Publications
Publications
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- All HBS Web
(117,178)
- Faculty Publications (3,212)
- March 30, 2020
- Article
Why Is the U.S. Behind on Coronavirus Testing?
By: Stefan Thomke
Coronavirus testing is needed to address the uncertainty in making decisions about patient treatment, resource allocation, policy, and so much more. Answers to questions such as “When should we relax social distancing measures—and for whom?” or “How many ventilators... View Details
- March 27, 2020
- Other Article
Lessons from Italy's Response to Coronavirus
By: Gary P. Pisano, Raffaella Sadun and Michele Zanini
Policymakers in many parts of Europe and the United States are struggling to bring the rapidly spreading Covid-19 pandemic under control. In doing so, they are repeating many of the mistakes made in Italy, where the pandemic turned into a disaster. A major contributing... View Details
- 2020
- Working Paper
Working (From Home) During a Crisis: Online Social Contributions by Workers During the Coronavirus Shock
By: Prithwiraj Choudhury, Wesley W. Koo and Xina Li
Prior research has documented that during mortality-related crises workers face psychic costs and are motivated to make social contributions. In addition, management practices that encourage workers to make social contributions during a crisis create value for firms.... View Details
- March 2020
- Module Note
Scaling and Sustaining Platform Businesses
By: Feng Zhu
- March 2020
- Module Note
Business Model Transformation in the Platform Age
By: Feng Zhu
Although some digital platforms are highly successful, most firms today are still traditional product- or service-based firms. To take advantage of the opportunities created by platform business models, traditional firms can work with existing platforms to become their... View Details
- Mar 2020
- Conference Presentation
A New Analysis of Differential Privacy's Generalization Guarantees
By: Christopher Jung, Katrina Ligett, Seth Neel, Aaron Roth, Saeed Sharifi-Malvajerdi and Moshe Shenfeld
We give a new proof of the "transfer theorem" underlying adaptive data analysis: that any mechanism for answering adaptively chosen statistical queries that is differentially private and sample-accurate is also accurate out-of-sample. Our new proof is elementary and... View Details
- March–April 2020
- Article
Avoid the Pitfalls of A/B Testing
By: Iavor I. Bojinov, Guillaume Sait-Jacques and Martin Tingley
Online experiments measuring whether “A,” usually the current approach, is inferior to “B,” a proposed improvement, have become integral to the product-development cycle, especially at digital enterprises. But often firms make serious mistakes in conducting these... View Details
- March 2020
- Teaching Note
Babcom: Opening Doors
By: Ryan W. Buell and Joshua D. Margolis
Teaching Note for HBS No. 418-026. View Details
- March–April 2020
- Article
Building A Culture of Experimentation
By: Stefan Thomke
Why don’t organizations test more? After examining this question for several years, I can tell you that the central reason is culture. As companies try to scale up their experimentation capacity, they often find that the obstacles are not tools and technology but... View Details
- 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
- March 2020
- Article
Do Managers Matter? A Natural Experiment from 42 R&D Labs in India
By: Prithwiraj Choudhury, Tarun Khanna and Christos A. Makridis
We exploit plausibly exogenous variation in the staggered entry of new managers into India’s 42 public R&D labs between 1994 and 2006 to study how alignment between the CEO and middle-level managers affect research productivity. We show that the introduction of new lab... View Details
- Article
Innovation Contests for High-Tech Procurement
By: Jin Hyun Paik, Martin Scholl, Rinat A. Sergeev, Steven Randazzo and Karim R. Lakhani
Innovation managers rarely use crowdsourcing as an innovative instrument despite extensive academic and theoretical research. The lack of tools available to compare and measure crowdsourcing, specifically contests, against traditional methods of procuring goods and... View Details
- Working Paper
Rebates in the Pharmaceutical Industry: Evidence from Medicines Sold in Retail Pharmacies in the U.S.
By: Pragya Kakani, Michael Chernew and Amitabh Chandra
Rising list prices are often used to illustrate the burden of prescription drug spending, but payers routinely negotiate rebates from manufacturers that generate differences between list and net prices. List prices are easily available and affect patient cost-sharing,... View Details
- March 2020
- Case
ZEISS Group: Organize by Customer Culture?
By: Willy C. Shih
How should ZEISS, the German manufacturer of precision optical and optoelectronic systems manage two historic businesses that operated fairly autonomously? The Industrial Quality Solutions (IQS) business sold measurement equipment to manufacturing companies in sectors... View Details
- February 2020
- Supplement
Indigo Agriculture: Harnessing Nature
By: Michael W. Toffel and James Barnett
Indigo Agriculture used a digital-enabled research and development (R&D) process to launch its initial product, microbial coatings for agricultural seeds, which increase crop yields while reducing the need for fertilizers. In doing so, the company developed direct... View Details
Keywords: Operations; Supply Chain; Social Enterprise; Product Development; Distribution Channels; Business Strategy; Digital Platforms; Environmental Sustainability; Science-Based Business; Climate Change; Agriculture and Agribusiness Industry; Green Technology Industry; United States; Massachusetts
- 2020
- Working Paper
A General Theory of Identification
By: Iavor Bojinov and Guillaume Basse
What does it mean to say that a quantity is identifiable from the data? Statisticians seem to agree
on a definition in the context of parametric statistical models — roughly, a parameter θ in a model
P = {Pθ : θ ∈ Θ} is identifiable if the mapping θ 7→ Pθ is injective.... View Details
- 2020
- Working Paper
Design in the Age of Artificial Intelligence
By: Roberto Verganti, Luca Vendraminelli and Marco Iansiti
Artificial Intelligence (AI) is affecting the scenario in which innovation takes place. What are the implications for our understanding of design? Is AI just another digital technology that, akin to many others, will not significantly question what we know about... View Details
- February 2020
- Teaching Note
Theranos: Who Has Blood on Their Hands? (A) and (B)
By: Nien-he Hsieh and Christina R. Wing
Teaching Note for HBS Nos. 619-039 and 320-091. View Details