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Publications

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    • All HBS Web  (1,359)
      • Faculty Publications  (73)

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      • June 2025
      • Case

      TagHive: Edtech Pricing and Distributor Decisions

      By: Isamar Troncoso, Frank V. Cespedes and Stacy Straaberg
      Education technology (edtech) company TagHive, founded in 2017, used a direct sales team and third-party distributors to sell its Class Saathi hardware and software solution to 300 clients, mainly primary and secondary schools in India. The product aimed to improve... View Details
      Keywords: Business Model; Marketing Channels; Marketing Strategy; Product Marketing; Social Marketing; Information Infrastructure; Information Technology; Internet and the Web; Mobile and Wireless Technology; Technology Adoption; Education; Teaching; Price; Customer Relationship Management; Customer Satisfaction; Growth and Development; Technological Innovation; Education Industry; Technology Industry; India; South Korea
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      Troncoso, Isamar, Frank V. Cespedes, and Stacy Straaberg. "TagHive: Edtech Pricing and Distributor Decisions." Harvard Business School Case 525-001, June 2025.
      • 2025
      • Working Paper

      Balancing Engagement and Polarization: Multi-Objective Alignment of News Content Using LLMs

      By: Mengjie Cheng, Elie Ofek and Hema Yoganarasimhan
      We study how media firms can use LLMs to generate news content that aligns with multiple objectives—making content more engaging while maintaining a preferred level of polarization/slant consistent with the firm’s editorial policy. Using news articles from The New York... View Details
      Keywords: Large Language Models; Content Creation; Media; Polarization; Generative Ai; Direct Preference Optimization; AI and Machine Learning; News; Perspective; Digital Marketing; Policy; Media and Broadcasting Industry
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      Cheng, Mengjie, Elie Ofek, and Hema Yoganarasimhan. "Balancing Engagement and Polarization: Multi-Objective Alignment of News Content Using LLMs." Harvard Business School Working Paper, No. 25-051, April 2025.
      • April 2025
      • Case

      Breezm: Innovative 3D-Printed Eyewear (A)

      By: Juan Alcácer, Brian Mao Fu and Adina Wong
      In 2023, Breezm, a South Korean startup, faced a strategic decision about how to grow its innovative 3D-printed, custom-fit eyewear business. Co-founded in 2017 by Zenma Park and Wooseok Sung, Breezm combined facial scanning, AI, and in-house production to solve the... View Details
      Keywords: 3D Printing; Eyeyewear; Growth; Business Startups; AI and Machine Learning; Technological Innovation; Growth and Development Strategy; Risk and Uncertainty; Expansion; South Korea
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      Alcácer, Juan, Brian Mao Fu, and Adina Wong. "Breezm: Innovative 3D-Printed Eyewear (A)." Harvard Business School Case 725-376, April 2025.
      • 2025
      • Working Paper

      Dynamic Personalization with Multiple Customer Signals: Multi-Response State Representation in Reinforcement Learning

      By: Liangzong Ma, Ta-Wei Huang, Eva Ascarza and Ayelet Israeli
      Reinforcement learning (RL) offers potential for optimizing sequences of customer interactions by modeling the relationships between customer states, company actions, and long-term value. However, its practical implementation often faces significant challenges.... View Details
      Keywords: Dynamic Policy; Deep Reinforcement Learning; Representation Learning; Dynamic Difficulty Adjustment; Latent Variable Models; Customer Relationship Management; Customer Value and Value Chain; Foreign Direct Investment; Analytics and Data Science
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      Ma, Liangzong, Ta-Wei Huang, Eva Ascarza, and Ayelet Israeli. "Dynamic Personalization with Multiple Customer Signals: Multi-Response State Representation in Reinforcement Learning." Harvard Business School Working Paper, No. 25-037, February 2025.
      • January 2025 (Revised April 2025)
      • Case

      Duolingo: On a 'Streak'

      By: Jeffrey F. Rayport, Nicole Tempest Keller and Nicole Luo
      In December 2024, Severin Hacker, Co-Founder and Chief Technology Officer of Duolingo, reflected on the remarkable evolution of the language-learning app he helped launch in 2011. As the #1 most downloaded education app in the world, Duolingo had over 100 million... View Details
      Keywords: Learning; AI and Machine Learning; Growth and Development Strategy; Motivation and Incentives; Diversification; Business Model; Market Entry and Exit; Technology Industry; Education Industry; United States
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      Rayport, Jeffrey F., Nicole Tempest Keller, and Nicole Luo. "Duolingo: On a 'Streak'." Harvard Business School Case 825-097, January 2025. (Revised April 2025.)
      • May 2024
      • Case

      Pernod Ricard: Uncorking Digital Transformation

      By: Iavor Bojinov, Edward McFowland III, François Candelon, Nikolina Jonsson and Emer Moloney
      This case study explores the opportunities and challenges of the digital transformation journey of French wine and spirits company Pernod Ricard. As part of the transformation, the company launched four key digital programs (KDPs) aimed at using data and artificial... View Details
      Keywords: Business Organization; Business Divisions; Talent and Talent Management; Global Strategy; AI and Machine Learning; Analytics and Data Science; Digital Transformation; Digital Strategy; Advertising; Sales; Organizational Culture; Product Development; Decision Making; Technology Adoption; Alignment; Expansion; Food and Beverage Industry; France; Europe
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      Bojinov, Iavor, Edward McFowland III, François Candelon, Nikolina Jonsson, and Emer Moloney. "Pernod Ricard: Uncorking Digital Transformation." Harvard Business School Case 624-095, May 2024.
      • 2024
      • Working Paper

      Platform Information Provision and Consumer Search: A Field Experiment

      By: Lu Fang, Yanyou Chen, Chiara Farronato, Zhe Yuan and Yitong Wang
      Despite substantial efforts to help consumers search in more intuitive ways, text search remains the predominant tool for product discovery online. In this paper, we explore the effects of visual and textual cues for search refinement on consumer search and purchasing... View Details
      Keywords: Consumer Behavior; E-commerce; Decision Choices and Conditions; Learning; Internet and the Web
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      Fang, Lu, Yanyou Chen, Chiara Farronato, Zhe Yuan, and Yitong Wang. "Platform Information Provision and Consumer Search: A Field Experiment." NBER Working Paper Series, No. 32099, February 2024.
      • January 2024
      • Case

      Flashfood: The Magic of Commitment

      By: Reza Satchu and Patrick Sanguineti
      Josh Domingues had accomplished what countless young entrepreneurs long to achieve: founding a promising company that aspires to make the world a tangibly better place. Shocked to learn that international food waste cumulatively amounted to the world’s third largest... View Details
      Keywords: Entrepreneur; Founder; Startup; Business Model; Business Startups; Food; Applications and Software; Mission and Purpose; Environmental Sustainability; Canada
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      Satchu, Reza, and Patrick Sanguineti. "Flashfood: The Magic of Commitment." Harvard Business School Case 824-131, January 2024.
      • 2024
      • Working Paper

      Contributing to Growth? The Role of Open Source Software for Global Startups

      By: Nataliya Langburd Wright, Frank Nagle and Shane Greenstein
      How does participating in open source software (OSS) communities spur entrepreneurial growth? To address this question, we analyze novel data matching accounts from GitHub—the largest OSS hosting platform—to the universe of global software venture-backed firms... View Details
      Keywords: Applications and Software; Open Source Distribution; Entrepreneurship; Business Growth and Maturation; Human Capital; Valuation; Corporate Strategy
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      Wright, Nataliya Langburd, Frank Nagle, and Shane Greenstein. "Contributing to Growth? The Role of Open Source Software for Global Startups." Harvard Business School Working Paper, No. 24-040, January 2024. (Revised August 2024.)
      • October 2023
      • Case

      Shredder Setups or Straightlining into Risk?: Investing in What You Love

      By: Lauren Cohen and Grace Headinger
      Bob Hall, President of Green Gables Partners, evaluated whether to angel invest into an up-and-coming ski brand. As the son-in-law of the founder of Vera Bradley and having retired from a lengthy career on Wall Street, Hall was well-versed in both direct investing and... View Details
      Keywords: Family Office; Angel Investors; Direct Investment; Family Business; Business Growth and Maturation; Small Business; Financial Strategy; Personal Finance; Investment Portfolio; Private Equity; Decision Choices and Conditions; Risk and Uncertainty; Consumer Products Industry; Montana; United States
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      Cohen, Lauren, and Grace Headinger. "Shredder Setups or Straightlining into Risk?: Investing in What You Love." Harvard Business School Case 224-018, October 2023.
      • October 2023 (Revised January 2024)
      • Case

      SEK: Reimagining Spanish Higher Education at Universidad Camilo José Cela (UCJC)

      By: John J-H Kim, Mary C. Sauer and Emilie Billaud
      In 2023, Nieves Segovia, President of the SEK Education Group in Spain, contemplates the future of her family's for-profit education company, which includes K-12 schools and the newly established UCJC university. Renowned for its innovation in education, SEK faces... View Details
      Keywords: Family Business; Curriculum and Courses; Higher Education; Teaching; Digital Strategy; Disruptive Innovation; Knowledge Dissemination; Leading Change; Growth and Development Strategy; Management Succession; Resource Allocation; Organizational Structure; Education Industry; Europe; Spain
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      Kim, John J-H, Mary C. Sauer, and Emilie Billaud. "SEK: Reimagining Spanish Higher Education at Universidad Camilo José Cela (UCJC)." Harvard Business School Case 324-050, October 2023. (Revised January 2024.)
      • 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
      Problem Definition: Considerable academic and practitioner attention is placed on the value of ex-post interactions (i.e., overrides) in the human-AI interface. In contrast, relatively little attention has been paid to ex-ante human-AI interactions (e.g., the... View Details
      Keywords: AI and Machine Learning; Employees; Performance Effectiveness
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      Kwon, Caleb, Antonio Moreno, and Ananth Raman. "The Impact of Input Inaccuracy on Leveraging AI Tools: Evidence from Algorithmic Labor Scheduling." Working Paper, January 2025.
      • July 2023
      • Case

      DayTwo: Going to Market with Gut Microbiome (Abridged)

      By: Ayelet Israeli
      DayTwo is a young Israeli startup that applies research on the gut microbiome and machine learning algorithms to deliver personalized nutritional recommendations to its users in order to minimize blood sugar spikes after meals. After a first year of trial rollout in... View Details
      Keywords: Business Startups; AI and Machine Learning; Nutrition; Market Entry and Exit; Product Marketing; Distribution Channels
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      Israeli, Ayelet. "DayTwo: Going to Market with Gut Microbiome (Abridged)." Harvard Business School Case 524-015, July 2023.
      • 2023
      • Article

      Exploiting Discovered Regression Discontinuities to Debias Conditioned-on-observable Estimators

      By: Benjamin Jakubowski, Siram Somanchi, Edward McFowland III and Daniel B. Neill
      Regression discontinuity (RD) designs are widely used to estimate causal effects in the absence of a randomized experiment. However, standard approaches to RD analysis face two significant limitations. First, they require a priori knowledge of discontinuities in... View Details
      Keywords: Regression Discontinuity Design; Analytics and Data Science; AI and Machine Learning
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      Jakubowski, Benjamin, Siram Somanchi, Edward McFowland III, and Daniel B. Neill. "Exploiting Discovered Regression Discontinuities to Debias Conditioned-on-observable Estimators." Journal of Machine Learning Research 24, no. 133 (2023): 1–57.
      • April 2023
      • Article

      Learning Down to Train Up: Mentors Are More Effective When They Value Insights from Below

      By: Ting Zhang, Dan Wang and Adam D. Galinsky
      Although mentorship is vital for individual success, potential mentors often view it as a costly burden. To understand what motivates mentors to overcome this barrier and more fully engage with their mentees, we introduce a new construct, learning direction, which... View Details
      Keywords: Mentoring; Learning Direction; Interpersonal Communication; Learning; Leadership Development
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      Zhang, Ting, Dan Wang, and Adam D. Galinsky. "Learning Down to Train Up: Mentors Are More Effective When They Value Insights from Below." Academy of Management Journal 66, no. 2 (April 2023): 604–637.
      • 2023
      • Working Paper

      The Limits of Algorithmic Measures of Race in Studies of Outcome Disparities

      By: David S. Scharfstein and Sergey Chernenko
      We show that the use of algorithms to predict race has significant limitations in measuring and understanding the sources of racial disparities in finance, economics, and other contexts. First, we derive theoretically the direction and magnitude of measurement bias in... View Details
      Keywords: Racial Disparity; Paycheck Protection Program; Measurement Error; AI and Machine Learning; Race; Measurement and Metrics; Equality and Inequality; Prejudice and Bias; Forecasting and Prediction; Outcome or Result
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      Scharfstein, David S., and Sergey Chernenko. "The Limits of Algorithmic Measures of Race in Studies of Outcome Disparities." Working Paper, April 2023.
      • 2023
      • Chapter

      Marketing Through the Machine’s Eyes: Image Analytics and Interpretability

      By: Shunyuan Zhang, Flora Feng and Kannan Srinivasan
      he growth of social media and the sharing economy is generating abundant unstructured image and video data. Computer vision techniques can derive rich insights from unstructured data and can inform recommendations for increasing profits and consumer utility—if only the... View Details
      Keywords: Transparency; Marketing Research; Algorithmic Bias; AI and Machine Learning; Marketing
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      Zhang, Shunyuan, Flora Feng, and Kannan Srinivasan. "Marketing Through the Machine’s Eyes: Image Analytics and Interpretability." Chap. 8 in Artificial Intelligence in Marketing. 20, edited by Naresh K. Malhotra, K. Sudhir, and Olivier Toubia, 217–238. Review of Marketing Research. Emerald Publishing Limited, 2023.
      • January 2023
      • Article

      Psychological Safety Comes of Age: Observed Themes in an Established Literature

      By: Amy C. Edmondson and Derrick P. Bransby
      Since its renaissance in the 1990s, psychological safety research has flourished—a boom motivated by recognition of the challenge of navigating uncertainty and change. Today, its theoretical and practical significance is amplified by the increasingly complex and... View Details
      Keywords: Safety; Risk and Uncertainty; Leadership; Working Conditions; Research; Performance; Learning; Organizational Culture
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      Edmondson, Amy C., and Derrick P. Bransby. "Psychological Safety Comes of Age: Observed Themes in an Established Literature." Annual Review of Organizational Psychology and Organizational Behavior 10 (January 2023): 55–78.
      • December 13, 2022
      • Article

      What Elon Musk Can Learn from Steve Jobs’s Return to Apple

      By: Andy Wu and Goran Calic
      Changing the strategic direction of an existing company is among the hardest management challenges out there. Most attempts fail. In trying to remake Twitter, Elon Musk has a daunting task ahead of him. There’s precedent, however, for dramatically reimagining a major... View Details
      Keywords: Business or Company Management; Corporate Strategy; Change Management; Transformation
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      Wu, Andy, and Goran Calic. "What Elon Musk Can Learn from Steve Jobs’s Return to Apple." Harvard Business Review (website) (December 13, 2022).
      • October 2022 (Revised February 2024)
      • Case

      Masdar City: Aiming for Sustainable and Profitable Real Estate

      By: Boris Vallee and Fares Khrais
      Masdar City broke ground in 2008 and was conceived by the Abu Dhabi government to be an international beacon of innovation in sustainable energy and real estate. It was also to be a profitable investment for the government. At first glance, the two goals pulled in... View Details
      Keywords: Analysis; Business Growth And Maturation; Decisions; Public Sector; Financial Crisis; Construction; Climate Change; Green Technology; Borrowing And Debt; Corporate Finance; Capital; Capital Budgeting; Capital Structure; Cost Of Capital; Equity; REIT; Financial Management; Financial Strategy; Initial Public Offering; Innovation; Growth And Development Strategy; Emerging Markets; Urban Development; Middle East; United Arab Emirates; Sustainable Cities; Green Building; Business and Government Relations; Decision Choices and Conditions; Financing and Loans; Real Estate Industry; Construction Industry; Energy Industry; Green Technology Industry; Abu Dhabi
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      Vallee, Boris, and Fares Khrais. "Masdar City: Aiming for Sustainable and Profitable Real Estate." Harvard Business School Case 223-036, October 2022. (Revised February 2024.)
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