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- June 2021
- Case
uBiome
By: Thomas R. Eisenmann and Olivia Graham
uBiome provided clinical tests that sequenced the DNA of human microbiome samples, providing data on health conditions directly to consumers or to prescribing physicians. Founded in 2012, the San Francisco-based startup raised $105 million from top-tier venture capital... View Details
- 2021
- Working Paper
Equilibrium Effects of Pay Transparency
By: Zoë B. Cullen and Bobak Pakzad-Hurson
The public discourse around pay transparency has focused on the direct effect: how workers seek
to rectify newly-disclosed pay inequities through renegotiations. The question of how wage-setting
and hiring practices of the firm respond in equilibrium has received... View Details
- 2021
- Chapter
Digital Transformation and the Salesforce: Observations, Warnings, and Recommendations
Sales is a crucial test for organizational change, including productive use (or not) of new technologies. Changes in selling always have wider organizational implications, because so many other decisions and resource commitments in firms depend upon demand forecasts... View Details
- May 2021 (Revised August 2021)
- Case
Airbnb During the Pandemic: Stakeholder Capitalism Faces a Critical Test
By: Benjamin C. Esty and Allison Ciechanover
As the COVID pandemic spread in early 2020, global travel ground to a halt. For Airbnb, the San Francisco-based platform for renting accommodations, the impact was both swift and severe as revenues plummeted more than 70% over the prior year. Responding to the sudden... View Details
Keywords: COVID-19 Pandemic; Business and Stakeholder Relations; Corporate Governance; Crisis Management; Leadership; Digital Platforms; Corporate Social Responsibility and Impact; Mission and Purpose; Value Creation; Decision Making; Goals and Objectives; Cross-Cultural and Cross-Border Issues; Travel Industry; Tourism Industry; Service Industry; United States
- Article
A Megastudy of Text-Based Nudges Encouraging Patients to Get Vaccinated at an Upcoming Doctor's Appointment
By: Katherine L. Milkman, Mitesh S. Patel, Linnea Gandhi, Heather N. Graci, Dena M. Gromet, Hung Ho, Joseph S. Kay, Timothy W. Lee, Modupe Akinola, John Beshears, Jonathan E. Bogard, Alison Buttenheim, Christopher F. Chabris, Gretchen B. Chapman, James J. Choi, Hengchen Dai, Craig R. Fox, Amir Goren, Matthew D. Hilchey, Jillian Hmurovic, Leslie K. John, Dean Karlan, Melanie Kim, David Laibson, Cait Lamberton, Brigitte C. Madrian, Michelle N. Meyer, Maria Modanu, Jimin Nam, Todd Rogers, Renante Rondina, Silvia Saccardo, Maheen Shermohammed, Dilip Soman, Jehan Sparks, Caleb Warren, Megan Weber, Ron Berman, Chalanda N. Evans, Christopher K. Snider, Eli Tsukayama, Christophe Van den Bulte, Kevin G. Volpp and Angela L. Duckworth
Many Americans fail to get life-saving vaccines each year, and the availability of a vaccine for COVID-19 makes the challenge of encouraging vaccination more urgent than ever. We present a large field experiment (N = 47,306) testing 19 nudges delivered to patients via... View Details
Keywords: Vaccination; COVID-19; Nudge; Influenza; Field Experiment; Health; Communication Strategy; Behavior
- Article
Large-Scale Field Experiment Shows Null Effects of Team Demographic Diversity on Outsiders' Willingness to Support the Team
By: Edward H. Chang, Erika L. Kirgios and Rosanna K. Smith
Demographic diversity in the United States is rising, and increasingly, work is conducted in teams. These co-occurring phenomena suggest that it might be increasingly common for work to be conducted by demographically diverse teams. But to date, in spite of copious... View Details
- May–June 2021
- Article
Why Start-ups Fail
If you’re launching a business, the odds are against you: Two-thirds of start-ups never show a positive return. Unnerved by that statistic, a professor of entrepreneurship at Harvard Business School set out to discover why. Based on interviews and surveys with hundreds... View Details
- 2020
- Working Paper
Is Accounting Useful for Forecasting GDP Growth? A Machine Learning Perspective
We provide a comprehensive examination of whether, to what extent, and which accounting variables are useful for improving the predictive accuracy of GDP growth forecasts. We leverage statistical models that accommodate a broad set of (341) variables—outnumbering the... View Details
- April 2021
- Teaching Note
Thingtesting: Launching a Brand Discovery and Testing Digital Community
By: Ayelet Israeli and Jill Avery
Teaching Note for the "Thingtesting: Launching a Brand Discovery and Testing Digital Community" HBS Case No. 520-086. View Details
Keywords: Influencer Marketing; Influencers; Influencer; Monetization; Monetization Strategy; Female; Female Entrepreneur; Female Protagonist; Direct-to-consumer; Marketing; Brands and Branding; Marketing Strategy; Venture Capital; Entrepreneurship; Marketing Communications; Consumer Products Industry; Financial Services Industry; Advertising Industry; London; United Kingdom; Europe; North America
- April 2021
- Article
Homing and Platform Responses to Entry: Historical Evidence from the U.S. Newspaper Industry
By: K. Francis Park, Robert Seamans and Feng Zhu
We examine how heterogeneity in customers’ tendencies to single-home or multi-home affects a platform’s competitive responses to new entrants in the market. We first develop a formal model to generate predictions about how a platform will respond. We then empirically... View Details
- April–May 2021
- Article
Labor Mobility and Antitakeover Provisions
By: Aiyesha Dey and Joshua White
How do firms protect their human capital? We test whether firms facing an increased threat of being acquired strengthen their antitakeover provisions (ATPs) in order to bond with their employees. We use the adoption of the Inevitable Disclosure Doctrine (IDD) by U.S.... View Details
- April 2021
- Article
The Effects of Quota Frequency: Sales Performance and Product Focus
By: Doug J. Chung, Das Narayandas and Dongkyu Chang
This study investigates the comprehensive and multidimensional effects of quota (goal) frequency on sales force performance. We develop a theory of salespeople’s behavior—aggregate effort and the product type focus—in response to the temporal length of a sales-quota... View Details
- March 2021
- Supplement
Artea (A), (B), (C), and (D): Designing Targeting Strategies
By: Eva Ascarza and Ayelet Israeli
Power Point Supplement to Teaching Note for HBS No. 521-021,521-022,521-037,521-043. This collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing—implications, causes, and possible solutions. Part (A) focuses on... View Details
Keywords: Targeted Advertising; Targeting; Algorithmic Data; Bias; A/B Testing; Experiment; Advertising; Gender; Race; Diversity; Marketing; Customer Relationship Management; Prejudice and Bias; Analytics and Data Science; Retail Industry; Apparel and Accessories Industry; Technology Industry; United States
- 2021
- Working Paper
Cognitive Biases: Mistakes or Missing Stakes?
By: Benjamin Enke, Uri Gneezy, Brian Hall, David Martin, Vadim Nelidov, Theo Offerman and Jeroen van de Ven
Despite decades of research on heuristics and biases, empirical evidence on the effect of large incentives—as present in relevant economic decisions—on cognitive biases is scant. This paper tests the effect of incentives on four widely documented biases: base rate... View Details
- Article
A Feasibility Study Using Time-driven Activity-based Costing as a Management Tool for Provider Cost Estimation: Lessons from the National TB Control Program in Zimbabwe in 2018
By: J. Chirenda, B. Nhlema Simwaka, C. Sandy, K. Bodnar, S. Corbin, P. Desai, T. Mapako, S. Shamu, C. Timire, E. Antonio, A. Makone, A. Birikorang, T. Mapuranga, M. Ngwenya, T. Masunda, M. Dube, E. Wandwalo, L. Morrison and R. S. Kaplan
Background: This study used process maps and time-driven activity-based costing to document TB service delivery processes. The analysis identified the resources required to sustain TB services in Zimbabwe, as well as several opportunities for more effective and... View Details
- March 16, 2021
- Article
From Driverless Dilemmas to More Practical Commonsense Tests for Automated Vehicles
By: Julian De Freitas, Andrea Censi, Bryant Walker Smith, Luigi Di Lillo, Sam E. Anthony and Emilio Frazzoli
For the first time in history, automated vehicles (AVs) are being deployed in populated environments. This unprecedented transformation of our everyday lives demands a significant undertaking: endowing
complex autonomous systems with ethically acceptable behavior. We... View Details
- March 2021
- Case
VideaHealth: Building the AI Factory
By: Karim R. Lakhani and Amy Klopfenstein
Florian Hillen, co-founder and CEO of VideaHealth, a startup that used artificial intelligence (AI) to detect dental conditions on x-rays, spent the early years of his company laying the groundwork for an AI factory. A process for quickly building and iterating on new... View Details
Keywords: Artificial Intelligence; Innovation and Invention; Disruptive Innovation; Technological Innovation; Information Technology; Applications and Software; Technology Adoption; Digital Platforms; Entrepreneurship; AI and Machine Learning; Technology Industry; Medical Devices and Supplies Industry; North and Central America; United States; Massachusetts; Cambridge
- March 2021
- Article
Bayesian Signatures of Confidence and Central Tendency in Perceptual Judgment
By: Yang Xiang, Thomas Graeber, Benjamin Enke and Samuel Gershman
This paper theoretically and empirically investigates the role of Bayesian noisy cognition in perceptual judgment, focusing on the central tendency effect: the well-known empirical regularity that perceptual judgments are biased towards the center of the... View Details
- 2021
- Chapter
Dis-Atlanticism: The West in an Era of Global Fragmentation
By: Rawi Abdelal and Ulrich Krotz
BOOK ABSTRACT: Is the EU a Success or a Failure? Should It Stay or Should It Go? Britain and the EU. The Big Waste or Essential to Feed Europe? The Common Agricultural Policy. Observers of the European Union could be forgiven in thinking that since its inception the EU... View Details
- February 2021
- Tutorial
Assessing Prediction Accuracy of Machine Learning Models
By: Michael Toffel and Natalie Epstein
This video describes how to assess the accuracy of machine learning prediction models, primarily in the context of machine learning models that predict binary outcomes, such as logistic regression, random forest, or nearest neighbor models. After introducing and... View Details