Anuj Kumar

Anuj Kumar

  • Walter J. Matherly Professor
  • Walter J. Matherly Professor of Information System

Location

  • Warrington College of Business
  • Information Systems and Operations Management Department
  • Stuzin Hall 337
Homepage

Dr. Anuj Kumar is a Full Professor of Information Systems at the Warrington College of Business, University of Florida. He earned his PhD in Information Systems Management from the Heinz College at Carnegie Mellon University. Prior to that, he completed a Master’s in Management from the Indian Institute of Management and holds both a Master’s in Thermal Engineering and a Bachelor’s in Mechanical Engineering from the Indian Institute of Technology in India.

Dr. Kumar’s research focuses on understanding how information technology influences human behavior and organizational outcomes. He has developed an AI-enabled platform called EPInc, designed to identify students’ knowledge gaps and connect them with peers who can assist in bridging those gaps. This platform has been implemented in many K-12 schools across several cities in India, benefiting thousands of students.

In addition to his work in education technology, Dr. Kumar has conducted extensive research on multichannel customer behavior in information systems-enabled environments, such as call centers and digital goods markets. He has also examined the economic value of algorithmic recommendation systems on digital platforms. His research has been published in top-tier journals, including Management Science, Information Systems Research, Manufacturing & Service Operations Management, and Management Information Systems Quarterly. Dr. Kumar’s contributions to the field have been recognized with several prestigious awards, such as the INFORMS ISS Sandra A. Slaughter Early Career Award.

Expertise and interest areas

  • Business Value of Information Technology
  • Digital Goods Markets
  • Information Technology Enabled Multi-Channel Service Operations

News

All articles

Courses taught

  • Advanced Business Systems Design and Development I (ISM6128)
  • Advanced Business Systems Design and Development II (ISM6129)
  • Seminar in Information Systems and Operations Management (QMB7933)
  • Special Topics (MAN6930)
  • Special Topics in Information Systems and Operations Management (QMB6930)
  • Special Topics in Marketing (MAR6930)

Education

    • Ph.D, Management Information Systems and Services, Other., Carnegie Mellon, 2010
    • M.Mgt., Management Science, General., Indian Institute of Management, 2005
    • ME, Engineering, General., Indian Institute of Technology, 1991
    • B.M.E., Aerospace, Aeronautical and Astronautical Engineering., Indian Institute of Technology, 1989

Journal article publications

  • Is It Beneficial To Recommend Differently Priced Products? Experimental Evidence From Online Recommender Systems
    • Journal: Production and Operations Management
    • Status: Published
    • Date: 2026
    • Authors: Xiang Wan, Anuj Kumar, Xitong Li
  • When Products Appear Better Online: Implications For Store Assortment In Omnichannel Retailing
    • Journal: Journal of Marketing Research
    • Status: Submitted
    • Date: 2026
    • Authors: Ping Tang, Rajiv Garg, Amit Mehra, Anuj Kumar
  • Impact Of Course Wait Time And Match On Engagement On Online Educational Platforms
    • Journal: Information Systems Research
    • Status: In Progress
    • Date: 2026
    • Authors: Xinzhi Rao, Anuj Kumar, Debjit Roy
  • The Hidden Markov Model Of Peer-Driven Knowledge Sharing In Skill Production
    • Journal: Information Systems Research
    • Status: In Progress
    • Date: 2026
    • Authors: Yuchen Liu, Anuj Kumar
  • On Increasing Performance And Road-Safety Compliance In Life-Improvement Apps: A Field Experiment From Trucking In An Emerging Economy
    • Journal: Production and Operations Management
    • Status: Submitted
    • Date: 2026
    • Authors: Anuj Kumar, Uttara Anathakrishnan, Debjit Roy, Tharanga Rajapakshe
  • When Product Recommendations Fall Short: The Heterogeneous Impact Of Product Network Characteristics On Recommender System Performance
    • Journal: MIS Quarterly
    • Status: Submitted
    • Date: 2025
    • Authors: Xiang Shawn. Wan, Anuj Kumar, Haldun Aytug
  • Learning Product Improvement From Consumer Evaluations
    • Journal: Management Science
    • Status: Accepted/In Press
    • Date: 2025
    • Authors: Amin Hosseininasab, Vincent Zhao, Anuj Kumar
  • Improving Educational Delivery In K-12 Schools With Personalization: Evidence From A Randomized Field Experiment In India
    • Journal: Journal of the Association for Information Systems
    • Status: Submitted
    • Date: 2025
    • Authors: Anuj Kumar, Amit Mehra
  • Who Captures The Value From Organizational Ratings?: Evidence From Public Schools
    • Journal: Strategy Science
    • Status: Published
    • Date: 2024
    • Authors: Sharique Hasan, Anuj Kumar
  • Retargeted Vs. Generic Product Recommendations: When Is It Valuable To Present Retargeted Recommendations?
    • Journal: Information Systems Research
    • Status: Published
    • Date: 2024
    • Authors: Xiang Wan, Anuj Kumar, Xitong Li
  • Gentrification And Racial Distrust In Communities: Evidence From 911 Calls
    • Journal: Management Science
    • Status: Published
    • Date: 2024
    • Authors: Uttara Madurai. Ananthakrishnan, Sharique Hasan, Anuj Kumar
  • How Do Product Recommendations Help Consumers Search? Evidence From A Field Experiment
    • Journal: Management Science
    • Status: Published
    • Date: 2023
    • Authors: Xiang Wan, Anuj Kumar, Xitong Li
  • How Do Product Recommendations Help Consumers Search Products? Evidence From A Field Experiment
    • Journal: Management Science
    • Status: Published
    • Date: 2023
    • Authors: Xitong Li, Anuj Kumar, Xiang Shawn. Wan
  • Retargeted Versus Generic Product Recommendations: When Is It Valuable To Present Retargeted Recommendations?
    • Journal: Information Systems Research
    • Status: Published
    • Date: 2023
    • Authors: Xiang Shawn. Wan, Anuj Kumar, Xitong Li