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Sato Toshikuni  佐藤 平国

ORCIDConnect your ORCID iD *help
Researcher Number 10878804
Other IDs
Affiliation (Current) 2025: 明治大学, 商学部, 専任准教授
Affiliation (based on the past Project Information) *help 2022 – 2023: 明治大学, 商学部, 専任講師
2020 – 2021: 石巻専修大学, 経営学部, 助教
Review Section/Research Field
Principal Investigator
Basic Section 07090:Commerce-related / 0107:Economics, business administration, and related fields
Keywords
Principal Investigator
機械学習 / テキスト分析 / マーケティング尺度 / 潜在変数モデル / ニューラルネットワーク / 識別性 / 消費者行動研究 / 罰則化法 / LDA / 顧客エンゲージメント … More / 心理測定尺度 / 識別可能性 / ベイズ推定 / 消費者行動 / 消費者心理 / 潜在的ディリクレ配分法 Less
  • Research Projects

    (2 results)
  • Research Products

    (17 results)
  •  罰則付き推定による潜在変数モデルの識別と消費者行動分析Principal Investigator

    • Principal Investigator
      佐藤 平国
    • Project Period (FY)
      2022 – 2025
    • Research Category
      Grant-in-Aid for Early-Career Scientists
    • Review Section
      Basic Section 07090:Commerce-related
    • Research Institution
      Meiji University
  •  Investigating the identifiability of machine learning and its application to consumer behavior analysisPrincipal Investigator

    • Principal Investigator
      Sato Toshikuni
    • Project Period (FY)
      2020 – 2021
    • Research Category
      Grant-in-Aid for Research Activity Start-up
    • Review Section
      0107:Economics, business administration, and related fields
    • Research Institution
      Ishinomaki Senshu University

All 2023 2022 2021 2020

All Journal Article Presentation

  • [Journal Article] Characteristics of Word-of-Mouth (WOM) by the Interaction Between Feedback Willingness and Incentivized WOM Willingness2023

    • Author(s)
      Kato Takumi、Sato Toshikuni
    • Journal Title

      Communications in Computer and Information Science

      Volume: 1935 Pages: 547-560

    • DOI

      10.1007/978-3-031-48858-0_43

    • ISBN
      9783031488573, 9783031488580
    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-22K13496
  • [Journal Article] EXPLORING THE REPLICATION OF CUSTOMER ENGAGEMENT MEASUREMENTS USING TEXT INFORMATION IN THE HOTEL INDUSTRY2023

    • Author(s)
      Sato Toshikuni
    • Journal Title

      2023 Global Marketing Conference at Seoul

      Volume: - Pages: 450-455

    • DOI

      10.15444/gmc2023.05.04.04

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-22K13496
  • [Journal Article] A Penalized Neural Network Model for Predicting Unobserved Scores of Construct Indicators and Reproducing Latent Scores of the Theoretical Constructs by Using Text Information2022

    • Author(s)
      Sato Toshikuni
    • Journal Title

      City, Society, and Digital Transformation. ICSS 2022. Lecture Notes in Operations Research.

      Volume: - Pages: 1-14

    • DOI

      10.1007/978-3-031-15644-1_1

    • ISBN
      9783031156434, 9783031156441
    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-22K13496
  • [Journal Article] A Penalized Neural Network Model for Predicting Unobserved Scores of Construct Indicators and Reproducing Latent Scores of the Theoretical Constructs by Using Text Information2022

    • Author(s)
      Sato Toshikuni
    • Journal Title

      SSRN Electronic Journal

      Volume: - Pages: 1-10

    • DOI

      10.2139/ssrn.4058970

    • Open Access
    • Data Source
      KAKENHI-PROJECT-20K22125
  • [Journal Article] Penalizing Neural Network and Autoencoder for the Analysis of Marketing Measurement Scales in Service Marketing Applications2021

    • Author(s)
      Toshikuni Sato
    • Journal Title

      AI and Analytics for Smart Cities and Service Systems. ICSS 2021. Lecture Notes in Operations Research

      Volume: - Pages: 31-42

    • DOI

      10.1007/978-3-030-90275-9_3

    • ISBN
      9783030902742, 9783030902759
    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-20K22125
  • [Journal Article] Bayesian Estimation for Identifiable Topic Models with Latent Dirichlet Allocation2020

    • Author(s)
      Sato Toshikuni
    • Journal Title

      SSRN Electronic Journal

      Volume: - Pages: 1-24

    • DOI

      10.2139/ssrn.3721769

    • Open Access
    • Data Source
      KAKENHI-PROJECT-20K22125
  • [Presentation] 顧客エンゲージメントの測定方法の再考2023

    • Author(s)
      佐藤 平国
    • Organizer
      JIMS ID-POSデータのマーケティングの活用研究部会
    • Data Source
      KAKENHI-PROJECT-22K13496
  • [Presentation] Exploring the Replication of Customer Engagement Measurements Using Text Information in the Hotel Industry2023

    • Author(s)
      Toshikuni Sato
    • Organizer
      2023 Global Marketing Conference at Seoul
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-22K13496
  • [Presentation] A Penalized Neural Network Model for Predicting Unobserved Scores of Construct Indicators and Reproducing Latent Scores of the Theoretical Constructs by Using Text Information2022

    • Author(s)
      Toshikuni Sato
    • Organizer
      2022 INFORMS Conference on Service Science
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-22K13496
  • [Presentation] テキストデータを利用したEサービス品質の測定と予測2022

    • Author(s)
      佐藤 平国
    • Organizer
      ID-POSデータのマーケティングの活用研究部会
    • Data Source
      KAKENHI-PROJECT-22K13496
  • [Presentation] テキストデータを利用したEサービス品質の測定と予測2022

    • Author(s)
      佐藤 平国
    • Organizer
      日本マーケティング・サイエンス学会 第112回研究大会
    • Data Source
      KAKENHI-PROJECT-22K13496
  • [Presentation] ベイズモデルの識別性の再考とマーケティング尺度の応用可能性2021

    • Author(s)
      佐藤平国
    • Organizer
      ID-POSデータのマーケティングの活用研究部会
    • Data Source
      KAKENHI-PROJECT-20K22125
  • [Presentation] Identification of Latent Dirichlet Allocation for Theoretical Construct Measurements with Marketing Scales2021

    • Author(s)
      Toshikuni Sato
    • Organizer
      2021 Frontiers in Service Conference
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-20K22125
  • [Presentation] マーケティング尺度を用いた測定モデルに対する罰則化法 -消費者心理の識別と予測への応用-2021

    • Author(s)
      佐藤平国
    • Organizer
      第63回消費者行動研究コンファレンス
    • Data Source
      KAKENHI-PROJECT-20K22125
  • [Presentation] Penalizing Neural Network and Autoencoder for the Analysis of Marketing Measurement Scales in Service Marketing Applications2021

    • Author(s)
      Toshikuni Sato
    • Organizer
      2021 INFORMS Virtual Conference on Service Science
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-20K22125
  • [Presentation] 消費者行動研究のための識別可能なLDAトピックモデル2020

    • Author(s)
      佐藤平国
    • Organizer
      第61回消費者行動研究コンファレンス(消費者行動研究学会)
    • Data Source
      KAKENHI-PROJECT-20K22125
  • [Presentation] 識別可能なLDAトピックモデルのベイズ推手法2020

    • Author(s)
      佐藤平国
    • Organizer
      2020年度統計関連学会連合大会
    • Data Source
      KAKENHI-PROJECT-20K22125

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