TOHOKU UNIVERSITY Researchers

Details of the Researcher

Home

日本語 English

Yinxing Li

Section

Graduate School of Economics and Management

Job title

Associate Professor

Degree

博士（経済学）（東北大学）
修士（経営学）（東北大学）

researchmap

https://researchmap.jp/yinxingli

J-GLOBAL ID

201901005633916486

Research History 3

2022/10 - Present

Tohoku University　Graduate School of Economics and Management
2022/04 - 2022/09

Tohoku University　Center for Data-driven Science and Artificial Intelligence
2019/04 - 2022/03

Tohoku University　Institution of Economics and Management　assistant professor

Education 3

Tohoku University　Institution of Economics and Management　Management

2016/04 - 2019/03
Tohoku University　Economics　Management

2014/04 - 2016/03
Beijing Jiaotong University　Economics ans Management　Economics

2009/09 - 2013/06

Professional Memberships 1

日本マーケティング・サイエンス学会

2016/06 - Present

Research Interests 4

Nature language Process
Machine learning
Bayesian Statistics
Marketing Research

Research Areas 2

Informatics / Statistical science / Machine Learning
Humanities & social sciences / Business administration / Marketing Research

Awards 4

東北大学総長賞

2019/03　Tohoku University
東北大学藤野先生記念奨励賞

2018/09
Kick-off International Symposium of International Graduate Program for Data Science

2018/02　最優秀賞
「新しい経済産業指標開発コンテスト」

2017/02　「新しい経済産業指標開発コンテスト」　優秀賞

Papers 11

Social media effects on multi-generational diffusion of information technology products Peer-reviewed

Yinxing Li, Nobuhiko Terui

Electronic Commerce Research　1-28　2025/02/17

DOI： 10.1007/s10660-025-09950-w 　
Learning Random Numbers to Realize Appendable Memory System for Artificial Intelligence to Acquire New Knowledge after Deployment Peer-reviewed

Kubota A., Kodate S., Li Y., Lin F., Fukuda H., Baladram MS, Yamada KD

Interdisciplinary Information Sciences　2024/12
Embedding Marketing Environment with Customer Heterogeneity for Store-Level Scanner Data Invited Peer-reviewed

Yinxing Li, Nobuhiko Terui

SN Computer Science　4　(4)　2023/04/29
Publisher: Springer Science and Business Media LLC
DOI： 10.1007/s42979-023-01795-0 　

eISSN： 2661-8907
Modeling Customer Satisfaction’s Impact on Loyalty: Insights for Customer-Centric Resource Allocation Peer-reviewed

Yinxing Li, Aijing Xing, Nobuhiko Terui

Service Science　2023/01/19
Publisher: Institute for Operations Research and the Management Sciences (INFORMS)
DOI： 10.1287/serv.2022.0313 　

ISSN： 2164-3962

eISSN： 2164-3970

More details Close

This study explores the nonlinear modeling of customer satisfaction (CS) and loyalty for resource allocation strategies that promote efficient loyalty programs. We first introduce global models to reflect several important nonlinear characteristics, particularly (a) a saturation-attainable limit of effectiveness, (b) nonconstant marginal returns, and (c) asymmetric responses between satisfied and dissatisfied customers. In the proposed models, we put forth the joint use of two types of mixture models to deal with different levels of heterogeneity. Based on the model best supported among alternatives in the literature, we targeted customers using expected incremental loyalty, which is derived from the joint use of an estimated response curve of loyalty to satisfaction and an empirical distribution of CS scores. Then, we evaluate the efficiency of loyalty programs under the assumption of full and limited access to customers and subsequently derive managerial implications. For instance, through a counterfactual simulation of the models for the three industries, we find that improving the perceived quality in the mobile communication industry may have a greater effect on loyalty than in the hotel and convenience store industries because of its higher switching cost. Funding: N. Terui acknowledges funding by JSPS KAKENHI [Grants (A)17H01001 and (A)22H00056]. Supplemental Material: The online appendix is available at https://doi.org/10.1287/serv.2022.0313 .
Product Embedding for Large-Scale Disaggregated Sales Data Peer-reviewed

Li, Y, Terui, N

In Proceedings of the 13th International Joint Conference on Knowledge Discovery　1　69-75　2021/11
Publisher: SCITEPRESS - Science and Technology Publications
DOI： 10.5220/0010677500003064 　
Social Ties and User Contribution: Evidence from Twitter Peer-reviewed

Deanna W, Li, Y, Yang, H

Global Marketing Conference Proceedings　1470-1471　2020/05
Measuring large-scale market responses and forecasting aggregated sales: Regression for sparse high-dimensional data Peer-reviewed

Terui, N., Li, Y.

Journal of Forecasting　38　(5)　440-458　2019/08

DOI： 10.1002/for.2574 　

ISSN： 1099-131X 0277-6693
Social Media and the Diffusion of an Information Technology Product Peer-reviewed

Li, Y, Terui, N

Knowledge and Systems Sciences　949　1-26　2018/11
Social Media and the Diffusion of an Information Technology Product for multi-generations Peer-reviewed

Li, Y, Terui, N

Proceedings of Informs2018　1-6　2018/06
大規模集計POSデータの高次元スパースモデリング Peer-reviewed

Yinxing Li, Nobuhiko Terui

統計数理　66　(2)　235-247　2018/04
Sales forecasting model using word-of-mouth on Twitter and empirical analysis Peer-reviewed

Mirai Igarashi, Yinxing Li, Tsukasa Ishigaki, Nobuhiko Terui

流通情報　49　(6)　57-70　2018
Publisher:
ISSN： 0389-7672

Show all ︎Show first 5

Misc. 1

Measuring Large-Scale Market Responses from Aggregated Sales - Regression Model for High-Dimensional Sparse Data -

TERUI Nobuhiko, Li Yinxing

DSSR Discussion Papers　(66)　1-31　2017/02
Publisher: 東北大学大学院経済学研究科

Books and Other Publications 2

ニューラルネットワーク入門 (探検データサイエンス)

李銀星, 山田和範

共立出版　2024/06/05

ISBN: 4320125223
経済経営のデータサイエンス (探検データサイエンス)

石垣司, 植松良公, 千木良弘朗, 照井伸彦, 松田安昌, 李銀星

共立出版　2022/05/11

ISBN: 4320125193

Presentations 21

製品ライン拡張に伴う購買層変化シミュレーションのためのマーケティング生成AI Invited

李銀星, 石垣司

第19回日本統計学会春季集会　2025/03/08
深層学習による広域風力発電予測手法の開発について

宍戸浩司, 赤塚重昭, 松田安昌, 李銀星

令和6年電気学会電力・エネルギー部門大会　2024/09/04
Receipt Embedding and Shopping Mission Segmentation

YINXING LI, Nobuhiko Terui

2024 ISMS Marketing Science Conference　2024/06/28
Segmentation of Purchase Purpose by Receipt Embedding in ID-POS Data

Yinxing Li, Nobuhiko Terui

2024/03/25
変数重要度つきLSTMによる保険データ分析 Invited

久保裕介, 福本信吾, 李銀星, 松田安昌

統計関連学会連合　2023/09/04
Lstm-based Conditional VAE For Big-scale Panel Data

Yinxing Li, Yasumasa Matsuda, Yusuke Kubo, Shingo Fukumoto, Kanata Hirano, Katsuhisa Masuda

2023ISMS Marketing Science Conference　2023/06/08
Content Diffusion on Social Media: The Roles of Emerging Ties and User Interest International-presentation

Deanna W, Li Y

30th Annual Conference on PBFEAM　2022/05/01
Product Embedding for The Large-scale Disaggregated Sales Data International-presentation

Li Yinxing

KDIR 2021　2021/10
Social Ties and User Contribution: Evidence from Twitter International-presentation

Li Yinxing

2020 Global Marketing Conference　2020/11/01
Product Embedding for The Large-scale Disaggregated Sales Data

Li Yinxing

2020 ISMS Marketing Science Conference　2020/06/01
Multi-generation Diffusion Model with Dynamic Social Media Effect

Li Yinxing

2019 ISMS Marketing Science Conference　2019/06
POSデータの高次元スパースモデリングによる大規模市場反応測定

Li Yinxing

日本マーケティング・サイエンス学会105回大会　2019/06
Social Media and Diffusion for Information Technology Product

Li Yinxing

Knowledge and Systems Sciences 2018　2018/11
ソーシャルメディアの新製品普及アクセレーション効果

Li Yinxing

2018年度統計関連学会連合大会　2018/09
Social Media and Diffusion for Information Technology Product for multi-generations

Li Yinxing

2018 INFORMS International Conference　2018/06
Social Media and Diffusion for Information Technology Product for multi-generations

Li Yinxing

Kick-off International Symposium of International Graduate Program for Data Science　2018/02
Social Media and Diffusion for Information Technology Product

Li Yinxing

International Workshop on Bayesian Econometric Analysis　2017/11
ソーシャルメディアと新製品普及モデル

Li Yinxing

日本マーケティングサイエンス学会　2017/06
ソーシャルメディアを用いた経済指標開発

Li Yinxing

新しい経済産業指標開発コンテスト　2017/02
Social Media and Diffusion for Information Technology Product

Li Yinxing

International Workshop on Marketing Science and Service Research　2016/12
Social Media and Diffusion for Information Technology Product

Li Yinxing

統計関連学会連合大会　2016/09

Show all Show first 5

Research Projects 6

Large Market Modeling using Deep Learning

YINXING LI

Offer Organization: Japan Society for the Promotion of Science

System: Grants-in-Aid for Scientific Research

Category: Grant-in-Aid for Early-Career Scientists

Institution: Tohoku University

2024/04 - 2028/03
多様な情報の融合と大規模異質性モデリングによるマーケティング意思決定の組織的研究

照井伸彦, 佐藤忠彦, ウィラワンドニ・ダハナ, 伴正隆, 石垣司, 長谷川翔平, 李銀星, 五十嵐未来

Offer Organization: 日本学術振興会

System: 科学研究費助成事業基盤研究(A)

Category: 基盤研究(A)

Institution: 東京理科大学

2022/04/01 - 2027/03/31
Understanding of Consumption Context Using User Generated Big Data

Offer Organization: Japan Society for the Promotion of Science

System: Grants-in-Aid for Scientific Research

Category: Grant-in-Aid for Scientific Research (B)

Institution: Tohoku University

2023/04 - 2027/03
Modeling of large scale spatio-temporal data and its empirical applications in social science

Offer Organization: Japan Society for the Promotion of Science

System: Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research (B)

Category: Grant-in-Aid for Scientific Research (B)

Institution: Tohoku University

2021/04/01 - 2026/03/31
Evolution of marketing model and theory by integrating data, theory and analytical method

Terui Nobuhiko

Offer Organization: Japan Society for the Promotion of Science

System: Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research (A)

Category: Grant-in-Aid for Scientific Research (A)

Institution: Tohoku University

2017/04/01 - 2022/03/31

More details Close

Acquisition of knowledge through the integration of theories and analytical methods across disciplines is required in modern society. By sharing this idea, the research on incorporating machine learning methods into marketing models is recognized as urgent issues to fill the gap between practice and academic research in marketing. We have systematically conducted research on developing models with the social media information and subject’s heterogeneity. The research results were published through academic papers and conference presentations. Specifically, there are a total of 38 journal articles, of which peer-reviewed articles. There were 33 papers and 4 internationally co-authored papers, and a total of 36 presentations were made at academic conferences, of which 9 were obtained at international conferences.
The leapfrog effect of social media for new technology product

Yinxing Li

Offer Organization: Japan Society for the Promotion of Science

System: Grants-in-Aid for Scientific Research Grant-in-Aid for Research Activity Start-up

Category: Grant-in-Aid for Research Activity Start-up

Institution: Tohoku University

2019/08/30 - 2020/03/31

More details Close

1. By involving the hierarchical structure in the Bass Model, it is possible to make prediction before the new product launch to the market. 2. As we incorporate the Dynamic Topic Model, which is one of the famous algorithms in machine learning, we not only improved the precision of the forecasting, but also improves the interpretability of the model. Rather than generally explain the role of topic model, we find that social media information can have opposite effect before and after the product released. 3. In empirical application, we also proved the social media accelerate the leap frog effect.

Show all Show first 5

Teaching Experience 6

Econometrics　Tohoku University
Applied Data Science　Tohoku University
Applied Data Science　Tohoku University
トレーニングキャンプII（Python)　東北大学情報科学研究科
トレーニングキャンプI（Python)　東北大学情報科学研究科
スキルアップトレーニング(Python)　東北大学情報科学研究科

Show all Show first 5