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刘登攀

管理科学与工程系    教授

电话:(86)(10)62797759

办公室:李华楼B427

邮箱:liudp@sem.tsinghua.edu.cn

教育经历

美国得克萨斯大学达拉斯分校  (University of Texas at Dallas), Ph.D. , 2006

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工作经历

学术任职

  • 现任:长聘教授(信息系统方向),博士生导师,清华大学经济管理学院,2017年至今

  • 曾任:副教授(信息系统方向;终身教职), 美国爱荷华州立大学(Iowa State University)商学院

 

期刊编辑经历

  • 高级编辑(Senior Editor), Department of Disruptive Technologies and Operations Management, Production and Operations Management (UTD-24 期刊), 2021年至今

  • 高级编辑(Senior Editor), Department of POM-Information System Interface, Production and Operations Management (UTD-24 期刊), 2018年至今


博士生指导经历(作为论文主要导师;学生毕业去向如下)

  • 谷美霖:  美国亚利桑那州立大学(Arizona State University)凯瑞商学院,助理教授,2025

  • 高艺:  美国得克萨斯理工大学(Texas Tech University)罗尔斯商学院,助理教授,2023

  • 王哲:  香港城市大学(City University of Hong Kong)商学院,助理教授,2023


学会与会议任职

  • 分会联合主席(track co-chair), 国际信息系统会议(ICIS),2023年

  • 分会联合主席(track co-chair), 生产与运作管理学会(POMS)年会,2018年,2023–2025年

  • 分会联合主席(track-co-chair), 决策科学学会(DSI)年会,2018年

  • 导师(mentor),中国信息系统经济学理论研讨会(CWEIST)博士生论坛,2025年

  • 导师(mentor),亚太信息系统大会(PACIS)青年教师论坛,2024年

  • 导师(mentor),亚太信息系统大会(PACIS)博士生论坛,2023年

  • 中国信息经济学会学术委员会委员,2020年至今

  • 中国信息经济学会理事会常务理事,2020年至今


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讲授课程

数据挖掘算法与应用、数据分析战略与实践、商务分析概论、商务分析整合实践

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研究领域

  • 信息系统经济学(Economics of Information Systems) 

  • 数字平台(Digital Platforms)

  • 人工智能(AI)

  • 金融科技(Fintech)

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学术成果

部分期刊论文 (UTD-24期刊)

  • Y. Gao, A. Mehra, and D. Liu (2026)“More Can Be Less: Economics of Answer Viewing on Paid Q&A Platforms,”Information Systems Research (ISR), https://doi.org/10.1287/isre.2022.0641

  • Y. Gao, M. Gu, and D. Liu (2025) "Behind Privacy Labels: Data Tracking and Advertising Competition on App Platforms," Management Information Systems Quarterly (MISQ) 49(4):1595-1626.

  • M. Gu, D. Liu, and S. Kumar (2025) "Navigating Platform-Led Affiliate Marketing: Implications for Content Creation and Platform Profitability," Information Systems Research (ISR) 36(2):802-827.

  • Y. Gao, D. Liu, and S. Kumar (2025) "Clocking In or Not? Optimal Design of a Novel Gamified Business Model in Online Learning," Information Systems Research (ISR) 49(4):1595-1626.

  • Z. Wang, H. Guo, and D. Liu (2024) "Economics of Analytics Services on a Marketplace Platform,”Management Information Systems Quarterly (MISQ) 48(2):775-824.

  • S. Luo, R. Mookerjee, and D. Liu (2021) "The Effects of Auction Mechanisms and Social Characteristics on Microloan Performance," Production and Operations Management (POM) 30(2):311-329.

  • D. Liu, S. Kumar, and V. Mookerjee (2020) "Flexible and Committed Advertising Contracts in Electronic Retailing," Information Systems Research (ISR) 31(2):323-339.

  • D. Liu and V. Mookerjee (2018) "Advertising Competition on the Internet: Operational and Strategic Considerations," Production and Operations Management (POM) 27(5):884-901.

  • D.  Liu, Y. Tan, and V. Mookerjee (2018) "When Ignorance Can be Bliss:  Organizational Structure and Coordination in Electronic Retailing," Information Systems Research (ISR) 29(1):70-83.

  • H.  Feng, Z. Jiang, and D. Liu (2018) "Quality, Pricing, and Release Time:  Optimal Market Entry Strategy for New Software-as-a-Service Vendors," Management Information Systems Quarterly (MISQ) 42(1):333-353.

  • Y.  Ceran, M. Davande, D. Liu, and V. Mookerjee (2014) "Optimal Software Reuse in  Incremental Software Development: A Transfer Pricing Approach," Management Science (MS) 60(3):541-559.

  • D. Liu, S. Kumar, and V. Mookerjee (2012) "Advertising Strategies in Electronic Retailing: A Differential Game Approach," Information Systems Research (ISR) 23(3):903-917.

  • D. Liu, S. Sarkar, and C. Sriskandarajah (2010) "Resource Allocation Policies for Personalization in Content Delivery Sites," Information Systems Research (ISR) 21(2):227-248.

  • D.  Liu, M. Dawande, and V. Mookerjee (2007) "Value-Driven Creation of  Functionality in Software Projects: Optimal Sequencing and Reuse," Production and Operations Management (POM) 16(3):381-399.


部分顶会论文


  • S. Qian, A. Mehra, and D. Liu, "The Economics of Fine-tuning for Large-Scale AI Models," Workshop on Information Systems and Economics (WISE), Hyderabad, India, December 13-15, 2023.

      • Best Student Paper Award


  • Y. Zhang, M. Gu, P. Chen, and D. Liu, "Robbing Peter to Pay Paul: An Economic Analysis of Platforms' Acquisition of Original Content," Workshop on Information Systems and Economics (WISE), Hyderabad, India, December 13-15, 2023.

      • Best Paper Nominee

      • Best Student Paper Nominee


  • Y. Gao, P. Chen, and D. Liu, "Can Hiding (Dis)like Help? Examine the Impact of Performance Metrics Disclosure on Social Media Platforms,"Workshop on Information Technologies and Systems (WITS), Hyderabad, India, December 13-15, 2023.

      • Best Paper Nominee


  • Z. Liu, X. Li, and D. Liu,“Shooting Itself in the Foot or Fighting Fire with Fire? An Economic Analysis of Built-in Ad Blockers,”Workshop on Information Systems and Economics (WISE), Copenhagen, Denmark, December 14-16, 2022.

      • Best Student Paper Runner-Up Award


  • D. Zou, M. Gu, and D. Liu,“When Ownership and Copyright Are Separated: Economics of Non-Fungible Token (NFT) Marketplaces," Workshop on Information Technologies and Systems (WITS), Copenhagen, Denmark, December 14-16, 2022.

      • Best Workshop Theme Paper Award

      • Best Paper Nominee

  • Z. Wang and D. Liu,“Economic Analysis of Online Subsidiary Healthcare System: A Bayesian Persuasion Approach."

      • Finalist for the 2021 INFORMS Service Science Best Student Paper Award


  • Z. Wang, S. Kumar, and D. Liu,“On Platform's Incentive to Filter Fake Reviews: A Game-Theoretic Model,”International Conference on Information Systems (ICIS), December 13-16, 2020.

      • Best Paper Award in Track

      • Best Student Paper Award in Track

      • Best Conference Paper Nominee

      • Best Student Paper Nominee


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