Masao

    The Japanese Journal of Behaviormetrics   36 ( 2 )   81 - 88   2009.9

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    Language:Japanese   Publisher:The Behaviormetric Society of Japan  

    The understanding of consumer product and brand image is vital to the implementation of marketing. The understanding of consumer image through associative networks in particular allows for a deep understanding of the relationships between associations and provides effective business hints. In this study a new research method for understanding consumer images through associative networks was proposed and an empirical study was held to determine the effectiveness of this proposed method. Analyzing the survey results showed that the associations obtained by having participants create associative networks are sufficient for use in marketing purposes, as intended.

    DOI: 10.2333/jbhmk.36.81

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Books

  • マーケティングの力: 最重要概念・理論枠組み集 (単行本)

    ( Role: Contributor)

    有斐閣  2023.5  ( ISBN:4641166137

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    Total pages:364   Language:Japanese  

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  • データサイエンス入門:データ取得・可視化・分析の全体像がわかる (単行本)

    上田 雅夫, 後藤 正幸( Role: Joint author)

    有斐閣  2022.12  ( ISBN:4641166110

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    Total pages:278   Language:Japanese  

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  • 消費者行動の実証研究

    守口, 剛, 上田, 雅夫, 奥瀬, 喜之, 鶴見, 裕之( Role: Joint editor)

    中央経済社  2018.12  ( ISBN:4502282618

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    Total pages:224   Language:Japanese  

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  • マーケティング・リサーチ入門 (有斐閣アルマSpecialized)

    星野 崇宏, 上田 雅夫( Role: Joint author)

    有斐閣  2018.12  ( ISBN:4641221162

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    Total pages:378   Language:Japanese  

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  • 消費者心理学

    山田 一成, 池内 裕美, 平木いくみ, 秋山学, 小林めぐみ, 上田雅夫, 高橋広之, 田中智恵, 山田あゆみ, 大久保暢俊, 宮澤薫, 佐野美智子( Role: Contributor)

    勁草書房  2018.10  ( ISBN:432625128X

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    Total pages:230   Language:Japanese  

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  • マーケティング・エンジニアリング入門 (有斐閣アルマ)

    上田 雅夫, 生田目 崇( Role: Joint author)

    有斐閣  2017.2  ( ISBN:4641220824

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    Total pages:300   Language:Japanese  

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  • ブランド戦略全書

    田中洋, 青木幸弘, 阿久津聡, 久保田進彦, 萩原雅之・上田雅夫, 余田拓郎, 松下光司, 小林哲, 陶山計介, 足立勝, 徐誠敏, 本庄加代子( Role: Contributor)

    有斐閣  2014.11  ( ISBN:4641164509

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    Total pages:302   Language:Japanese  

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  • ビッグデータに踊らされないための統計データ使いこなし術

    上田 雅夫( Role: Sole author)

    宝島社  2014.1  ( ISBN:4800220173

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    Total pages:215   Language:Japanese  

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  • インストア・マーチャンダイジング: 製配販コラボレーションによる売場作り

    流通経済研究所( Role: Contributor)

    日本経済新聞出版社  2008.7  ( ISBN:453231402X

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    Total pages:255   Language:Japanese  

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  • マーケット・セグメンテーション―購買履歴データを用いた販売機会の発見 (専修大学商学研究所叢書)

    中村博, 上田雅夫, 生田目崇, 佐藤栄作, 鶴見裕之( Role: Contributor)

    白桃書房  2008.3  ( ISBN:4561661700

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    Total pages:187   Language:Japanese  

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  • Webマーケティングの科学―リサーチとネットワーク

    井上, 哲浩, 日本マーケティング・サイエンス学会( Role: Contributor)

    千倉書房  2007.2  ( ISBN:4805108746

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    Total pages:243   Language:Japanese  

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  • POS・顧客データの分析と活用

    流通経済研究所( Role: Contributor)

    同文舘出版  2003.5  ( ISBN:4495639315

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    Total pages:181   Language:Japanese  

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Presentations

  • Proposal of Risk Management Method Focusing on Superior Loyal Customers - Application of Extreme Value Statistics to Marketing

    Masao Ueda

    2022.7 

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    Event date: 2022.7

    Presentation type:Oral presentation (general)  

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  • An Indicator to Measure the Relationship Between Firms and Consumers based on the Subjective Well-Being of Consumers

    Ueda, Masao

    HCI International 2022 Conference  2022.6 

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    Event date: 2022.6 - 2022.7

    Language:English   Presentation type:Oral presentation (general)  

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  • 幸福を実現するEnabling Factorの探索

    上田雅夫, 西井正造, 武部貴則

    日本マーケティングサイエンス学会 第110回研究大会  2021.12 

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    Event date: 2021.12

    Language:Japanese   Presentation type:Oral presentation (general)  

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  • 主観的厚生による企業評価指標の安定性の確認

    上田雅夫

    日本行動計量学会第49回大会  2021.8 

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    Event date: 2021.8 - 2021.9

    Language:Japanese  

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  • Data Science、Big Dataの活⽤と消費者⾏動研究 Invited

    上田雅夫

    第61回消費者行動研究コンファレンス  2020.10 

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    Event date: 2020.10

    Language:Japanese   Presentation type:Oral presentation (invited, special)  

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  • Examination on the Possibility of Corporate Assessment Using Consumers' Subjective Well-Being

    Ueda, M

    2020.10 

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    Event date: 2020.10

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  • Examination on the Possibility of Corporate Assessment Using Consumers' Subjective Well-Being

    Ueda, M

    2020.9 

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    Event date: 2020.9

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  • Criteria for Choosing Between a Cash or Credit Card Payment, Estimated by a Threshold Random Effects Model

    Ikeda, A, M. Ueda, T. Moriguchi

    The 20th Asia Pacific Industrial Engineering And Management Systems (APIEMS 2019)  2019.12 

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    Event date: 2019.12

    Language:English   Presentation type:Oral presentation (general)  

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  • 主観的厚生を用いた企業評価の検討

    上田雅夫

    第59回消費者行動研究コンファレンス  2019.10 

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    Event date: 2019.10

    Language:Japanese  

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  • Evaluation of Brand Association at Two Different Points in Time

    Ueda, Masao

    2019 INFORMS Marketing Science Conference  2019.6 

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    Event date: 2019.6

    Language:English   Presentation type:Oral presentation (general)  

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  • 反応時間と変量効果モデルを用いたブランド・イメージの測定法の提案

    上田雅夫

    第56回消費者行動研究コンファレンス  2018.5 

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    Event date: 2019.5

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  • Proposal of Indicator Assumed by Zero-Inflated Poisson Distribution for Brand and Category Management

    Ueda, Masao

    Asia Pacific Industrial Engineering & Management Systems Conference 2018  2018.12 

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    Event date: 2018.12

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  • Proposal Method to Evaluate Brand Image by Using Psychophysical Function

    Ueda, Masao

    Informs Marketing Science Conference 2018  2018.6 

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    Event date: 2018.6

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  • Psychophysical Functionを利用したブランド・イメージの測定

    上田雅夫

    日本商業学会関東部会・3月研究会  2018.3 

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    Event date: 2018.3

    Language:Japanese   Presentation type:Oral presentation (general)  

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  • 0過剰ポアソン分布を用いたロイヤルティ指標の提案〜購入率×ロイヤルティの代替として

    上田雅夫

    日本マーケティング・サイエンス学会第102回研究大会  2017.12 

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    Event date: 2017.12

    Language:Japanese   Presentation type:Oral presentation (general)  

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  • ID付きPOSを利用した商品のグルーピング

    上田雅夫

    日本マーケティングサイエンス学会第78回研究大会  2005.12 

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    Event date: 2005.12

    Language:Japanese   Presentation type:Oral presentation (general)  

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  • インターネットを利用したカテゴリー内のサブカテゴリ―の確定

    上田雅夫

    日本マーケティングサイエンス学会第78回研究大会  2005.12 

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    Event date: 2005.12

    Language:Japanese   Presentation type:Oral presentation (general)  

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  • クレジットカードにおけるキャラクターカードの効果

    上田雅夫

    日本マーケティングサイエンス学会第77回研究大会  2005.6 

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    Event date: 2005.6

    Language:Japanese   Presentation type:Oral presentation (general)  

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  • 高齢者と新製品の購買

    上田雅夫

    日本消費者行動研究学会 第26回消費者行動研究コンファレンス  2003.6 

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    Event date: 2003.6

    Language:Japanese  

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  • Proposal of the Method to Diagnose Brand Image and Ability of a Respondent by Using Reaction Time and Hierarchy Model International conference

    Masao Ueda

    Conference of the International Federation of Classification Societies 2017  2017.8  the International Federation of Classification Societies

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    Language:English  

    Venue:Tokyo  

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  • Study on Research Using Reaction Tme

    Masao Ueda

    The 45th Annual Meetings of the Behaviormetric Society  2017.8  The Behaviormetric Society of Japan

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    Language:Japanese  

    Venue:Shizuoka City  

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  • Measurement of Brand Relationships by Using Purchase Records

    Masao Ueda

    The 44th annual meeting of the Behaviormetric Society of Japan  2016.9  The Behaviormetric Society of Japan

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    Venue:Sapporo  

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  • Estimation of Consumers' Acceptable Price with Continuous Response Model of Item Response Theory

    2014.11 

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    Presentation type:Oral presentation (general)  

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  • Brand Diagnosis by the Bias of the Association Time and Reaction

    The 94th Conference ofJapan Institute of Marketing Science  2013.12 

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  • マーケティング・リサーチからみたブランド測定の課題と提案

    マーケティング・カンファレンス2014  2013.11 

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  • ブランド連想の維持と連想ネットワークの構造上の特徴

    第47回消費者行動研究コンファレンス  2013.10 

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  • Proposal of the Method to Measure Brand Awareness

    The 41th annual meeting of the Behaviormetric Society of Japan  2013.9  The Behaviormetric Society of Japan

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    Presentation type:Oral presentation (general)  

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  • Understanding of Changes of Brand Association Network with Time

    The 46th Conference of Japan Association for Consumer Studies  2013.6 

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  • Collection of Brand Association in Accordance with Each Purpose for Brand Management

    The 39 th annual meeting of the Behaviormetric Society of Japan  2011.9  The Behaviormetric Society of Japan

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  • Characteristics of the Time-Series change of Brand Association Network

    The 42th Conference of Japan Association for Consumer Studies  2011.6 

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  • 効率的な定性調査手法の提案~被験者記入式定性調査手法とネットリサーチへの適応

    上田雅夫

    日本行動計量学会第35回大会  2007.9 

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    Language:Japanese   Presentation type:Oral presentation (general)  

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  • Measuremt of Brand Purchase Intention by Using Reaction Time

    2015.12  Japan Institute of Marketing Science

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  • Proposal of the Method to Measure Consumers’ Acceptable Price with Considering the Process of Decision‐Making International conference

    Masao Ueda

    Informs Annual Meeting 2015  2015.11  Informs

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    Language:English   Presentation type:Oral presentation (general)  

    Venue:Philadelphia  

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  • 新商品の成功に関わる商品名の効果に関する検証

    日本マーケティング学会 カンファレンス2024  2024.10 

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  • 0過剰ガンマ分布による超優良顧客の管理指標の検討とその意義

    上田雅夫

    第69回消費者行動研究コンファレンス  2024.12 

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    Language:Japanese   Presentation type:Oral presentation (general)  

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  • 主観的厚生に影響を与える日常の習慣

    上田 雅夫, 白石 小百合, 中谷 朋昭

    2023.8 

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  • 個人の幸福の変化に関する要因

    上田雅夫, 白石小百合

    日本行動計量学会第52回大会  2024.9 

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  • 長期のパネルデータを用いた個人の主観的厚生の安定性の検証

    井出千愛, 白石小百合, 上田雅夫

    行動経済学会第18回大会  2024.12 

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Research Projects

  • ソーシャル・メディアを用いた情報発信における効率的な管理手法に関する検討

    2023.10 - 2024.9

    公益財団法人 野村マネジメント・スクール 

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    Authorship:Principal investigator 

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  • 裾の厚い確率分布による超優良顧客の管理指標の検討

    2023.4 - 2024.3

    一般社団法人日本リテンションマーケティング協会 

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    Authorship:Principal investigator 

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  • A Study on Individual Differences in Subjective Well-being and Changes over Time

    Grant number:22K01748  2022.4 - 2025.3

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research (C)  Grant-in-Aid for Scientific Research (C)

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    Grant amount:\4030000 ( Direct Cost: \3100000 、 Indirect Cost:\930000 )

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  • 購買履歴データと健康情報の融合による疫学的消費行動モデルの構築

    Grant number:21K18227  2021.7 - 2024.3

    日本学術振興会  科学研究費助成事業 挑戦的研究(開拓)  挑戦的研究(開拓)

    中谷 朋昭, 阿部 貴行, 田栗 正隆, 上田 雅夫, 小泉 和之, 岩崎 学

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    Grant amount:\25870000 ( Direct Cost: \19900000 、 Indirect Cost:\5970000 )

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  • データ駆動型社会の基盤をなす次世代実験計画技術の開発と実証的評価

    Grant number:21H04600  2021.4 - 2025.3

    日本学術振興会  科学研究費助成事業 基盤研究(A)  基盤研究(A)

    後藤 正幸, 上田 雅夫, 守口 剛, 関 庸一, 鈴木 秀男, 生田目 崇, 小林 学, 三川 健太, 山下 遥

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    Grant amount:\41860000 ( Direct Cost: \32200000 、 Indirect Cost:\9660000 )

    本研究では,以下の3つの基本的課題を設定し,研究に取り組んでいる.
    1.(機械学習モデルの設計) 施策の最適化を目的とした実験計画のために,「機械学習に基づく統計モデル」を「追加実験によるデータ取得」と「施策の最適化」に結び付けるプロセスの全体像,及び,効果的な実験計画を可能とする機械学習モデルを如何に設計すべきか.
    2.(効率的な追加実験の計画手法構築)大規模ログデータから構築された統計モデルが与えられたもとで,最小限の回数で最適施策の探索に結び付ける,効率的な追加実験を如何に計画することが可能か.
    3.(施策の最適化と因果効果の評価手法の開発) 大規模データから得られた統計モデルと実験データを統合し,どのような方法で施策を最適化するか.加えて,共変量やデータの選択バイアスを考慮し,施策の因果効果を精度よく評価することが可能であるか.
    2021年度は,これらの研究課題に関連する領域として,“能動学習”,“ベイズ最適化”,“バンディッドアルゴリズム”,“因果推論”の領域の体系的整理を行う研究会を定期開催し,その全体的な体系の明確化と問題点の整理を行った.これと並行して,「1.機械学習モデルの設計」については継続して企業の実問題を対象として研究を行い,様々な具体的事例に対して機械学習モデルを活用する技術基盤についての成果を得ている.また,「2.効率的な追加実験の計画手法構築」については,過去の大量のログデータを学習した機械学習モデルを活用して,いくつかの仮説のもとにA/Bテストを計画し,実ビジネスにおいて実証的に検証する試みを行った.今のところ,完全に再現性のある結果は得られていないが,様々なノウハウが蓄積されたため,今後の研究に結びつける予定である.「3.施策の最適化と因果効果の評価手法の開発」については,ベイズ最適化と因果推論モデルの実活用と改良を行い,一定の成果を得ている.

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  • Research on the Possibility of Corporate Evaluation by Using Consumer's Subjective Well-being

    Grant number:19K01948  2019.4 - 2022.3

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research  Grant-in-Aid for Scientific Research (C)

    Ueda Masao

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    Grant type:Competitive

    Grant amount:\4420000

    Consumers’ perception of subjective well-being (SWB) can be used as an indicator to manage firms’ behavior in the era of Sustainable Development Goals. The data analysis revealed a positive relationship between SWB generated by a firm and consumers’ behavior (e.g., whether to purchase, points purchased, word-of-mouth, recommendations, and web search). The relationship was also confirmed for non-users that do not purchase a firm’s goods or services. To confirm the temporal stability of consumers’ SWB, the data analyzed were obtained at two time points. According to results, word-of-mouth elicited a stable effect. Overall, the results demonstrate the validity of using consumers’ SWB as an indicator for evaluating a company’s sustainable activities.

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  • 食生活の変化とフードサービス業の未来

    2003.4 - 2004.3

    日本フードサービス学会  研究助成 

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    Authorship:Principal investigator 

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