Che-Wei Liu
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Mail code: 4606Campus: Tempe
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Che-Wei Liu is an Associate Professor of Information Systems at the W. P. Carey School of Business, Arizona State University. His research interests include IT Labor, Mobile Health, Fintech, and Artificial Intelligence. Specifically, his research addresses the impact of digital technologies on users’ behaviors in areas such as mobile Health, IT labor market, stock market, or job interviews. His research has been accepted in premier journals such as Management Science (MS), MIS Quarterly (MISQ), Information Systems Research (ISR), Production and Operations Management (POM), Journal of Management Information Systems (JMIS), and Journal of Economic Behavior & Organization (JEBO).
His research has also been awarded the International Conference on Information Systems (ICIS) Best Paper runner-up and International Conference for Smart Health (ICSH) Best Paper Award runner-up. A student under his guidance earned a nomination for the Best Student Paper Award at Conference of Information Systems and Technology (CIST) 2023 for their joint work. His research efforts were acknowledged with the All-S.T.A.R. Fellowship and CIBER Ph.D. Research Award in 2017 (University of Maryland), the ODT Faculty Scholar Award from the Kelley School of Business (Indiana University) in 2021, and Information Systems Society (ISS) Gordon B. Davis Young Scholar Award in 2023.
His diverse collaborations with non-academic organizations highlight his dedication to applying academic research in practical settings. At AnueFund, he analyzed the effectiveness of robo-advisors during market fluctuations, providing valuable insights for investors. In partnership with Fotor, the world-leading digital photo creation, and AI image-generated platform, he explored various factors, including design changes, to understand their impact on user behaviors. His work with HRDA focused on the impact of AI on interview processes, while his analysis with Marathon World aimed at sustaining long-term healthy behaviors in users.
He completed his Ph.D. at the University of Maryland. Before joining ASU, he was a faculty member at the Kelley School of Business, Indiana University.
- PhD, University of Maryland, 2018
- MBA, National Tsing Hua University, 2007
IT Labor & IT Management, Emerging Technology (Fintech, Artificial Intelligence, and Platform), Healthcare IT
- Che-Wei Liu, Sunil Mithas, Yang Pan, and JJ Po-An Hsieh. (2024) Mobile Apps, Trading Behaviors, and Portfolio Performance: Evidence from a Quasi-Experiment in China. Information Systems Research
- Che-Wei Liu, Sunil Mithas, and Terrence Saldanha. (2024) Do Technology Resources Influence Income Mobility? The Role of Regional and Caste Spillovers from Computer Ownership. MIS Quarterly
- Che-Wei Liu, Sunil Mithas, and Terence Saldanha. (2024) Can Digital Skills Empower Disadvantaged Castes and Women? Evidence from India. Production and Operations Management
- Hung-Yue Suen, Kuo-En Hung, Che-Wei Liu, Yu-Sheng Su, and Han-Chih Fan. (2024) Artificial Intelligence Can Recognize Whether a Job Applicant Is Selling and/or Lying According to Facial Expressions and Head Movements Much More Correctly Than Human Interviewers, IEEE Transactions on Computational Social Systems
- Wenchang Zhang, Che-Wei Liu, Liu Ming, and Yue Cheng. (2023) The Sales Impacts of Traffic Acquisition Promotion in Live Streaming Commerce. Production and Operations Management
- Che-Wei Liu, Weiguang Wang, Guodong Gao, and Ritu Agarwal. (2023) The Value of Virtual Engagement: Evidence from Runners. Management Science 70(9):6179-6201.
- Che-Wei Liu, Mochen Yang, and Ming-Hui Wen. (2023) Judge Me on My Losers: Do Robo-Advisors Outperform Human Investors during the COVID-19 Financial Market Crash? Production and Operations Management 32(10): 3174-3192.
- Yang Pan, Sunil Mithas, JJ Po-An Hsieh, and Che-Wei Liu. (2023) Do Risk Preferences Shape the Effect of Online Trading on Trading Frequency, Volume, and Portfolio Performance? Journal of Management Information Systems 40(2): 440-469.
- Sunil Mithas, Yanzhen Chen, Che-Wei Liu, and Kunsoo Han. (2022) Are Foreign and Domestic Information Technology Professionals Complements or Substitutes? MIS Quarterly 46(4): 2351-2366
- Che-Wei Liu, Guodong Gao, and Ritu Agarwal. (2022) Reciprocity or Self-Interest? Leveraging Digital Social Connections for Healthy Behavior. MIS Quarterly 46(1): 261-298.
- Che-Wei Liu, Peng Huang, and Hank Lucas. (2020) Centralized IT Decision Making and Cybersecurity Breaches: Evidence from US Higher Education Institutions. Journal of Management Information Systems 37(3): 758-787.
- Che-Wei Liu, Guodong Gao, and Ritu Agarwal. (2019) Unraveling the “Social” in Social Norms: The Conditioning Effect of User Connectivity. Information Systems Research 30(4):1272-1295.
- Jonathan Whitaker, Sunil Mithas, and Che-Wei Liu. (2019) Beauty is in the Eye of the Beholder: Toward a Contextual Understanding of Compensation for IT Professionals Within and Across Geographies. Information Systems Research 30(3):892-911.
- Ritu Agarwal, Che-Wei Liu, and Kislaya Prasad. (2019) Personal Research, Second Opinions, and the Diagnostic Effort of Experts. Journal of Economic Behavior & Organization (158): 44-61.
Courses
2025 Spring
| Course Number | Course Title |
|---|---|
| CIS 576 | Transforming Business with AI |
2024 Fall
| Course Number | Course Title |
|---|---|
| CIS 508 | Machine Learning in Business |
| CIS 508 | Machine Learning in Business |
| CIS 508 | Machine Learning in Business |
- Jerome Bess Faculty Fellowship, Kelley School of Business, Indiana University, 2024
- INFORMS Information Systems Society Gordon B. Davis Young Scholar Award, 2023
- Best Student Paper Nomination, Conference of Information Systems and Technology (CIST), Phoenix, USA, 2023
- ODT Faculty Scholar Award, Kelley School of Business, Indiana University, 2021
- Frank T. Paine Award for Academic Achievement, Robert H. Smith School of Business, University of Maryland, 2018
- Invited Participant, Doctoral Consortium of International Conference on Information Systems (ICIS), Seoul, South Korea, 2017
- Organizational Communication & Information Systems (OCIS) Doctoral Consortium, Academy of Management 2017 Annual Meeting, Atlanta, USA, 2017
- International Conference for Smart Health (ICSH) Best Paper Nominee, 2017
- All-S.T.A.R. Fellowship ($10,000), awarded by the graduate school to only 16 out of approximately 4000 graduate students at UMD and the only recipient from the Business School, 2017
- CIBER PhD Research Award ($4,000), Center for International Business Education and Research, 2017
- International Conference on Information Systems (ICIS 2016) Best Paper (Runner-up), 2016
- Jacob K. Goldhaber Travel Award ($600), University of Maryland, 2016
- International Conference Student Support Award (ICSSA) ($380), University of Maryland, 2016
- Summer Research Fellowship ($5,000), University of Maryland Graduate School, June 2016
- Outstanding Graduate Assistantship Award, Top 2% of Graduate Assistants of approximately 4,000 UMD graduate students, University of Maryland Graduate School, 2016
- Taiwanese Study Abroad Scholarship for Outstanding Student ($32,000), The Ministry of Education of Taiwan, 2015
- Graduate Assistantship, Decision, Operations & Information Technologies, University of Maryland, 2013-2018
- Deans’ Fellowship, Robert H. Smith School of Business, University of Maryland, 2013-2014
- Editorial Review Board, Information Systems Research, 2023-2024