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Publications

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  • All HBS Web  (976)
    • News  (131)
    • Research  (723)
    • Events  (8)
    • Multimedia  (4)
  • Faculty Publications  (558)

Show Results For

  • All HBS Web  (976)
    • News  (131)
    • Research  (723)
    • Events  (8)
    • Multimedia  (4)
  • Faculty Publications  (558)
← Page 24 of 976 Results →
  • 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
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Nagle, Frank. "Privacy Breach Analysis in Social Networks." In Mining Social Networks and Security Informatics, edited by Tansel Ozyer, Zeki Erdem, Jon Rokne, and Suheil Khoury, 63–77. Springer Science + Business Media, 2013.
  • 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 surveying... 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
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Brand, James, Ayelet Israeli, and Donald Ngwe. "Using Gen AI for Early-Stage Market Research." Harvard Business Review (website) (July 18, 2025).

    Isamar Troncoso

    Isamar Troncoso is an Assistant Professor of Business Administration in the Marketing Unit at HBS. She teaches the Marketing course in the MBA required curriculum.

    Professor Troncoso studies problems related to digital marketplaces and new technologies. She... View Details

    Keywords: e-commerce industry; high technology; retailing
    • June 2025
    • Simulation

    Teleko: Managing Customer Retention

    By: Eva Ascarza
    Supplement to the A Case, No. 523-005. This interactive tool is designed to enhance engagement with the Managing Customer Retention at Teleko case by allowing the student to explore and analyze key data from the experiment run in July (“July... View Details
    Keywords: Algorithmic Decision Making; Simulation; Marketing Strategy; Customer Focus and Relationships; Analytics and Data Science
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    Ascarza, Eva. "Teleko: Managing Customer Retention." Harvard Business School Simulation 525-705, June 2025.
    • 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
    • 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
    • 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
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    Bernstein, Ethan, and Cara Mazzucco. "Winning Business at Russell Reynolds." Harvard Business School Multimedia/Video Supplement 424-704, January 2024.
    • 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
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    Parzen, Michael, and Paul Hamilton. "Probability Distributions." Harvard Business School Technical Note 621-704, February 2021.
    • 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
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    Ascarza, Eva, Bruce Hardie, Peter S. Fader, and Michael Ross. "Madrigal: Conducting a Customer-Base Audit." Harvard Business School Spreadsheet Supplement 524-706, March 2024.
    • 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
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    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.)
    • Web

    Accounting & Management - Faculty & Research

    purposes, and obtain more credit. Keywords: Informal Economy ; Digital Banking ; Mobile Phones ; Developing Countries and Economies ; Mobile and Wireless Technology ; AI and Machine Learning ; Analytics and View Details
    • 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
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    Ascarza, Eva, Bruce Hardie, Peter S. Fader, and Michael Ross. "Madrigal: Conducting a Customer-Base Audit." Harvard Business School Spreadsheet Supplement 524-707, March 2024.
    • 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
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    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.
    • 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
    • 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
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    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.
    • Web

    Technology & Operations Management - Faculty & Research

    Analytics and Data Science Citation Read Now Related Stamey, Will, Sriram Somanchi, and Edward McFowland III. "Difference-in-Differences Subset Scan." Proceedings of the ACM SIGKDD Conference on Knowledge... View Details
    • 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
    Keywords: Customer Relationship Management; Analytics and Data Science; Growth and Development Strategy; Retail Industry; United States
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    Ascarza, Eva, Peter Fader, Bruce G.S. Hardie, and Michael Ross. "Madrigal: Conducting a Customer-Base Audit." Harvard Business School PowerPoint Supplement 524-068, March 2024.
    • 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
    Keywords: by Rachel Layne; Information Technology
    • Research Summary

    Overview

    By: Ethan S. Bernstein
    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
    • Winter 2021
    • Editorial

    Introduction

    By: Michael A. Wheeler
    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
    Keywords: Artificial Intelligence; Information Technology; Negotiation; AI and Machine Learning
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    Wheeler, Michael A. "Introduction." Special Issue on Artificial Intelligence, Technology, and Negotiation. Negotiation Journal 37, no. 1 (Winter 2021): 5–12.
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