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(5,592)
- Faculty Publications (1,105)
- January 2023 (Revised August 2023)
- Case
Veeva Systems and the Transformation to a Public Benefit Corporation
By: Ranjay Gulati and Allison M. Ciechanover
Peter Gassner, the co-founder and CEO of Veeva Systems, steered the company through rapid scaling from its launch in 2007 to 2022. Year after year, the company had exceeded expectations, with its market capitalization reaching $50 billion at its peak. By 2022, the... View Details
Keywords: Transformation; Corporate Governance; Corporate Social Responsibility and Impact; Mission and Purpose; Organizational Culture; Information Technology Industry; Technology Industry; United States; California
Gulati, Ranjay, and Allison M. Ciechanover. "Veeva Systems and the Transformation to a Public Benefit Corporation." Harvard Business School Case 423-045, January 2023. (Revised August 2023.)
- January 2023
- Case
Proday: Calling the Right Play
By: Lindsay N. Hyde, Thomas R. Eisenmann and Tom Quinn
Sarah Kunst knew the elements of a successful startup from her tenure at venture capital firms. In April 2018, however, her own app – Proday, a home fitness platform featuring exercises filmed by professional sports stars – was floundering. Kunst theorized that... View Details
Keywords: Social Media; Entrepreneurship; Advertising; Digital Marketing; Product Launch; Social Marketing; Failure; Sports; Applications and Software; Business Startups; Technology Industry; United States
Hyde, Lindsay N., Thomas R. Eisenmann, and Tom Quinn. "Proday: Calling the Right Play." Harvard Business School Case 823-005, January 2023.
- January–February 2023
- Article
Data-Driven COVID-19 Vaccine Development for Janssen
By: Dimitris Bertsimas, Michael Lingzhi Li, Xinggang Liu, Jennings Xu and Najat Khan
The COVID-19 pandemic has spurred extensive vaccine research worldwide. One crucial part of vaccine development is the phase III clinical trial that assesses the vaccine for safety and efficacy in the prevention of COVID-19. In this work, we enumerate the first... View Details
Keywords: COVID-19; Health Testing and Trials; Forecasting and Prediction; AI and Machine Learning; Research; Pharmaceutical Industry
Bertsimas, Dimitris, Michael Lingzhi Li, Xinggang Liu, Jennings Xu, and Najat Khan. "Data-Driven COVID-19 Vaccine Development for Janssen." INFORMS Journal on Applied Analytics 53, no. 1 (January–February 2023): 70–84.
- 2 Mar 2023 - 4 Mar 2023
- Conference Presentation
Ethical Risks of Autonomous Products: The Case of Mental Health Crises on AI Companion Applications
By: Julian De Freitas, K. Uguralp and Z. Oguz
De Freitas, Julian, K. Uguralp, and Z. Oguz. "Ethical Risks of Autonomous Products: The Case of Mental Health Crises on AI Companion Applications." Paper presented at the Society for Consumer Psychology Annual Conference, San Juan, PR, March 2–4, 2023.
- 2023
- Article
Experimental Evaluation of Individualized Treatment Rules
By: Kosuke Imai and Michael Lingzhi Li
The increasing availability of individual-level data has led to numerous applications of individualized (or personalized) treatment rules (ITRs). Policy makers often wish to empirically evaluate ITRs and compare their relative performance before implementing them in a... View Details
Keywords: Causal Inference; Heterogeneous Treatment Effects; Precision Medicine; Uplift Modeling; Analytics and Data Science; AI and Machine Learning
Imai, Kosuke, and Michael Lingzhi Li. "Experimental Evaluation of Individualized Treatment Rules." Journal of the American Statistical Association 118, no. 541 (2023): 242–256.
- 2 Mar 2023 - 4 Mar 2023
- Conference Presentation
Stigma Against AI Companion Applications
By: Julian De Freitas, A. Ragnhildstveit, K. Uguralp and Z. Oguz
De Freitas, Julian, A. Ragnhildstveit, K. Uguralp, and Z. Oguz. "Stigma Against AI Companion Applications." Paper presented at the Society for Consumer Psychology Annual Conference, San Juan, PR, March 2–4, 2023.
- December 2022 (Revised September 2024)
- Case
Sword Health
By: Regina E. Herzlinger, Annelena Lobb and Carin-Isabel Knoop
Virgilio “V” Bento, CEO of Sword Health—a startup that provided virtual physical therapy to patients in self-insured firms via AI and sensor technology with supervision by a physical therapist with a doctorate—considered how to increase its U.S. market share. To do so,... View Details
Keywords: Business Growth and Maturation; Competitive Strategy; Health Industry; Technology Industry
Herzlinger, Regina E., Annelena Lobb, and Carin-Isabel Knoop. "Sword Health." Harvard Business School Case 323-022, December 2022. (Revised September 2024.)
- December 2022 (Revised January 2025)
- Case
Akooda: Charging Toward Operational Intelligence
By: Christopher Stanton and Mel Martin
The Akooda case describes the challenges confronting founder and CEO Yuval Gonczarowski (MBA ‘17) in 2022 as he attempts to boost sales. Launched in November 2020, Akooda was an AI company that mined 20 different sources of digital data, from tools like Slack, Google... View Details
Keywords: Data Mining; Productivity; Monitoring; Data Analysis; AI and Machine Learning; Knowledge Management; Operations; Problems and Challenges; Employee Relationship Management; Information Technology Industry; Technology Industry; Information Industry; Boston; Israel
Stanton, Christopher, and Mel Martin. "Akooda: Charging Toward Operational Intelligence." Harvard Business School Case 823-018, December 2022. (Revised January 2025.)
- Working Paper
Diversification as an Adaptive Learning Process: An Empirical Study of General-Purpose and Market-Specific Technological Know-How in New Market Entry
By: Dominika Kinga Randle and Gary P. Pisano
An enduring trait of modern corporations is their propensity to diversify into multiple lines of business. Penrosian theories conceptualize diversification as a strategy to exploit a firm’s fungible, yet “untradeable,” resources and point to redeployment of... View Details
Keywords: Growth and Development Strategy; Technology Adoption; Diversification; Market Entry and Exit; Transformation
Randle, Dominika Kinga, and Gary P. Pisano. "Diversification as an Adaptive Learning Process: An Empirical Study of General-Purpose and Market-Specific Technological Know-How in New Market Entry." Harvard Business School Working Paper, No. 23-032, December 2022.
- 2023
- Working Paper
Nailing Prediction: Experimental Evidence on the Value of Tools in Predictive Model Development
By: Daniel Yue, Paul Hamilton and Iavor Bojinov
Predictive model development is understudied despite its centrality in modern artificial
intelligence and machine learning business applications. Although prior discussions
highlight advances in methods (along the dimensions of data, computing power, and
algorithms)... View Details
Keywords: Analytics and Data Science
Yue, Daniel, Paul Hamilton, and Iavor Bojinov. "Nailing Prediction: Experimental Evidence on the Value of Tools in Predictive Model Development." Harvard Business School Working Paper, No. 23-029, December 2022. (Revised April 2023.)
- December 2022 (Revised August 2023)
- Case
Circles.Life at a Crossroads of Growth
By: Juan Alcácer and Adina Wong
In June 2022, the founders of Singapore mobile operator Circles.Life had a crucial decision to make. Circles.Life developed a new business model in mobile telecommunications—a digital telco—built around its proprietary operating system. After expanding its brand in... View Details
Keywords: Business Model; Decisions; Technological Innovation; Applications and Software; Business Strategy; Telecommunications Industry; Singapore
Alcácer, Juan, and Adina Wong. "Circles.Life at a Crossroads of Growth." Harvard Business School Case 723-404, December 2022. (Revised August 2023.)
- 2022
- Working Paper
Human-Computer Interactions in Demand Forecasting and Labor Scheduling Decisions
By: Caleb Kwon, Ananth Raman and Jorge Tamayo
We empirically analyze how managerial overrides to a commercial algorithm that forecasts demand and schedules labor affect store performance. We analyze administrative data from a large grocery retailer that utilizes a commercial algorithm to forecast demand and... View Details
Keywords: Employees; Human Capital; Performance; Applications and Software; Management Skills; Management Practices and Processes; Retail Industry
Kwon, Caleb, Ananth Raman, and Jorge Tamayo. "Human-Computer Interactions in Demand Forecasting and Labor Scheduling Decisions." Working Paper, December 2022. (R&R Management Science.)
- 2022
- Article
OpenXAI: Towards a Transparent Evaluation of Model Explanations
By: Chirag Agarwal, Satyapriya Krishna, Eshika Saxena, Martin Pawelczyk, Nari Johnson, Isha Puri, Marinka Zitnik and Himabindu Lakkaraju
While several types of post hoc explanation methods have been proposed in recent literature, there is very little work on systematically benchmarking these methods. Here, we introduce OpenXAI, a comprehensive and extensible opensource framework for evaluating and... View Details
Agarwal, Chirag, Satyapriya Krishna, Eshika Saxena, Martin Pawelczyk, Nari Johnson, Isha Puri, Marinka Zitnik, and Himabindu Lakkaraju. "OpenXAI: Towards a Transparent Evaluation of Model Explanations." Advances in Neural Information Processing Systems (NeurIPS) (2022).
- November 2022 (Revised March 2024)
- Case
Replika AI: Monetizing a Chatbot
By: Julian De Freitas and Nicole Tempest Keller
In early 2018, Eugenia Kuyda, co-founder and CEO of San Francisco-based chatbot Replika AI, was deciding how to monetize the app she had built. Launched in 2017, Replika was a consumer AI “companion app” developed by a team of AI software engineers originally based in... View Details
Keywords: Mental Health; Subscriber Models; TAM; Monetization Strategy; Marketing Strategy; Product Marketing; AI and Machine Learning; Applications and Software; Product Positioning; Health Disorders; Technology Industry
De Freitas, Julian, and Nicole Tempest Keller. "Replika AI: Monetizing a Chatbot." Harvard Business School Case 523-016, November 2022. (Revised March 2024.)
- November 2022
- Case
Para: Pay Transparency and Gig Drivers' Rights
By: Christopher Stanton and George Gonzalez
The case presents the founding vision and early days of a young startup that seeks to empower delivery drivers with tools and transparency. The company's flagship mobile app has been taken up by tens of thousands of delivery drivers across major U.S. cities who use it... View Details
Keywords: Gig Workers; Corporate Entrepreneurship; Entrepreneurship; Business Startups; Applications and Software; Disruptive Innovation; Compensation and Benefits; Technology Industry; San Francisco
Stanton, Christopher, and George Gonzalez. "Para: Pay Transparency and Gig Drivers' Rights." Harvard Business School Case 823-072, November 2022.
- October 2022 (Revised December 2022)
- Case
SMART: AI and Machine Learning for Wildlife Conservation
By: Brian Trelstad and Bonnie Yining Cao
Spatial Monitoring and Reporting Tool (SMART), a set of software and analytical tools designed for the purpose of wildlife conservation, had demonstrated significant improvements in patrol coverage, with some observed reductions in poaching and contributing to wildlife... View Details
Keywords: Business and Government Relations; Emerging Markets; Technology Adoption; Strategy; Management; Ethics; Social Enterprise; AI and Machine Learning; Analytics and Data Science; Natural Environment; Technology Industry; Cambodia; United States; Africa
Trelstad, Brian, and Bonnie Yining Cao. "SMART: AI and Machine Learning for Wildlife Conservation." Harvard Business School Case 323-036, October 2022. (Revised December 2022.)
- October 2022 (Revised January 2025)
- Case
Founders First Capital Partners: An Approach to Capital Access Equity
By: Brian Trelstad, Mel Martin and Amy Klopfenstein
In June 2021, Kim T. Folsom, the founder and CEO of revenue-based financing firm Founders First Capital Partners (FFCP), must decide whether to issue another loan to OnShore Technology Group, an up-and-coming software validation company. FFCP provided revenue-based... View Details
Keywords: Finance; Financial Instruments; Financing and Loans; Interest Rates; Investment Return; Revenue; Capital; Financial Services Industry; North and Central America; United States
Trelstad, Brian, Mel Martin, and Amy Klopfenstein. "Founders First Capital Partners: An Approach to Capital Access Equity." Harvard Business School Case 323-013, October 2022. (Revised January 2025.)
- October 17, 2022
- Article
Relational Diversity in Social Portfolios Predicts Well-Being
By: Hanne K. Collins, Serena F. Hagerty, Jordi Quoidbach, Michael I. Norton and Alison Wood Brooks
We document a link between the relational diversity of one’s social portfolio—the richness and evenness of relationship types across one’s social interactions—and well-being. Across four distinct samples, respondents from the United States who completed a preregistered... View Details
Keywords: Social Interaction; Social Engagement; Well-being; Happiness; Social and Collaborative Networks; Family and Family Relationships
Collins, Hanne K., Serena F. Hagerty, Jordi Quoidbach, Michael I. Norton, and Alison Wood Brooks. "Relational Diversity in Social Portfolios Predicts Well-Being." Proceedings of the National Academy of Sciences 119, no. 43 (October 17, 2022).
- October–December 2022
- Article
Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem
By: Mochen Yang, Edward McFowland III, Gordon Burtch and Gediminas Adomavicius
Combining machine learning with econometric analysis is becoming increasingly prevalent in both research and practice. A common empirical strategy involves the application of predictive modeling techniques to "mine" variables of interest from available data, followed... View Details
Keywords: Machine Learning; Econometric Analysis; Instrumental Variable; Random Forest; Causal Inference; AI and Machine Learning; Forecasting and Prediction
Yang, Mochen, Edward McFowland III, Gordon Burtch, and Gediminas Adomavicius. "Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem." INFORMS Journal on Data Science 1, no. 2 (October–December 2022): 138–155.
- September 2022 (Revised May 2024)
- Case
Navya: Steering toward a Driverless Future
By: Julian De Freitas, Elie Ofek, Shaun Ingledew and Tonia Labruyere
In 2022, Sophie Desormière arrived at French roboshuttle producer Navya, tasked with charting a new course in a challenging sector. The company, which had recently listed on the Paris Stock Exchange, was burning through cash reserves and needed to transform the promise... View Details
Keywords: Autonomous Vehicles; Market Entry and Exit; Opportunities; Governing Rules, Regulations, and Reforms; Consumer Behavior; Business Model; Auto Industry; Transportation Industry; France; United States
De Freitas, Julian, Elie Ofek, Shaun Ingledew, and Tonia Labruyere. "Navya: Steering toward a Driverless Future." Harvard Business School Case 523-046, September 2022. (Revised May 2024.)