Publications
Publications
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- All HBS Web
(5,547)
- Faculty Publications (1,028)
- August 2024 (Revised February 2025)
- Case
Novo Nordisk Foundation
By: Debora L. Spar and Julia M. Comeau
In 2024, Novo Nordisk A/S was one of the most profitable firms in the world, thanks largely to just two GLP-1-based drugs, Ozempic and Wegovy. Unusually, this incredibly profitable firm was controlled not by individual private shareholders, but by a non-profit... View Details
Keywords: Pharmaceutical Companies; Diabetes; Obesity; Foundation; Non-profit Management; Profit; Corporate Governance; Business or Company Management; Corporate Social Responsibility and Impact; Expansion; Philanthropy and Charitable Giving; Nonprofit Organizations; Pharmaceutical Industry; Denmark; Europe
- August 2024
- Case
Scaling Seven Starling
By: Ryan W. Buell and Carin-Isabel Knoop
Seven Starling, a maternal mental health startup, is scaling its digital clinic model. Seven Starling addresses perinatal mental health challenges by providing licensed therapists, peer support, and medication to mothers across five states, with a hybrid care model... View Details
- August 2024
- Case
Lucky Ones Coffee: Employing People with Disabilities
By: Richard S. Ruback, Robin Greenwood, Joe Higgins, Matthew Preble and Dave Habeeb
Katie Holyfield and Taylor Matkins founded The Lucky Ones Coffee in 2017 with a mission to create jobs in Park City, Utah for people with intellectual and developmental disabilities. The company quickly earned strong support from the local community, and by early 2023... View Details
- 2024
- Article
Crucibles, Multiple Sensitive Periods, and Career Progression
By: Prithwiraj Choudhury, Sunasir Dutta, Hise O. Gibson and Eric Lin
We study the effects of crucible experiences along multiple sensitive periods on career progression. While prior literature has hinted that individuals can be imprinted during multiple sensitive periods, not just during the early career, there has been scant attention... View Details
- 2024
- Working Paper
Immodest Victims: Victims Who Broadcast Their Victimization Are Seen as Less Morally Virtuous
By: Nathan Dhaliwal, Jillian J. Jordan, Anoushka Kiyawat and Pat Barclay
How do people evaluate victims who advertise their victim status? Because such broadcasting can elicit sympathy and support, we propose that declining to broadcast serves as a costly act of modesty: one is withholding a fact about oneself that could garner resources... View Details
- 2024
- Article
Neyman Meets Causal Machine Learning: Experimental Evaluation of Individualized Treatment Rules
By: Michael Lingzhi Li and Kosuke Imai
A century ago, Neyman showed how to evaluate the efficacy of treatment using a randomized experiment under a minimal set of assumptions. This classical repeated sampling framework serves as a basis of routine experimental analyses conducted by today’s scientists across... View Details
- 2024
- Working Paper
People, Practices, and Productivity: A Review of New Advances in Personnel Economics
By: Mitchell Hoffman and Christopher T. Stanton
This chapter surveys recent advances in personnel economics. We begin by presenting evidence showing substantial and persistent productivity variation among workers in the same roles. We discuss new research on incentives and compensation; hiring practices; the... View Details
- 2024
- Working Paper
Pitch Perfect: Investing in Transportable Presentation Skills to Support Poly-vocal Personae
By: James Riley and Susan S. Silbey
For organizations requiring independent and creative thinking skills for complex problem-solving, especially within a multi-disciplinary pool of collaborators, conventional socialization practices flattening individuality for the sake of uniformity is not necessarily... View Details
- July 2024
- Article
A (Dynamic) Investigation of Stereotypes, Belief-Updating, and Behavior
By: Katherine B. Coffman, Paola Ugalde Araya and Basit Zafar
Many decisions—such as what educational or career path to pursue—are dynamic in nature, with individuals receiving feedback at one point in time and making decisions later. Using a controlled experiment, with two sessions one week apart, we analyze the dynamic effects... View Details
- July–August 2024
- Article
Doing More with Less: Overcoming Ineffective Long-Term Targeting Using Short-Term Signals
By: Ta-Wei Huang and Eva Ascarza
Firms are increasingly interested in developing targeted interventions for customers with the best response,
which requires identifying differences in customer sensitivity, typically through the conditional average treatment
effect (CATE) estimation. In theory, to... View Details
- June 2024
- Case
Alignvest Student Housing: Keep Building or Time to Sell?
By: Shikhar Ghosh and Patrick Sanguineti
Sanjil Shah, Managing Partner of Alignvest Student Housing REIT (ASH), faces the most significant decision thus far in his career: is it the right time to sell the company? Together with his partner Reza Satchu, Shah had developed ASH into the largest student housing... View Details
- June 2024 (Revised September 2024)
- Case
Driving Scale with Otto
By: Rebecca Karp, David Allen and Annelena Lobb
This case asks how startup founders make scaling decisions in light of their priorities for their business and for themselves. Otto was a technology company that applied artificial intelligence technology to sales. It deployed natural language processing to find sales... View Details
Keywords: Artificial Intelligence; Natural Language Processing; B2B; B2B Innovation; Scaling; Scaling Tech Ventures; Business Startups; AI and Machine Learning; Finance; Sales; Business Strategy; Growth and Development Strategy; Entrepreneurship; Information Technology Industry; United States; Cambridge; New York (city, NY); Spain
- May 2024
- Article
Going Beyond the 'Self' in Self-control: Interpersonal Consequences of Commitment Strategies
By: Ariella S. Kristal and Julian Zlatev
Commitment strategies are effective mechanisms individuals can use to overcome self-control problems. Across seven studies (and two supplemental studies), we explore the negative interpersonal consequences of commitment strategy choice and use. In Study 1, using an... View Details
- May–June 2024
- 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
- 2024
- Working Paper
Does the Case for Private Equity Still Hold?
By: Nori Gerardo Lietz and Philipp Chvanov
Private Equity (“PE”) received a 10-fold increase in capital flows since the Great Financial Crisis (“GFC”) Investors sought higher nominal returns relative to those they could obtain in the public capital markets. This paper questions the fundamental assumptions... View Details
- April 2024
- Article
A Machine Learning Algorithm Predicting Risk of Dilating VUR among Infants with Hydronephrosis Using UTD Classification
By: Hsin-Hsiao Scott Wang, Michael Lingzhi Li, Dylan Cahill, John Panagides, Tanya Logvinenko, Jeanne Chow and Caleb Nelson
Backgrounds: Urinary Tract Dilation (UTD) classification has been designed to be a more objective grading system to evaluate antenatal and post-natal UTD. Due to unclear association between UTD classifications to specific anomalies such as vesico-ureteral reflux (VUR),... View Details
- April 2024
- Article
How Our Ideological Out-Group Shapes Our Emotional Response to Our Shared Socio-Political Reality
By: Julia Elad-Strenger, Amit Goldenberg, Tamar Saguy and Eran Halperin
What shapes our emotional responses to socio-political events? Following the social identity approach, we suggest that individuals adjust their emotional responses to socio-political stimuli based on their ideological out-group's responses, in a manner that preserves... View Details
- 2024
- Working Paper
The Cram Method for Efficient Simultaneous Learning and Evaluation
By: Zeyang Jia, Kosuke Imai and Michael Lingzhi Li
We introduce the "cram" method, a general and efficient approach to simultaneous learning and evaluation using a generic machine learning (ML) algorithm. In a single pass of batched data, the proposed method repeatedly trains an ML algorithm and tests its empirical... View Details
Keywords: AI and Machine Learning
- March 2024
- Case
Ava DuVernay's Array: Disrupting the Hollywood Film Industry
By: Anita Elberse and Morgan Brewton-Johnson
In February 2023 acclaimed filmmaker Ava DuVernay is filming her latest movie, Origin, a daring adaptation of Isabel Wilkerson’s book Caste: The Origins of Our Discontents. With Origin, DuVernay is pioneering a method to finance the endeavor—through a combination of... View Details
- 2024
- Working Paper
The Fading Light of Democratic Capitalism: How Pervasive Cronyism and Restricted Suffrage Are Destroying Democratic Capitalism as a National Ideal…and What to Do about It
What are we to do about declining public trust and confidence in democratic capitalism, which many citizens consider a cornerstone of our national ideology and identity? While the answer is not entirely clear, I argue in this essay that any effort aimed at restoring... View Details