• Dr. Zhilei Qiao is an Assistant Professor of Information Systems in the Collat School of Business at UAB. He received his Ph.D. in Business Information Technology from Virginia Tech. Before beginning his academic career, he had more than seven years' IT industry experience. He worked as a software engineer or senior software engineer in two global IT companies: Infosys and DNV. His research interests include Social Media Analytics, Entrepreneurship, Mobile Analytics, Product Innovation and Text Mining. He has published and presented papers in refereed information systems conferences such as Hawaii International Conference on System Sciences (HICSS), Academy of Management (AOM) Annual Meeting, Americas Conference on Information Systems (AMCIS), China Summer Workshop on Information Management (CSWIM), and the Business Analytics Congress (Pre-ICIS Workshop / SIGDSA). He was winners of the "Best Research Paper Runner-Up Award" in the 4th Business Analytics Congress in 2015 and the "Best Research Paper Award" in the Pre-ICIS Workshop SIGDSA 2020. His research has been published in the Journal of Management Information Systems and Journal of Computational and Graphical Statistics. He is also a member of the Association for Information Systems (AIS), Decision Sciences Institute (DSI) and Institute for Operations Research and the Management Sciences (INFORMS).
  • Selected Publications

    Academic Article

    Year Title Altmetric
    2020 Joint Estimation of the Two-level Gaussian Graphical Models across Multiple ClassesJournal of Computational and Graphical Statistics2020
    2018 Measuring Customer Agility from Online Reviews Using Big Data Text AnalyticsJournal of Management Information Systems.  35:510-539. 2018


    Year Title Altmetric
    2018 Analytics and Data Science 2018
    2018 The Impact of Customer Reviews on Product Innovation: Empirical Evidence in Mobile Apps.  95-110. 2018

    Research Overview

  • His research activities center on knowledge discovery from large volumes of user-generated content and its impact on firms’ incremental innovation decisions and product performance. He is also interested in developing advanced text mining techniques to assist firms in actionable information discovery and innovation opportunities identification. His research interests include Text Mining, Deep Learning, Product Innovation, Entrepreneurship, and Mobile Analytics.
  • Teaching Overview

  • His teaching interests include a variety of IS related topics. In particular, he is interested in teaching technical courses such as quantitative methods, database management, programming, web-based application development, text mining, business analytics, and data science for business. He had taught and developed several business analytics courses including Introduction to Business Intelligence, Applied Data Science for Information Systems, Data Science for Business and Advanced Business Analytics courses.
  • Education And Training

  • Doctor of Philosophy in Information Technology, Virginia Polytechnic Institute and State University 2018
  • Full Name

  • Zhilei Qiao