Publications

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Research Summary

Overview

By: Ethan S. Bernstein

My research focuses on two interrelated organizational trends that have become salient in the 21st century: workplace transparency (who gets to observe whom) and workplace connectivity (who gets to communicate with whom). Open offices and factories have made what was... View Details

2023
Working Paper

PRIMO: Private Regression in Multiple Outcomes

By: Seth Neel

We introduce a new differentially private regression setting we call Private Regression in Multiple Outcomes (PRIMO), inspired the common situation where a data analyst wants to perform a set of l regressions while preserving privacy, where the covariates... View Details

Keywords: Analytics and Data Science; Mathematical Methods

21 Oct 2014
First Look

First Look: October 21

literature when it comes to linking sales efforts with strategy. Part 1 of this book provides data indicating how and why sales remain (by far) the biggest part of strategy implementation in most firms, the issues involved in linking... View Details

Keywords: Sean Silverthorne

January 2024
Supplement

Winning Business at Russell Reynolds

By: Ethan Bernstein and Cara Mazzucco

In an effort to make compensation drive collaboration, Russell Reynolds Associates’ (RRA) CEO Clarke Murphy sought to re-engineer the bonus system for his executive search consultants in 2016. As his HR analytics guru, Kelly Smith, points out, that risks upsetting—and... View Details

Keywords: Restructuring; Talent and Talent Management; Compensation and Benefits; Growth and Development Strategy; Organizational Change and Adaptation; Organizational Culture; Performance Evaluation; Motivation and Incentives; Consulting Industry

Web

Curriculum - MBA

at and away from the bargaining table. It will give you the opportunity to enhance your strengths as a negotiator and to shore up your weaknesses. Read More People Analytics People Analytics is designed to... View Details

22 Nov 2023
Research & Ideas

Humans vs. Machines: Untangling the Tasks AI Can (and Can't) Handle

highly-skilled tasks with and without AI. After establishing a performance baseline, consultants were randomly divided into two groups. The first group would “conceptualize and develop new product ideas, focusing on aspects such as creativity, View Details

Keywords: by Rachel Layne; Information Technology; Technology

March 2022
Supplement

Winning Business at Russell Reynolds (B)

By: Ethan Bernstein and Cara Mazzucco

In an effort to make compensation drive collaboration, Russell Reynolds Associates’ (RRA) CEO Clarke Murphy sought to re-engineer the bonus system for his executive search consultants in 2016. As his HR analytics guru, Kelly Smith, points out, that risks upsetting–and... View Details

February 2001 (Revised April 2001)
Background Note

Note on Valuing Private Businesses

By: Dwight B. Crane and Indra Reinbergs

This case provides a brief overview of valuation for owners of closely held companies. The focus is on a comparable transactions approach, although rules of thumb and discounted cash flow are mentioned. Earnings multiples and their drivers are discussed. It uses... View Details

Keywords: Earnings Management; Finance; Cash Flow; Analytics and Data Science; Private Ownership; Valuation

Educators

December 2023
Article

When Should the Off-Grid Sun Shine at Night? Optimum Renewable Generation and Energy Storage Investments

By: Christian Kaps, Simone Marinesi and Serguei Netessine

Globally, 1.5 billion people live off the grid, their only access to electricity often limited to operationally-expensive fossil fuel generators. Solar power has risen as a sustainable and less costly option, but its generation is variable during the day and... View Details

Keywords: Energy; Renewable Energy

2013
Chapter

Privacy Breach Analysis in Social Networks

By: Frank Nagle

Over the past 5–10 years, online social networks have rapidly expanded, and as of March 2012 the largest online social network, Facebook, had over 901 million active members. The wealth of information users post in their social network profiles, as well as the... View Details

Keywords: Crime and Corruption; Social and Collaborative Networks; Social Media; Cybersecurity; Analytics and Data Science

Find at Harvard

2020
Working Paper

Machine Learning for Pattern Discovery in Management Research

By: Prithwiraj Choudhury

Supervised machine learning (ML) methods are a powerful toolkit for discovering robust patterns in quantitative data. The patterns identified by ML could be used as an observation for further inductive or abductive research, but should not be treated as the result of a... View Details

Keywords: Machine Learning; Theory Building; Induction; Decision Trees; Random Forests; K-nearest Neighbors; Neural Network; P-hacking; Analytics and Data Science; Analysis

SSRN

June 2021
Article

From Predictions to Prescriptions: A Data-driven Response to COVID-19

By: Dimitris Bertsimas, Léonard Boussioux, Ryan Cory-Wright, Arthur Delarue, Vassilis Digalakis Jr, Alexander Jacquillat, Driss Lahlou Kitane, Galit Lukin, Michael Lingzhi Li, Luca Mingardi, Omid Nohadani, Agni Orfanoudaki, Theodore Papalexopoulos, Ivan Paskov, Jean Pauphilet, Omar Skali Lami, Bartolomeo Stellato, Hamza Tazi Bouardi, Kimberly Villalobos Carballo, Holly Wiberg and Cynthia Zeng

The COVID-19 pandemic has created unprecedented challenges worldwide. Strained healthcare providers make difficult decisions on patient triage, treatment and care management on a daily basis. Policy makers have imposed social distancing measures to slow the disease, at... View Details

Keywords: COVID-19; Health Pandemics; AI and Machine Learning; Forecasting and Prediction; Analytics and Data Science

10 Dec 2013
First Look

First Look: December 10

from "real work." But when Google's people analytics team examined the value of managers, applying the same rigorous research methods the company uses in its operations, it proved the skeptics wrong. Mining View Details

Keywords: Sean Silverthorne

June 2010
Article

What Causes Industry Agglomeration? Evidence from Coagglomeration Patterns

By: Glenn Ellison, Edward Glaeser and William R. Kerr

Why do firms cluster near one another? We test Marshall's theories of industrial agglomeration by examining which industries locate near one another, or coagglomerate. We construct pairwise coagglomeration indices for US manufacturing industries from the Economic... View Details

Keywords: Production; Economics; Industry Clusters; Analytics and Data Science; Labor; Theory; Goods and Commodities; United States; United Kingdom

21 Dec 2010
First Look

First Look: December 21

lead to reduced economic productivity subsequent to exposure to temptation. Using a design inspired by the classic "Marshmallow Test," we report data from a field experiment in which children between the ages of 6 and 13 were... View Details

25 Jan 2024
Research & Ideas

Being a Team Player: Why College Athletes Succeed in Business

researchers chose to concentrate on the eight Ivy League schools for their initial research, following the career trajectories of 401,785 graduates from 1970 to 2021. They combined that data with career information, such as LinkedIn... View Details

Keywords: by Rachel Layne

March 2024
Supplement

Madrigal: Conducting a Customer-Base Audit

By: Eva Ascarza, Bruce Hardie, Peter S. Fader and Michael Ross

This case presents a scenario where Madrigal, a U.S. retailer with a rich 20-year history and a solid loyalty program, faces a turning point with the arrival of a new CEO. This leadership change reveals a critical gap in understanding the customer base, prompting an... View Details

Keywords: Customer Relationship Management; Analytics and Data Science; Growth and Development Strategy; Retail Industry; United States

February 2021
Technical Note

Probability Distributions

By: Michael Parzen and Paul Hamilton

This technical note introduces students to the concept of random variables, and from there the normal and binomial distributions. After a brief introduction to random variables, the note describes the standard properties of the normal distribution: a single peak, and a... View Details

Keywords: Analysis; Risk and Uncertainty; Theory; Analytics and Data Science

Educators