Publications

Article

Effect of Different Financial Incentive Structures on Promoting Physical Activity Among Adults: A Randomized Clinical Trial

By: Chethan Bachireddy, Andrew Joung, Leslie K. John, Francesca Gino, Bradford Tuckfield, Luca Foschini and Katherine L. Milkman

Importance: Few adults engage in recommended levels of physical activity. Financial incentives can promote physical activity, but little is known about how their structure influences their effectiveness; for example, whether incentives are more effective if they are... View Details

Keywords: Physical Activity; Financial Incentives; Motivation and Incentives; Money

August 2019
Article

When and How to Diversify—A Multicategory Utility Model for Personalized Content Recommendation

By: Yicheng Song, Nachiketa Sahoo and Elie Ofek

Sometimes we desire change, a break from the same or an opportunity to fulfill different aspects of our needs. Noting that consumers seek variety, several approaches have been developed to diversify items recommended by personalized recommender systems. However,... View Details

Keywords: Recommender Systems; Personalization; Recommendation Diversity; Variety Seeking; Collaborative Filtering; Consumer Utility Models; Digital Media; Clickstream Analysis; Learning-to-rank; Consumer Behavior; Media; Customization and Personalization; Strategy; Mathematical Methods

2019
Working Paper

The Effect of Payment Choices on Online Retail: Evidence from the 2016 Indian Demonetization

By: Chaithanya Bandi, Antonio Moreno, Donald Ngwe and Zhiji Xu

The Indian banknote demonetization in 2016 was one of the most significant international events of that year. Overnight, 86% of Indian currency in circulation was declared invalid unless exchanged for new bills. The sudden and unexpected demonetization constituted a... View Details

Keywords: Cash On Delivery; Online Retail; Product Returns; Payment Methods; Digitization; Emerging Markets; Currency; Internet and the Web; Demand and Consumers; Retail Industry; India

2019
Working Paper

The Impact of Increasing Search Frictions on Online Shopping Behavior: Evidence from a Field Experiment

By: Donald Ngwe, Kris J. Ferreira and Thales Teixeira

Many online stores are designed such that shoppers can easily access any available discounted products. We propose that deliberately increasing search frictions by placing small obstacles to locating discounted items can improve online retailers’ margins and even... View Details

Keywords: E-commerce; Online Retailing; Friction; Effor; Search Costs; Price Discrimination; Consumer Behavior; Price; Search Technology

January–February 2019
Article

Why Some Platforms Thrive and Others Don't

By: Feng Zhu and Marco Iansiti

In the digital economy, scale is no guarantee of continued success. After all, the same factors that help an online platform expand quickly—such as the low cost of adding new customers—work for challengers too. What, then, allows platforms to fight off rivals and grow... View Details

Keywords: Digital Platforms; Competition; Network Effects; Competitive Strategy

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November 2018
Case

Sportradar (A): From Data to Storytelling

By: Ramon Casadesus-Masanell, Karen Elterman and Oliver Gassmann

In 2013, the Swiss sports data company Sportradar debated whether to expand from its core business of data provision to bookmakers into sports media products. Sports data was becoming a commodity, and in the future, sports leagues might reduce their dependence on... View Details

October 2018 (Revised July 2019)
Case

Sidewalk Labs: Privacy in a City Built from the Internet Up

By: Leslie K. John, Mitchell Weiss and Julia Kelley

Email mking@hbs.edu for a courtesy copy.

By the time Dan Doctoroff, CEO of Sidewalk Labs, began hosting a Reddit “Ask Me Anything” session in January 2018, he had only nine months remaining to convince the people... View Details

2018
Working Paper

Need for Speed: The Impact of Website Performance on Online Retail

By: Santiago Gallino, Nil Karacaoglu and Antonio Moreno

The share of e-commerce sales is rapidly increasing and so are the associated losses generated by website outages and slow websites. We leverage novel retail and website performance data to investigate the impact of website performance on online sales. This question is... View Details

Keywords: Online Retail; Quasi-experiments; Abandonment; Synthetic Control; Internet and the Web; Performance; Service Operations

SSRN

October 2018
Article

The Operational Value of Social Media Information

By: Ruomeng Cui, Santiago Gallino, Antonio Moreno and Dennis J. Zhang

While the value of using social media information has been established in multiple business contexts, the field of operations and supply chain management have not yet explored the possibilities it offers in improving firms' operational decisions. This study attempts to... View Details

Keywords: Machine Learning; Information; Sales; Forecasting and Prediction; Social Media

2018
Working Paper

Opportunistic Returns and Dynamic Pricing: Empirical Evidence from Online Retailing in Emerging Markets

By: Chaithanya Bandi, Antonio Moreno, Donald Ngwe and Zhiji Xu

We investigate how dynamic pricing can lead to more product returns in the online retail industry. Using detailed sales data of more than two million transactions from the Indian online retail market, where price promotions are very common, we document two types of... View Details

Keywords: Cash On Delivery; Dynamic Pricing; Online Retail; Payment Methods; Strategic Customer Behavior; Opportunistic Returns; Price; Policy; Consumer Behavior; Emerging Markets; Retail Industry

SSRN

2019
Working Paper

Large-Scale Demand Estimation with Search Data

By: Tomomichi Amano, Andrew Rhodes and Stephan Seiler

In many online markets, traditional methods of demand estimation are difficult to implement because assortments are very large and individual products are sold infrequently. At the same time, data on consumer search (i.e., browsing) behavior are often available and are... View Details

Keywords: High-dimensional Data; Demand Estimation; Consideration Sets; Consumer Search

SSRN

September 2018
Article

Do Experts or Crowd-Based Models Produce More Bias? Evidence from Encyclopædia Britannica and Wikipedia

By: Shane Greenstein and Feng Zhu

Organizations today can use both crowds and experts to produce knowledge. While prior work compares the accuracy of crowd-produced and expert-produced knowledge, we compare bias in these two models in the context of contested knowledge, which involves subjective,... View Details

Keywords: Online Community; Collective Intelligence; Wisdom Of Crowds; Bias; Wikipedia; Britannica; Knowledge Production; Knowledge Sharing; Knowledge Dissemination; Prejudice and Bias

August 2018 (Revised September 2018)
Case

LendingClub (A): Data Analytic Thinking (Abridged)

By: Srikant M. Datar and Caitlin N. Bowler

LendingClub was founded in 2006 as an alternative, peer-to-peer lending model to connect individual borrowers to individual investor-lenders through an online platform. Since 2014 the company has worked with institutional investors at scale. While the company assigns... View Details

Keywords: Data Science; Data Analytics; Investing; Loans; Investment; Financing and Loans; Analytics and Data Science; Analysis; Forecasting and Prediction; Business Model

Article

Offline Showrooms in Omni-channel Retail: Demand and Operational Benefits

By: David R. Bell, Santiago Gallino and Antonio Moreno

Omnichannel environments where customers shop online and offline at the same retailer are ubiquitous and are deployed by online-first and traditional retailers alike. We focus on the relatively understudied domain of online-first retailers and the engagement of a key... View Details

Keywords: Experience Attributes; Marketing–operations Interface; Omnichannel Retailing; Quasi-experimental Methods; Retail Operations; Showrooms; Marketing Channels; Demand and Consumers; Performance Efficiency; Retail Industry

March 2018
Article

Scraped Data and Sticky Prices

By: Alberto Cavallo

I use daily prices collected from online retailers in five countries to study the impact of measurement bias on three common price stickiness statistics. Relative to previous results, I find that online prices have longer durations, with fewer price changes close to... View Details

Keywords: Online Data; Scraped Data; Sticky Prices; Scanner Data; Consumer Price Index; Price; Data and Data Sets

January–February 2018
Article

Ads That Don't Overstep: How to Make Sure You Don't Take Personalization Too Far

By: Leslie John, Tami Kim and Kate Barasz

Data gathered on the web has vastly enhanced the capabilities of marketers. With people regularly sharing personal details online and internet cookies tracking every click, companies can now gain unprecedented insight into individual consumers and target them with... View Details

Keywords: Digital Marketing; Customization and Personalization; Information; Customers; Attitudes

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December 2017
Teaching Note

Yemeksepeti: Growing and Expanding the Business Model through Data

By: William R. Kerr and Alexis Brownell

Teaching Note for HBS No. 817-095. View Details

Keywords: Turkey; Internet; Online Ordering; Restaurants; Big Data; Entrepreneurship; Analytics and Data Science; Internet and the Web; Growth and Development Strategy; Food and Beverage Industry; Turkey

Article

Channel Integration, Sales Dispersion, and Inventory Management

By: Santiago Gallino, Antonio Moreno and Ioannis Stamatopoulos

We study the effects of the introduction of cross-channel functionalities on the overall sales dispersion of retailers and the implications of these effects for inventory management. To do that, we analyze data from a leading U.S. retailer who introduced a... View Details

Keywords: Retail Operations; Online Retail; Channel Integration; Sales Dispersion; Long Tail; Empirical Operations; Inventory Management; Omnichannel Retail; Marketing Channels; Integration; Sales; Logistics; Operations; Management; Retail Industry

August 2017 (Revised August 2018)
Case

Busbud: Building a Data Company

By: Srikant M. Datar, Alistair Croll and Caitlin N. Bowler

The case features the work of LP Maurice (HBS '08) as he decides to take on the fragmented bus travel industry and launch an online business that aggregates and shares bus schedules for routes around the world. His first challenge: finding that the data he needs is... View Details

Keywords: Data Science; Analytics and Data Science; Business Startups; Knowledge Acquisition; Customers; Measurement and Metrics; Transportation Industry