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Show Results For
- All HBS Web
(2,882)
- People (14)
- News (651)
- Research (1,597)
- Events (19)
- Multimedia (9)
- Faculty Publications (869)
- 12 Mar 2019
- Blog Post
What I Learned in the Africa Rising Short Intensive Program
several market segments. In the program, we discussed several examples of unconventional business models formed to bridge some of these gaps (amongst them were agent-based banking, employer-paid education services, and tech-enabled farmer... View Details
- June 2020 (Revised August 2020)
- Supplement
Vanguard Retail Operations (B)
By: Willy C. Shih and Antonio Moreno
The first two cases in this series are set in the financial services industry, and explore whether it is better for back-office workers to be generalists who provide the flexibility of being able to handle the complete range of transactions that the company faces or... View Details
Keywords: Pooling; Generalist Model; Specialist Model; Service Operations; Management; Financial Services Industry; United States
Shih, Willy C., and Antonio Moreno. "Vanguard Retail Operations (B)." Harvard Business School Supplement 620-105, June 2020. (Revised August 2020.)
- October 2023
- Teaching Note
Timnit Gebru: 'SILENCED No More' on AI Bias and The Harms of Large Language Models
By: Tsedal Neeley and Tim Englehart
Teaching Note for HBS Case No. 422-085. Dr. Timnit Gebru—a leading artificial intelligence (AI) computer scientist and co-lead of Google’s Ethical AI team—was messaging with one of her colleagues when she saw the words: “Did you resign?? Megan sent an email saying that... View Details
- June 30, 2020
- Article
Scaling Up Behavioral Science Interventions in Online Education
By: Rene F. Kizilcec, Justin Reich, Michael Yeomans, Christoph Dann, Emma Brunskill, Glenn Lopez, Selen Turkay, Joseph J. Williams and Dustin Tingley
Online education is rapidly expanding in response to rising demand for higher and continuing education, but many online students struggle to achieve their educational goals. Several behavioral science interventions have shown promise in raising student persistence and... View Details
Keywords: Online Learning; Behavioral Interventions; Scale; Education; Online Technology; Performance Improvement
Kizilcec, Rene F., Justin Reich, Michael Yeomans, Christoph Dann, Emma Brunskill, Glenn Lopez, Selen Turkay, Joseph J. Williams, and Dustin Tingley. "Scaling Up Behavioral Science Interventions in Online Education." Proceedings of the National Academy of Sciences 117, no. 26 (June 30, 2020).
- 2010
- Working Paper
Being a Leader and the Effective Exercise of Leadership: An Ontological Model (PDF File of PowerPoint Slides)
By: Werner Erhard, Michael C. Jensen and Kari Granger
This presentation is based on our research program over the last seven years in which our objective has been to rigorously distinguish leader and leadership and to create a technology for providing access to being a leader and exercising leadership effectively (in... View Details
Keywords: Curriculum and Courses; Innovation and Invention; Leadership Development; Goals and Objectives; Research and Development; Attitudes; Perception; Technology; United States
Erhard, Werner, Michael C. Jensen, and Kari Granger. "Being a Leader and the Effective Exercise of Leadership: An Ontological Model (PDF File of PowerPoint Slides)." Harvard Business School Working Paper, No. 09-124, October 2010.
- November–December 2023
- Article
Keep Your AI Projects on Track
By: Iavor Bojinov
AI—and especially its newest star, generative AI—is today a central theme in corporate boardrooms, leadership discussions, and casual exchanges among employees eager to supercharge their productivity. Sadly, beneath the aspirational headlines and tantalizing potential... View Details
Keywords: Generative Models; AI and Machine Learning; Success; Failure; Product Development; Technology Adoption
Bojinov, Iavor. "Keep Your AI Projects on Track." Harvard Business Review 101, no. 6 (November–December 2023): 53–59.
- 2005
- Article
Group Learning: A Multi-Level Model Integrating Interpersonal Congruence, Transactive Memory and Feedback Processes
By: Manuel London, Jeffrey T. Polzer and Heather Omoregie
London, Manuel, Jeffrey T. Polzer, and Heather Omoregie. "Group Learning: A Multi-Level Model Integrating Interpersonal Congruence, Transactive Memory and Feedback Processes." Human Resource Development Review 4, no. 2 (2005): 114–136.
- 2023
- Article
M4: A Unified XAI Benchmark for Faithfulness Evaluation of Feature Attribution Methods across Metrics, Modalities, and Models
By: Himabindu Lakkaraju, Xuhong Li, Mengnan Du, Jiamin Chen, Yekun Chai and Haoyi Xiong
While Explainable Artificial Intelligence (XAI) techniques have been widely studied to explain predictions made by deep neural networks, the way to evaluate the faithfulness of explanation results remains challenging, due to the heterogeneity of explanations for... View Details
Keywords: AI and Machine Learning
Lakkaraju, Himabindu, Xuhong Li, Mengnan Du, Jiamin Chen, Yekun Chai, and Haoyi Xiong. "M4: A Unified XAI Benchmark for Faithfulness Evaluation of Feature Attribution Methods across Metrics, Modalities, and Models." Advances in Neural Information Processing Systems (NeurIPS) (2023).
- November 2015
- Article
Influence of Experience and the Surgical Learning Curve on Long-term Patient Outcomes in Cardiac Surgery
By: Bryan M. Burt, Andrew W. ElBardissi, Robert S. Huckman, Lawrence H. Cohn, Marisa W. Cevasco, James D. Rawn, Sary F. Aranki and John G. Byrne
OBJECTIVE: We hypothesized that increased post-graduate surgical experience correlates with improved operative efficiency and long-term survival in standard cardiac surgery procedures.
METHODS: Utilizing a prospectively collected retrospective database,... View Details
METHODS: Utilizing a prospectively collected retrospective database,... View Details
Keywords: Service Delivery; Value; Health Care and Treatment; Experience and Expertise; Health Industry
Burt, Bryan M., Andrew W. ElBardissi, Robert S. Huckman, Lawrence H. Cohn, Marisa W. Cevasco, James D. Rawn, Sary F. Aranki, and John G. Byrne. "Influence of Experience and the Surgical Learning Curve on Long-term Patient Outcomes in Cardiac Surgery." Journal of Thoracic and Cardiovascular Surgery 150, no. 5 (November 2015): 1061–1067.
- 2020
- Article
Public Sentiment and the Price of Corporate Sustainability
By: George Serafeim
Combining corporate sustainability performance scores based on environmental, social, and governance (ESG) data with big data measuring public sentiment about a company’s sustainability performance, I find that the valuation premium paid for companies with strong... View Details
Keywords: Sustainability; ESG; ESG (Environmental, Social, Governance) Performance; Investment Management; Investment Strategy; Big Data; Machine Learning; Environment; Environmental Sustainability; Corporate Governance; Performance; Asset Pricing; Investment; Management; Strategy; Human Capital; Public Opinion; Value; Analytics and Data Science
Serafeim, George. "Public Sentiment and the Price of Corporate Sustainability." Financial Analysts Journal 76, no. 2 (2020): 26–46.
- 14 Sep 2018
- Blog Post
10 Things I Learned During My First Month in the MS/MBA: Engineering Sciences Program
Business Modeling The last part of the course revolved around modeling and analyzing a company using the tools covered in prior classes. We learned how to apply an engineering... View Details
- Web
Blending Traditional Models of Philanthropy with Business | Social Enterprise | Harvard Business School
Blending Traditional Models of Philanthropy with Business Background Making a difference in the world, as cliché as it sounds, is a fundamental value that drives my career. My father practiced traditional oriental medicine where there is... View Details
- Article
Entrepreneurship in the Large Corporation: A Longitudinal Study of How Established Firms Create Breakthrough Inventions
By: Gautam Ahuja and Curba Morris Lampert
We present a model that explains how established firms create breakthrough inventions. We identify three organizational pathologies that inhibit breakthrough inventions: the familiarity trap—favoring the familiar; the maturity trap—favoring the mature;... View Details
Keywords: Radical Innovation; Organizational Learning; Technology; Strategy; Corporate Entrepreneurship; Business Processes; Innovation and Invention; Chemical Industry
Ahuja, Gautam, and Curba Morris Lampert. "Entrepreneurship in the Large Corporation: A Longitudinal Study of How Established Firms Create Breakthrough Inventions." Special Issue on Strategic Entrepreneurship: Entrepreneurial Strategies for Wealth Creation. Strategic Management Journal 22, nos. 6-7 (June–July 2001): 521–543.
- June 2025
- Article
Ideation with Generative AI—In Consumer Research and Beyond
By: Julian De Freitas, G. Nave and Stefano Puntoni
The use of large language models (LLMs) in consumer research is rapidly evolving, with applications including synthetic data generation, data analysis, and more. However, their role in creative ideation—a cornerstone of consumer research—remains underexplored. Drawing... View Details
De Freitas, Julian, G. Nave, and Stefano Puntoni. "Ideation with Generative AI—In Consumer Research and Beyond." Journal of Consumer Research 51, no. 1 (June 2025): 18–31.
- October 2024
- Technical Note
Prompt Engineering
By: Michael Parzen and Jo Ellery
This note covers the basics of prompt engineering, a key tool for making use of modern generative AI. We discuss the principles of prompt engineering and illustrate these principles with techniques for asking questions. We further list the types of prompts that can be... View Details
Parzen, Michael, and Jo Ellery. "Prompt Engineering." Harvard Business School Technical Note 625-056, October 2024.
- August 2018 (Revised October 2019)
- Case
C3.ai—Driven to Succeed
By: Robert Simons and George Gonzalez
CEO Tom Siebel navigates his artificial intelligence (ai) startup through a series of pivots, market expansions, and even an elephant attack to become a leading platform ad service provider. The case describes his unusual management approach emphasizing employee... View Details
Keywords: Strategy Execution; Performance Measurement; Critical Performance Variables; Strategic Boundaries; Internet Of Things; Artificial Intelligence; Software Development; Big Data; Machine Learning; Business Startups; Management Style; Business Strategy; Performance; Measurement and Metrics; Organizational Culture; AI and Machine Learning; Digital Transformation; Applications and Software; Digital Marketing; Analytics and Data Science; Technology Industry; United States; California
Simons, Robert, and George Gonzalez. "C3.ai—Driven to Succeed." Harvard Business School Case 119-004, August 2018. (Revised October 2019.)
- 2025
- Working Paper
Narrative AI and the Human-AI Oversight Paradox in Evaluating Early-Stage Innovations
By: Jacqueline N. Lane, Léonard Boussioux, Charles Ayoubi, Ying Hao Chen, Camila Lin, Rebecca Spens, Pooja Wagh and Pei-Hsin Wang
Do AI-generated narrative explanations enhance human oversight or diminish it? We investigate this question through a field experiment with 228 evaluators screening 48 early-stage innovations under three conditions: human-only, black-box AI recommendations without... View Details
Lane, Jacqueline N., Léonard Boussioux, Charles Ayoubi, Ying Hao Chen, Camila Lin, Rebecca Spens, Pooja Wagh, and Pei-Hsin Wang. "Narrative AI and the Human-AI Oversight Paradox in Evaluating Early-Stage Innovations." Harvard Business School Working Paper, No. 25-001, August 2024. (Revised May 2025.)
- Article
Using Gen AI for Early-Stage Market Research
By: James Brand, Ayelet Israeli and Donald Ngwe
Generative AI, particularly large language models (LLMs), offers a promising new tool for early-stage market research by simulating customer responses to product concepts. This can allow companies to draw conclusions similar to those they’d obtain by surveying... View Details
Keywords: Large Language Models; Large Language Model; Generative Ai; Artificial Intelligence; Market Research; Research; Marketing; AI and Machine Learning; Analytics and Data Science; Analysis; Customers; Consumer Behavior; Technology Industry; Information Technology Industry
Brand, James, Ayelet Israeli, and Donald Ngwe. "Using Gen AI for Early-Stage Market Research." Harvard Business Review (website) (July 18, 2025).
- September 2018
- Article
Discretionary Task Ordering: Queue Management in Radiological Services
By: Maria Ibanez, Jonathan R. Clark, Robert S. Huckman and Bradley R. Staats
Work-scheduling research typically prescribes task sequences implemented by managers. Yet employees often have discretion to deviate from their prescribed sequence. Using data from 2.4 million radiological diagnoses, we find that doctors prioritize similar tasks... View Details
Keywords: Discretion; Scheduling; Queue; Healthcare; Learning; Experience; Decentralization; Operations; Service Operations; Service Delivery; Performance; Performance Effectiveness; Performance Efficiency; Performance Improvement; Performance Productivity; Decisions; Time Management; Cost vs Benefits; Health Industry
Ibanez, Maria, Jonathan R. Clark, Robert S. Huckman, and Bradley R. Staats. "Discretionary Task Ordering: Queue Management in Radiological Services." Management Science 64, no. 9 (September 2018): 4389–4407. (Working paper available here. Winner of the 2017 Best Paper Competition of the POMS College of Healthcare Operations Management. Featured in Forbes, Quartz, and Inc.)
- 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.