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Kang Zhao

Department Executive Officer and Leonard A. Hadley Professor in Business Analytics

Current Positions

  • Leonard A. Hadley Professor in Business Analytics, Business Analytics
  • Professor, Business Analytics
  • Department Executive Officer, Business Analytics

Education

  • PhD in Information Sciences and Technology, Pennsylvania State University-State College
  • MS in Computer Science, Eastern Michigan University
  • BE in Electrical and Information Engineering, Beijing Institute of Technology

Research Interests

  • Data Science for Social and Business Networks. Online Health Communities, Social Media

Selected Awards & Honors

  • Top Cited Article - Journal of the Association for Information Science and Technology, 2024
  • Journal of Operations Management Ambassador Award, 2024
  • Master of Business Analytics Instructor of the Year: Elective - Tippie College of Business, 2023
  • Charles A. Taff Research Excellence Award - Tippie College of Business, 2023
  • Top Cited Article - Journal of the Association for Information Science and Technology, 2023
  • Nominee, Best Student Paper Award - INFORMS Workshop on Data Science, 2021
  • Top Cited Article - Journal of Operations Management, 2021
  • Runner-up, Best Paper Award - INFORMS Workshop on Data Science, 2020
  • Best Paper Award - INFORMS Workshop on Data Science, 2017
  • Early Career Faculty Research Award - Tippie College of Business, 2016

Selected Publications

Selected Presentations

  • "Social Dynamics of Substance Use in Online Social Networks for Smoking Cessation," Guest/Invited Speaker at Health Communication and Informatics Research Branch, National Cancer Institute, Washington, District of Columbia, December 2018.
  • "Online and Off the Web--Analyzing User Behaviors and Health Outcome in Online Health Communities," Guest/Invited Speaker at International Conference on Smart Health, Wuhan, China, January 2018.
  • "Concurrent Diffusions of Information and Behaviors in Online Social Networks," Guest/Invited Speaker at Winter Conference on Business Intelligence, Utah, March 2016.
  • "Social Dynamics of Substance Use in Online Social Networks for Smoking Cessation," Guest/Invited Speaker at VA Innovations in Healthcare Informatics Cyberseminar, January 2015.
  • "Users’ Roles and Involvement in Online Health Communities —a Social Support Perspective," Guest/Invited Speaker at China Summer Workshop on Information Management, Chengdu, China, June 2014.
  • "Sentiment influence and influential users in online health communities," Guest/Invited Speaker at 3M Computational Intelligence Colloquium, St Paul, Minnesota, July 2013.
  • "Role Identification - Influential users and community leadership," Guest/Invited Speaker at International Conference on Social Intelligence and Technology, University Park, Pennsylvania, May 2013.
  • "Recommendation in Reciprocal Bipartite Social Networks for Online Dating," Poster at Winter Conference on Business Intelligence, Snowbird, Utah, February 2013.
  • "Predicting Stock Price Movements with Dynamic Graph Neural Networks," Poster at Winter Conference on Business Analytics, Snowbird, Utah, March 2020.
  • "Multi-Relational Link Prediction for an Online Health Community," Accepted Speaker at INFORMS Workshop on Data Science, Seattle, Washington, January 2019.

Selected Grants & Contracts

  • Zhao, K. (Co-Principal). Understanding Gender Gaps in Academic Science through the Lens of Topic Fit: An Interdisciplinary Investigation Using a Big Data Approach. National Science Foundation (NSF). Funded. August 2022 - July 2024.
  • Zhao, K. (Multi-PI), Principal Investigator(s): Graham, A. Social Dynamics of Substance Use in Online Social Networks for Smoking Cessation. National Institutes of Health (NIH). Funded. September 2014 - August 2017.
  • Zhao, K. (Co-Investigator), Principal Investigator(s): Iulian Vamanu. Libraries as Resilience Hubs: Assessing Social Impacts and Learning from Best Practices. Institute of Museum and Library Services. Funded. August 2023 - July 2026.
  • Zhao, K. (Co-Investigator), Principal Investigator(s): Marina Del Rios. Dime la VerDAD (Verify, Debunk, and Disseminate). National Institutes of Health (NIH). Funded. July 2023 - December 2028.
  • Zhao, K. (Co-Principal), Principal Investigator(s): Laurian, L., Vamanu, I., Glanville, J., Nguyen, P., & Qian, H. Public Libraries for Disaster Resilience: Assessing Libraries’ Community Impacts in Times of Climate and Socio-Economic Crises. University of Iowa. Funded. January 2021 - December 2022.
  • Zhao, K. (Co-Principal), Principal Investigator(s): Su, R. Understanding Gender Gaps in Academic Science through the Lens of Topic Fit: An Interdisciplinary Investigation. Tippie College of Business. Funded. January 2021 - December 2022.
  • Zhao, K. (Co-Principal), Principal Investigator(s): Song, S. Effects of Supply Chain and Board Membership Networks on Firm Performances. Tippie College of Business. Funded. January 2020.
  • Zhao, K. (Co-Principal), Principal Investigator(s): Williams, M. In Whom We Trust: How Entrepreneurs’ Communication Moderates the Effect of Their Unmet Promises on Funders Reactions. Tippie College of Business. Funded. January 2020 - December 2020.
  • Zhao, K. (Principal Investigator). Support for the Doctoral Consortium Program at the IEEE International Conference on Healthcare Informatics 2016. National Science Foundation (NSF). Funded. September 2016 - August 2017.
  • Zhao, K. (Principal Investigator). Network Science Exploration Research Grant. Penn State University. Funded. January 2010 - December 2011.

Working Papers

  • Gao, G., Liu, H., Wang, C., Yang, L., & Zhao, K. (2023). Proactively Considering Future Externality for Recommendations in Live-Streaming Platforms.
  • Qu, X., Wang, X., Zhao, K., & Jiang, Z. (2023). Social Influence and the Co-Diffusion of Information and Behaviors on Online Social Networks—A Study of Prosocial Activity Diffusions on Online Social Networks.
  • Lin, Q., Zhao, K., Wang, X., & Sheng, O. (2021). Reciprocal Recommendations by Binary Matrix Completions with Comparison-Based Loss Function.
  • Zhai, P., Zhao, K., & Yang, Y. (2025). Multi-touch Attribution-enhanced Click-through Rate Prediction using Dynamic Graph Neural Networks.
  • Zhang, W., He, S., Zhao, K., Zhang, P., Yang, Y., & Zeng, D. (2025). Disentangling Hyperbolic Embeddings for Serendipity Recommendations.
  • Li, N., Wang, X., Lee, S., Liu, Y., & Zhao, K. (2025). Assembling Teams at the Knowledge Frontier: How Research Team Knowledge Continuity Supports Innovation Success in Combating COVID-19.
  • Rios, J., Zhao, K., Street, W. N., & Blackhurst, J. (2021). Predicting Stock Price Movements from Supply Chain Networks.

Employment History

  • Professor, Business Analytics, University of Iowa
  • Faculty Director, Master of Business Analytics, Business Analytics, University of Iowa, 2020 - 2023
  • Henry B. Tippie Research Fellow in Business Analytics, Business Analytics, University of Iowa, 2018 - 2023

Editorial & Review Activities

  • Associate Editor, Decision Support Systems, January 2020.
  • Associate Editor, Electronic Commerce Research and Applications, January 2020.
  • Editor, Journal of the Association for Information Science and Technology, January 2018.
  • Advisory/Consulting Editor, ACM Transactions on Management Information Systems, September 2020 - September 2021.
  • Associate Editor, Information Technology and Management, January 2020.
  • Associate Editor, International Conference on Information Systems, January 2018.
  • Associate Editor, International Conference on Information Systems, January 2016.