Publications

June 2024 (Revised August 2024)
Case

Revlon India's Turnaround: Navigating Online-Offline Decisions Using a Balanced Scorecard

By: Tatiana Sandino and Samuel Grad

Revlon India was founded as a joint venture in 1995, pairing the industrial conglomerate UMG with the global beauty brand Revlon, Inc. to bring international color cosmetics to India. After growing rapidly and pioneering the Beauty Advisor (BA) model in India, the... View Details

Educators

Spring 2015
Article

Bitcoin: Economics, Technology, and Governance

By: Rainer Böhme, Nicolas Christin, Benjamin Edelman and Tyler Moore

Bitcoin is an online communication protocol that facilitates virtual currency including electronic payments. Since its inception in 2009 by an anonymous group of developers, Bitcoin has served tens of millions of transactions with total dollar value in the billions.... View Details

Keywords: Market Platforms; Online Technology; Currency

Find at Harvard

2019
Book

Operations in an Omnichannel World

By: Santiago Gallino and Antonio Moreno

The world of retailing has changed dramatically in the past decade. Sales originating at online channels have been steadily increasing, and even for sales transacted at brick-and-mortar channels, a much larger fraction of sales is affected by online channels in... View Details

Keywords: Omnichannel; Omnichannel Retail; Retail; Operations; Management; Supply Chain Management; Business Model; Organizational Change and Adaptation

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28 Feb 2005
Research & Ideas

Amazon, eBay and the Bidding Wars

until at least 10 minutes have passed without a bid. Q: In your study of eBay, how much sniping was going on, and what categories or products were most likely to be sniped? A: In the eBay data we collected for our 2002 American Economics... View Details

Keywords: by Sara Grant; Web Services; Technology

2017
Article

Refugees Misdirected: How Information, Misinformation and Rumors Shape Refugees’ Access to Fundamental Rights

By: Melissa Carlson, Laura Jakli and Katerina Linos

The global refugee regime represents one of the few generous commitments governments offer to outsiders. Indeed, few persons fleeing armed conflict actually claim international protection upon first arriving in Europe, even though the benefits of legal protection are... View Details

Keywords: Refugees; Knowledge Dissemination; Trust; Risk and Uncertainty; Rights; Europe

February 2000
Case

E2M Health Services

By: Richard M.J. Bohmer and Naomi Atkins

Outlines the growth of an innovative diabetes disease management organization from 1994-99. Having demonstrated the success of their model in managing diabetes populations in Texas and New York State, the CEO and president must decide the future strategy of the company... View Details

Keywords: Business Model; Customer Focus and Relationships; Decision Choices and Conditions; Financial Markets; Revenue; Innovation and Invention; Business or Company Management; Marketing Strategy; Internet; Health Industry

Educators

07 Aug 2009
What Do You Think?

Why Can’t Americans Get Health Care Right?

provided excellent comparative data of the kind that we have seen all too little in the public debate on the matter. And nearly everyone admirably avoided the political rhetoric that has clouded rational thought about a truly complex... View Details

Keywords: by Jim Heskett; Health

10 Nov 2008
What Do You Think?

How Much Can You Ask of Your Customers?

so that volunteers (often customers, but also others) can easily contribute content (opinions and ratings for Zagat guides), "stuff for sale" (eBay online marketplace), behavioral data (Google's... View Details

Keywords: by Jim Heskett

July – August 2008
Article

Should You Invest in the Long Tail?

By: Anita Elberse

The blockbuster strategy is a time-honored approach, particularly in media and entertainment. When space is limited on store shelves and in traditional distribution channels, producers tend to focus on a few likely best sellers, hoping that one or two big hits will... View Details

Keywords: Demand and Consumers; Distribution Channels; Sales; Marketing Strategy; Online Technology; Motion Pictures and Video Industry; Music Industry; Retail Industry

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Register to Read

January 23, 2023
Article

Digital Public Health Interventions at Scale: The Impact of Social Media Advertising on Beliefs and Outcomes Related to COVID Vaccines

By: Susan Athey, Kristen Grabarz, Michael Luca and Nils Wernerfelt

Public health organizations increasingly use social media advertising campaigns in pursuit of public health goals. In this paper, we evaluate the impact of about $40 million of social media advertisements that were run and experimentally tested on Facebook and... View Details

Keywords: COVID-19 Pandemic; Public Health; Vaccines; Social Media; Advertising; Power and Influence; Health Care and Treatment

October 2024
Article

Sampling Bias in Entrepreneurial Experiments

By: Ruiqing Cao, Rembrand Koning and Ramana Nanda

Using data from a prominent online platform for launching new digital products, we document that ‘sampling bias’—defined as the difference between a startup’s target customer base and the actual sample on which early ‘beta tests’ are conducted—has a systematic and... View Details

Keywords: Target Market; Sampling Biases; Beta Testing; Product Launch; Entrepreneurship; Gender

February 2005 (Revised May 2005)
Case

Intelliseek

Intelliseek harvests, filters, and mines the content of messages posted by consumers online and on discussion boards and blogs. For any specified consumer product brand, Intelliseek measures the volume of work-of-mouth and its valence (proportion of positive and... View Details

Keywords: Internet and the Web; Information Technology; Consumer Behavior; Knowledge Management; Marketing Reference Programs; Web Services Industry

Educators

Article

Eliminating Unintended Bias in Personalized Policies Using Bias-Eliminating Adapted Trees (BEAT)

By: Eva Ascarza and Ayelet Israeli

An inherent risk of algorithmic personalization is disproportionate targeting of individuals from certain groups (or demographic characteristics such as gender or race), even when the decision maker does not intend to discriminate based on those “protected”... View Details

Keywords: Algorithm Bias; Personalization; Targeting; Generalized Random Forests (GRF); Discrimination; Customization and Personalization; Decision Making; Fairness; Mathematical Methods

09 Dec 2015
Research Event

How Do You Predict Demand and Set Prices For Products Never Sold Before?

predict demand with prescriptive analytics to make tactical decisions?” she said to a packed audience of executives, data scientists, and scholars. “I believe the answer lies in data.” Ferreira presented field work she and colleagues... View Details

Keywords: by Carmen Nobel; Retail; Apparel & Accessories

04 Dec 2007
First Look

First Look: December 4, 2007

winter. We suggest that the presence of membership fees can lead consumers to infer a "fees -> savings" link, spurring them to increase their spending independent of the actual savings afforded by such clubs. Using both field View Details

Keywords: Martha Lagace

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

Keywords: AI and Machine Learning; Analytics and Data Science; Mathematical Methods

2009
Working Paper

Do Friends Influence Purchases in a Social Network?

By: Raghuram Iyengar, Sangman Han and Sunil Gupta

Social networks, such as Facebook and Myspace have witnessed a rapid growth in their membership. Some of these businesses have tried an advertising-based model with very limited success. However, these businesses have not fully explored the power of their members to... View Details

Keywords: Marketing; Network Effects; Sales; Power and Influence; Social and Collaborative Networks; Web Sites; South Korea

2023
Working Paper

An Experimental Design for Anytime-Valid Causal Inference on Multi-Armed Bandits

By: Biyonka Liang and Iavor I. Bojinov

Typically, multi-armed bandit (MAB) experiments are analyzed at the end of the study and thus require the analyst to specify a fixed sample size in advance. However, in many online learning applications, it is advantageous to continuously produce inference on the... View Details

Keywords: Analytics and Data Science; AI and Machine Learning; Mathematical Methods