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      • Forthcoming
      • Article

      Human-Algorithm Collaboration with Private Information: Naïve Advice Weighting Behavior and Mitigation

      By: Maya Balakrishnan, Kris Ferreira and Jordan Tong
      Even if algorithms make better predictions than humans on average, humans may sometimes have private information which an algorithm does not have access to that can improve performance. How can we help humans effectively use and adjust recommendations made by... View Details
      Keywords: AI and Machine Learning; Analytics and Data Science; Forecasting and Prediction; Digital Marketing
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      Balakrishnan, Maya, Kris Ferreira, and Jordan Tong. "Human-Algorithm Collaboration with Private Information: Naïve Advice Weighting Behavior and Mitigation." Management Science (forthcoming). (Pre-published online March 24, 2025.)
      • 2025
      • Chapter

      Leapfrog Leaders: Accelerating Systems Leadership Skills

      By: Laura Cabrera, Derek Cabrera and Hise O. Gibson
      We need leaders who can execute at the Strategic, Operational, and Tactical (SOT) levels. But, research shows it takes time for skills to develop at all three levels—too much time. Why does it take too much time? First, because expertise is borne of experience. An... View Details
      Keywords: DSRP; VCML; Strategy; Operations; Leadership Development; Decision Making; Organizational Structure
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      Cabrera, Laura, Derek Cabrera, and Hise O. Gibson. "Leapfrog Leaders: Accelerating Systems Leadership Skills." In The Routledge Handbook of Systems Thinking, edited by Derek Cabrera, Laura Cabrera, and Gordon Midgley. London: Routledge, forthcoming.
      • Research Summary

      Overview

      By: Roberto Verganti
      Roberto’s research focuses on how to create innovations that are meaningful for people, for society, and for their creators. He explores how leaders and organizations generate radically new visions, and make those visions come real. His studies lie at the intersection... View Details
      Keywords: Integrated Design; Strategy; Design Thinking; Innovation; Artificial Intelligence; Design; Technology; Leadership; Innovation Strategy
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      Overview

      By: Himabindu Lakkaraju
      I develop machine learning tools and techniques which enable human decision makers to make better decisions. More specifically, my research addresses the following fundamental questions pertaining to human and algorithmic decision-making:

      1. How to build... View Details
      Keywords: Artificial Intelligence; Machine Learning; Decision Analysis; Decision Support
      • Research Summary

      Overview

      By: Antonio Moreno
      Professor Moreno’s research explores how digital technologies are reshaping operational processes, with a particular focus on retail and service industries. His early work examined omnichannel retail—the integration of online and offline channels to create seamless... View Details
      Keywords: Omnichannel; Omni-channel; Omnichannel Retail; Omnichannel Retailing; Retail; Operations; Supply Chain Management; Digital Transformation; Digital Strategy; Retail Industry; Technology Industry; Service Industry; Europe; Spain; Latin America
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      By: Kris Johnson Ferreira
      Professor Ferreira's research primarily focuses on how retailers can use algorithms to make better revenue management decisions, including pricing, product display, and assortment planning. In the retail industry, anticipating consumer demand is arguably one of the... View Details
      Keywords: E-commerce; Analytics; Revenue Management; Pricing; Assortment Planning; Field Experiments; Operations; Supply Chain; Supply Chain Management; Retail Industry
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      Overview

      By: Ayelet Israeli
      Professor Israeli utilizes econometric methods and field experiments to study data driven decision making in marketing context. Her research focuses on data-driven marketing, with an emphasis on how businesses can leverage their own data, customer data, and market data... View Details
      Keywords: Channel Management; Pricing; Pricing Policies; Online Marketing; E-commerce; Analytics; Econometrics; Field Experiments; Data Analytics; Artificial Intelligence; Value Of Data
      • Research Summary

      Understanding the Limitations of Model Explanations

      By: Himabindu Lakkaraju
      The goal of this research is to understand how adversaries can exploit various algorithms used for explaining complex machine learning models with an intention to mislead end users. For instance, can adversaries trick these algorithms into masking their racial and... View Details
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