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      • 2024
      • Working Paper

      Valuing Stocks With Earnings

      By: Sebastian Hillenbrand and Odhrain McCarthy
      We show that commonly used aggregate earnings are several times as volatile as stock prices over the last three decades. Movements in the price-earnings ratio are thus entirely explained by earnings growth and unrelated to future returns. As an alternative to the... View Details
      Keywords: Price; Investment Portfolio; Stocks; Behavioral Finance; Accounting
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      Hillenbrand, Sebastian, and Odhrain McCarthy. "Valuing Stocks With Earnings." Working Paper, April 2024.
      • 2025
      • Working Paper

      Greenlighting Innovative Projects: How Evaluation Format Shapes the Perceived Feasibility of Early-Stage Ideas

      By: Jacqueline N. Lane, Simon Friis, Tianxi Cai, Michael Menietti, Griffin Weber and Eva C. Guinan
      The evaluation of innovative early-stage projects is essential for allocating limited resources. We investigate how the evaluation format affects the identification of feasibility issues through a field experiment at a leading research university. Experts were... View Details
      Keywords: Innovation Evaluation; Evaluation Criteria; Feasibility Assessment; Attention Allocation; Cognitive Mechanisms; Field Experiment; Research; Performance Evaluation; Innovation and Invention; Prejudice and Bias
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      Lane, Jacqueline N., Simon Friis, Tianxi Cai, Michael Menietti, Griffin Weber, and Eva C. Guinan. "Greenlighting Innovative Projects: How Evaluation Format Shapes the Perceived Feasibility of Early-Stage Ideas." Harvard Business School Working Paper, No. 24-064, March 2024. (Revised May 2025.)
      • March 2024
      • Case

      Teamworks: Tackling a Forecasting Fumble (A)

      By: N. Louis Shipley and Stacy Straaberg
      In late March 2018, Teamworks CEO Zach Maurides learned Q1 2018 sales were at risk for a large forecasting miss. Founded in 2004, Teamworks’s software application assisted support staff in messaging, scheduling, and sharing documents with collegiate and professional... View Details
      Keywords: Acquisition; Business Growth and Maturation; Communication Strategy; Decisions; Forecasting and Prediction; Business Cycles; Technological Innovation; Sports; Growth and Development Strategy; Resource Allocation; Marketing; Sales; Business Strategy; Expansion; Sports Industry; Technology Industry; United States; North Carolina
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      Shipley, N. Louis, and Stacy Straaberg. "Teamworks: Tackling a Forecasting Fumble (A)." Harvard Business School Case 824-057, March 2024.
      • March 2024
      • Supplement

      Teamworks: Tackling a Forecasting Fumble (B)

      By: N. Louis Shipley, Stacy Straaberg and Tom Quinn
      In late March 2018, Teamworks CEO Zach Maurides learned Q1 2018 sales were at risk for a large forecasting miss. Founded in 2004, Teamworks’s software application assisted support staff in messaging, scheduling, and sharing documents with collegiate and professional... View Details
      Keywords: Acquisition; Business Growth and Maturation; Communication Strategy; Decisions; Forecasting and Prediction; Business Cycles; Technological Innovation; Sports; Growth and Development Strategy; Resource Allocation; Marketing; Sales; Business Strategy; Expansion; Valuation; Sports Industry; Technology Industry; United States; North Carolina
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      Shipley, N. Louis, Stacy Straaberg, and Tom Quinn. "Teamworks: Tackling a Forecasting Fumble (B)." Harvard Business School Supplement 824-148, March 2024.
      • March 2024
      • Teaching Note

      Sonder Holdings Inc.: Using Technology to Solve Hospitality's Frictions

      By: John A. Deighton and Leora Kornfeld
      Teaching Note for HBS Case No. 922-039. Digital disruption is challenging the hospitality industry. Traditional hotels face competition from platforms, most visibly Airbnb but also the homeshare divisions of online travel agencies such as Expedia and Booking.com, that... View Details
      Keywords: Digital Platforms; Disruptive Innovation; Competition; Market Participation; Accommodations Industry
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      Deighton, John A., and Leora Kornfeld. "Sonder Holdings Inc.: Using Technology to Solve Hospitality's Frictions." Harvard Business School Teaching Note 924-302, March 2024.
      • March 2024 (Revised January 2025)
      • Case

      Hippo: Weathering the Storm of the Home Insurance Crisis

      By: Lauren Cohen, Grace Headinger and Sophia Pan
      Rick McCathron, CEO of Hippo, considered how the firm’s underwriting model could account for the effects of climate change. Along with providing smart home packages, targeting risk-friendly customers, and using data-driven pricing, the Insurtech used technologically... View Details
      Keywords: Fintech; Underwriters; Big Data; Insurance Companies; Business Model Design; Weather Insurance; Business Model; Forecasting and Prediction; Climate Change; Environmental Sustainability; Green Technology; Technological Innovation; Natural Environment; Natural Disasters; Weather; Business Strategy; Competitive Advantage; Business Earnings; Insurance; Social Issues; Insurance Industry; United States; California
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      Cohen, Lauren, Grace Headinger, and Sophia Pan. "Hippo: Weathering the Storm of the Home Insurance Crisis." Harvard Business School Case 224-080, March 2024. (Revised January 2025.)
      • 2024
      • Working Paper

      Corporate Debt, Boom-Bust Cycles, and Financial Crises

      By: Victoria Ivashina, Sebnem Kalemli-Özcan, Luc Laeven and Karsten Müller
      Using a new dataset on sectoral credit exposures covering financial and non-financial sectors in 115 economies over the period 1940–2014, we document the following evidence that corporate debt plays a key role in explaining boom-bust cycles, financial crises, and slow... View Details
      Keywords: Financial Crisis; Economic Slowdown and Stagnation; Economic Growth; Economic Sectors; Borrowing and Debt; Credit
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      Ivashina, Victoria, Sebnem Kalemli-Özcan, Luc Laeven, and Karsten Müller. "Corporate Debt, Boom-Bust Cycles, and Financial Crises." NBER Working Paper Series, No. 32225, March 2024.
      • March 2024
      • Module Note

      Navigating the Future: Managing Financial Forecasts

      By: Mark Egan
      This module note guides instructors on delivering a course module that focuses on understanding, developing, and using financial forecasts from a chief financial officer’s (CFO) perspective. The cases in the module equip students with an understanding of the techniques... View Details
      Keywords: CFO; Forecasting; Corporate Finance; Forecasting and Prediction; Financial Management; Revenue; United States
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      Egan, Mark. "Navigating the Future: Managing Financial Forecasts." Harvard Business School Module Note 224-075, March 2024.
      • March 2024
      • Article

      What Makes Groups Emotional

      By: Amit Goldenberg
      When people experience emotions in a group, their emotions tend to have stronger intensity and to last longer. Why is that? This question has occupied thinkers throughout history, and with the use of digital media it is even more pressing today. Historically, attention... View Details
      Keywords: Groups and Teams; Emotions; Cognition and Thinking; Interpersonal Communication
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      Goldenberg, Amit. "What Makes Groups Emotional." Perspectives on Psychological Science 19, no. 2 (March 2024): 489–502.
      • February 2024
      • Teaching Note

      AB InBev: Brewing Up Forecasts during COVID-19

      By: Mark Egan and C. Fritz Foley
      Teaching Note for HBS Case No. 224-020. In July 2021, the CEO of AB InBev's European operations and his team strategized to position the company for success post-pandemic. As the world's largest beer company, boasting over 500 brands, revenue of $46 billion, and a... View Details
      Keywords: Forecasting; Investor Relations; Beverage Industry; Corporate Finance; Decisions; Forecasting and Prediction; Health Pandemics; Analytics and Data Science; Digital Transformation; Crisis Management; Business Model; Food and Beverage Industry; United States; Europe
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      Egan, Mark, and C. Fritz Foley. "AB InBev: Brewing Up Forecasts during COVID-19." Harvard Business School Teaching Note 224-074, February 2024.
      • February 2024
      • Teaching Note

      Data-Driven Denim: Financial Forecasting at Levi Strauss

      By: Mark Egan
      Teaching Note for HBS Case No. 224-029. Levi Strauss & Co. (“Levi Strauss”) partnered with the IT services company Wipro to incorporate more sophisticated methods, such as machine learning, into their financial forecasting process starting in 2018. The decision to... View Details
      Keywords: Forecasting; Regression; Machine Learning; Artificial Intelligence; Apparel; Corporate Finance; Forecasting and Prediction; AI and Machine Learning; Apparel and Accessories Industry; United States
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      Egan, Mark. "Data-Driven Denim: Financial Forecasting at Levi Strauss." Harvard Business School Teaching Note 224-073, February 2024.
      • February 2024
      • Case

      ReSpo.Vision: The Kickstart of an AI Sports Revolution

      By: Paul A. Gompers, Elena Corsi and Nikolina Jonsson
      This case study explores the growth journey of Polish computer vision sports start-up ReSpo.Vision in an emerging entrepreneurial ecosystem. By providing 3D data and analysis to soccer clubs, ReSpo.Vision achieved significant milestones with a €1 million seed round, an... View Details
      Keywords: Business Startups; Business Plan; Experience and Expertise; Talent and Talent Management; Decisions; Decision Choices and Conditions; Forecasting and Prediction; Entrepreneurship; Venture Capital; AI and Machine Learning; Analytics and Data Science; Applications and Software; Business Strategy; Sports Industry; Technology Industry; Poland; Europe
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      Gompers, Paul A., Elena Corsi, and Nikolina Jonsson. "ReSpo.Vision: The Kickstart of an AI Sports Revolution." Harvard Business School Case 824-151, February 2024.
      • February 2024
      • Teaching Note

      Accelerating with Caution: Forecasting and Managing birddogs' Growth (A) and (B)

      By: Mark Egan
      Teaching Note for HBS Case Nos. 224-023 and 224-024. As 2017 was drawing to a close, birddogs’ founder and CEO, Peter Baldwin, was working with his CFO Jack Sullivan to prepare for 2018. A nascent direct-to-consumer apparel brand, birddogs had carved its niche in men’s... View Details
      Keywords: Inventory Management; Forecasting Demand; Financial Constraints; Apparel; Startups; Corporate Finance; Forecasting and Prediction; Working Capital; Financing and Loans; Organizational Change and Adaptation; Demand and Consumers; Apparel and Accessories Industry; United States
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      Egan, Mark. "Accelerating with Caution: Forecasting and Managing birddogs' Growth (A) and (B)." Harvard Business School Teaching Note 224-071, February 2024.
      • 2023
      • Working Paper

      'De Gustibus' and Disputes about Reference Dependence

      By: Thomas Graeber, Pol Campos-Mercade, Lorenz Goette, Alexandre Kellogg and Charles Sprenger
      Existing tests of reference-dependent preferences assume universal loss aversion. This paper examines the implications of heterogeneity in gain-loss attitudes for such tests. In experiments on labor supply and exchange behavior we measure gain-loss attitudes and then... View Details
      Keywords: Behavioral Economics; Decision Choices and Conditions; Forecasting and Prediction
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      Graeber, Thomas, Pol Campos-Mercade, Lorenz Goette, Alexandre Kellogg, and Charles Sprenger. "'De Gustibus' and Disputes about Reference Dependence." Harvard Business School Working Paper, No. 24-046, January 2024.
      • February 2024
      • Module Note

      Data-Driven Marketing in Retail Markets

      By: Ayelet Israeli
      This note describes an eight-class sessions module on data-driven marketing in retail markets. The module aims to familiarize students with core concepts of data-driven marketing in retail, including exploring the opportunities and challenges, adopting best practices,... View Details
      Keywords: Data; Data Analytics; Retail; Retail Analytics; Data Science; Business Analytics; "Marketing Analytics"; Omnichannel; Omnichannel Retailing; Omnichannel Retail; DTC; Direct To Consumer Marketing; Ethical Decision Making; Algorithmic Bias; Privacy; A/B Testing; Descriptive Analytics; Prescriptive Analytics; Predictive Analytics; Analytics and Data Science; E-commerce; Marketing Channels; Demand and Consumers; Marketing Strategy; Retail Industry
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      Israeli, Ayelet. "Data-Driven Marketing in Retail Markets." Harvard Business School Module Note 524-062, February 2024.
      • February 2024
      • Supplement

      ReNew (B): A New Direction

      By: Gunnar Trumbull and Malini Sen
      The global renewables sector was in a slump, but the Indian market was booming. India’s largest renewable electricity generator, ReNew, faced a dilemma: it traded on the Nasdaq in New York, but saw huge opportunity in the Indian market. In response, CEO Sumant Sinha... View Details
      Keywords: Energy Generation; Renewable Energy; Entrepreneurship; Forecasting and Prediction; Trends; Transformation; Private Ownership; Environmental Sustainability; Mission and Purpose; Expansion; Market Entry and Exit; Energy Industry; Asia; India
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      Trumbull, Gunnar, and Malini Sen. "ReNew (B): A New Direction." Harvard Business School Supplement 724-032, February 2024.
      • February 2024
      • Article

      Conveying and Detecting Listening in Live Conversation

      By: Hanne Collins, Julia A. Minson, Ariella S. Kristal and Alison Wood Brooks
      Across all domains of human social life, positive perceptions of conversational listening (i.e., feeling heard) predict well-being, professional success, and interpersonal flourishing. But a fundamental question remains: Are perceptions of listening accurate? Prior... View Details
      Keywords: Interpersonal Communication; Behavior; Perception
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      Collins, Hanne, Julia A. Minson, Ariella S. Kristal, and Alison Wood Brooks. "Conveying and Detecting Listening in Live Conversation." Journal of Experimental Psychology: General 153, no. 2 (February 2024): 473–494.
      • 2024
      • Working Paper

      Corporate Culture Homogeneity and Top Executive Incentive Design: Evidence from CEO Compensation Contracts

      By: Dennis Campbell, Ruidi Shang and Zhifang Zhang
      We examine how corporate cultures characterized by high degrees of homogeneity in the underlying values and beliefs of organizational members are related to the design of CEO incentive compensation contracts. We argue that culture homogeneity within firms lowers... View Details
      Keywords: Corporate Culture; Compensation Design; Accounting; Management Control; Incentive Systems; Organizational Culture; Job Design and Levels; Governance; Executive Compensation; Motivation and Incentives
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      Campbell, Dennis, Ruidi Shang, and Zhifang Zhang. "Corporate Culture Homogeneity and Top Executive Incentive Design: Evidence from CEO Compensation Contracts." Harvard Business School Working Paper, No. 24-054, February 2024.
      • February 2024
      • Article

      Representation and Extrapolation: Evidence from Clinical Trials

      By: Marcella Alsan, Maya Durvasula, Harsh Gupta, Joshua Schwartzstein and Heidi L. Williams
      This article examines the consequences and causes of low enrollment of Black patients in clinical trials. We develop a simple model of similarity-based extrapolation that predicts that evidence is more relevant for decision-making by physicians and patients when it... View Details
      Keywords: Representation; Racial Disparity; Health Testing and Trials; Race; Equality and Inequality; Innovation and Invention; Pharmaceutical Industry
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      Alsan, Marcella, Maya Durvasula, Harsh Gupta, Joshua Schwartzstein, and Heidi L. Williams. "Representation and Extrapolation: Evidence from Clinical Trials." Quarterly Journal of Economics 139, no. 1 (February 2024): 575–635.
      • 2025
      • Working Paper

      Warnings and Endorsements: Improving Human-AI Collaboration in the Presence of Outliers

      By: Matthew DosSantos DiSorbo, Kris Ferreira, Maya Balakrishnan and Jordan Tong
      Problem definition: While artificial intelligence (AI) algorithms may perform well on data that are representative of the training set (inliers), they may err when extrapolating on non-representative data (outliers). How can humans and algorithms work together to make... View Details
      Keywords: AI and Machine Learning; Decision Choices and Conditions
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      DosSantos DiSorbo, Matthew, Kris Ferreira, Maya Balakrishnan, and Jordan Tong. "Warnings and Endorsements: Improving Human-AI Collaboration in the Presence of Outliers." Working Paper, May 2025.
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