Bin Zhang

Associate Professor, Department of Information and Operations Management; Faculty Advisory Council Representative, Mays Business School, Department of Information and Operations Management; Affiliate Faculty, Texas A&M Institute of Data Science, Department of Information and Operations Management; Visiting Research Fellow, Carnegie Mellon University, Department of Information and Operations Management; AWS Academy Educator, Department of Information and Operations Management
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Biography

Dr. Bin Zhang is an associate professor of information and operations management at Mays Business School. He joined Texas A&M University in July 2021.

Dr. Zhang’s primary research interests are social media analytics and machine learning. He is specifically interested in designing algorithms to analyze large social network and developing deep learning methods to investigate social media content such as text, image and video. His work has been published in premier journals such as MIS Quarterly, Information Systems Research, Production and Operations Management, Journal of Management Information Systems, etc. His projects have been funded by federal agencies such as NSF and NIH. Dr. Zhang has extensive teaching experience in database, data mining, data analytics, and programming languages. All of these courses receive very high evaluation from the students.

Dr. Zhang has served on multiple review panels for NSF, and is the previous Vice Chair of INFORMS College of AI. He is an affiliate faculty of Texas A&M Institute of Data Science and a visiting research fellow affiliated with iLab at Carnegie Mellon University.

Courses Taught:
ISTM 450: Business Intelligence and Data Mining
ISTM 650: Business Data Mining
ISTM 650: Business Data Mining (Online)
ISTM 637: Data Warehousing

Education

  • Ph.D., Information Systems Management, Carnegie Mellon University
  • MS, Machine Learning, Carnegie Mellon University

Publications

Cai, X., Zhang, B., Zhao, X., & Feng, G. (forthcoming). Decoding Interdependent DApp Adoption Decisions: The Moderating Role of Governance Mechanisms on Blockchain Platforms. Production and Operations Management.
Zhang, B., Hao, H., Zhan, Y., and Wu, J. (in press). How Physician Reviews Affect Online Consultation Demand: An Innovative Small Language Model with Fine-Tuning. Information Systems Research. https://pubsonline.informs.org/doi/full/10.1287/isre.2024.1183
Guo, C., Zhang, B., Chen, X., & Goes, P. (2025). Using “Super Apps” in Online Retailing Operations: Evidence from a Large Hotel Chain. Production and Operations Management, 34(12), 3847-3867. https://doi.org/10.1177/10591478231224908
NSF Award # 1261977 – The structure and dynamics of generative innovations: An organizational genetics approach. (02/2013-01/2017). Retrieved from https://www.nsf.gov/awardsearch/showAward?AWD_ID=1261977
Um, S., Zhang, B., Wattal, S., & Yoo, Y. (2022). Software Components and Product Variety in a Platform Ecosystem: A Dynamic Network Analysis of WordPress. Information Systems Research, 34(4), 1339–1374. https://doi.org/10.1287/isre.2022.1172
Liu, X., Zhang, B., Susarla, A., and Padman, R. (2020) Go to YouTube and See Me Tomorrow: Social Media and Self-Care of Chronic Conditions. MIS Quarterly, 44(1b), 257–283.
NIH, PI, Project #5R01DA037378-05, Understanding E-Cigarette Adoption and Marketing: A Social Media Study, $452,223, 06/2018–05/2020.
Zhang, B., Pavlou, P. A., & Krishnan, R. (2018). On Direct vs. Indirect Peer Influence in Large Social Networks. Information Systems Research, 29(2), 292–314. https://doi.org/10.1287/isre.2017.0753
Zhao, K., Zhang, B., & Bai, X. (2018). Estimating contextual motivating factors in virtual interorganizational communities of practice: peer effects and organizational influences. Information Systems Research, 29(4), 910–927. https://doi.org/10.1287/isre.2017.0752
Benjamin, V., Zhang, B., Nunamaker, J. F., & Chen, H. (2016). Examining hacker participation length in cybercriminal Internet-Relay-Chat communities. Journal of Management Information Systems, 33(2), 482–510. https://doi.org/10.1080/07421222.2016.1205918

Research Interests

Social Media Analytics

Healthcare Informatics

Deep Learning

AI

Data Analytics and Decision Support