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- All HBS Web
(15,267)
- Faculty Publications (4,919)
- October 2023 (Revised February 2024)
- Case
Loris
By: Shunyuan Zhang, Das Narayandas, Stacy Straaberg and David Lane
In December 2022, Loris’s executive team considered their go-to-market strategy. Loris was an artificial intelligence (AI) software startup for the customer service industry with two products on the market: 1) Agent Assist which provided customer service agents (CSAs)... View Details
- October 2023 (Revised November 2023)
- Case
Recycle & Re-Match: The Future of Soccer Turfs
By: George Serafeim, Lena Duchene and Carlota Moniz
By August 2023, Re-Match, an artificial turf waste-to-value company, had operations in Denmark and the Netherlands and had recycled over 160,000 tons of waste and plastic fiber. With recent capital injection from the VC firm Verdane and a dual revenue business model,... View Details
Keywords: Carbon Emissions; Carbon Abatement; Sustainability; Recycling; Waste Management; Technology; Entrepreneurial Management; Business Growth and Maturation; Business Model; Decisions; Energy Conservation; Investment Return; Profit; Technological Innovation; Patents; Growth and Development Strategy; Market Entry and Exit; Digital Platforms; Wastes and Waste Processing; Business Strategy; Competition; Expansion; Technology Adoption; Sports; Environmental Sustainability; Entrepreneurship; Green Technology Industry; Green Technology Industry; Green Technology Industry; Green Technology Industry; Green Technology Industry; Denmark; Netherlands; France; United States; Pennsylvania; Europe
Serafeim, George, Lena Duchene, and Carlota Moniz. "Recycle & Re-Match: The Future of Soccer Turfs." Harvard Business School Case 124-032, October 2023. (Revised November 2023.)
- October 2023
- Case
Taiwan After Globalization: Twilight of the Developmental State?
By: Debora L. Spar and Julia M. Comeau
In the last 70 years, the small island of Taiwan has achieved what many believe to be a “miracle”: its economy has grown at a record-setting pace, driven and guided by one of the world's most successful set of industrial policies, and it has become one of the richest... View Details
Keywords: Economic Growth; Economic Slowdown and Stagnation; Trade; Policy; Government and Politics; Technology Industry; Technology Industry; Taiwan; China; Asia; United States
Spar, Debora L., and Julia M. Comeau. "Taiwan After Globalization: Twilight of the Developmental State?" Harvard Business School Case 324-032, October 2023.
- October 2023 (Revised May 2024)
- Case
JSW Steel: Balancing Growth While Decarbonizing
By: Vikram S Gandhi and Radhika Kak
Sajjan Jindal, Chairman & Managing Director of JSW Steel, India's largest steel producer by market capitalization, was facing a dilemma. Steel demand in India was expected to grow exponentially over the next decade. However, given its traditional reliance on carbon,... View Details
Keywords: Decisions; Environmental Sustainability; Investment; Governing Rules, Regulations, and Reforms; Growth and Development; Corporate Social Responsibility and Impact; Pollutants; Pollution; Production; Steel Industry; India
Gandhi, Vikram S., and Radhika Kak. "JSW Steel: Balancing Growth While Decarbonizing." Harvard Business School Case 824-002, October 2023. (Revised May 2024.)
- October–December 2023
- Article
A Practical Guide to Conversation Research: How to Study What People Say to Each Other
By: Michael Yeomans, Katelynn Boland, Hanne K. Collins, Nicole Abi-Esber and Alison Wood Brooks
Conversation—a verbal interaction between two or more people—is a complex, pervasive, and consequential human behavior. Conversations have been studied across many academic disciplines. However, advances in recording and analysis techniques over the last decade have... View Details
Yeomans, Michael, Katelynn Boland, Hanne K. Collins, Nicole Abi-Esber, and Alison Wood Brooks. "A Practical Guide to Conversation Research: How to Study What People Say to Each Other." Advances in Methods and Practices in Psychological Science 6, no. 4 (October–December 2023).
- 2023
- Working Paper
Black-box Training Data Identification in GANs via Detector Networks
By: Lukman Olagoke, Salil Vadhan and Seth Neel
Since their inception Generative Adversarial Networks (GANs) have been popular generative models across images, audio, video, and tabular data. In this paper we study whether given access to a trained GAN, as well as fresh samples from the underlying distribution, if... View Details
Olagoke, Lukman, Salil Vadhan, and Seth Neel. "Black-box Training Data Identification in GANs via Detector Networks." Working Paper, October 2023.
- 2025
- Working Paper
Bringing Science to Market: Knowledge Foundations, Inventor-Founders, and Performance
By: Justine Boudou and Maria Roche
In this paper, we examine how a startup’s knowledge foundations—embedded in its
core technology—influence its performance in the exit market. Using a dataset of 1,006
biomedicine startups founded between 2005 and 2015, we focus on two key factors: (1)
the degree of... View Details
Keywords: Firm Performance; Knowledge Foundations; Exits; Academic Startups; Inventor-founder; Specialized Scientific Knowledge; Competitive Advantage; Value Creation; Research; Information Publishing; Business Startups; Entrepreneurship
Boudou, Justine, and Maria Roche. "Bringing Science to Market: Knowledge Foundations, Inventor-Founders, and Performance." Harvard Business School Working Paper, No. 24-021, October 2023. (Revised February 2025.)
- September–October 2023
- Article
Building Brand Engagement: Lessons from NFTs and Collectibles
By: Frank V. Cespedes and Ben Plomion
The financial hype about Non-Fungible Tokens (NFTs) has cooled considerably since trading in that market went from more than $780 million on May 1, 2022 to less than $295 million for the entire month of May, 2023. But brands launch marketing campaigns in this medium,... View Details
Cespedes, Frank V., and Ben Plomion. "Building Brand Engagement: Lessons from NFTs and Collectibles." European Business Review (September–October 2023): 2–5.
- 2023
- Working Paper
Causal Interpretation of Structural IV Estimands
By: Isaiah Andrews, Nano Barahona, Matthew Gentzkow, Ashesh Rambachan and Jesse M. Shapiro
We study the causal interpretation of instrumental variables (IV) estimands of nonlinear, multivariate structural models with respect to rich forms of model misspecification. We focus on guaranteeing that the researcher's estimator is sharp zero consistent, meaning... View Details
Keywords: Mathematical Methods
Andrews, Isaiah, Nano Barahona, Matthew Gentzkow, Ashesh Rambachan, and Jesse M. Shapiro. "Causal Interpretation of Structural IV Estimands." NBER Working Paper Series, No. 31799, October 2023.
- October 2023
- Article
Finding New Business and Developing Relevant Sales Capabilities
There are few alternatives to growth for most companies. It’s the rare firm whose goal involves getting smaller and, for employees, there is a strong correlation between their company’s growth rate, promotion opportunities, and job satisfaction. But a growth strategy... View Details
Cespedes, Frank V. "Finding New Business and Developing Relevant Sales Capabilities." Top Sales Magazine (October 2023), 24–25.
- 2023
- Working Paper
How Private Investors Value 'Platformness': An Exploratory Study of Unicorns
By: David B. Yoffie, Michael A. Cusumano, Annabelle Gawer, Sarah von Bargen and Kwesi Acquay
This paper explores the premium investors have been willing to pay for private companies (unicorns) that are digital platforms vs. traditional companies. View Details
- 2023
- Working Paper
In-Context Unlearning: Language Models as Few Shot Unlearners
By: Martin Pawelczyk, Seth Neel and Himabindu Lakkaraju
Machine unlearning, the study of efficiently removing the impact of specific training points on the
trained model, has garnered increased attention of late, driven by the need to comply with privacy
regulations like the Right to be Forgotten. Although unlearning is... View Details
Pawelczyk, Martin, Seth Neel, and Himabindu Lakkaraju. "In-Context Unlearning: Language Models as Few Shot Unlearners." Working Paper, October 2023.
- October 2023
- Article
Innovation on Wings: When Do Nonstop Flights Matter for Global Innovation?
By: Dany Bahar, Prithwiraj Choudhury, Do Yoon Kim and Wesley Koo
We study whether, when, and how better connectivity through nonstop flights leads to positive innovation outcomes for firms in the global context. Using unique data of all flights emanating from 5,015 airports around the globe from 2005 to 2015 and exploiting a... View Details
Keywords: Nonstop Flights; Collaborative Innovation and Invention; Patents; Research and Development; Air Transportation Industry
Bahar, Dany, Prithwiraj Choudhury, Do Yoon Kim, and Wesley Koo. "Innovation on Wings: When Do Nonstop Flights Matter for Global Innovation?" Management Science 69, no. 10 (October 2023): 6202–6223.
- 2023
- Working Paper
Interest-Rate Risk and Household Portfolios
By: Sylvain Catherine, Max Miller, James Paron and Natasha Sarin
How are households exposed to interest-rate risk? When rates fall, households face lower future expected returns but those holding long-term assets—disproportionately the wealthy and middle-aged—experience capital gains. We study the hedging demand for long-term assets... View Details
Keywords: Portfolio Choice; Social Security; Interest Rates; Investment Portfolio; Equality and Inequality; Welfare
Catherine, Sylvain, Max Miller, James Paron, and Natasha Sarin. "Interest-Rate Risk and Household Portfolios." Working Paper, October 2023. (Reject and Resubmit, American Economic Review.)
- 2023
- Working Paper
No Revenge for Nerds? Evaluating the Careers of Ivy League Athletes
By: Natee Amornsiripanitch, Paul A. Gompers, George Hu, Will Levinson and Vladimir Mukharlyamov
This paper compares the careers of Ivy League athletes to those of their non-athlete classmates. Combining team-level information on all Ivy League athletes from 1970 to 2021 with resume data for all Ivy League graduates, we examine both post-graduate education and... View Details
Amornsiripanitch, Natee, Paul A. Gompers, George Hu, Will Levinson, and Vladimir Mukharlyamov. "No Revenge for Nerds? Evaluating the Careers of Ivy League Athletes." NBER Working Paper Series, No. 31753, October 2023.
- 2023
- Working Paper
The Customer Journey as a Source of Information
By: Nicolas Padilla, Eva Ascarza and Oded Netzer
In the face of heightened data privacy concerns and diminishing third-party data access,
firms are placing increased emphasis on first-party data (1PD) for marketing decisions.
However, in environments with infrequent purchases, reliance on past purchases 1PD... View Details
Keywords: Customer Journey; Privacy; Consumer Behavior; Analytics and Data Science; AI and Machine Learning; Customer Focus and Relationships
Padilla, Nicolas, Eva Ascarza, and Oded Netzer. "The Customer Journey as a Source of Information." Harvard Business School Working Paper, No. 24-035, October 2023. (Revised October 2023.)
- 2025
- Working Paper
The Impact of Input Inaccuracy on Leveraging AI Tools: Evidence from Algorithmic Labor Scheduling
By: Caleb Kwon, Antonio Moreno and Ananth Raman
Are the inputs used by your AI tool correct and up to date? In this paper, we show that the answer to this question: (i) is frequently a “no” in real business contexts, and (ii) has significant implications on the performance of AI tools. In the context of algorithmic... View Details
Kwon, Caleb, Antonio Moreno, and Ananth Raman. "The Impact of Input Inaccuracy on Leveraging AI Tools: Evidence from Algorithmic Labor Scheduling." Working Paper, 2025.
- September 2023
- Supplement
Design and Evaluation of Targeted Interventions
By: Eva Ascarza
Targeted interventions serve as a pivotal tool in business strategy, streamlining decisions for enhanced efficiency and effectiveness. This note delves into two central facets of such interventions: first, the design of potent decision guidelines, or targeting... View Details
- September 29, 2023
- Article
Eliminating Algorithmic Bias Is Just the Beginning of Equitable AI
By: Simon Friis and James Riley
When it comes to artificial intelligence and inequality, algorithmic bias rightly receives a lot of attention. But it’s just one way that AI can lead to inequitable outcomes. To truly create equitable AI, we need to consider three forces through which it might make... View Details
Friis, Simon, and James Riley. "Eliminating Algorithmic Bias Is Just the Beginning of Equitable AI." Harvard Business Review (website) (September 29, 2023).
- September 2023 (Revised June 2024)
- Case
Kaspi.kz: Building Trust through Innovation
By: Sandra J. Sucher, Fares Khrais and Marilyn Morgan Westner
This case is written to help students explore how companies can maintain and develop trust while innovating, how to identify and respond effectively to warning signs that they may not be as trusted as they believe, and how being trusted can aid in expanding and growing... View Details
Keywords: Growth and Development Strategy; Organizational Culture; Trust; Technology Adoption; Innovation and Invention; Banking Industry
Sucher, Sandra J., Fares Khrais, and Marilyn Morgan Westner. "Kaspi.kz: Building Trust through Innovation." Harvard Business School Case 324-022, September 2023. (Revised June 2024.)