Anuj Kumar

Anuj Kumar is an Associate Professor of Information Systems and Management at the Warrington College of Business, University of Florida. He holds a PhD in Information Systems Management from Heinz School of Information Systems and Management, Carnegie Mellon University. He also holds a Bachelor’s degree in Mechanical Engineering and a Master’s degree in Thermal Engineering from Indian Institute of Technology, India, and a Master’s degree in management from Indian Institute of Management, India.

Professor Kumar is interested in finding business relevant insights at the intersection of Information Systems, Operation Management and Marketing. Specifically, he studies multichannel customer behavior in IS enabled new technology channels e.g. customer support services at call centers and digital goods markets settings. He employs economic and behavioral theories to model customer behavior and then utilizes econometric and probabilistic methods to extract actionable insights from the field data. Professor Kumar has published his research in top tier journals like Management Science, Information Systems Research, Manufacturing & Service Operations Management and Management Information Systems Quarterly.

• Improving Skill Production with Peer-Induced Knowledge Diffusion in K-12 Schools
  Status: Working Paper
  Authors: Anuj Kumar, Anurag Garg
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• Who captures the value from organizational ratings?: Evidence from public schools.
  Status: Accepted
  Journal: Strategy Science
  Accepted Year: 2024
  Authors: Sharique Hasan, Anuj Kumar
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• Bollywood Beats Boredom: Addressing Drivers’ Limited Attention with Movie-Themed Alerts
  Status: 1st Revise and Resubmit
  Journal: Information Systems Research
  Authors: Anuj Kumar, Tharanga Rajapakshe, Debjit Roy
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• When Product Recommendations Fall Short: The Heterogeneous Impact of Product Network Characteristics on Recommender System Performance
  Status: 1st Revise and Resubmit
  Journal: MIS Quarterly
  Authors: Xiang Wan, Anuj Kumar, Haldun Aytug
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• How Do Product Recommendations Help Consumers Search Products? Evidence from a Field Experiment
  Status: Published
  Journal: Management Science
  Published Year: 2023
  Authors: Xiang Wan, Anuj Kumar, Xitong Li
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• Retargeted versus Generic Product Recommendations: When is it Valuable to Present Retargeted Recommendations?
  Status: Published
  Journal: Information Systems Research
  Published Year: 2023
  Authors: Xiang Wan, Anuj Kumar, Xitong Li
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• Gentrification and Racial Distrust in Communities: Evidence from 911 Calls
  Status: Accepted
  Journal: Management Science
  Accepted Year: 2023
  Authors: Uttara Ananthakrishnan, Sharique Hasan, Anuj Kumar
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• Redesigning Stores After COVID: Using Machine Learning to Determine Store Assortment
  Status: Working Paper
  Authors: Ping Tang, Amit Mehra, Anuj Kumar, Rajiv Garg
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• Is inequality good for business?: Evidence from the rise of dollar stores in America
  Status: Working Paper
  Authors: Uttara Ananthakrishnan, Sharique Hasan, Anuj Kumar
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• Estimating Heterogeneous Treatment Effect in Product Recommendations
  Status: Working Paper
  Authors: Xiang Wan, Anuj Kumar, Haldun Aytug
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• Educational inclusion and behavioral spillovers at home
  Status: Working Paper
  Authors: Samina Bano, Sharique Hasan, Amod Kumar, Anuj Kumar
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