Publications
Publications
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- All HBS Web
(1,178)
- Faculty Publications (166)
- 2012
- Article
Exploring Re-Identification Risks in Public Domains
By: Aditi Ramachandran, Lisa Singh, Edward Porter and Frank Nagle
While re-identification of sensitive data has been studied extensively, with the emergence of online social networks and the popularity of digital communications, the ability to use public data for re-identification has increased. This work begins by presenting two... View Details
- June 2012 (Revised August 2013)
- Case
Driving Towards a Disruption?
By: Willy Shih and William Noble
As Clayton Christensen drove to the studio to deliver an online executive education class, he pondered the future of management education. How big a threat did online degree programs, corporate universities, and other innovations in the delivery of management training... View Details
- May 2010
- Article
Bye Bye Bundles: The Unbundling of Music in Digital Channels
By: Anita Elberse
Fueled by digital distribution, unbundling is prevalent in many information industries. What is the effect of this unbundling on sales? And what bundle characteristics drive this effect? I empirically examine these questions in the context of the music industry, using... View Details
- March 2010
- Article
I'll Have the Ice Cream Soon and the Vegetables Later: A Study of Online Grocery Purchases and Order Lead Time
By: Katherine L. Milkman, Todd Rogers and Max Bazerman
How do decisions made for tomorrow or two days in the future differ from decisions made for several days in the future? We use data from an online grocer to address this question. In general, we find that as the delay between order completion and delivery increases,... View Details
- February 2010 (Revised October 2010)
- Case
YouTube: Time to Charge Users?
By: Anita Elberse and Sunil Gupta
In January 2010, YouTube, the world's largest online video aggregator, was still seeking to become profitable. Was the time right for Google, YouTube's parent company, to charge users seeking to upload content, as some analysts had suggested—and if so, who should be... View Details
- 2010
- Article
Impact of Online Consumer Reviews on Sales: The Moderating Role of Product and Consumer Characteristics
By: Feng Zhu and Michael Zhang
This article examines how product and consumer characteristics moderate the influence of online consumer reviews on product sales using data from the video game industry. The findings indicate that online reviews are more influential for less popular games and games... View Details
- June 2009
- Article
Highbrow Films Gather Dust: Time-inconsistent Preferences and Online DVD Rentals
By: Katherine L. Milkman, Todd Rogers and Max H. Bazerman
We report on a field study demonstrating systematic differences between the preferences people anticipate they will have over a series of options in the future and their subsequent revealed preferences over those options. Using a novel panel data set, we analyze the... View Details
- 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
- 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
- October 2007
- Article
The Effectiveness of Pre-Release Advertising for Motion Pictures: An Empirical Investigation Using a Simulated Market
By: Anita Elberse and Bharat N. Anand
One of the most visible and publicized trends in the movie industry is the escalation in movie advertising expenditures over time. Yet, the returns to movie advertising are poorly understood. The main reason is that disentangling the causal effect of advertising on... View Details
- 2007
- Working Paper
A Taste For Obscurity: An Individual-Level Examination of 'Long Tail' Consumption
By: Anita Elberse
Because online retailers are often able to provide products in a more cost-efficient manner than bricks-and-mortar stores, online channels are characterized by a vast assortment of products. Proponents of the "long tail" principle recently argued that the demand for... View Details
- 2007
- Working Paper
Highbrow Films Gather Dust: Time-inconsistent Preferences and Online DVD Rentals
By: Katherine L. Milkman, Todd Rogers and Max H. Bazerman
We report on a field study demonstrating systematic differences between the preferences people anticipate they will have over a series of options in the future and their subsequent revealed preferences over those options. Using a novel panel data set, we analyze the... View Details
- 2007
- Working Paper
I'll Have the Ice Cream Soon and the Vegetables Later: A Study of Online Grocery Purchases and Order Lead Time
By: Katherine L. Milkman, Todd Rogers and Max H. Bazerman
How do decisions made for tomorrow or two days in the future differ from decisions made for several days in the future? We use data from an online grocer to address this question. In general, we find that as the delay between order completion and delivery increases,... View Details
- April 2004
- Tutorial
Yield Curves and Bond Ratings Tutorial
To preview this online product, Authorized Faculty can call our customer service department at 1-800-545-7685 or 617-783-7600. This online tutorial explains what drives the shape of the yield curve for traded debt securities. Also describes the metrics used by rating... View Details
- August 2002 (Revised June 2006)
- Case
Great Dakota Bank: Online Banking
By: Frances X. Frei, Youngme E. Moon and Hanna Rodriguez-Farrar
In 2002, Great Dakota Bank's retail division is considering how heavily it should be promoting the company's online banking service. A recent promotional campaign appears to have significantly increased enrollments in online banking, but it is unclear whether the bank... View Details
- October 2001 (Revised October 2017)
- Case
Pilgrim Bank (A): Customer Profitability
By: Frances X. Frei and Dennis Campbell
Provides a context in which students can explore managerial decision making that is critically informed by data analysis. The setting is a retail bank and the decision making relates to the bank's policy toward online banking. The management team is evaluating whether... View Details
- December 2000
- Background Note
Online Portals
By: Thomas R. Eisenmann and Sanjay Pothen
Describes the online portal business model. Analyzes the model, focusing on the tactics used to acquire new users, turn new users into repeat visitors, and monetize user traffic. Explains portals' revenue and cost drivers and their implications for pursuing aggressive... View Details
- Forthcoming
- Article
Engaging Customers with AI in Online Chats: Evidence from a Randomized Field Experiment
By: Shunyuan Zhang and Das Narayandas
We examine how artificial intelligence (AI) affected the productivity of customer service agents and customer sentiment in online interactions. Collaborating with a meal delivery company, we conducted a randomized field experiment that exploited exogenous variation in... View Details
- Teaching Interest
Harvard Business Analytics Program
The Harvard Business Analytics Program is offered through a collaboration between Harvard Business School (HBS), the John A. Paulson School of Engineering and Applied Sciences (SEAS), and the Faculty of Arts and Sciences (FAS).
Designed for... View Details
- Forthcoming
- Article
Human-Algorithm Collaboration with Private Information: Naïve Advice Weighting Behavior and Mitigation
By: Maya Balakrishnan, Kris Ferreira and Jordan Tong
Even if algorithms make better predictions than humans on average, humans may sometimes have private information which an algorithm does not have access to that can improve performance. How can we help humans effectively use and adjust recommendations made by... View Details