Publications
Publications
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- All HBS Web
(4,562)
- Faculty Publications (661)
- November–December 2024
- Article
How to Avoid the Agility Trap
By: Jianwen Liao and Feng Zhu
Agility is all the rage in strategy circles these days. According to conventional wisdom, organizations should rapidly react to technological advances, new market dynamics, and shifting consumer preferences. But in practice this is nearly impossible to pull off,... View Details
- December 2024
- Article
Proximate (Co-)Working: Knowledge Spillovers and Social Interactions
By: Maria P. Roche, Alexander Oettl and Christian Catalini
We examine the influence of physical proximity on between-start-up knowledge spillovers at one of the largest technology coworking hubs in the United States. Relying on the exogenous assignment of office space to the hub’s 251 start-ups, we find that proximity... View Details
- 2025
- Working Paper
Why Most Resist AI Companions
By: Julian De Freitas, Zeliha Oğuz-Uğuralp, Ahmet Kaan Uğuralp and Stefano Puntoni
AI companion applications—designed to serve as synthetic interaction partners—have recently
become capable enough to reduce loneliness, a growing public health concern. However,
behavioral research has yet to fully explain the barriers to adoption of such AI and... View Details
- November 2024
- Supplement
AlphaGo (C): Birth of a New Intelligence
By: Shikhar Ghosh and Shweta Bagai
This case, the final of a three-part series, explores DeepMind's pivotal transition from mastering games to solving real-world scientific challenges. In December 2020, DeepMind's AI system AlphaFold 2 achieved a breakthrough by solving protein folding—a 50-year-old... View Details
Keywords: Autonomy; Deep Learning; Drug Discovery; Healthcare Innovation; Neural Networks; Scientific Research; Technology Startup; AI and Machine Learning; Technological Innovation; Research and Development; Business Model; Business Strategy; Open Source Distribution; Technology Industry; United States
- October 2024
- Case
Parexel: Scaling Up and Industry Dynamics
By: Regina E. Herzlinger and Ben Creo
Through the lens of biopharmaceutical contract research organization (CRO) PAREXEL, this case traces the evolution of the firm as it reinvents itself in response to the transformation of the CRO sector from a small, secondary cluster of firms into a major player with... View Details
- October 2024
- Case
EU's Digital Services Act and Digital Markets Act
By: David B. Yoffie and Sarah von Bargen
Since the early 2020s, the EU began passing regulations on digital platforms and their marketplaces. One of the first was the Digital Services Act package, consisting of the Digital Services Act (DSA) and the Digital Markets Act (DMA). These regulations were focused on... View Details
- October 2024
- Case
Reed Group and Succession in a Family Business: An Impossible Job to Fill?
By: Lauren H. Cohen and Tonia Labruyere
James Reed had taken over Reed Group, the recruitment and career services company his father had founded and built, in 1994. He was now reflecting on succession planning and other challenges that lay ahead: with no obvious choice among his family members, he needed to... View Details
- September–October 2024
- Article
Boards Need a New Approach to Technology
By: Tarun Khanna, Mary C. Beckerle and Nabil Y. Sakkab
The boards of too many publicly traded companies are downright timid when considering matters involving science and technology. More often than not, they focus on security and digitization—a defensive posture that fails to consider the bigger opportunities emerging... View Details
- 2025
- Working Paper
Global Evidence on Gender Gaps and Generative AI
By: Nicholas G. Otis, Solène Delecourt, Katelynn Cranney and Rembrand Koning
Generative AI has the potential to transform productivity and reduce inequality, but only if adopted broadly. In this paper, we show that recently identified gender gaps in generative AI use are nearly universal. Synthesizing data from 18 studies covering more than... View Details
- Fall 2024
- Article
The Three Traps That Stymie Reinvention: Organizational Identity, Architecture, and Collaboration Can Be Either Assets or Liabilities to Pursuing Growth in New Sectors
By: Ryan Raffaelli
In more than a decade of researching innovation, I have observed how organizations respond to new opportunities, technological changes, or unexpected market shifts that threaten to upend their current business model. This process, which I call reinvention, may occur... View Details
- 2024
- Working Paper
Empirical Guidance: Data Processing and Analysis with Applications in Stata, R, and Python
By: Melissa Ouellet and Michael W. Toffel
This paper describes a range of best practices to compile and analyze datasets, and includes some examples in Stata, R, and Python. It is meant to serve as a reference for those getting started in econometrics, and especially those seeking to conduct data analyses in... View Details
- 2024
- Article
Learning Under Random Distributional Shifts
By: Kirk Bansak, Elisabeth Paulson and Dominik Rothenhäusler
Algorithmic assignment of refugees and asylum seekers to locations within host
countries has gained attention in recent years, with implementations in the U.S.
and Switzerland. These approaches use data on past arrivals to generate machine
learning models that can... View Details
- September 2024
- Article
Standing on the Shoulders of Science
By: Joshua Lev Krieger, Monika Schnitzer and Martin Watzinger
Today’s innovations rely on scientific discoveries of the past, yet only some corporate
R&D builds directly on scientific output. In this paper, we analyze U.S. patents to
investigate how firms generate value by building on prior art “closer” to science. We
show... View Details
- September 2024
- Article
The Human Side of the Future of Work: Understanding the Role People Play in Shaping a Changing World
By: Jochen I. Menges, Lauren C. Howe, Erika Hall, Jon M. Jachimowicz, Sharon K. Parker, Riki Takeuchi, Abhijeet K. Vadera, Ashley Whillans and Susan K. Cohen
For as long as there has been work, there has been a “future of work,” through humans’ ingenuity and drive to get things done easier, faster, and better. With the industrial revolution, efforts to shape a better future of work were dominated by improvements in... View Details
- 2024
- Working Paper
The New Digital Divide
By: Mayana Pereira, Shane Greenstein, Raffaella Sadun, Prasanna Tambe, Lucia Ronchi Darre, Tammy Glazer, Allen Kim, Rahul Dodhia and Juan Lavista Ferres
We build and analyze new metrics of digital usage that leverage telemetry data collected by Microsoft during operating system updates across forty million Windows devices in U.S. households. These measures of US household digital usage are much more comprehensive than... View Details
- September–October 2024
- Article
Where Data-Driven Decision-Making Can Go Wrong
By: Michael Luca and Amy C. Edmondson
When considering internal data or the results of a study, often business leaders either take the evidence presented as gospel or dismiss it altogether. Both approaches are misguided. What leaders need to do instead is conduct rigorous discussions that assess any... View Details
- August 2024
- Case
Sky Therapeutics: Innovating in Digital Therapeutics
By: Satish Tadikonda, Olivia Reszczynski and William Marks
Shad Faraz and Alex Youssef were intrigued by the opportunities in the relatively new area of Digital Therapeutics. Despite initial successes, early entrants had struggled with reimbursement and revenue-predictability challenges. However, venture investors still... View Details
- 2024
- Case
EPCorp: What Story Does the Data Tell?
By: Jacob M. Cook
In EPCorp: What Story Does the Data Tell?, the Quick Case begins with Shivani Bahl researching problems with her company's website so that she can begin to analyze which option would help EPCorp most: selling all its products on Amazon or improving its own data... 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
- July 2024
- Article
Chatbots and Mental Health: Insights into the Safety of Generative AI
By: Julian De Freitas, Ahmet Kaan Uğuralp, Zeliha Uğuralp and Stefano Puntoni
Chatbots are now able to engage in sophisticated conversations with consumers. Due to the ‘black box’ nature of the algorithms, it is impossible to predict in advance how these conversations will unfold. Behavioral research provides little insight into potential safety... View Details