Skip to Main Content
HBS Home
  • About
  • Academic Programs
  • Alumni
  • Faculty & Research
  • Baker Library
  • Giving
  • Harvard Business Review
  • Initiatives
  • News
  • Recruit
  • Map / Directions
Faculty & Research
  • Faculty
  • Research
  • Featured Topics
  • Academic Units
  • …→
  • Harvard Business School→
  • Faculty & Research→
  • Research
    • Research
    • Publications
    • Global Research Centers
    • Case Development
    • Initiatives & Projects
    • Research Services
    • Seminars & Conferences
    →
  • Publications→

Publications

Publications

Filter Results: (2,839) Arrow Down
Filter Results: (2,839) Arrow Down Arrow Up

Show Results For

  • All HBS Web  (2,839)
    • People  (14)
    • News  (649)
    • Research  (1,572)
    • Events  (19)
    • Multimedia  (9)
  • Faculty Publications  (840)

Show Results For

  • All HBS Web  (2,839)
    • People  (14)
    • News  (649)
    • Research  (1,572)
    • Events  (19)
    • Multimedia  (9)
  • Faculty Publications  (840)
← Page 15 of 2,839 Results →
  • 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
  • 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
Keywords: Ethics; Employment; Corporate Social Responsibility and Impact; Technological Innovation; AI and Machine Learning; Diversity; Prejudice and Bias; Technology Industry
Citation
Purchase
Related
Neeley, Tsedal, and Tim Englehart. "Timnit Gebru: 'SILENCED No More' on AI Bias and The Harms of Large Language Models." Harvard Business School Teaching Note 424-028, October 2023.
  • 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
Citation
Related
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–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
Citation
Find at Harvard
Register to Read
Related
Bojinov, Iavor. "Keep Your AI Projects on Track." Harvard Business Review 101, no. 6 (November–December 2023): 53–59.
  • 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
Citation
SSRN
Related
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.
  • 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
Keywords: Groups and Teams; Learning; Integration; Relationships; Agreements and Arrangements
Citation
Find at Harvard
Read Now
Related
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.
  • 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
Citation
SSRN
Find at Harvard
Related
Serafeim, George. "Public Sentiment and the Price of Corporate Sustainability." Financial Analysts Journal 76, no. 2 (2020): 26–46.
  • 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
Keywords: Large Language Model; AI and Machine Learning; Creativity; Innovation Strategy
Citation
Read Now
Purchase
Related
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.
  • 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
  • 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
Keywords: Service Delivery; Value; Health Care and Treatment; Experience and Expertise; Health Industry
Citation
Find at Harvard
Related
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.
  • 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
Citation
Read Now
Related
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.
  • 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
  • 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
Keywords: Large Language Model; AI and Machine Learning
Citation
Educators
Purchase
Related
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
Citation
Educators
Purchase
Related
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
Keywords: Large Language Models; AI and Machine Learning; Innovation and Invention; Decision Making
Citation
SSRN
Read Now
Related
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.)
  • 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
Citation
SSRN
Find at Harvard
Related
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
Citation
Find at Harvard
Read Now
Related
Imai, Kosuke, and Michael Lingzhi Li. "Experimental Evaluation of Individualized Treatment Rules." Journal of the American Statistical Association 118, no. 541 (2023): 242–256.
  • March 2019
  • Case

DayTwo: Going to Market with Gut Microbiome

By: Ayelet Israeli and David Lane
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: Start-up Growth; Startup; Positioning; Targeting; Go To Market Strategy; B2B2C; B2B Vs. B2C; Health & Wellness; AI; Machine Learning; Female Ceo; Female Protagonist; Science-based; Science And Technology Studies; Ecommerce; Applications; DTC; Direct To Consumer Marketing; US Health Care; "USA,"; Innovation; Pricing; Business Growth; Segmentation; Distribution Channels; Growth and Development Strategy; Business Startups; Science-Based Business; Health; Innovation and Invention; Marketing; Information Technology; Business Growth and Maturation; E-commerce; Applications and Software; Health Industry; Technology Industry; Insurance Industry; Information Technology Industry; Food and Beverage Industry; Israel; United States
Citation
Educators
Purchase
Related
Israeli, Ayelet, and David Lane. "DayTwo: Going to Market with Gut Microbiome." Harvard Business School Case 519-010, March 2019.
  • January–February 2025
  • Article

Want Your Company to Get Better at Experimentation?: Learn Fast by Democratizing Testing

By: Iavor Bojinov, David Holtz, Ramesh Johari, Sven Schmit and Martin Tingley
For years, online experimentation has fueled the innovations of leading tech companies, enabling them to rapidly test and refine new ideas, optimize product features, personalize user experiences, and maintain a competitive edge. The widespread availability and lower... View Details
Keywords: Technological Innovation; AI and Machine Learning; Analytics and Data Science; Product Development; Competitive Advantage
Citation
Find at Harvard
Register to Read
Related
Bojinov, Iavor, David Holtz, Ramesh Johari, Sven Schmit, and Martin Tingley. "Want Your Company to Get Better at Experimentation? Learn Fast by Democratizing Testing." Harvard Business Review 103, no. 1 (January–February 2025): 96–103.
  • 2013
  • Article

The Strategic Fitness Process: A Collaborative Action Research Method for Developing Organizational Prototypes and Dynamic Capabilities

By: Michael Beer
Organizations underperform and sometimes fail because their leaders are unable to learn the unvarnished truth from relevant stakeholders about how the design and behavior of the organization is misaligned with its goals and strategy. The Strategic Fitness Process (SFP)... View Details
Keywords: Organization Alignment; Dynamic Capabilities; Organization Design; Organizational Prototyping; Organizational Silence; Organizational Learning; Organizational Change and Adaptation; Strategic Planning; Organizational Design
Citation
Read Now
Related
Beer, Michael. "The Strategic Fitness Process: A Collaborative Action Research Method for Developing Organizational Prototypes and Dynamic Capabilities." Journal of Organization Design 2, no. 1 (2013).
  • ←
  • 15
  • 16
  • …
  • 141
  • 142
  • →
ǁ
Campus Map
Harvard Business School
Soldiers Field
Boston, MA 02163
→Map & Directions
→More Contact Information
  • Make a Gift
  • Site Map
  • Jobs
  • Harvard University
  • Trademarks
  • Policies
  • Accessibility
  • Digital Accessibility
Copyright © President & Fellows of Harvard College.