Chen Liang

Assistant Professor, Dean's Ackerman Scholar

Operations and Information Management

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RESEARCH INTERESTS

Topics: Future of Work, Artificial Intelligence, Bias and Discrimination, Platform Economy, FinTech
Methodologies: Econometrics, Field and Lab Experiments, Machine Learning

REFEREED JOURNAL PUBLICATIONS

1. Chen Liang, Yili Hong, and Bin Gu. 2024. Monitoring and the Cold Start Problem in Digital Platforms: Theory and Evidence from Online Labor Market. Information Systems Research, Forthcoming.
2. Chen Liang, Ji Wu, and Xinxin Li. 2023. Do ‘Likes’ in a Brand Community Always Make You Buy More? Information Systems Research, Forthcoming.
3. Jingbo Hou*, Chen Liang*, Pei-yu Chen*, and Bin Gu. 2024. Can Telework Adjustment Help Reduce Disaster-Induced Gender Gap in Job Market Outcomes? Information Systems Research, Forthcoming. (* These authors contributed equally)
4. Jingbo Hou, Chen Liang, and Pei-yu Chen. 2024. How Socially Perceived Threat Shapes Preventive Behavior in the Context of COVID-19. Production and Operations Management, 10591478241231864.
5. Chen Liang, Yili Hong, and Bin Gu. 2024. Monitoring and Home Bias in Global Hiring: Evidence from an Online Labor Platform. Information Systems Research, Forthcoming.
6. Jing Peng, and Chen Liang. 2023. On the Differences Between View-Based and Purchase-Based Recommender Systems. MIS Quarterly, 47(2), 875-900.
7. Chen Liang, Yili Hong, Pei-yu Chen, and Benjamin Shao. 2022. The Screening Role of Design Parameters for Service Procurement Auctions in Online Service Outsourcing Platforms. Information Systems Research, 33(4), 1324-1343.
8. Chen Liang, Jing Peng, Yili Hong, and Bin Gu. 2022. The Hidden Costs and Benefits of Monitoring in the Gig Economy. Information Systems Research, 34(1), 297-318.
9. Ziru Li, Chen Liang, Yili Hong, and Zhongju Zhang (Equal contribution). 2021. How Do On-demand Ridesharing Services Affect Traffic Congestion? Evidence from Uber Entry. Production and Operations Management, 31(1), 239-258.
10. Chen Liang, Zhan (Michael) Shi, and Raghu Santanam. 2019. The Spillover of Spotlight: Platform Recommendation in the Mobile App Market. Information Systems Research, 30(4), 1296-1318.
11. Ni Huang, Bin Gu, Gord Burtch, Yili Hong, Chen Liang, Kanliang Wang, Dongpu Fu, Bo Yang. 2019. Motivating User-Generated Content with Performance Feedback: Evidence from Randomized Field Experiments. Management Science, 65(1), 327–345.

SELECTED WORKING PAPERS

1. Tong Shen, Chen Liang, Jing Peng, Mengcheng Guan, and Jianbin Li. Breaking the Stigma: The Role of AI in Drug Purchases for Sensitive Health Conditions.
2. Chen Liang, Murat Tunç, and Gordon Burtch. Market Punishment of Strategic Generosity: An Empirical Examination of NFT Charity Auctions.
3. Chen Liang, Jing Peng, Zhuoyan Li, and Ming Yin. The Valuation Paradox of Generative AI: Evidence from Gig Workers.
4. Ming Gao, Chen Liang, Tong Shen, and Zhou Zhou. Breaking Language Barriers: A Field Experiment on the Impact of Machine Translation on a Global Matchmaking Platform.
5. Tong Shen, Chen Liang, Xinxin Li, and Chunxiao Li. Beyond Automation: The Impact of Robotaxi Services on Ride-Hailing Consumer Behavior.
6. Tong Shen, Chen Liang, Chunxiao Li, Shuliu Yuan, and Bin Gu. Overcoming Algorithmic Exclusion: Evidence from A Large-Scale Randomized Field Experiment on Human versus AI Decision-Making.

AWARDS & HONORS

Management Science Distinguished Service Award, 2024

Dean’s Ackerman Scholar, UConn School of Business, 2024

Best Paper Nominee, China Summer Workshop on Information Management (CSWIM), 2024

ACM CHI (Conference on Human Factors in Computing Systems, a premier conference on HCI) Best Paper Honorable Mention Award, 2024

AIS Early Career Award, 2023

ISS Gordon B. Davis Young Scholar Award, 2023

INFORMS eBusiness Best Paper Award Runner-up, 2023

Best Research Paper Award, UConn School of Business, 2023
Research Excellence Program Fund, University of Connecticut, 2022
Best Paper in Track Award (IS and the Future of Work Track), International Conference on Information Systems, 2021
INFORMS eBusiness Best Paper Award Runner-up, 2021

Best Reviewer Award, International Conference on Information Systems (ICIS), 2019
Best Paper Nominee, Conference on Information Systems and Technology (CIST), 2019
NSF Doctoral Dissertation Research Improvement Grant (DDRIG), 2018

Best Paper Award, Workshop on Information Systems and Economics (WISE), 2018
Best Paper Award, China Summer Workshop on Information Management (CSWIM), 2018
Best Paper Award, Hawaii International Conference on System Sciences (HICSS), 2017
Best Paper Nominee, Hawaii International Conference on System Sciences (HICSS), 2017
Best Paper Nominee, Pacific Asia Conference on Information Systems (PACIS), 2018
Outstanding Research Award, ASU, 2018
Outstanding Research Award, Department of Information Systems, W. P. Carey School of Business, 2018