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      • December 2023 (Revised April 2025)
      • Case

      Yellow Corporation: On the Verge of Bankruptcy

      By: Benjamin C. Esty and Edward A. Meyer
      Yellow Corporation, one of the country’s oldest and largest less-than-truckload (LTL) carriers, was nearing its 100th anniversary in 2024. Whether it would reach that milestone, however, was uncertain as the company was attempting to restructure its operations to... View Details
      Keywords: Labor Unions; Labor and Management Relations; Capital Structure; Restructuring; Financial Management; Ethics; Borrowing and Debt; Insolvency and Bankruptcy; Financial Strategy; Truck Transportation; Change Management; Transportation Industry; Shipping Industry; United States
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      Esty, Benjamin C., and Edward A. Meyer. "Yellow Corporation: On the Verge of Bankruptcy." Harvard Business School Case 224-028, December 2023. (Revised April 2025.)
      • December 2023 (Revised January 2025)
      • Case

      Research In Motion: Launching and Scaling the World's First Smartphone Empire (A)

      By: Tatiana Sandino and Samuel Grad
      In 2005, Research In Motion’s (RIM) BlackBerry smartphone was a sensation. After its launch in 1999, the groundbreaking BlackBerry had captured the hearts and minds of corporate America through its secure wireless email service. The device was so addictive and... View Details
      Keywords: Business Growth and Maturation; Decision Choices and Conditions; Mobile and Wireless Technology; Innovation and Management; Technological Innovation; Business or Company Management; Management Style; Product Development; Managerial Roles; Growth and Development Strategy; Technology Industry; United States; Canada
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      Sandino, Tatiana, and Samuel Grad. "Research In Motion: Launching and Scaling the World's First Smartphone Empire (A)." Harvard Business School Case 124-023, December 2023. (Revised January 2025.)
      • 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
      Keywords: Product Launch; Mathematical Methods; Product Development
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      Li, Yufan, Jialiang Mao, and Iavor Bojinov. "Balancing Risk and Reward: An Automated Phased Release Strategy." Advances in Neural Information Processing Systems (NeurIPS) (2023).
      • December 2023
      • Article

      Brokerage Relationships and Analyst Forecasts: Evidence from the Protocol for Broker Recruiting

      By: Braiden Coleman, Michael Drake, Joseph Pacelli and Brady Twedt
      In this study, we offer novel evidence on how the nature of brokerage-client relationships can influence the quality of equity research. We exploit a unique setting provided by the Protocol for Broker Recruiting to examine whether relaxed broker non-compete agreement... View Details
      Keywords: Brokers; Analysts; Forecasts; Bias; Protocol; Investment; Research; Forecasting and Prediction
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      Coleman, Braiden, Michael Drake, Joseph Pacelli, and Brady Twedt. "Brokerage Relationships and Analyst Forecasts: Evidence from the Protocol for Broker Recruiting." Review of Accounting Studies 28, no. 4 (December 2023): 2075–2103.
      • 2023
      • Working Paper

      Complexity and Hyperbolic Discounting

      By: Benjamin Enke, Thomas Graeber and Ryan Oprea
      A large literature shows that people discount financial rewards hyperbolically instead of exponentially. While discounting of money has been questioned as a measure of time preferences, it continues to be highly relevant in empirical practice and predicts a wide range... View Details
      Keywords: Hyperbolic Discounting; Present Bias; Bounded Rationality; Cognitive Uncertainty; Behavioral Finance
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      Enke, Benjamin, Thomas Graeber, and Ryan Oprea. "Complexity and Hyperbolic Discounting." Harvard Business School Working Paper, No. 24-048, February 2024.
      • September 2023
      • Article

      Customer Churn and Intangible Capital

      By: Scott R. Baker, Brian Baugh and Marco Sammon
      Intangible capital is a crucial and growing piece of firms’ capital structure, but many of its distinct components are difficult to measure. We develop and make available several new firm-level metrics regarding a key component of intangible capital – firms’ customer... View Details
      Keywords: Customer Base; Transaction Data; Customer Churn; Intangible Capital; Capital Structure; Measurement and Metrics; Customers
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      Baker, Scott R., Brian Baugh, and Marco Sammon. "Customer Churn and Intangible Capital." Journal of Political Economy Macroeconomics 1, no. 3 (September 2023): 447–505.
      • 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
      Keywords: Personal Development and Career; Well-being; Work-Life Balance; Family and Family Relationships; Decisions; Health Industry; United States; Boston; New York (city, NY)
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      Perlow, Leslie, and Hannah Weisman. "Gabriela Santana Goldstein." Harvard Business School Case 424-021, December 2023.
      • 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
      Keywords: AI and Machine Learning; Performance Effectiveness
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      Krishna, Satyapriya, Jiaqi Ma, Dylan Slack, Asma Ghandeharioun, Sameer Singh, and Himabindu Lakkaraju. "Post Hoc Explanations of Language Models Can Improve Language Models." Advances in Neural Information Processing Systems (NeurIPS) (2023).
      • December 2023
      • Article

      Recover, Explore, Practice: The Transformative Potential of Sabbaticals

      By: Kira Schabram, Matt Bloom and DJ DiDonna
      Sabbaticals have seen an exponential growth in adoption over the last two decades and are ascribed extensive benefits by employers and employees alike. Little is known, however, about how individuals spend their time or how their experiences impact them after they... View Details
      Keywords: Sabbatical; Personal Development and Career; Employees
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      Schabram, Kira, Matt Bloom, and DJ DiDonna. "Recover, Explore, Practice: The Transformative Potential of Sabbaticals." Academy of Management Discoveries 9, no. 4 (December 2023): 441–468.
      • December 2023
      • Article

      Save More Today or Tomorrow: The Role of Urgency in Precommitment Design

      By: Joseph Reiff, Hengchen Dai, John Beshears, Katherine L. Milkman and Shlomo Benartzi
      To encourage farsighted behaviors, past research suggests that marketers may be wise to invite consumers to pre-commit to adopt them “later.” However, the authors propose that people will draw different inferences from different types of pre-commitment offers, and that... View Details
      Keywords: Consumer Behavior; Decision Choices and Conditions
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      Reiff, Joseph, Hengchen Dai, John Beshears, Katherine L. Milkman, and Shlomo Benartzi. "Save More Today or Tomorrow: The Role of Urgency in Precommitment Design." Journal of Marketing Research (JMR) 60, no. 6 (December 2023): 1095–1113.
      • 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
      Keywords: USPTO; Natural Language Processing; Classification; Summarization; Patent Novelty; Patent Trolls; Patent Enforceability; Patents; Innovation and Invention; Intellectual Property; AI and Machine Learning; Analytics and Data Science
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      Suzgun, Mirac, Luke Melas-Kyriazi, Suproteem K. Sarkar, Scott Duke Kominers, and Stuart Shieber. "The Harvard USPTO Patent Dataset: A Large-Scale, Well-Structured, and Multi-Purpose Corpus of Patent Applications." Conference on Neural Information Processing Systems (NeurIPS), Datasets and Benchmarks Track 36 (2023).
      • 2024
      • Working Paper

      The Uneven Impact of Generative AI on Entrepreneurial Performance

      By: Nicholas G. Otis, Rowan Clarke, Solène Delecourt, David Holtz and Rembrand Koning
      Scalable and low-cost AI assistance has the potential to improve firm decision-making and economic performance. However, running a business involves a myriad of open-ended problems, making it difficult to know whether recent AI advances can help business owners make... View Details
      Keywords: AI and Machine Learning; Performance Improvement; Small Business; Decision Choices and Conditions; Kenya
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      Otis, Nicholas G., Rowan Clarke, Solène Delecourt, David Holtz, and Rembrand Koning. "The Uneven Impact of Generative AI on Entrepreneurial Performance." Harvard Business School Working Paper, No. 24-042, December 2023.
      • 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
      Keywords: AI and Machine Learning; Mathematical Methods
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      Srinivas, Suraj, Sebastian Bordt, and Himabindu Lakkaraju. "Which Models Have Perceptually-Aligned Gradients? An Explanation via Off-Manifold Robustness." Advances in Neural Information Processing Systems (NeurIPS) (2023).
      • November 2023 (Revised April 2025)
      • Case

      Norse Atlantic Airways

      By: Willy Shih
      Bjørn Tore Larsen, Norse Atlantic Airways' founder and CEO, hadn't planned to get into the airline business. But when the COVID-19 pandemic depressed the global demand for air travel and the lease rates for jetliners, he realized if ever he was going to get into the... View Details
      Keywords: Business Model; Business Startups; Market Entry and Exit; Leasing; Business Strategy; Segmentation; Interest Rates; Air Transportation Industry; Europe; North America; Norway; United Kingdom; United States
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      Shih, Willy. "Norse Atlantic Airways." Harvard Business School Case 624-034, November 2023. (Revised April 2025.)
      • November 2023
      • Case

      Open Source Machine Learning at Google

      By: Shane Greenstein, Martin Wattenberg, Fernanda B. Viégas, Daniel Yue and James Barnett
      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
      Keywords: Decision Choices and Conditions; Technological Innovation; Open Source Distribution; Strategy; AI and Machine Learning; Applications and Software; Technology Industry; United States
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      Greenstein, Shane, Martin Wattenberg, Fernanda B. Viégas, Daniel Yue, and James Barnett. "Open Source Machine Learning at Google." Harvard Business School Case 624-015, November 2023.
      • November 2023 (Revised August 2024)
      • Background Note

      Life Cycle Assessment: An Overview

      By: Willy C. Shih, Michael W. Toffel and Kelsey Carter
      Life cycle assessment (LCA) is a holistic approach to quantifying the environmental impacts—including resources consumed and wastes produced—associated with the entire life cycle of a product, from the production or extraction of the raw materials used in its creation,... View Details
      Keywords: Life-cycle; Environmental Performance; Design; Environmental Management; Environmental Sustainability; Climate Change; Measurement and Metrics; Standards; Accounting; Environmental Accounting
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      Shih, Willy C., Michael W. Toffel, and Kelsey Carter. "Life Cycle Assessment: An Overview." Harvard Business School Background Note 624-052, November 2023. (Revised August 2024.)
      • November 2023 (Revised March 2024)
      • Technical Note

      Customer Data Privacy

      By: Eva Ascarza and Ta-Wei Huang
      This note provides an overview of the evolving landscape of customer data privacy in 2023. It highlights two pivotal aspects that make privacy a central concern for businesses: building and maintaining customer trust and navigating the intricate regulatory... View Details
      Keywords: Customer Relationship Management; Governance Compliance; Governing Rules, Regulations, and Reforms; Risk and Uncertainty; Reputation; Trust; Information Management; Retail Industry; Technology Industry; Financial Services Industry; Telecommunications Industry; Europe; United States
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      Ascarza, Eva, and Ta-Wei Huang. "Customer Data Privacy." Harvard Business School Technical Note 524-005, November 2023. (Revised March 2024.)
      • November 2023
      • Case

      Tata Group in 2021: Pursuing Profits through Purpose

      By: Tarun Khanna, Krishna G. Palepu and Vidhya Muthuram
      October 8, 2021: Tata Sons won a bid to acquire India’s national carrier Air India, marking the airline's return to its original owners after 68 long years. The winning bid of $2.4 billion gave Tata Sons full ownership of the airline and its coveted network of 6,200... View Details
      Keywords: Corporate Strategy; Mission and Purpose; Corporate Social Responsibility and Impact; Emerging Markets; Mergers and Acquisitions; Ownership; Air Transportation; Air Transportation Industry; India
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      Khanna, Tarun, Krishna G. Palepu, and Vidhya Muthuram. "Tata Group in 2021: Pursuing Profits through Purpose." Harvard Business School Case 124-047, November 2023.
      • November 2023
      • Case

      Apple Inc. in 2023

      By: David B. Yoffie and Sarah von Bargen
      Under CEO Tim Cook, Apple became the first trillion dollar market cap company, the first two trillion dollar company, and the first three trillion dollar company. Since the COVID pandemic, Apple gained over 20% of the world smartphone market and 50% of the U.S. market,... View Details
      Keywords: Competitive Advantage; Product Positioning; Emerging Markets; Competitive Strategy; Technological Innovation; Revenue; Technology Industry
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      Yoffie, David B., and Sarah von Bargen. "Apple Inc. in 2023." Harvard Business School Case 724-419, November 2023.
      • November–December 2023
      • Article

      Network Centralization and Collective Adaptability to a Shifting Environment

      By: Ethan S. Bernstein, Jesse C. Shore and Alice J. Jang
      We study the connection between communication network structure and an organization’s collective adaptability to a shifting environment. Research has shown that network centralization—the degree to which communication flows disproportionately through one or more... View Details
      Keywords: Network Centralization; Collective Intelligence; Organizational Change and Adaptation; Organizational Structure; Communication; Decision Making; Networks; Adaptation
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      Bernstein, Ethan S., Jesse C. Shore, and Alice J. Jang. "Network Centralization and Collective Adaptability to a Shifting Environment." Organization Science 34, no. 6 (November–December 2023): 2064–2096.
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