Publications

Find at Harvard

March–April 2023
Article

Market Segmentation Trees

By: Ali Aouad, Adam Elmachtoub, Kris J. Ferreira and Ryan McNellis

Problem definition: We seek to provide an interpretable framework for segmenting users in a population for personalized decision making. Methodology/results: We propose a general methodology, market segmentation trees (MSTs), for learning market... View Details

Keywords: Decision Trees; Computational Advertising; Market Segmentation; Analytics and Data Science; E-commerce; Consumer Behavior; Marketplace Matching; Marketing Channels; Digital Marketing

12 Jun 2018
First Look

New Research and Ideas, June 12, 2018

https://www.hbs.edu/faculty/Pages/item.aspx?num=54559 Harvard Business School Case 118-016 Data Science at Target Paritosh Desai joined Target.com in 2013 as VP of Business Intelligence, Analytics &... View Details

Keywords: Dina Gerdeman

April 2023
Case

Fizzy Fusion: When Data-Driven Decision Making Failed

By: Michael Parzen, Eddie Lin, Douglas Ng and Jessie Li

This is a case about a fictional New York beverage company called Fizzy Fusion. The business is facing supply chain and inventory management challenges with its new product, SparklingSip. Despite seeking help from a data science consulting firm, the machine learning... View Details

Keywords: Supply Chain Management; Production; Risk and Uncertainty; Analytics and Data Science; Food and Beverage Industry

Educators

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

16 Nov 2015
HBS Seminar

Vish Krishnan, Professor of Innovation, Technology & Operations, University of California San Diego Rady School of Man

2025
Working Paper

Dynamic Personalization with Multiple Customer Signals: Multi-Response State Representation in Reinforcement Learning

By: Liangzong Ma, Ta-Wei Huang, Eva Ascarza and Ayelet Israeli

Reinforcement learning (RL) offers potential for optimizing sequences of customer interactions by modeling the relationships between customer states, company actions, and long-term value. However, its practical implementation often faces significant challenges.... View Details

Keywords: Dynamic Policy; Deep Reinforcement Learning; Representation Learning; Dynamic Difficulty Adjustment; Latent Variable Models; Customer Relationship Management; Customer Value and Value Chain; Foreign Direct Investment; Analytics and Data Science

SSRN

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

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

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

Web

Program Requirements - Doctoral

Methods II (Economics 2115) Advanced Applied Econometrics (Economics 2144) Industrial Organization (Economics 2610) Statistical Methods for Evaluating Causal Effects (Econ 1127) Advanced Quantitative Methods II (KSG API 210i) Machine Learning and Big View Details

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

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

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

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 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

August 2021
Article

Information Seeding and Knowledge Production in Online Communities: Evidence from OpenStreetMap

By: Abhishek Nagaraj

The wild success of a few online communities (like Wikipedia) has obscured the fact that most attempts at forming such communities fail. This study evaluates information seeding, an early-stage intervention to bootstrap online communities that enables contributors to... View Details

Keywords: Online Communities; Knowledge Production; Crowdsourcing; Innovation; Digitization; Internet and the Web; Digital Platforms; Social and Collaborative Networks; Analytics and Data Science; Knowledge Dissemination

Find at Harvard

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

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