Publications
Publications
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- Faculty Publications (160)
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- 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
- 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
- Forthcoming
- Article
Outcome-Driven Dynamic Refugee Assignment with Allocation Balancing
By: Kirk Bansak and Elisabeth Paulson
This study proposes two new dynamic assignment algorithms to match refugees and asylum seekers to geographic localities within a host country. The first, currently implemented in a multi-year pilot in Switzerland, seeks to maximize the average predicted employment... View Details
- Research Summary
Overview
By: Iavor I. Bojinov
Over the last decade, technology companies like Amazon, Google, and Netflix have pioneered data-driven research and development processes centered on massive experimentation. However, as companies increase the breadth and scale of their experiments to millions of... View Details
- Research Summary
Overview
By: John A. Deighton
Professor Deighton conducts research at the intersection of information technology and marketing. He is interested in the complementary uses of human and artificial intelligence and creativity in areas such as advertising, content creation, and online retailing. He... View Details
- Research Summary
Overview
By: Chiara Farronato
Based on a broad interest in the economics of innovation and the Internet, Professor Farronato concentrates her research on the evolution of e-commerce and peer-to-peer online platforms, including platform adoption, economies of scale, and drivers of heterogeneous... View Details
- Research Summary
Overview
Professor Ferreira's research primarily focuses on how retailers can use algorithms to make better revenue management decisions, including pricing, product display, and assortment planning. In the retail industry, anticipating consumer demand is arguably one of the... View Details
- Research Summary
Overview
By: Ayelet Israeli
Professor Israeli utilizes econometric methods and field experiments to study data driven decision making in marketing context. Her research focuses on data-driven marketing, with an emphasis on how businesses can leverage their own data, customer data, and market data... View Details
- Forthcoming
- 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
- Forthcoming
- Article
Setting Gendered Expectations? Recruiter Outreach Bias in Online Tech Training Programs
By: Jacqueline N. Lane, Karim R. Lakhani and Roberto Fernandez
Competence development in digital technologies, analytics, and artificial intelligence is increasingly important to all types of organizations and their workforce. Universities and corporations are investing heavily in developing training programs, at all tenure... View Details
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