Predictive Analytics - Publications - Faculty & Research

March 1980 (Revised February 1987)
Case

Sweco, Inc. (A)

Describes Sweco's decision about whether to enter the mud-processing equipment industry (used in oil well drilling). This is an internal entry decision, and the case describes Sweco's existing businesses as well as the mud-processing industry and competitors. The case... View Details

Keywords: Cost vs Benefits; Decisions; Forecasting and Prediction; Cost; Analytics and Data Science; Market Entry and Exit; Competition

Citation

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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

Teaching Interest

MBA Required Curriculum—Strategy

By: Benjamin C. Esty

The objective of this course is to help students develop the skills for formulating strategy. It provides an understanding of:

A firm's operative environment and how to sustain competitive advantage.
How to generate superior... View Details

Teaching Interest

MBA Required Curriculum-- Strategy Course

By: Ramon Casadesus-Masanell

The objective of this course is to help students develop the skills for formulating strategy. It provides an understanding of:

A firm's operative environment and how to sustain competitive advantage.
How to generate superior value for customers... View Details

Keywords: Strategy; Competitive Strategy; Competitive Advantage

Research Summary

Overview

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

Forthcoming
Article

Slowly Varying Regression Under Sparsity

By: Dimitris Bertsimas, Vassilis Digalakis Jr, Michael Lingzhi Li and Omar Skali Lami

We consider the problem of parameter estimation in slowly varying regression models with sparsity constraints. We formulate the problem as a mixed integer optimization problem and demonstrate that it can be reformulated exactly as a binary convex optimization problem... View Details

Keywords: Mathematical Methods; Analytics and Data Science