Filter Results:
(368)
Show Results For
- All HBS Web
(748)
- News (182)
- Research (368)
- Events (6)
- Multimedia (13)
- Faculty Publications (291)
Show Results For
- All HBS Web
(748)
- News (182)
- Research (368)
- Events (6)
- Multimedia (13)
- Faculty Publications (291)
Sort by
- Forthcoming
- Article
Engaging Customers with AI in Online Chats: Evidence from a Randomized Field Experiment
By: Shunyuan Zhang and Das Narayandas
We examine how artificial intelligence (AI) affected the productivity of customer service agents and customer sentiment in online interactions. Collaborating with a meal delivery company, we conducted a randomized field experiment that exploited exogenous variation in... View Details
- 2025
- Working Paper
Warnings and Endorsements: Improving Human-AI Collaboration in the Presence of Outliers
By: Matthew DosSantos DiSorbo, Kris Ferreira, Maya Balakrishnan and Jordan Tong
Problem definition: While artificial intelligence (AI) algorithms may perform well on data that are representative of the training set (inliers), they may err when extrapolating on non-representative data (outliers). How can humans and algorithms work together to make... View Details
DosSantos DiSorbo, Matthew, Kris Ferreira, Maya Balakrishnan, and Jordan Tong. "Warnings and Endorsements: Improving Human-AI Collaboration in the Presence of Outliers." Working Paper, May 2025.
- May–June 2024
- Article
Setting Gendered Expectations? Recruiter Outreach Bias in Online Tech Training Programs
By: Jacqueline N. Lane, Karim R. Lakhani and Roberto Fernandez
Competence development in digital technologies, analytics, and artificial intelligence is increasingly important to all types of organizations and their workforce. Universities and corporations are investing heavily in developing training programs, at all tenure... View Details
Lane, Jacqueline N., Karim R. Lakhani, and Roberto Fernandez. "Setting Gendered Expectations? Recruiter Outreach Bias in Online Tech Training Programs." Organization Science 35, no. 3 (May–June 2024): 911–927.
- 2023
- Working Paper
Setting Gendered Expectations? Recruiter Outreach Bias in Online Tech Training Programs
By: Jacqueline N. Lane, Karim R. Lakhani and Roberto Fernandez
Competence development in digital technologies, analytics, and artificial intelligence is increasingly important to all types of organizations and their workforce. Universities and corporations are investing heavily in developing training programs, at all tenure... View Details
Keywords: STEM; Selection and Staffing; Gender; Prejudice and Bias; Training; Equality and Inequality; Competency and Skills
Lane, Jacqueline N., Karim R. Lakhani, and Roberto Fernandez. "Setting Gendered Expectations? Recruiter Outreach Bias in Online Tech Training Programs." Harvard Business School Working Paper, No. 23-066, April 2023. (Accepted by Organization Science.)
- September 2024
- Article
The Human Side of the Future of Work: Understanding the Role People Play in Shaping a Changing World
By: Jochen I. Menges, Lauren C. Howe, Erika Hall, Jon M. Jachimowicz, Sharon K. Parker, Riki Takeuchi, Abhijeet K. Vadera, Ashley Whillans and Susan K. Cohen
For as long as there has been work, there has been a “future of work,” through humans’ ingenuity and drive to get things done easier, faster, and better. With the industrial revolution, efforts to shape a better future of work were dominated by improvements in... View Details
Menges, Jochen I., Lauren C. Howe, Erika Hall, Jon M. Jachimowicz, Sharon K. Parker, Riki Takeuchi, Abhijeet K. Vadera, Ashley Whillans, and Susan K. Cohen. "The Human Side of the Future of Work: Understanding the Role People Play in Shaping a Changing World." Academy of Management Discoveries 10, no. 3 (September 2024): 307–318.
- March 2024 (Revised August 2024)
- Case
Darktrace: Scaling Cybersecurity and AI (A)
By: Jeffrey F. Rayport and Alexis Lefort
In 2023, Darktrace CEO Poppy Gustafsson was contemplating her growth strategy at a leading U.K.-based cybersecurity venture, launched in 2013 by a group of anti-terror cyber specialists, University of Cambridge mathematicians, and artificial intelligence (AI) experts.... View Details
Keywords: Technology; Talent; Scaling; Entrepreneurship; Cybersecurity; Leadership; Business Growth and Maturation; Recruitment; Resignation and Termination; AI and Machine Learning; Growth and Development Strategy; Organizational Culture; Going Public; Technology Industry; United Kingdom; Europe; United States
Rayport, Jeffrey F., and Alexis Lefort. "Darktrace: Scaling Cybersecurity and AI (A)." Harvard Business School Case 824-092, March 2024. (Revised August 2024.)
- 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
- 2019
- Article
Overcoming Cultural Resistance to Open Source Innovation
By: John Winsor, Jin Hyun Paik, Michael Tushman and Karim R. Lakhani
Purpose: This article offers insight on how to effectively help incumbent organizations prepare for global business shifts to open source and digital business models.
Design/methodology/approach: Discussion related to observation, experience and case studies... View Details
Design/methodology/approach: Discussion related to observation, experience and case studies... View Details
Keywords: Open Source Innovation; Organizational Culture; Organizational Change and Adaptation; Business Model; Technological Innovation; Collaborative Innovation and Invention
Winsor, John, Jin Hyun Paik, Michael Tushman, and Karim R. Lakhani. "Overcoming Cultural Resistance to Open Source Innovation." Strategy & Leadership 47, no. 6 (2019): 28–33.
- March 2024 (Revised June 2025)
- Teaching Note
CoPilot(s): Generative AI at Microsoft and GitHub
By: Frank Nagle and Maria P. Roche
This teaching note is the companion to case N9-624-010 CoPilot(s): Generative AI at Microsoft and GitHub, which takes place in late 2021. The case briefly describes the history of both GitHub and Microsoft with a particular focus on open source software (OSS)—software... View Details
- 05 Feb 2024
- Research & Ideas
The Middle Manager of the Future: More Coaching, Less Commanding
American Journal of Sociology. While artificial intelligence promises to transform the workplace and disrupt the organizational chart, Zhang’s research suggests that middle managers will still play a key... View Details
Keywords: by Ben Rand
- July 2019 (Revised May 2021)
- Case
Acelerex
By: John R. Wells and Benjamin Weinstock
In early 2019, Randell Johnson, Founder and Chief Executive of Acelerex, was reflecting on the company’s first year of rapid growth and the challenges of scaling the business that lay ahead. Acelerex was riding the waves of change taking place in electrical power grids... View Details
Keywords: Energy; Energy Sources; Growth Management; Expansion; Global Strategy; Cash Flow; Energy Industry; Web Services Industry; Consulting Industry
Wells, John R., and Benjamin Weinstock. "Acelerex." Harvard Business School Case 720-360, July 2019. (Revised May 2021.)
- 31 Oct 2023
- HBS Case
Checking Your Ethics: Would You Speak Up in These 3 Sticky Situations?
analysis for a client and take a shortcut by relying on an artificial intelligence language model to develop some key insights. The client loves your report and praises the quality of your suggestions.... View Details
- Teaching Interest
Overview
Paul is primarily interested in teaching data science to management students through the case method. This includes technical topics (programming and statistics) as well as higher-level management issues (digital transformation, data governance, etc.) As a research... View Details
Keywords: A/B Testing; AI; AI Algorithms; AI Creativity; Algorithm; Algorithm Bias; Algorithmic Bias; Algorithmic Fairness; Algorithms; Analytics; Application Program Interface; Artificial Intelligence; Causality; Causal Inference; Computing; Computers; Data Analysis; Data Analytics; Data Architecture; Data As A Service; Data Centers; Data Governance; Data Labeling; Data Management; Data Manipulation; Data Mining; Data Ownership; Data Privacy; Data Protection; Data Science; Data Science And Analytics Management; Data Scientists; Data Security; Data Sharing; Data Strategy; Data Visualization; Database; Data-driven Decision-making; Data-driven Management; Data-driven Operations; Datathon; Economics Of AI; Economics Of Innovation; Economics Of Information System; Economics Of Science; Forecast; Forecast Accuracy; Forecasting; Forecasting And Prediction; Information Technology; Machine Learning; Machine Learning Models; Prediction; Prediction Error; Predictive Analytics; Predictive Models; Analysis; AI and Machine Learning; Analytics and Data Science; Applications and Software; Digital Transformation; Information Management; Digital Strategy; Technology Adoption
- 09 Jan 2024
- In Practice
Harnessing AI: What Businesses Need to Know in ChatGPT’s Second Year
As a new year begins, the role of artificial intelligence (AI) and its impact on the future of work permeates nearly every workplace-related discussion, from diversity, equity, and inclusion goals and... View Details
- 22 Nov 2023
- Research & Ideas
Humans vs. Machines: Untangling the Tasks AI Can (and Can't) Handle
Knowing when to use artificial intelligence and when to rely on the human mind is a shifting fine line, one delineated by new research that shows considerable benefit and speed from generative AI—if it’s... View Details
- 24 Jul 2023
- Research & Ideas
Part-Time Employees Want More Hours. Can Companies Tap This ‘Hidden’ Talent Pool?
workforce, since an ever-growing proportion of college and graduate school enrollees are women, he adds. This planning is even more necessary with the advent of Artificial Intelligence (AI), Fuller cautions.... View Details
Keywords: by Kara Baskin
- 25 Jan 2024
- Research & Ideas
Being a Team Player: Why College Athletes Succeed in Business
Good for Your Career After All Feedback or ideas to share? Email the Working Knowledge team at hbswk@hbs.edu. Image note: The illustration was created using art generated by Midjourney, an artificial View Details
Keywords: by Rachel Layne
- 01 May 2024
- What Do You Think?
Have You Had Enough?
(Illustration created using image generated by Midjourney, an artificial intelligence tool.) Last month, I posted a column in HBS Working Knowledge titled, “What’s Enough to Make Us Happy?” Over the last few... View Details
Keywords: by James Heskett
- 23 Jan 2024
- Research & Ideas
How to Keep Employees Productive: Support Caregivers
Can Apprenticeships Work in the US? Employers Seeking New Talent Pipelines Take Note 5 Companies Where Employees Move Up the Ladder Fast Feedback or ideas to share? Email the Working Knowledge team at hbswk@hbs.edu. Image note: Illustration was created using art... View Details
Keywords: by Kara Baskin
- 11 Jun 2024
- In Practice
The Harvard Business School Faculty Summer Reader 2024
As the vacation season looms, Harvard Business School faculty members share recommendations for a little light reading. Spoiler alert: Lessons in Chemistry tops two of their beach-read lists. For those whose brains can’t—or won’t—turn off, HBS faculty also suggest some... View Details
Keywords: by Avery Forman