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Show Results For
- All HBS Web
(971)
- News (131)
- Research (718)
- Events (8)
- Multimedia (4)
- Faculty Publications (551)
- Web
Value-Based Health Care - Institute For Strategy And Competitiveness
regulatory barriers to value-based health care, including fraud and abuse laws such as the Stark law limiting physician referrals, anti-trust laws, data privacy laws limiting information and data sharing,... View Details
- Web
Accounting & Management - Faculty & Research
pronounced when borrowers have limited access to credit, take loans for business purposes, and obtain more credit. Keywords: Informal Economy ; Digital Banking ; Mobile Phones ; Developing Countries and Economies ; Mobile and Wireless Technology ; AI and Machine... View Details
- 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
Bernstein, Ethan, and Cara Mazzucco. "Winning Business at Russell Reynolds." Harvard Business School Multimedia/Video Supplement 424-704, January 2024.
- July 18, 2025
- Article
Using Gen AI for Early-Stage Market Research
By: James Brand, Ayelet Israeli and Donald Ngwe
Generative AI, particularly large language models (LLMs), offers a promising new tool for early-stage market research by simulating customer responses to product concepts. This can allow companies to draw conclusions similar to those they’d obtain by survey customers... View Details
Keywords: Large Language Models; Large Language Model; Generative Ai; Artificial Intelligence; Market Research; Research; Marketing; AI and Machine Learning; Analytics and Data Science; Analysis; Customers; Consumer Behavior; Technology Industry; Information Technology Industry
Brand, James, Ayelet Israeli, and Donald Ngwe. "Using Gen AI for Early-Stage Market Research." Harvard Business Review (website) (July 18, 2025).
- 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
- Web
Program Requirements - Doctoral
Methods (HBS 4809) Intermediate Statistical Analysis in Psychology (Psychology 1950) Multivariate Analysis in Psychology (Psychology 1952) Intermediate Quantitative Research Methods (Sociology 202) Advanced Quantitative Research Methods (Sociology 203a) Analysis of... View Details
- 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
- 2020
- Working Paper
Machine Learning for Pattern Discovery in Management Research
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
Choudhury, Prithwiraj, Ryan Allen, and Michael G. Endres. "Machine Learning for Pattern Discovery in Management Research." Harvard Business School Working Paper, No. 19-032, September 2018. (Revised June 2020.)
- 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
- 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
Bertsimas, Dimitris, 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. "From Predictions to Prescriptions: A Data-driven Response to COVID-19." Health Care Management Science 24, no. 2 (June 2021): 253–272.
- 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
Ellison, Glenn, Edward Glaeser, and William R. Kerr. "What Causes Industry Agglomeration? Evidence from Coagglomeration Patterns." American Economic Review 100, no. 3 (June 2010): 1195–1213.
- Research Summary
Overview
I have spent my career studying novel talent management practices and their effect on collaboration and performance. My core research focuses on two interrelated organizational trends that have become salient in the 21st century: workplace transparency (who gets to... View Details
Keywords: Privacy; Transparency; Productivity; Field Experiments; Communication; Design; Human Resources; Leadership; Management; Organizational Design; Organizational Structure; Performance; Groups and Teams; Networks; Behavior; Social and Collaborative Networks; Satisfaction; North America; Europe; Asia; China; Japan; Latin America
- Web
Marketing - Faculty & Research
Models ; Large Language Model ; Generative Ai ; Artificial Intelligence ; Market Research ; Research ; Marketing ; AI and Machine Learning ; Analytics and Data Science ; Analysis ; Customers ; Consumer... View Details
- March 2024
- Case
Madrigal: Conducting a Customer-Base Audit
By: Eva Ascarza, Bruce Hardie, Michael Ross and Peter S. Fader
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; Customer Value and Value Chain; Retail Industry; United States
Ascarza, Eva, Bruce Hardie, Michael Ross, and Peter S. Fader. "Madrigal: Conducting a Customer-Base Audit." Harvard Business School Case 524-046, March 2024.
- 16 Aug 2016
- First Look
August 16, 2016
N., and Josh Lerner Abstract—This paper describes the available data and research on venture capital investments and performance. We comment on the challenges inherent in those data and research as well as... View Details
Keywords: Sean Silverthorne
- March 2024
- Supplement
Madrigal: Conducting a Customer-Base Audit
By: Eva Ascarza, Peter Fader, Bruce G.S. Hardie 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
- 09 Jan 2024
- In Practice
Harnessing AI: What Businesses Need to Know in ChatGPT’s Second Year
high-value ideas that blend human ingenuity with AI’s efficiency and analytical power. As we look ahead, it is clear that the competitive edge belongs to those firms that embrace this partnership. Picture a scenario where AI serves as the... View Details
- Winter 2021
- Editorial
Introduction
This issue of Negotiation Journal is dedicated to the theme of artificial intelligence, technology, and negotiation. It arose from a Program on Negotiation (PON) working conference on that important topic held virtually on May 17–18. The conference was not the... View Details
Wheeler, Michael A. "Introduction." Special Issue on Artificial Intelligence, Technology, and Negotiation. Negotiation Journal 37, no. 1 (Winter 2021): 5–12.
- May 2025 (Revised June 2025)
- Supplement
Michael Ku and Global Clinical Supply at Pfizer Inc.: Bringing Hope to Patients (D)
By: Linda A. Hill and Lydia Begag
This fourth installment in the Pfizer Global Clinical Supply (GCS) transformation case series highlights how over a decade of cultural and digital evolution positioned GCS to meet unprecedented global challenges. In 2011, Michael Ku became the Vice President of GCS and... View Details
Keywords: Innovation Leadership; Technological Innovation; Leadership Development; Leadership Style; Research and Development; Science-Based Business; Transformation; Health Pandemics; AI and Machine Learning; Analytics and Data Science; Digital Transformation; Leading Change; Product Launch; Supply Chain; Organizational Change and Adaptation; Alignment; Pharmaceutical Industry; Biotechnology Industry; Health Industry; United States; Asia; Europe; Latin America
Hill, Linda A., and Lydia Begag. "Michael Ku and Global Clinical Supply at Pfizer Inc.: Bringing Hope to Patients (D)." Harvard Business School Supplement 425-079, May 2025. (Revised June 2025.)
- 2022
- Working Paper
The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective
By: Satyapriya Krishna, Tessa Han, Alex Gu, Javin Pombra, Shahin Jabbari, Steven Wu and Himabindu Lakkaraju
As various post hoc explanation methods are increasingly being leveraged to explain complex models in high-stakes settings, it becomes critical to develop a deeper understanding of if and when the explanations output by these methods disagree with each other, and how... View Details
Krishna, Satyapriya, Tessa Han, Alex Gu, Javin Pombra, Shahin Jabbari, Steven Wu, and Himabindu Lakkaraju. "The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective." Working Paper, 2022.