Publications
Publications
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- All HBS Web
(5,223)
- Faculty Publications (815)
- June 2024
- Case
Building Innovation at VINCI
By: Dennis Campbell, Aluna Wang and Carlota Moniz
This case study explores how the VINCI Group, a French multinational operating in concessions, energy, and construction, bolstered awareness and adoption rates of new technologies within the organization. Through its separate innovation hub, Leonard, VINCI aimed to... View Details
Keywords: Business Model; Business Organization; Decisions; Business Earnings; Business Strategy; Competition; Energy; Corporate Entrepreneurship; Values and Beliefs; Global Range; Global Strategy; Cross-Cultural and Cross-Border Issues; Multinational Firms and Management; Globalized Markets and Industries; Corporate Accountability; Collaborative Innovation and Invention; Disruptive Innovation; Innovation and Management; Innovation Strategy; Technological Innovation; Knowledge Sharing; Organizational Culture; Technology Adoption; Innovation Leadership; Organizational Structure; Construction Industry; Energy Industry; Technology Industry; France; Europe
- June 2024
- Article
Defining Who You Are by Whom You Serve? Strategies for Prosocial–Professional Identity Integration with Clients
By: Lakshmi Ramarajan and Julie Yen
Many professionals want to both achieve professional success and contribute to society. Yet, in some professional contexts, these aims are in tension because serving elite clients is considered the pinnacle of professional success, but professionals themselves may view... View Details
- June 2024 (Revised November 2024)
- Case
Dylan Mulvaney and Bud Light
By: Jill Avery and Celine Chammas
On April 1, 2023, social media content creator and influencer Dylan Mulvaney recorded a promotional post. It featured a video of herself drinking from a can of Bud Light beer, offering a virtual toast to her followers. Alongside the video, she posted a photograph of a... View Details
- June 2024
- Article
Rationalizing Outcomes: Interdependent Learning in Competitive Markets
By: Anoop R. Menon and Dennis Yao
In this article we use simulation models to explore interdependent learning in competitive markets. Such interactions require attention to both the mental representations held by the management of the focal firm as well as the beliefs of that management about the... View Details
- June 2024
- Article
Stereotypes and Belief Updating
By: Katherine B. Coffman, Manuela Collis and Leena Kulkarni
We explore how feedback shapes, and perpetuates, gender gaps in self-assessments. Participants in our experiment take tests of their ability across different domains. We elicit their beliefs of their performance before and after feedback. We find that, even after the... View Details
- May 2024
- Background Note
Net Revenue Retention: Unpacking the Dynamics of Customer Monetization
By: Elie Ofek, Barak Libai and Eitan Muller
Firms and investors alike are beginning to recognize the importance of tracking how revenues from existing customers are evolving over time and to appreciate the value in understanding what might explain changes in these revenues. Consequently, in addition to looking... View Details
- 2024
- Working Paper
The Value of AI Innovations
By: Wilbur Xinyuan Chen, Terrence Tianshuo Shi and Suraj Srinivasan
We study the value of AI innovations as it diffuses across general and application sectors, using the United States Patent and Trademark Office’s (USPTO) AI patent dataset. Investors value these innovations more than others, as AI patents exhibit a 9% value premium,... View Details
- May 2024
- Case
LinkedIn Corporation, 2024
By: David B. Yoffie, George Gonzalez and Emily Grandjean
By 2024, the LinkedIn profile was well established as the professional identity of record on the Internet. Following a multi-year effort to expand the platform’s user base, as well as a period of rapid growth during the COVID-19 pandemic, LinkedIn’s membership had... View Details
- May 2024
- Article
Financial Innovation in the 21st Century: Evidence from U.S. Patents
By: Josh Lerner, Amit Seru, Nick Short and Yuan Sun
We develop a unique dataset of 24 thousand U.S. finance patents granted over the last two decades to explore the evolution and production of financial innovation. We use machine learning to identify the financial patents and extensively audit the results to ensure... View Details
- 2024
- Working Paper
Old Moats for New Models: Openness, Control, and Competition in Generative AI
By: Pierre Azoulay, Joshua L. Krieger and Abhishek Nagaraj
Drawing insights from the field of innovation economics, we discuss the likely competitive environment shaping generative AI advances. Central to our analysis are the concepts of appropriability—whether firms in the industry are able to control the knowledge generated... View Details
- 2024
- Working Paper
Human-Computer Interactions in Demand Forecasting and Labor Scheduling Decisions
By: Caleb Kwon, Ananth Raman and Jorge Tamayo
We investigate whether corporate officers should grant managers discretion to override AI-driven demand forecasts and labor scheduling tools. Analyzing five years of administrative data from a large grocery retailer using such an AI tool, encompassing over 500 stores,... View Details
- April–May 2024
- Article
Gone with the Big Data: Institutional Lender Demand for Private Information
By: Jung Koo Kang
I explore whether big-data sources can crowd out the value of private information acquired through lending relationships. Institutional lenders have been shown to exploit their access to borrowers’ private information by trading on it in financial markets. As a shock... 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
- 2023
- Working Paper
An Experimental Design for Anytime-Valid Causal Inference on Multi-Armed Bandits
By: Biyonka Liang and Iavor I. Bojinov
Typically, multi-armed bandit (MAB) experiments are analyzed at the end of the study and thus require the analyst to specify a fixed sample size in advance. However, in many online learning applications, it is advantageous to continuously produce inference on the... View Details
- 2024
- Working Paper
Anytime-Valid Inference in Linear Models and Regression-Adjusted Causal Inference
By: Michael Lindon, Dae Woong Ham, Martin Tingley and Iavor I. Bojinov
Linear regression adjustment is commonly used to analyze randomized controlled experiments due to its efficiency and robustness against model misspecification. Current testing and interval estimation procedures leverage the asymptotic distribution of such estimators to... View Details
- 2023
- Working Paper
Design-Based Inference for Multi-arm Bandits
By: Dae Woong Ham, Iavor I. Bojinov, Michael Lindon and Martin Tingley
Multi-arm bandits are gaining popularity as they enable real-world sequential decision-making across application areas, including clinical trials, recommender systems, and online decision-making. Consequently, there is an increased desire to use the available... View Details
- March 2024
- Article
Investigation of Divergent Thinking among Surgeons and Surgeon Trainees in Canada (IDEAS): A Mixed-methods Study
By: Alex Thabane, Tyler McKechnie, Vikram Arora, Goran Calic, Jason W Busse, Ranil Sonnadara and Mohit Bhandari
Objective: To assess the creative potential of surgeons and surgeon trainees, as measured by divergent thinking. The secondary objectives were to identify factors associated with divergent thinking, assess confidence in creative problem-solving and the perceived effect... View Details
- February 9, 2024
- Article
Addressing Climate Change with Behavioral Science: A Global Intervention Tournament in 63 Countries
By: Madalina Vlasceanu, Kimberly C. Doell, Joseph B. Bak-Coleman, Boryana Todorova, Michael M. Berkebile-Weinberg, Amit Goldenberg, Eric Shuman and et al.
Effectively reducing climate change requires marked, global behavior change. However, it is unclear which strategies are most likely to motivate people to change their climate beliefs and behaviors. Here, we tested 11 expert-crowdsourced interventions on four climate... View Details
- February 2024
- Case
Levels.fyi: How Negotiations Coaching and Pay Transparency Change Job Market Outcomes
By: Zoë B. Cullen
Salary information is everywhere. What impact does it have on compensation? How should employees and employers use salary information in negotiations? This case brings to light how pay information affects behavior and job market outcomes in surprising ways. View Details
- 2024
- Working Paper
Content Moderation with Opaque Policies
By: Scott Duke Kominers and Jesse M. Shapiro
A sender sends a signal about a state to a receiver who takes an action that determines a payoff. A moderator can block some or all of the sender's signal before it reaches the receiver. When the moderator's policy is transparent to the receiver, the moderator can... View Details