Academic Work Experience

• 2017-present  Full Professor with Tenure, Tsinghua University

• 2015-2018      Dean's Faculty Fellow in Information Systems (2017-2018: on leave), Iowa State University
  

• 2014-2018      Associate Professor with Tenure (2017-2018: on leave), Iowa State University
  

• 2012-2014      Assistant Professor, Iowa State University
  

• 2006-2012      Assistant Professor (tenure and promotion application was approved in March 2012), University of Alabama in Huntsville
  

Editorial Experience

• Senior Editor, Department of Disruptive Technologies and Operations Management, Production and Operations Management, 2021-present

• Senior Editor, Department of POM-Information System Interface, Production and Operations Management, 2018-present

• Associate Editor, Decision Support Systems (DSS), 2014-2018

• Track Co-chair, International Conference on Information Systems (ICIS), 2023

• Track Co-chair, POMS Annual Meeting, 2018, 2022, 2023, 2024

• Track Co-chair, DSI Annual Meeting, Chicago, IL, USA, 2018

Ph.D. Student Supervision Experience (as Dissertation Chairs）

• Initial Placements
  

• Gao, Yi：         Assistant Professor,  Texas Tech University, 2023
  

• Wang, Zhe:     Assistant Professor,  City University of Hong Kong, 2023

  
  

• Data Mining Algorithms and Applications

• Data Analysis Strategy and Practice

• Introduction to Business Analytics

• Integrated Business Analytics and Practices

• Digital Platforms

• Artificial Intelligence (AI) and Data Analytics

• Economics of Information Systems (E-commerce, Digital Advertising, Online Learning, Data Privacy, Health IT, Blockchain, and Fintech) 

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

  
  

Selected Journal Papers 

M. Gu, D. Liu, and S. Kumar, "Turning Content Creators into Partners: Economics of Platform-Led Affiliate Marketing," Information Systems Research (ISR), Conditionally accepted.

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.

D. Liu, S. Sarkar, and C. Sriskandarajah,“Who's Next? Scheduling Personalization Services with Variable Service Times,”ACM Transactions on Management Information Systems（TMIS）, Vol. 6, No. 2, June 2015, pp. 1-22.

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. Dey, A. Lahiri, and D. Liu, "Consumer Learning and Time-locked Trials of Software Products," Journal of Management Information Systems (JMIS), Vol. 30, No.2, Fall 2013, pp. 239-267.

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. Dey, V. Mookerjee, and D. Liu, "Efficient Techniques for Online Record Linkage," IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol. 23, No. 3, March 2011, pp. 373-387.

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.

Selected Conference Papers

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