Publications
Publications
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- All HBS Web
(643)
- Faculty Publications (111)
- October 2021
- Case
(180) Days of Quibi
By: David J. Collis and Terrence Shu
Mobile streaming app Quibi was ready to take the entertainment world by storm at its April 2020 launch. Backed by $1.75 billion, influential investors from Hollywood to Wall Street eagerly anticipated early success for this brainchild of Meg Whitman, former CEO of... View Details
- October 1, 2021
- Article
An Evaluation of Cross-efficiency Methods: With an Application to Warehouse Performance.
By: B.M. Balk, M.R. De Koster, Christian Kaps and J.L. Zofio
Cross-efficiency measurement is an extension of Data Envelopment Analysis that allows for tie-breaking ranking of the Decision Making Units (DMUs) using all the peer evaluations. In this article we examine the theory of cross-efficiency measurement by comparing a... View Details
- August 2021 (Revised September 2022)
- Case
Patch Technology: Making It Easy to Do the Right Thing
By: Tomomichi Amano, Robert J. Dolan and Carol Zhang
In 2021, the growing threat of climate change pushed companies around the world to understand that significant behavioral change was necessary. While many recognized that decreasing emissions was critical, more sophisticated players such as Microsoft began to recognize... View Details
- June 2021
- Article
Does the Freedom of Information Act Foil the Securities and Exchange Commission's Intent to Keep Investigations Confidential?
By: Braiden Coleman, Kenneth Merkley, Brian Miller and Joseph Pacelli
The Securities and Exchange Commission (SEC) has a long-standing policy to keep formal investigations confidential. In this study, we examine the extent to which compliance with the Freedom of Information Act (FOIA) provides investors with information about ongoing SEC... View Details
- May 2021 (Revised February 2024)
- Teaching Note
THE YES: Reimagining the Future of E-Commerce with Artificial Intelligence (AI)
By: Ayelet Israeli and Jill Avery
THE YES, a multi-brand shopping app launched in May 2020 offered a new type of buying experience for women’s fashion, driven by a sophisticated algorithm that used data science and machine learning to create and deliver a personalized store for every shopper, based on... View Details
Keywords: Data; Data Analytics; Artificial Intelligence; AI; AI Algorithms; AI Creativity; Fashion; Retail; Retail Analytics; E-Commerce Strategy; Platform; Platforms; Big Data; Preference Elicitation; Predictive Analytics; App Development; ＂Marketing Analytics＂; Advertising; Mobile App; Mobile Marketing; Apparel; Online Advertising; Referral Rewards; Referrals; Female Ceo; Female Entrepreneur; Female Protagonist; Analytics and Data Science; Analysis; Creativity; Marketing Strategy; Brands and Branding; Consumer Behavior; Demand and Consumers; Forecasting and Prediction; Marketing Channels; Digital Marketing; Internet and the Web; Mobile and Wireless Technology; AI and Machine Learning; E-commerce; Digital Platforms; Fashion Industry; Retail Industry; Apparel and Accessories Industry; Consumer Products Industry; United States
- March 2021
- Article
Increasing the Level of Abstraction as a Strategy for Accelerating the Adoption of Complex Technologies
By: Willy C. Shih
Many new technologies are complex and embody high levels of technical sophistication, and applying them should require significant knowledge and experience. Yet, the rapid adoption and incorporation of these technologies into other innovations seems inconsistent with... View Details
- 2021
- Working Paper
Assessing the Strength of Network Effects in Social Network Platforms
By: Marco Iansiti
Network effects have risen to the forefront of platform competition discussions (e.g. the House Judiciary investigation of competition in digital markets, claiming that Facebook, for example, is entrenched due to strong network effects and high switching costs). While... View Details
- January 2021 (Revised March 2021)
- Case
THE YES: Reimagining the Future of E-Commerce with Artificial Intelligence (AI)
By: Jill Avery, Ayelet Israeli and Emma von Maur
THE YES, a multi-brand shopping app launched in May 2020 offered a new type of buying experience for women’s fashion, driven by a sophisticated algorithm that used data science and machine learning to create and deliver a personalized store for every shopper, based on... View Details
Keywords: Data; Data Analytics; Artificial Intelligence; AI; AI Algorithms; AI Creativity; Fashion; Retail; Retail Analytics; E-Commerce Strategy; Platform; Platforms; Big Data; Preference Elicitation; Preference Prediction; Predictive Analytics; App Development; ＂Marketing Analytics＂; Advertising; Mobile App; Mobile Marketing; Apparel; Online Advertising; Referral Rewards; Referrals; Female Ceo; Female Entrepreneur; Female Protagonist; Analytics and Data Science; Analysis; Creativity; Marketing Strategy; Brands and Branding; Consumer Behavior; Demand and Consumers; Forecasting and Prediction; Marketing Channels; Digital Marketing; Internet and the Web; Mobile and Wireless Technology; AI and Machine Learning; E-commerce; Digital Platforms; Fashion Industry; Retail Industry; Apparel and Accessories Industry; Consumer Products Industry; United States
- Winter 2021
- Article
Dealmaking Disrupted: The Unexplored Power of Social Media in Negotiation
By: James K. Sebenius, Ben Cook, David A. Lax, Isaac Silberberg and Paul Levy
While social media has had profound effects in many realms, the theory and practice of negotiation have remained relatively untouched by this potent phenomenon. In this article, we survey existing research in this area and develop a broader framework for understanding... View Details
- 2021
- Book
Harvard Business Review Family Business Handbook: How to Build and Sustain a Successful, Enduring Enterprise
By: Josh Baron and Rob Lachenauer
Navigate the complex decisions and critical relationships necessary to create and sustain a healthy family business--and business family. Though "family business" may sound like it refers only to mom-and-pop shops, businesses owned by families are among the most... View Details
- March 2020
- Case
A Tower for the People: 425 Park Avenue
By: John Macomber, Joseph G. Allen and Emily Jones
Healthy buildings and superior air quality are increasingly important since people now spend so much time indoors. Indoor spaces drive performance and productivity. Commercial real estate landlords and investors are responding to the demands of sophisticated tenants... View Details
- March 2020
- Article
Which Early Withdrawal Penalty Attracts the Most Deposits to a Commitment Savings Account?
By: John Beshears, James J. Choi, Christopher Harris, David Laibson, Brigitte C. Madrian and Jung Sakong
Previous research has shown that some people voluntarily use commitment contracts that restrict their own choice sets. We study how people divide money between two accounts: a liquid account that permits unrestricted withdrawals and a commitment account that is... View Details
- January–February 2020
- Article
Competing in the Age of AI
By: Marco Iansiti and Karim R. Lakhani
Today’s markets are being reshaped by a new kind of firm—one in which artificial intelligence (AI) runs the show. This cohort includes giants like Google, Facebook, and Alibaba, and growing businesses such as Wayfair and Ocado. Every time we use their services, the... View Details
- 2020
- Book
Competing in the Age of AI: Strategy and Leadership When Algorithms and Networks Run the World
By: Marco Iansiti and Karim R. Lakhani
In industry after industry, data, analytics, and AI-driven processes are transforming the nature of work. While we often still treat AI as the domain of a specific skill, business function, or sector, we have entered a new era in which AI is challenging the very... View Details
- 2019
- Book
The Economic Turn: Recasting Political Economy in Enlightenment Europe
By: Steven L. Kaplan and Sophus A. Reinert
The mid-eighteenth century witnessed what might be dubbed an “economic turn” that resolutely changed the trajectory of world history. From the birth of new agricultural practices and the foundation of private societies to the sustained and popular theorization of... View Details
- May 2019
- Article
Marketplace Lending: A New Banking Paradigm?
By: Boris Vallée and Yao Zeng
Marketplace lending relies on large-scale loan screening by investors, a major deviation from the traditional banking paradigm. Theoretically, participation of sophisticated investors in marketplace lending improves screening outcomes but also creates adverse... View Details
- February 2019
- Article
The Market for Financial Adviser Misconduct
By: Mark Egan, Gregor Matvos and Amit Seru
We construct a novel database containing the universe of financial advisers in the United States from 2005 to 2015, representing approximately 10% of employment of the finance and insurance sector. We provide the first large-scale study that documents the economy-wide... View Details
- January 2019
- Case
AIME High: A Social Entrepreneur's Moon Shot
Describes the entrepreneurial leadership of Jack Manning Bancroft (JMB), a young Indigenous Australian university student who created the Australian Indigenous Mentoring Experience (AIME), a nonprofit organization he formed to respond to the problem of Indigenous high... View Details
- 2018
- Working Paper
The State of Open Source Server Software
By: Shane Greenstein and Klaus Ackermann
The study assembles new data to construct a census of worldwide web server use across the globe. We document a large concentration of investment in the United States, and a wide dispersion across scores of countries. We find tens of billions of dollars of unmeasured... View Details
- August 2018 (Revised September 2018)
- Supplement
LendingClub (C): Gradient Boosting & Payoff Matrix
By: Srikant M. Datar and Caitlin N. Bowler
This case builds directly on the LendingClub (A) and (B) cases. In this case students follow Emily Figel as she builds an even more sophisticated model using the gradient boosted tree method to predict, with some probability, whether a borrower would repay or default... View Details