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- All HBS Web
(3,076)
- People (14)
- News (651)
- Research (1,590)
- Events (19)
- Multimedia (9)
- Faculty Publications (870)
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- May 2024
- Teaching Note
AI21 Labs in 2023: Strategy for Generative AI
By: David Yoffie
Teaching Note for HBS Case 724-383. The case has 3 important teaching purposes: First, what are the advantages and disadvantages of imitation? (e.g., Should AI21 imitate OpenAI with a chatbot?) Second, what are the advantages and disadvantages of keeping new technology... View Details
- March 2025
- Article
Novice Risk Work: How Juniors Coaching Seniors on Emerging Technologies Such as Generative AI Can Lead to Learning Failures
By: Katherine C. Kellogg, Hila Lifshitz-Assaf, Steven Randazzo, Ethan Mollick, Fabrizio Dell'Acqua, Edward McFowland III, François Candelon and Karim R. Lakhani
The literature on communities of practice demonstrates that a proven way for senior professionals to upskill
themselves in the use of new technologies that undermine existing expertise is to learn from junior
professionals. It notes that juniors may be better able... View Details
Keywords: Rank and Position; Competency and Skills; Technology Adoption; Experience and Expertise; AI and Machine Learning
Kellogg, Katherine C., Hila Lifshitz-Assaf, Steven Randazzo, Ethan Mollick, Fabrizio Dell'Acqua, Edward McFowland III, François Candelon, and Karim R. Lakhani. "Novice Risk Work: How Juniors Coaching Seniors on Emerging Technologies Such as Generative AI Can Lead to Learning Failures." Art. 100559. Information and Organization 35, no. 1 (March 2025).
- Research Summary
Overview
Paul is primarily interested in studying explainable machine learning (ML), digital transformation, and data science operations. He works on research that explores how stakeholders within organizations can use machine learning to make better decisions. In particular,... View Details
- September–October 2024
- Article
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; Generative Ai; Crowdsourcing; AI and Machine Learning; Creativity; Technological Innovation
Boussioux, Léonard, Jacqueline N. Lane, Miaomiao Zhang, Vladimir Jacimovic, and Karim R. Lakhani. "The Crowdless Future? Generative AI and Creative Problem-Solving." Organization Science 35, no. 5 (September–October 2024): 1589–1607.
- 2017
- Working Paper
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; Delegation; Behavioral Operations; 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." Harvard Business School Working Paper, No. 16-051, October 2015. (Revised March 2017.)
- 2012
- Working Paper
An Outside-Inside Evolution in Gender and Professional Work
By: Lakshmi Ramarajan, Kathleen McGinn and Deborah Kolb
We study the process by which a professional service firm reshaped its activities and beliefs over nearly two decades as it adapted to shifts in the social discourse regarding gender and work. Analyzing archival data from the firm over eighteen years and... View Details
Keywords: Professional Service Firms; Social Institutions; Organizational Learning; Organizational Change and Adaptation; Employment; Gender; Society; Service Industry
Ramarajan, Lakshmi, Kathleen McGinn, and Deborah Kolb. "An Outside-Inside Evolution in Gender and Professional Work." Harvard Business School Working Paper, No. 13-051, November 2012. (Work in progress for requested submission, Research in Organizational Behavior.)
- Teaching Interest
Empirical Technology and Operations Management Course
I taught a set of lectures on "Introduction to Machine Learning for Social Scientists" as part of this required course for first year PhD students. This module familiarizes students with all the basic concepts in machine learning, their implementations, as well as the... View Details
- November 2020
- Teaching Note
DayTwo: Going to Market with Gut Microbiome
By: Ayelet Israeli
Teaching Note for HBS Case No. 519-010. 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.... View Details
Keywords: Start-up Growth; Startup; Positioning; Targeting; Go To Market Strategy; B2B Vs. B2C; B2B2C; 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
- Teaching Interest
Managing Service Operations - MBA Elective Curriculum
By: Ryan W. Buell
World-class service organizations deeply understand the needs and behaviors of their customers, and design, manage, and improve their operating models accordingly. This course investigates the distinct challenges inherent in leading service operations, which make up... View Details
- June 2022 (Revised January 2023)
- Case
Buurtzorg
By: Ethan Bernstein, Tatiana Sandino, Joost Minnaar and Annelena Lobb
As co-founders of home nursing company Buurtzorg, Jos de Blok and Gonnie Kronenberg prized both self-management and organizational learning. Buurtzorg’s 10,000 nurses across 950 neighborhood nursing teams in the Netherlands were empowered to manage themselves, both in... View Details
Keywords: Healthcare; Best Practices; Best Practices Transfer; Flat Organization; Self-Managed Organizations; Self-Managed Teams; Organizational Learning; Knowledge Management; Learning; Management Practices and Processes; Human Resources; Communication; Organizational Structure; Organizational Design; Organizational Change and Adaptation; Groups and Teams; Networks; Health Industry; Netherlands; Europe
Bernstein, Ethan, Tatiana Sandino, Joost Minnaar, and Annelena Lobb. "Buurtzorg." Harvard Business School Case 122-101, June 2022. (Revised January 2023.)
- 2024
- Working Paper
Climate Solutions, Transition Risk, and Stock Returns
By: Shirley Lu, Edward J. Riedl, Simon Xu and George Serafeim
Using large language models to measure firms' climate solution products and services, we find that high-climate solution firms exhibit lower stock returns and higher market valuation multiples. Their stock prices respond positively to events signaling increased demand... View Details
Keywords: Technology; Generative Ai; Large Language Models; Climate Finance; Climate Change; Innovation and Invention; Environmental Sustainability; AI and Machine Learning; Investment; Financial Markets
Lu, Shirley, Edward J. Riedl, Simon Xu, and George Serafeim. "Climate Solutions, Transition Risk, and Stock Returns." Harvard Business School Working Paper, No. 25-024, November 2024.
- August 2014
- Case
Opening the Valve: From Software to Hardware (A)
By: Ethan Bernstein, Francesca Gino and Bradley Staats
Valve, one of the world's top video game software companies, has also become an iconic example of an organization with virtually no hierarchy. A 400-person organization, Valve's unique organizational form (described in detail in the case and accompanying employee... View Details
Keywords: Valve; Self-Managed Organizations; Organization Design; Strategy; Flat Organization; Video Games; Organization Alignment; Family Business; Steam; Steam Machine; Design; Games, Gaming, and Gambling; Human Resources; Collaborative Innovation and Invention; Technological Innovation; Leadership Style; Management Practices and Processes; Organizational Design; Organizational Structure; Organizational Culture; Organizational Change and Adaptation; Groups and Teams; Alignment; Software; Hardware; Video Game Industry; Seattle
Bernstein, Ethan, Francesca Gino, and Bradley Staats. "Opening the Valve: From Software to Hardware (A)." Harvard Business School Case 415-015, August 2014.
- 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.)
- Teaching Interest
Data Science and Artificial Intelligence for Leaders
By: Chiara Farronato
With artificial intelligence (AI)... View Details
- 22 Feb 2024
- Research & Ideas
How to Make AI 'Forget' All the Private Data It Shouldn't Have
generative AI. Prior machine learning systems did leak training data. The difference here is that first of all, these things are being so widely deployed. And so, there's just greater risk when so many... View Details
- August 2013 (Revised November 2020)
- Case
Tesla Motors
In mid-2013, Tesla Motors was riding a wave of success: It had launched its first really mass-produced car—the model S—to rave reviews; had recently raised first-year production targets; and had started taking orders for its next car, the Model X. Tesla seemed to be on... View Details
Keywords: Barriers To Entry; Economic Analysis; Learning Curve; Economies Of Scale; Innovation; Market Entry; Sustainable Competitive Advantage; Vision; Strategy And Leadership; Strategy; Competitive Strategy; Market Entry and Exit; Competitive Advantage; Technological Innovation; Leadership; Learning; Economics; Analysis; Auto Industry
Van den Steen, Eric. "Tesla Motors." Harvard Business School Case 714-413, August 2013. (Revised November 2020.)
- 2022
- Working Paper
The Evolution of ESG Reports and the Role of Voluntary Standards
By: Ethan Rouen, Kunal Sachdeva and Aaron Yoon
We examine the evolution of ESG reports of S&P 500 firms from 2010 to 2021. The
percentage of firms releasing these voluntary disclosures increased from 35% to 86%
during this period, although the length of these documents experienced more modest
growth. Using a... View Details
Keywords: Voluntary Disclosure; Textual Analysis; Modeling And Analysis; Corporate Social Responsibility and Impact; AI and Machine Learning; Accounting
Rouen, Ethan, Kunal Sachdeva, and Aaron Yoon. "The Evolution of ESG Reports and the Role of Voluntary Standards." Harvard Business School Working Paper, No. 23-024, October 2022.
- 2025
- Working Paper
Balancing Engagement and Polarization: Multi-Objective Alignment of News Content Using LLMs
By: Mengjie Cheng, Elie Ofek and Hema Yoganarasimhan
We study how media firms can use LLMs to generate news content that aligns with multiple objectives—making content more engaging while maintaining a preferred level of polarization/slant consistent with the firm’s editorial policy. Using news articles from The New York... View Details
Keywords: Large Language Models; Content Creation; Media; Polarization; Generative Ai; Direct Preference Optimization; AI and Machine Learning; News; Perspective; Digital Marketing; Policy; Media and Broadcasting Industry
Cheng, Mengjie, Elie Ofek, and Hema Yoganarasimhan. "Balancing Engagement and Polarization: Multi-Objective Alignment of News Content Using LLMs." Harvard Business School Working Paper, No. 25-051, April 2025.
- Teaching Interest
Transforming Customer Experiences - Executive Education
By: Ryan W. Buell
In today's fast-growing service sector, a new set of frameworks are required to build a robust and competitive service business. Transforming Customer Experiences draws upon the latest research and insights to equip senior managers with a new toolkit for leading... View Details
- February 2015 (Revised June 2016)
- Case
AltSchool: School Reimagined
By: John J-H Kim, Kyla Wilkes and Christine S. An
Max Ventilla and his team launches in 2013 AltSchool, a new network of tech-savvy independent K-8 "micro-schools." AltSchool is born out of Ventilla's frustration with the education options available for his young daughter. During his search, Ventilla comes to the... View Details
Keywords: Education Technology; School Models; Product Development; Entrepreneurship; Talent Development And Retention; Social Impact Investment; Information Technology; Business Model; Education; Business Startups; Customization and Personalization; Growth and Development Strategy; Education Industry; United States
Kim, John J-H, Kyla Wilkes, and Christine S. An. "AltSchool: School Reimagined." Harvard Business School Case 315-054, February 2015. (Revised June 2016.)