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Management Information Systems

The Management Information Systems (MIS) area at the Daniels School of Business focuses on improving business processing through gathering, collecting, storing, analyzing, and disseminating information for managerial decision making. Departmental areas of expertise include database systems, computer networks, information security and privacy, human computer interaction, knowledge management, evolutionary computation, intelligent systems, and e-commerce.

Our MIS area is renowned in the field of business analytics and information management, as evidenced by INFORMS awarding our BAIM programs the 2023 UPS George D. Smith Prize.


Management Information Systems at Purdue encourages students to take advantage of distinguished centers and initiatives. Students at every level can join impactful data analytics ecosystems that put classroom learning into practice.


MIS faculty are researching topics such as database systems, computer networks, information security and privacy, human computer interaction, evolutionary computation, and more. Their research has been published in journals including Management Science, Information Systems Research, MIS Quarterly, Journal of Management Information Systems, and Operations Research.

Journal Articles

  • Zheng, J., Yin, G., Tan, Y. & Ding, J. (2023). "Does Help Help? An Empirical Analysis of Social Desirability Bias in Ratings." Information Systems Research Forthcoming.
  • Liang, S., Law, R., Wei, Z., & Ye, Q. (2023). "Effects of Reputation on Guest Satisfaction: From the Perspective of Two-Sided Reviews on Airbnb." International Journal of Contemporary Hospitality Management vol. 35 (10), 3718-3736. | Related Website |
  • Lin, M., Sias, R., & Wei, Z. (2023). "Experts vs. Non-Experts in Online Crowdfunding Markets." MIS Quarterly vol. 47 (1), 97-126. | Related Website |
  • Yu, Y., Khern-am-nuai, W., Pnisonneault, A., & Wei, Z. (2023). "Impacts of Social Interactions and Peer Evaluations on Online Review Platforms." Journal of Management Information Systems vol. 40 (4), 1271-1300. | Related Website |
  • Deng, Y., Zheng, J., Huang, L. & Kannan, K. (2023). "Let Artificial Intelligence Be Your Shelf Watchdog: The Impact of Intelligent Image Processing-Powered Shelf Monitoring on Product Sales." MIS Quarterly vol. 47 (3), 1045-1072. | Related Website |
  • Chen, W., Wei, Z., & Xie, K. (2023). "Regulating Professional Players in Peer-to-Peer Markets: Evidence from Airbnb." Management Science vol. 69 (5), 2893-2918. | Related Website |

Job Market Candidates

These Daniels School of Business PhD students are leading members of the next generation of innovative researchers, scholars and teachers. We are proud to support the next phase of their academic and professional lives.

To obtain additional information on job market candidates, please reach out to the MIS area contacts below, or contact candidates directly.

PhD Coordinator
Jeffrey Hu
(765) 494-4504

Daniels School of Business MIS Area, Management Department
Krannert Building
403 Mitch Daniels Blvd.
West Lafayette, IN 47907-2076

Department Head: Lin Nan

MIS Area Coordinator: Jeffrey Hu