Publications

January 1997
Background Note

Simulation as a Decision Aid

By: Roy D. Shapiro

A brief introduction to simulation--what it is, why it's used, etc. Meant to set context for a first class on simulation. A rewritten version of an earlier note. View Details

Keywords: Mathematical Methods; Decision Making

August 2017 (Revised February 2023)
Case

Managing Diversity and Inclusion at Yelp

By: Michael Luca, Joshua Schwartzstein and Gauri Subramani

This case explores the industry-wide lack of employee diversity in the technology sector and Yelp’s decision to take a leadership position in identifying strategies to increase diversity. The goal of the case is to provide an opportunity for students to develop a... View Details

Keywords: Diversity; Employees; Leading Change; Strategy; Organizational Culture; Technology Industry

May 2011
Article

Overconfidence by Bayesian Rational Agents

By: Eric J. Van den Steen

This paper derives two mechanisms through which Bayesian-rational individuals with differing priors will tend to be relatively overconfident about their estimates and predictions, in the sense of overestimating the precision of these estimates. The intuition behind one... View Details

Keywords: Decision Choices and Conditions; Forecasting and Prediction; Knowledge Acquisition; Risk Management; Prejudice and Bias

02 Jun 2017
News

Who’s gay? Depends on who’s asking

November 2013 (Revised November 2014)
Case

Infection Control at Massachusetts General Hospital

By: Robert S. Huckman and Nikolaos Trichakis

The case explores the challenges facing Massachusetts General Hospital concerning the adoption of a new infection control policy, which promises to improve operational performance, patient safety, and profitability. The new policy requires coordination between... View Details

Keywords: Safety; Organizational Change and Adaptation; Integration; Health Care and Treatment; Policy; Health Industry; Boston

13 Apr 2021
News

Why Start-ups Fail

August 2002 (Revised February 2005)
Case

Gillette Company (B): Leadership for Change

By: Rosabeth M. Kanter and James Weber

Describes the actions and behavior of a new CEO in his first days and weeks as he sets expectations for his top management team and introduces processes and disciplines to begin the turnaround of a global consumer products company. View Details

Keywords: Business Strategy; Policy; Change Management; Leading Change; Motivation and Incentives; Strategic Planning; Retail Industry

September 2008 (Revised August 2010)
Exercise

If We Blew It Up, Then We Could....

By: Stacey Childress

By setting up a thought experiment, this exercise challenges students to examine their own assumptions about the meaning of the word "public" in public education, as well as to understand competing assumptions held by others. View Details

Keywords: Education; Social Issues; Education Industry; United States

Keywords: Advertising and Marketing

2021
Working Paper

Which Markets (Don't) Drive Pharmaceutical Innovation? Evidence From U.S. Medicaid Expansions

By: Craig Garthwaite, Rebecca Sachs and Ariel Dora Stern

Pharmaceutical innovation policy involves managing a tradeoff between high prices for new products in the short-term and stronger incentives to develop products for the future. Prior research has documented a causal relationship between market size and pharmaceutical... View Details

Keywords: Pharmaceuticals; Medicaid; Innovation and Invention; Policy; Markets; Research and Development; Pharmaceutical Industry

February 2018 (Revised March 2019)
Case

Sandlands Vineyards

By: Benjamin C. Esty and Gregory Saldutte

Approximately 80% of the wineries in the U.S. break even or lose money. An even greater percentage lose money on an economic basis (i.e., after a charge for the cost of equity). Tegan Passalacqua is a successful, young, Californian winemaker who specializes in making... View Details

Combining machine learning with econometric analysis is becoming increasingly prevalent in both research and practice. A common empirical strategy involves the application of predictive modeling techniques to "mine" variables of interest from available data,... View Details

December 2022
Article

Shaping Nascent Industries: Innovation Strategy and Regulatory Uncertainty in Personal Genomics

By: Cheng Gao and Rory McDonald

In nascent industries—whose new technologies are often poorly understood by regulators—contending with regulatory uncertainty can be crucial to organizational survival and growth. Prior research on nonmarket strategy has largely focused on established firms in mature... View Details

Keywords: Technological Change; Innovation; Qualitative Methods; New Categories; Entrepreneurship; Technological Innovation; Governing Rules, Regulations, and Reforms; Risk and Uncertainty; Strategy

Video

Lillete Dubey

Lillete Dubey, Director of India-based Primetime Theatre Company, discusses her decision to establish a company that produces original plays set in local contexts, aiming to find the Indian voice in English-language theater. View Details

Person Page

Source Code

torfason.igraph.utils

This is set of utility functions written while working on “Organizing the... View Details

14 Dec 2010
News

Americans are spending again, but more cautiously

24 Aug 2021
Cold Call Podcast

Why Did Pet Concierge Startup Baroo Fail?

Keywords: Re: Thomas R. Eisenmann; Technology; Service

John A. Deighton

John Deighton is The Harold M. Brierley Professor of Business Administration Emeritus at Harvard Business School. He is an authority on consumer behavior and marketing, with a focus on digital and direct marketing. He teaches in the area of Big Data in Marketing,... View Details

Keywords: advertising; banking; beverage; communications; computer; consumer products; credit card; e-commerce industry; financial services; grocery; hotels ＆ motels; information technology industry; marketing industry; music; pharmaceuticals; professional services

October–December 2022
Article

Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem

By: Mochen Yang, Edward McFowland III, Gordon Burtch and Gediminas Adomavicius

Combining machine learning with econometric analysis is becoming increasingly prevalent in both research and practice. A common empirical strategy involves the application of predictive modeling techniques to "mine" variables of interest from available data, followed... View Details

Keywords: Machine Learning; Econometric Analysis; Instrumental Variable; Random Forest; Causal Inference; AI and Machine Learning; Forecasting and Prediction