Publications
Publications
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(15,008)
- Faculty Publications (5,336)
- 2023
- Working Paper
Estimating Productivity in the Presence of Spillovers: Firm-Level Evidence from the U.S. Production Network
By: Ebehi Iyoha
This paper examines the extent to which productivity gains are transmitted across U.S. firms through buyer-supplier relationships. Many empirical studies measure firm-to-firm spillovers using firm-level productivity estimates derived from control function approaches.... View Details
- December 2023 (Revised February 2024)
- Case
21Seeds: Taking Shots at Breakout Growth
21Seeds, a female-founded flavor-infused tequila startup launched in 2019, had made inroads into the alcoholic beverage industry by focusing on an underserved consumer segment in spirits—women, primarily in their 30s and 40s, many of whom were moms—and by following a... View Details
- December 2023 (Revised July 2024)
- Case
Boortmalt: The Master Maltster
By: Forest Reinhardt, Jose B Alvarez, Damien McLoughlin, Lena Duchene and Emer Moloney
By May 2023, Boortmalt was the world’s leading producer of malt, with a production capacity of 3 million tonnes, 15% of global market share, and 27 malting plants across five continents. It had recently acquired a major competitor and had sustained an EBITDA growth of... View Details
Keywords: Plant-Based Agribusiness; Mergers and Acquisitions; Talent and Talent Management; Customer Focus and Relationships; Values and Beliefs; Financing and Loans; Employee Relationship Management; Collaborative Innovation and Invention; Innovation Leadership; Knowledge Sharing; Leadership Style; Business or Company Management; Growth and Development Strategy; Growth Management; Management Style; Resource Allocation; Corporate Social Responsibility and Impact; Strategic Planning; Environmental Sustainability; Organizational Culture; Agriculture and Agribusiness Industry; Belgium; Europe
- 2023
- Article
Balancing Risk and Reward: An Automated Phased Release Strategy
By: Yufan Li, Jialiang Mao and Iavor Bojinov
Phased releases are a common strategy in the technology industry for gradually releasing new products or updates through a sequence of A/B tests in which the number of treated units gradually grows until full deployment or deprecation. Performing phased releases in a... View Details
- December 2023
- Case
Gabriela Santana Goldstein
By: Leslie Perlow and Hannah Weisman
Gabriela Santana Goldstein was pursuing her passion, working as the Head of Business for a telehealth startup, when her father went into sudden cardiac arrest and family duty called. The case discusses Goldstein’s difficult decision to leave her dream job, and her path... View Details
- 2023
- Article
M4: A Unified XAI Benchmark for Faithfulness Evaluation of Feature Attribution Methods across Metrics, Modalities, and Models
By: Himabindu Lakkaraju, Xuhong Li, Mengnan Du, Jiamin Chen, Yekun Chai and Haoyi Xiong
While Explainable Artificial Intelligence (XAI) techniques have been widely studied to explain predictions made by deep neural networks, the way to evaluate the faithfulness of explanation results remains challenging, due to the heterogeneity of explanations for... View Details
Keywords: AI and Machine Learning
- 2023
- Article
MoPe: Model Perturbation-based Privacy Attacks on Language Models
By: Marvin Li, Jason Wang, Jeffrey Wang and Seth Neel
Recent work has shown that Large Language Models (LLMs) can unintentionally leak sensitive information present in their training data. In this paper, we present Model Perturbations (MoPe), a new method to identify with high confidence if a given text is in the training... View Details
- 2023
- Article
Post Hoc Explanations of Language Models Can Improve Language Models
By: Satyapriya Krishna, Jiaqi Ma, Dylan Slack, Asma Ghandeharioun, Sameer Singh and Himabindu Lakkaraju
Large Language Models (LLMs) have demonstrated remarkable capabilities in performing complex tasks. Moreover, recent research has shown that incorporating human-annotated rationales (e.g., Chain-of-Thought prompting) during in-context learning can significantly enhance... View Details
- 2023
- Other Article
The Harvard USPTO Patent Dataset: A Large-Scale, Well-Structured, and Multi-Purpose Corpus of Patent Applications
By: Mirac Suzgun, Luke Melas-Kyriazi, Suproteem K. Sarkar, Scott Duke Kominers and Stuart Shieber
Innovation is a major driver of economic and social development, and information about many kinds of innovation is embedded in semi-structured data from patents and patent applications. Though the impact and novelty of innovations expressed in patent data are difficult... View Details
- 2023
- Working Paper
The Impact of Unionization on Consumer Perceptions of Service Quality: Evidence from Starbucks
By: Isamar Troncoso, Minkyung Kim, Ishita Chakraborty and SooHyun Kim
The US has seen a rise in union movements, but their effects on service industry marketing outcomes like customer satisfaction and perceptions of service quality remain understudied. In this paper, we empirically study the impact on customer satisfaction and... View Details
- December 2023
- Teaching Note
The Rise and Fall of FTX
Teaching Note for HBS Case No. 124-014. View Details
- 2023
- Article
Verifiable Feature Attributions: A Bridge between Post Hoc Explainability and Inherent Interpretability
By: Usha Bhalla, Suraj Srinivas and Himabindu Lakkaraju
With the increased deployment of machine learning models in various real-world applications, researchers and practitioners alike have emphasized the need for explanations of model behaviour. To this end, two broad strategies have been outlined in prior literature to... View Details
- December 2023
- Article
When Should the Off-Grid Sun Shine at Night? Optimum Renewable Generation and Energy Storage Investments
By: Christian Kaps, Simone Marinesi and Serguei Netessine
Globally, 1.5 billion people live off the grid, their only access to electricity often limited to operationally-expensive fossil fuel generators. Solar power has risen as a sustainable and less costly option, but its generation is variable during the day and... View Details
- 2023
- Article
Which Models Have Perceptually-Aligned Gradients? An Explanation via Off-Manifold Robustness
By: Suraj Srinivas, Sebastian Bordt and Himabindu Lakkaraju
One of the remarkable properties of robust computer vision models is that their input-gradients are often aligned with human perception, referred to in the literature as perceptually-aligned gradients (PAGs). Despite only being trained for classification, PAGs cause... View Details
- November 2023 (Revised October 2024)
- Supplement
Accounting Outages at Plug Power? (C)
By: Jonas Heese, Joseph Pacelli and James Barnett
Set in June 2023, the C case explores Plug Power’s recovery from its financial restatements, how it benefited from government subsidies, and new strategic alliances. View Details
- November 2023
- Case
Open Source Machine Learning at Google
Set in early 2023, the case exposes students to the challenges of managing open source software at Google. The case focuses on the challenges for Alex Spinelli, Vice President of Product Management for Core Machine Learning. He must set priorities for Google’s efforts... View Details
- November 2023 (Revised November 2024)
- Case
Decarbonizing Shipping at A.P. Møller-Maersk (A)
By: Willy Shih, Michael W. Toffel and Kelsey Carter
Container shipping was responsible for moving more than 80% of globally traded goods, and almost 3% of global greenhouse gas emissions. A.P. Møller-Maersk, one of the top three container lines, conducted an extensive lifecycle assessment (LCA) of alternative fuels,... View Details
- November 2023
- Case
From Imitation to Innovation: Zongshen Industrial Group (Abridged)
By: Willy Shih and Nancy Dai
Like other small shops based in Chongqing, China, Zongshen Industrial Group started by assembling motorcycles from "standard" parts. The quality of its early products was good enough for rural Chinese buyers, though wealthier consumers usually purchased premium... View Details
- November 2023
- Case
Copilot(s): Generative AI at Microsoft and GitHub
This case tells the story of Microsoft’s 2018 acquisition of GitHub and the subsequent launch of GitHub Copilot, a tool that uses generative artificial intelligence to suggest snippets of code to software developers in real time. Set in late 2021, when Copilot was... View Details
- November 2023
- Case
UST's Adoption of Open Talent
By: Christopher Stanton and Kristen Senz
This case details the 2020 launch and subsequent scaling of UST’s Open Talent initiative, a program to integrate freelancers from digital platforms into its workforce. The case highlights how the shifting post-pandemic world, including layoffs, wage inflation, and... View Details