Publications
Publications
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- All HBS Web
(120)
- Faculty Publications (18)
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- 2024
- Working Paper
The Value of Silence: The Effect of UMG’s Licensing Dispute with TikTok on Music Demand
By: Mengjie (Magie) Cheng, Elie Ofek and Hema Yoganarasimhan
Social media platforms like TikTok have transformed how music is discovered, consumed, and
monetized. This study examines the implications of the dispute between TikTok and Universal Music
Group (UMG), which resulted in UMG excluding its music from TikTok from... View Details
- Working Paper
Visual Uniqueness in Peer-to-Peer Marketplaces: Machine Learning Model Development, Validation, and Application
By: Flora Feng, Charis Li and Shunyuan Zhang
Peer-to-peer (P2P) marketplaces have seen exponential growth in recent years featured by unique offerings from individual providers. Despite the perceived value of uniqueness, scalable quantification of visual uniqueness in P2P platforms like Airbnb has been largely... View Details
- October 2023 (Revised March 2024)
- Case
Fortinet: Cybersecurity Pioneer Ken Xie Considers the Long Game
By: Tsedal Neeley, Jeff Huizinga and Emily Grandjean
Ken Xie, cofounder of cybersecurity giant Fortinet, faced a critical decision that would validate his leadership. Fortinet became the industry’s second-largest pureplay cybersecurity firm by developing differentiated hardware and investing in R&D. However, after a... View Details
- 2023
- Working Paper
Design-Based Confidence Sequences: A General Approach to Risk Mitigation in Online Experimentation
By: Dae Woong Ham, Michael Lindon, Martin Tingley and Iavor Bojinov
Randomized experiments have become the standard method for companies to evaluate the performance of new products or services. In addition to augmenting managers’ decision-making, experimentation mitigates risk by limiting the proportion of customers exposed to... View Details
- March–April 2023
- Article
Market Segmentation Trees
By: Ali Aouad, Adam Elmachtoub, Kris J. Ferreira and Ryan McNellis
Problem definition: We seek to provide an interpretable framework for segmenting users in a population for personalized decision making. Methodology/results: We propose a general methodology, market segmentation trees (MSTs), for learning market... View Details
- October 2021
- Article
Overcoming the Cold Start Problem of CRM Using a Probabilistic Machine Learning Approach
By: Nicolas Padilla and Eva Ascarza
The success of Customer Relationship Management (CRM) programs ultimately depends on the firm's ability to understand consumers' preferences and precisely capture how these preferences may differ across customers. Only by understanding customer heterogeneity, firms can... View Details
- August 2021
- Article
Rate-Amplifying Demand and the Excess Sensitivity of Long-Term Rates
By: Samuel G. Hanson, David O. Lucca and Jonathan H. Wright
Long-term nominal interest rates are surprisingly sensitive to high-frequency (daily or monthly) movements in short-term rates. Since 2000, this high-frequency sensitivity has grown even stronger in U.S. data. By contrast, the association between low-frequency changes... View Details
- February 2021 (Revised March 2022)
- Case
TikTok in 2020: Super App or Supernova?
By: Jeffrey F. Rayport, Dan Maher and Dan O'Brien
TikTok’s parent company, ByteDance, was launched in 2012 around a simple idea – helping users entertain themselves on their smartphones while on the Beijing Subway. In less than a decade, it had become one of the world’s most valuable private companies, with investors... View Details
Keywords: Business Model; Business Startups; Business Organization; Change Management; Disruption; Cross-Cultural and Cross-Border Issues; Global Strategy; Health Pandemics; Innovation Strategy; Growth and Development Strategy; Growth Management; Brands and Branding; Marketing Strategy; Marketing Channels; Network Effects; Digital Platforms; Product Design; Product Development; Partners and Partnerships; Opportunities; Social Issues; Mobile and Wireless Technology; Internet and the Web; Value Creation; United States; China
- March 2020
- Article
Diagnosing Missing Always at Random in Multivariate Data
By: Iavor I. Bojinov, Natesh S. Pillai and Donald B. Rubin
Models for analyzing multivariate data sets with missing values require strong, often assessable, assumptions. The most common of these is that the mechanism that created the missing data is ignorable—a twofold assumption dependent on the mode of inference. The first... View Details
- 2020
- Working Paper
Overcoming the Cold Start Problem of CRM Using a Probabilistic Machine Learning Approach
By: Eva Ascarza
The success of Customer Relationship Management (CRM) programs ultimately depends on the firm's ability to understand consumers' preferences and precisely capture how these preferences may differ across customers. Only by understanding customer heterogeneity, firms can... View Details
- January 2019 (Revised July 2021)
- Case
Analytical Space: The Next Frontier?
By: Thomas R. Eisenmann, Jeffrey J. Bussgang and David Lane
With one satellite aloft and in the midst of beta testing in late 2018, Analytical Space founders Justin Oliveira and Dan Nevius turned to critical questions about the pioneering startup’s go-to-market, pricing, and business development strategy. Analytical Space aimed... View Details
- Article
Real Effects of Relational Contracts
By: Steven Blader, Claudine Gartenberg, Rebecca Henderson and Andrea Pratt
How important are factors such as "firm culture" and "employee engagement" in driving firm performance? Increasing evidence from a wide range of fields suggests that productivity differs widely across firms, even after the inclusion of careful controls for factors such... View Details
- Article
Integration of Online and Offline Channels in Retail: The Impact of Sharing Reliable Inventory Availability Information
By: Santiago Gallino and Antonio Moreno
Using a proprietary data set, we analyze the impact of the implementation of a “buy-online, pick-up-in-store” (BOPS) project. The implementation of this project is associated with a reduction in online sales and an increase in store sales and traffic. These results can... View Details
- July–August 2013
- Article
A Joint Model of Usage and Churn in Contractual Settings
By: Eva Ascarza and Bruce G.S. Hardie
As firms become more customer-centric, concepts such as customer equity come to the fore. Any serious attempt to quantify customer equity requires modeling techniques that can provide accurate multiperiod forecasts of customer behavior. Although a number of researchers... View Details
- March 2013
- Case
An Entrepreneur's New Product Development Journey
By: Elie Ofek
This case tracks the new product development process undertaken by Gauri Nanda, the founder and CEO of Nanda Home, as she ventures to innovate beyond her initial product launches. Having achieved commercial success with her first product Clocky, a roll away alarm clock... View Details
- November 2011 (Revised August 2012)
- Background Note
Customer Discovery and Validation for Entrepreneurs
By: Frank V. Cespedes, Thomas Eisenmann and Steven G. Blank
Provides practical guidelines for conducting market research to explore and validate demand for entrepreneurial offering. Explains how the research objectives of entrepreneurs might differ from those relevant to managers evaluating product or service offerings to... View Details
- November 2011 (Revised August 2012)
- Background Note
Customer Visits for Entrepreneurs
Provides practical guidelines for conducting customer visits to explore and validate demand for an entrepreneurial offering. Reviews conditions under which visits will yield superior insights, compared to other research methods. Describes criteria for selecting visit... View Details
- Forthcoming
- Article
Who Benefits from Online Gig Economy Platforms?
By: Christopher T. Stanton and Catherine Thomas
Online labor platforms for short-term, remote work have many more job seekers than available jobs. Despite their relative abundance, workers capture a substantial share of the surplus from transactions. We draw this conclusion from demand estimates that imply workers'... View Details