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- All HBS Web
(5,216)
- Faculty Publications (793)
- 2023
- Article
On the Impact of Actionable Explanations on Social Segregation
By: Ruijiang Gao and Himabindu Lakkaraju
As predictive models seep into several real-world applications, it has become critical to ensure that individuals who are negatively impacted by the outcomes of these models are provided with a means for recourse. To this end, there has been a growing body of research... View Details
Gao, Ruijiang, and Himabindu Lakkaraju. "On the Impact of Actionable Explanations on Social Segregation." Proceedings of the International Conference on Machine Learning (ICML) 40th (2023): 10727–10743.
- September 2023
- Article
The Health Costs of Dirty Energy: Evidence from the Capacity Market in Colombia
By: Achyuta Adhvaryu, Theresa Molina, Anant Nyshadham, Jorge Tamayo and Nicholas Torres
The health effects of “dirty” (fossil fuel driven) energy production are difficult to measure accurately due to the endogeneity of fuel choice. We exploit an electricity policy in Colombia that generates a price-based trigger for the use of thermal energy sources.... View Details
Adhvaryu, Achyuta, Theresa Molina, Anant Nyshadham, Jorge Tamayo, and Nicholas Torres. "The Health Costs of Dirty Energy: Evidence from the Capacity Market in Colombia." Art. 103116. Journal of Development Economics 164 (September 2023).
- September 2023
- Article
Top Talent, Elite Colleges, and Migration: Evidence from the Indian Institutes of Technology
By: Prithwiraj Choudhury, Ina Ganguli and Patrick Gaulé
We study migration in the right tail of the talent distribution using a novel dataset of Indian high school students taking the Joint Entrance Exam (JEE), a college entrance exam used for admission to the prestigious Indian Institutes of Technology (IIT). We find a... View Details
Choudhury, Prithwiraj, Ina Ganguli, and Patrick Gaulé. "Top Talent, Elite Colleges, and Migration: Evidence from the Indian Institutes of Technology." Art. 103120. Journal of Development Economics 164 (September 2023).
- 2023
- Working Paper
LALIGA—From a Soccer Competition Organizer to a Global Player in the Sports and Entertainment Industry
By: Stephen A. Greyser, Kenneth Cortsen and Juan Fuentes Fernández
LALIGA, the first- and second-tier professional soccer league (known as “football” outside of the U.S. and Canada) in Spain, enters its 100th soccer season later this decade. The most popular game in the world (Giulianotti, 2012) has gone through many changes since... View Details
Keywords: Soccer; "Sports Organizations,; Business History; Strategy; Brands and Branding; Technology Adoption; Sports Industry
Greyser, Stephen A., Kenneth Cortsen, and Juan Fuentes Fernández. "LALIGA—From a Soccer Competition Organizer to a Global Player in the Sports and Entertainment Industry." Harvard Business School Working Paper, No. 24-009, August 2023.
- 2023
- Working Paper
Targeting, Personalization, and Engagement in an Agricultural Advisory Service
By: Susan Athey, Shawn Cole, Shanjukta Nath and Jessica Zhu
ICT is increasingly used to deliver customized information in developing countries. We
examine whether individually targeting the timing of automated voice calls meaningfully
increases engagement in an agricultural advisory service. We define, estimate, and... View Details
Keywords: Developing Countries and Economies; Knowledge Dissemination; Customization and Personalization; Performance Effectiveness
Athey, Susan, Shawn Cole, Shanjukta Nath, and Jessica Zhu. "Targeting, Personalization, and Engagement in an Agricultural Advisory Service." Harvard Business School Working Paper, No. 24-006, August 2023.
- August 2023
- Case
Kariyer.net: Recruiting AI
By: Shunyuan Zhang, Fares Khrais and Namrata Arora
In 2017, Fatih Uysal (AMP 2021) became CEO of Kariyer.net. By then, the business was already the industry leading online job board in Turkey. However, faced with stalling growth, a turbulent macroenvironment, and growing competition from international players, Uysal... View Details
Keywords: Online Technology; Marketing; Websites; Artificial Intelligence; Innovation; Two-sided Platforms; Internet and the Web; Product Launch; Product Positioning; Job Search; Employment; Transformation; Volatility; Innovation and Invention; Disruptive Innovation; Management Practices and Processes; Business Growth and Maturation; Competitive Strategy; Business Startups; Talent and Talent Management; Cost vs Benefits; Macroeconomics; Corporate Entrepreneurship; Emerging Markets; Digital Platforms; Information Technology Industry; Information Technology Industry; Information Technology Industry; Middle East; Turkey
Zhang, Shunyuan, Fares Khrais, and Namrata Arora. "Kariyer.net: Recruiting AI." Harvard Business School Case 524-014, August 2023.
- 2024
- Working Paper
The Crowdless Future? Generative AI and Creative Problem Solving
The rapid advances in generative artificial intelligence (AI) open up attractive opportunities for creative problem-solving through human-guided AI partnerships. To explore this potential, we initiated a crowdsourcing challenge focused on sustainable, circular economy... View Details
Keywords: Large Language Models; Crowdsourcing; Generative Ai; Creative Problem-solving; Organizational Search; AI-in-the-loop; Prompt Engineering; AI and Machine Learning; Innovation and Invention
Boussioux, Léonard, Jacqueline N. Lane, Miaomiao Zhang, Vladimir Jacimovic, and Karim R. Lakhani. "The Crowdless Future? Generative AI and Creative Problem Solving." Harvard Business School Working Paper, No. 24-005, July 2023. (Revised July 2024.)
- August 2023
- Article
Explaining Machine Learning Models with Interactive Natural Language Conversations Using TalkToModel
By: Dylan Slack, Satyapriya Krishna, Himabindu Lakkaraju and Sameer Singh
Practitioners increasingly use machine learning (ML) models, yet models have become more complex and harder to understand. To understand complex models, researchers have proposed techniques to explain model predictions. However, practitioners struggle to use... View Details
Slack, Dylan, Satyapriya Krishna, Himabindu Lakkaraju, and Sameer Singh. "Explaining Machine Learning Models with Interactive Natural Language Conversations Using TalkToModel." Nature Machine Intelligence 5, no. 8 (August 2023): 873–883.
- August 2023
- Article
Formal Employment and Organized Crime: Regression Discontinuity Evidence from Colombia
By: Gaurav Khanna, Carlos Medina, Anant Nyshadham, Jorge Tamayo and Nicolas Torres
Safety net programs, common in settings with high informality like Latin America, often use a means test to establish eligibility. We ask: in settings in which organised crime provides lucrative opportunities in the informal market, will discouraging formal employment... View Details
Khanna, Gaurav, Carlos Medina, Anant Nyshadham, Jorge Tamayo, and Nicolas Torres. "Formal Employment and Organized Crime: Regression Discontinuity Evidence from Colombia." Economic Journal 133 (August 2023): 2427–2448.
- 2023
- Article
Towards Bridging the Gaps between the Right to Explanation and the Right to Be Forgotten
By: Himabindu Lakkaraju, Satyapriya Krishna and Jiaqi Ma
The Right to Explanation and the Right to be Forgotten are two important principles outlined to regulate algorithmic decision making and data usage in real-world applications. While the right to explanation allows individuals to request an actionable explanation for an... View Details
Keywords: Analytics and Data Science; AI and Machine Learning; Decision Making; Governing Rules, Regulations, and Reforms
Lakkaraju, Himabindu, Satyapriya Krishna, and Jiaqi Ma. "Towards Bridging the Gaps between the Right to Explanation and the Right to Be Forgotten." Proceedings of the International Conference on Machine Learning (ICML) 40th (2023): 17808–17826.
- 2025
- Working Paper
When Where Watt: Harnessing the Value of Time and Location for Renewable Electricity Generation
By: Vishrut Rana, Christian Kaps and Serguei Netessine
Problem definition: Investments in renewable energy have surged worldwide in recent years, with over $2 trillion spent globally on clean energy. This surge was driven by growing policy support, concerns about energy security, and, most importantly, the cost... View Details
Keywords: Wind Power; Electricity Distribution; Renewable Energy; Profit; Investment Return; Factories, Labs, and Plants; Geographic Location; Revenue; Energy Industry; Utilities Industry
Rana, Vishrut, Christian Kaps, and Serguei Netessine. "When Where Watt: Harnessing the Value of Time and Location for Renewable Electricity Generation." Working Paper, January 2025.
- July 2023
- Supplement
Honeycomb (B): Jumping on The Generative AI Bandwagon?
By: Jeffrey J. Bussgang and Kumba Sennaar
Honeycomb, an audio app enabling users to record stories and save family memories, considers pivoting to embrace generative AI. What should the co-founders business model look like if they pursued this new direction? View Details
- July 2023 (Revised May 2024)
- Case
India Stack: Digital Public Infrastructure for All
By: Tarun Khanna, Anjali Raina and Rachna Chawla
Amitabh Kant, India Sherpa in the year of India's G20 Presidency, and Nandan Nilekani iconic tech entrepreneur wondered how to share India's model of digital public infrastructure to build social and economic inclusion. 'India Stack', the umbrella term for India's DPI... View Details
Keywords: Digital Transformation; Information Technology; Technology Adoption; Developing Countries and Economies; Economic Growth; Information Technology Industry; Information Technology Industry; Information Technology Industry; Asia; South Asia; India
Khanna, Tarun, Anjali Raina, and Rachna Chawla. "India Stack: Digital Public Infrastructure for All." Harvard Business School Case 724-371, July 2023. (Revised May 2024.)
- July 2023 (Revised July 2023)
- Background Note
Generative AI Value Chain
By: Andy Wu and Matt Higgins
Generative AI refers to a type of artificial intelligence (AI) that can create new content (e.g., text, image, or audio) in response to a prompt from a user. ChatGPT, Bard, and Claude are examples of text generating AIs, and DALL-E, Midjourney, and Stable Diffusion are... View Details
Keywords: AI; Artificial Intelligence; Model; Hardware; Data Centers; AI and Machine Learning; Applications and Software; Analytics and Data Science; Value
Wu, Andy, and Matt Higgins. "Generative AI Value Chain." Harvard Business School Background Note 724-355, July 2023. (Revised July 2023.)
- June 2023 (Revised July 2023)
- Case
Social Media Background Screening at Fama Technologies
By: Joseph Pacelli, Jillian Grennan and Alexis Lefort
Fama Technologies is an online screening company that uses AI to analyze job applicants' publicly available online content for signs of risk and culture fit. The case opens with Ben Mones, founder and CEO, looking to secure funding from venture firms. He is running... View Details
Keywords: Human Resources; Recruitment; Retention; Selection and Staffing; Organizational Culture; Talent and Talent Management; AI and Machine Learning; Social Media; Venture Capital; Entrepreneurship; United States
Pacelli, Joseph, Jillian Grennan, and Alexis Lefort. "Social Media Background Screening at Fama Technologies." Harvard Business School Case 123-010, June 2023. (Revised July 2023.)
- June 2023
- Supplement
Social Media Background Screening at Fama Technologies (B)
By: Joseph Pacelli, Jillian Grennan and Alexis Lefort
Fama Technologies is an online screening company that uses AI to analyze job applicants' publicly available online content for signs of risk and culture fit. The case opens with Ben Mones, founder and CEO, looking to secure funding from venture firms. He is running... View Details
Keywords: Human Resources; Recruitment; Retention; Selection and Staffing; Organizational Culture; Talent and Talent Management; United States
Pacelli, Joseph, Jillian Grennan, and Alexis Lefort. "Social Media Background Screening at Fama Technologies (B)." Harvard Business School Supplement 123-086, June 2023.
- June 2023
- Simulation
Artea Dashboard and Targeting Policy Evaluation
By: Ayelet Israeli and Eva Ascarza
Companies deploy A/B experiments to gain valuable insights about their customers in order to answer strategic business problems. In marketing, A/B tests are often used to evaluate marketing interventions intended to generate incremental outcomes for the firm. The Artea... View Details
Keywords: Algorithm Bias; Algorithmic Data; Race And Ethnicity; Experimentation; Promotion; Marketing And Society; Big Data; Privacy; Data-driven Management; Data Analysis; Data Analytics; E-Commerce Strategy; Discrimination; Targeted Advertising; Targeted Policies; Pricing Algorithms; A/B Testing; Ethical Decision Making; Customer Base Analysis; Customer Heterogeneity; Coupons; Marketing; Race; Gender; Diversity; Customer Relationship Management; Marketing Communications; Advertising; Decision Making; Ethics; E-commerce; Analytics and Data Science; Retail Industry; Apparel and Accessories Industry; United States
- June 19, 2023
- Article
Should You Start a Generative AI Company?
Many entrepreneurs are considering starting companies that leverage the latest generative AI technology, but they must ask themselves whether they have what it takes to compete on increasingly commoditized foundational models, or whether they should instead... View Details
De Freitas, Julian. "Should You Start a Generative AI Company?" Harvard Business Review (website) (June 19, 2023).
- June 12, 2023
- Article
How AI Will Accelerate the Circular Economy
By: Shirley Lu and George Serafeim
Despite living on a planet with finite resources, our economy remains largely linear and full of single-use products. The shift toward a circular economy, where companies recover or recycle resources, has hit roadblocks, including low value of used products and high... View Details
Keywords: Recycling; Materials Management; Innovation and Management; Technological Innovation; Climate Change; Environmental Sustainability; AI and Machine Learning; Operations; Technology Industry; Technology Industry; Technology Industry
Lu, Shirley, and George Serafeim. "How AI Will Accelerate the Circular Economy." Harvard Business Review Digital Articles (June 12, 2023).
- 2023
- Working Paper
Design-Based Confidence Sequences: A General Approach to Risk Mitigation in Online Experimentation
By: Dae Woong Ham, Michael Lindon, Martin Tingley and Iavor Bojinov
Randomized experiments have become the standard method for companies to evaluate the performance of new products or services. In addition to augmenting managers’ decision-making, experimentation mitigates risk by limiting the proportion of customers exposed to... View Details
Keywords: Performance Evaluation; Research and Development; Analytics and Data Science; Consumer Behavior
Ham, Dae Woong, Michael Lindon, Martin Tingley, and Iavor Bojinov. "Design-Based Confidence Sequences: A General Approach to Risk Mitigation in Online Experimentation." Harvard Business School Working Paper, No. 23-070, May 2023.