Publications

Article

DEA Model with Shared Resources and Efficiency Decomposition

By: Yao Chen, Juan Du, H. David Sherman and Joe Zhu

Data envelopment analysis (DEA) has proved to be an excellent approach for measuring performance of decision making units (DMUs) that use multiple inputs to generate multiple outputs. In many real world scenarios, DMUs have a two-stage network process with shared input... View Details

Keywords: Data Envelopment Analysis (DEA); Efficiency; Intermediate Measure; Performance Efficiency

29 Aug 2013
Working Paper Summaries

X-CAPM: An Extrapolative Capital Asset Pricing Model

Keywords: by Nicholas Barberis, Robin Greenwood, Lawrence Jin & Andrei Shleifer

2023
Chapter

Inflation and Misallocation in New Keynesian Models

By: Alberto Cavallo, Francesco Lippi and Ken Miyahara

The New Keynesian framework implies that sluggish price adjustment results in a distorted allocation of resources. We use a simple model to quantify these unobservable distortions, using data that depict the price-setting behavior of firms, specifically the frequency... View Details

Keywords: Macroeconomics; Inflation and Deflation; Price; Analytics and Data Science; Cost

June 2024
Module Note

Value Creation Potential of New Business Models

By: David J. Collis

A business model is composed of three elements. These describe a generic way of creating value and identify the maximum potential value of that model for customers. The elements of a business model are the “job to be done” for the customer, the asset configuration, or... View Details

Keywords: Business Model; Corporate Strategy; Mission and Purpose; Competitive Strategy; Value Creation

August 2019
Article

When and How to Diversify—A Multicategory Utility Model for Personalized Content Recommendation

By: Yicheng Song, Nachiketa Sahoo and Elie Ofek

Sometimes we desire change, a break from the same or an opportunity to fulfill different aspects of our needs. Noting that consumers seek variety, several approaches have been developed to diversify items recommended by personalized recommender systems. However,... View Details

Keywords: Recommender Systems; Personalization; Recommendation Diversity; Variety Seeking; Collaborative Filtering; Consumer Utility Models; Digital Media; Clickstream Analysis; Learning-to-rank; Consumer Behavior; Media; Customization and Personalization; Strategy; Mathematical Methods

Research Summary

Models of optimal experience (flow)

Flow is a state of profound task-absorption, involvement, and intrinsic enjoyment that makes the person feel one with the activity. Csikszentmihalyi's Flow Theory states that flow is more likely to occur in situations in which the person feels that the activity is very... View Details

January 2003 (Revised August 2003)
Case

General Mills and the Hawthorne Huddle (A)

Examines the role of General Mills in the formation and leadership of the Hawthorne Huddle. The Huddle was in the Hawthorne neighborhood in Northern Minneapolis, which in 1997 was plagued with high crime and poverty. The Huddle served as a forum, held the first... View Details

Keywords: Leadership; Corporate Social Responsibility and Impact; Management Succession; Social Issues; Consumer Products Industry; Minneapolis

July 2023
Supplement

Honeycomb (B): Jumping on The Generative AI Bandwagon?

By: Jeffrey J. Bussgang and Kumba Sennaar

Honeycomb, an audio app enabling users to record stories and save family memories, considers pivoting to embrace generative AI. What should the co-founders business model look like if they pursued this new direction? View Details

Keywords: Entrepreneurship; Venture Capital; Operations; Business Startups; Business Model; AI and Machine Learning; Technology Industry; United States

2014
Article

Paying It Forward: Generalized Reciprocity and the Limits of Generosity

By: Kurt Gray, Adrian F. Ward and Michael I. Norton

When people are the victims of greed or recipients of generosity, their first impulse is often to pay back that behavior in kind. What happens when people cannot reciprocate, but instead have the chance to be cruel or kind to someone entirely different—to pay it... View Details

Keywords: Moral Sensibility; Behavior; Situation or Environment; Attitudes

Article

Pattern Detection in the Activation Space for Identifying Synthesized Content

By: Celia Cintas, Skyler Speakman, Girmaw Abebe Tadesse, Victor Akinwande, Edward McFowland III and Komminist Weldemariam

Generative Adversarial Networks (GANs) have recently achieved unprecedented success in photo-realistic image synthesis from low-dimensional random noise. The ability to synthesize high-quality content at a large scale brings potential risks as the generated samples may... View Details

Keywords: Subset Scanning; Generative Models; Synthetic Content Detection

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September 2023 (Revised January 2024)
Case

AI21 Labs in 2023: Strategy for Generative AI

By: David Yoffie, Orna Dan and Elena Corsi

Israeli generative artificial intelligence company AI21 Labs was founded in 2017 to realize the vision of true machine intelligence. It sought to reinvent writing and reading and in 2020 it launched Wordtune, an app using GenAI software to offer alternate text... View Details

Keywords: Decision Making; AI and Machine Learning; Innovation Strategy; Growth and Development Strategy; Applications and Software; Competitive Strategy; Technology Industry; Israel

Educators

Article

Scenario Generation for Long Run Interest Rate Risk Assessment

By: Robert F. Engle, Guillaume Roussellet and Emil N. Siriwardane

We propose a statistical model of the term structure of U.S. treasury yields tailored for long-term probability-based scenario generation and forecasts. Our model is easy to estimate and is able to simultaneously reproduce the positivity, persistence, and factor... View Details

Keywords: Forecasting; Stress Testing; Interest Rates; Forecasting and Prediction; Risk Management; United States

11 Jun 2007
Lessons from the Classroom

Teaching the Next Generation of Energy Executives

You may think that being an energy executive—especially a manager in a leading oil company—might be the easiest job around. Just flip the production switch, and watch gas prices head toward $4 a gallon. But students enrolled in Harvard Business School professor Forest... View Details

Keywords: by Julia Hanna; Energy; Utilities

October, 2022
Article

The Economic Dynamics of Competing Power Generation Sources

By: Gunther Glenk and Stefan Reichelstein

Competing power generation sources have experienced considerable shifts in both their revenue potential and their costs in recent years. Here we introduce the concept of Levelized Profit Margins (LPM) to capture the changing unit economics of both intermittent and... View Details

May 1986 (Revised July 1995)
Case

General Mills, Inc.: Yoplait Custard-Style Yogurt (A)

By: John A. Quelch

Yoplait's director of new product development is evaluating alternative line extensions including custard-style Yoplait. He must determine what additional research to recommend. Options include a mini-market test, a simulated test market and a fully-fledged test... View Details

Keywords: Food; Product Development; Product Marketing; Food and Beverage Industry; United States

Educators

Research Summary

How can General Managers Contribute to IT Success?

US companies are currently spending approximately 5% of their revenue on information technology (IT) each year. Over half of this investment goes to IT intended to change business processes, either within a single enterprise or across several. Hovewer, 30-75% of... View Details

2023
Article

Which Models Have Perceptually-Aligned Gradients? An Explanation via Off-Manifold Robustness

By: Suraj Srinivas, Sebastian Bordt and Himabindu Lakkaraju

One of the remarkable properties of robust computer vision models is that their input-gradients are often aligned with human perception, referred to in the literature as perceptually-aligned gradients (PAGs). Despite only being trained for classification, PAGs cause... View Details

Keywords: AI and Machine Learning; Mathematical Methods