学术任职

• 现任：长聘教授（信息系统方向)，博士生导师，永利集团88304官网在线登录，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

• 副编辑（Associate Editor), Decision Support Systems (DSS), 2014年至2018年

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（2019–2025):  美国亚利桑那州立大学(Arizona State University)凯瑞商学院（即将入职），助理教授

• 高艺（2018–2023):  美国德州理工大学(Texas Tech University)罗尔斯商学院，助理教授

• 王哲（2018–2023):  香港城市大学(City University of Hong Kong)商学院，助理教授

学会与会议任职

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

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

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

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

• 导师，亚太信息系统大会（PACIS）青年教师论坛，2024年

• 导师，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

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

• Economics of Information Systems 

• Interface between Information Systems (IS) and Operations Management (OM)

• Digital Platforms

• Artificial Intelligence (AI)

• E-commerce

• Digital Advertising

• Online Learning

• Data Privacy

• Health IT

• Blockchain

• Fintech

部分期刊(UTD-24)论文

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

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

• Z. Wang, H. Guo, and D. Liu, "Economics of Analytics Services on a Marketplace Platform,”Management Information Systems Quarterly (MISQ), Forthcoming.

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

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

• D. Liu, S. Kumar, and V. Mookerjee, "Flexible and Committed Advertising Contracts in Electronic Retailing," Information Systems Research (ISR), Vol. 31, No. 2, June 2020, pp. 323-339.
  

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

• D.  Liu, Y. Tan, and V. Mookerjee, "When Ignorance Can be Bliss:  Organizational Structure and Coordination in Electronic Retailing," Information Systems Research (ISR), Vol. 29, No. 1, March 2018, pp. 70-83.
  

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

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

• D. Liu, S. Kumar, and V. Mookerjee, "Advertising Strategies in Electronic Retailing: A Differential Game Approach," Information Systems Research (ISR), Vol. 23, No. 3, September 2012, pp. 903-917.

• D. Liu, S. Sarkar, and C. Sriskandarajah, "Resource Allocation Policies for Personalization in Content Delivery Sites," Information Systems Research (ISR), Vol. 21, No.2, June 2010, pp. 227-248.

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