Publications
Publications
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- All HBS Web
(1,181)
- Faculty Publications (165)
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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 higher operational costs through more product returns in the online retail industry. Dynamic pricing has been widely applied by many online retailers. Research has shown that, in response to dynamic pricing, some customers... View Details
- March 27, 2017
- Article
How the Water Industry Learned to Embrace Data
By: Frank V. Cespedes and Amir Peleg
Most current talk about “big data” seems to assume the disintermediation or replacement of physical assets by digital technologies. But a bigger and more impactful trend is the use of online tools to improve physical asset utilization in many traditional off-line... View Details
- February 2017
- Case
Yemeksepeti: Growing and Expanding the Business Model through Data
By: William R. Kerr, Gamze Yucaoglu and Eren Kuzucu
In October 2016, Nevzat Aydin, co-founder and CEO of Yemeksepeti, the Turkish online food-ordering company, was looking over the company's quarterly results and projections for the upcoming year with his management team. It had been almost a year and a half since Aydin... View Details
Keywords: Entrepreneurial Management; Entrepreneurial Ventures; Turkey; Big Data; Customer Focused Organization; Service Management; Continuous Improvement; Data Analysis; Internet; Growth Strategy; Technological Change; Information Systems; Entrepreneurship; Corporate Strategy; Analytics and Data Science; Analysis; Customer Focus and Relationships; Emerging Markets; Service Operations; Competitive Advantage; Performance Improvement; Internet and the Web; Growth and Development Strategy; Information Technology; Value Creation; Food and Beverage Industry; Turkey
- January 2017 (Revised March 2017)
- Case
IBM Transforming, 2012–2016: Ginni Rometty Steers Watson
By: Rosabeth Moss Kanter and Jonathan Cohen
To transform IBM for the next technology wave, Ginni Rometty, who became CEO in 2012, led divestment of declining businesses, made acquisitions in digital innovation and cloud computing, formed partnerships with former competitors such as Apple and tech startups, and... View Details
- 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
- September 2016
- Article
Do Display Ads Influence Search?: Attribution and Dynamics in Online Advertising
By: Pavel Kireyev, Koen Pauwels and Sunil Gupta
As firms increasingly rely on online media to acquire consumers, marketing managers feel comfortable justifying higher online marketing spending by referring to online metrics such as click-through rate (CTR) and cost per acquisition (CPA). However, these standard... View Details
- 2016
- Article
Peer-to-Peer Markets
By: Liran Einav, Chiara Farronato and Jonathan Levin
Peer-to-peer markets such as eBay, Uber, and Airbnb allow small suppliers to compete with traditional providers of goods or services. We view the primary function of these markets as making it easy for buyers to find sellers and engage in convenient, trustworthy... View Details
- 2016
- Working Paper
The Empirical Economics of Online Attention
By: Andre Boik, Shane Greenstein and Jeffrey Prince
In several markets, firms compete not for consumer expenditure but instead for consumer attention. We model and characterize how households allocate their scarce attention in arguably the largest market for attention: the Internet. Our characterization of household... View Details
- 2016
- Book
Innovation Policy and the Economy, Volume 17
By: Shane Greenstein, Josh Lerner and Scott Stern
The seventeenth volume of the National Bureau of Economic Research’s Innovation Policy and the Economy provides an accessible forum for bringing the work of leading academic researchers to an audience of policymakers and those interested in the interaction... View Details
- Article
Crowdsourcing City Government: Using Tournaments to Improve Inspection Accuracy
By: Edward Glaeser, Andrew Hillis, Scott Duke Kominers and Michael Luca
The proliferation of big data makes it possible to better target city services like hygiene inspections, but city governments rarely have the in-house talent needed for developing prediction algorithms. Cities could hire consultants, but a cheaper alternative is to... View Details
- Spring 2016
- Article
The Billion Prices Project: Using Online Prices for Inflation Measurement and Research
By: Alberto Cavallo and Roberto Rigobon
New data-gathering techniques, often referred to as “Big Data” have the potential to improve statistics and empirical research in economics. In this paper we describe our work with online data at the Billion Prices Project at MIT and discuss key lessons for both... View Details