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: (2,829) Arrow Down
Filter Results: (2,829) Arrow Down Arrow Up

Show Results For

  • All HBS Web  (2,829)
    • People  (14)
    • News  (647)
    • Research  (1,560)
    • Events  (19)
    • Multimedia  (9)
  • Faculty Publications  (830)

Show Results For

  • All HBS Web  (2,829)
    • People  (14)
    • News  (647)
    • Research  (1,560)
    • Events  (19)
    • Multimedia  (9)
  • Faculty Publications  (830)
← Page 74 of 2,829 Results →
  • 06 May 2002
  • Research & Ideas

A Toolkit for Customer Innovation

can easily tweak that parameter on the profile and have the machine immediately produce another sample. It is important to note that outsourcing product development to customers does not eliminate learning... View Details
Keywords: by Stefan Thomke & Eric Von Hippel
  • February 6, 2024
  • Article

Find the AI Approach That Fits the Problem You’re Trying to Solve

By: George Westerman, Sam Ransbotham and Chiara Farronato
AI moves quickly, but organizations change much more slowly. What works in a lab may be wrong for your company right now. If you know the right questions to ask, you can make better decisions, regardless of how fast technology changes. You can work with your technical... View Details
Keywords: Technology Adoption; AI and Machine Learning; Organizational Change and Adaptation; Technological Innovation; Analytics and Data Science
Citation
Find at Harvard
Read Now
Related
Westerman, George, Sam Ransbotham, and Chiara Farronato. "Find the AI Approach That Fits the Problem You’re Trying to Solve." Harvard Business Review Digital Articles (February 6, 2024).
  • 2021
  • Chapter

Building Small Business Utopia: How Artificial Intelligence and Big Data Can Increase Small Business Success

By: Karen G. Mills and Annie Dang
Small business lending has remained unchanged for decades, laden with frictions and barriers that prevent many small businesses from accessing the capital they need to succeed. Financial technology, or “fintech,” promises to change this trajectory. In 2010, new fintech... View Details
Keywords: Big Data; Fintech; Artificial Intelligence; Small Business; Financing and Loans; Capital; Success; AI and Machine Learning; Analytics and Data Science
Citation
Purchase
Related
Mills, Karen G., and Annie Dang. "Building Small Business Utopia: How Artificial Intelligence and Big Data Can Increase Small Business Success." In Big Data in Small Business, edited by Carsten Lund Pedersen, Adam Lindgreen, Thomas Ritter, and Torsten Ringberg. Edward Elgar Publishing, 2021.
  • August 2024 (Revised March 2025)
  • Case

DBS' AI Journey

By: Feng Zhu, Harold Zhu and Adina Wong
Headquartered in Singapore, DBS Bank, one of Asia's leading financial services groups, embarked on a multi-year digital transformation under CEO Piyush Gupta in 2014. It was then that DBS also began experimenting with AI to drive value for the business and customers.... View Details
Keywords: Corporate Governance; AI and Machine Learning; Digital Transformation; Risk Management; Value Creation; Banking Industry; Financial Services Industry; Asia; Singapore
Citation
Educators
Purchase
Related
Zhu, Feng, Harold Zhu, and Adina Wong. "DBS' AI Journey." Harvard Business School Case 625-053, August 2024. (Revised March 2025.)
  • 2024
  • Working Paper

Human-Computer Interactions in Demand Forecasting and Labor Scheduling Decisions

By: Caleb Kwon, Ananth Raman and Jorge Tamayo
We investigate whether corporate officers should grant managers discretion to override AI-driven demand forecasts and labor scheduling tools. Analyzing five years of administrative data from a large grocery retailer using such an AI tool, encompassing over 500 stores,... View Details
Keywords: AI and Machine Learning; Forecasting and Prediction; Working Conditions; Performance Productivity
Citation
Read Now
Related
Kwon, Caleb, Ananth Raman, and Jorge Tamayo. "Human-Computer Interactions in Demand Forecasting and Labor Scheduling Decisions." Working Paper, April 2024.
  • 06 Aug 2018
  • Research & Ideas

Supersmart Manufacturing Tools are Lowering Prices on TVs, Bulbs, and Solar Panels

apprentice? Probably, but it will take time and practice to learn all the tricks and perfect the art, making a lot of mistakes along the way. Yet there are machines that do produce all kinds of glass objects... View Details
Keywords: by Sean Silverthorne; Manufacturing; Electronics
  • October 2023 (Revised January 2025)
  • Case

Sydney Loves Kevin

By: Ryan W. Buell and Himabindu Lakkaraju
Kevin Roose was a columnist and podcast host for the New York Times, who focused on technology and its effects on society. When Microsoft launched the latest version of its search engine Bing in February 2023, the company invited Roose to its Redmond campus to... View Details
Keywords: Newspapers; AI and Machine Learning; Technology Adoption; Technological Innovation; Perspective; Media and Broadcasting Industry; Technology Industry
Citation
Educators
Related
Buell, Ryan W., and Himabindu Lakkaraju. "Sydney Loves Kevin." Harvard Business School Case 624-039, October 2023. (Revised January 2025.)
  • 20 Mar 2017
  • Book

Why Companies Are Placing Users at the Core of Their Innovation Strategies

on what the company wants to achieve in their business model. Machine learning is one of the new core technologies that allow for data science. Many companies are relying on it for their advances. Google,... View Details
Keywords: by Dina Gerdeman
  • March 2022
  • Article

Winner Takes All? Tech Clusters, Population Centers, and the Spatial Transformation of U.S. Invention

By: Brad Chattergoon and William R. Kerr
U.S. invention has become increasingly concentrated around major tech centers since the 1970s, with implications for how much cities across the country share in concomitant local benefits. Is invention becoming a winner-takes-all race? We explore the rising spatial... View Details
Keywords: Clusters; Invention; Agglomeration; Artificial Intelligence; Innovation and Invention; Patents; Applications and Software; Industry Clusters; AI and Machine Learning
Citation
Find at Harvard
Read Now
Related
Chattergoon, Brad, and William R. Kerr. "Winner Takes All? Tech Clusters, Population Centers, and the Spatial Transformation of U.S. Invention." Art. 104418. Research Policy 51, no. 2 (March 2022).
  • 2025
  • Working Paper

The Cybernetic Teammate: A Field Experiment on Generative AI Reshaping Teamwork and Expertise

By: Fabrizio Dell'Acqua, Charles Ayoubi, Hila Lifshitz, Raffaella Sadun, Ethan Mollick, Lilach Mollick, Yi Han, Jeff Goldman, Hari Nair, Stew Taub and Karim R. Lakhani
We examine how artificial intelligence transforms the core pillars of collaboration— performance, expertise sharing, and social engagement—through a pre-registered field experiment with 776 professionals at Procter & Gamble, a global consumer packaged goods company.... View Details
Keywords: Artificial Intelligence; Teamwork; Human-machine Interaction; Productivity; Skills; Innovation; Field Experiment; AI and Machine Learning; Groups and Teams; Competency and Skills; Performance Productivity; Collaborative Innovation and Invention; Product Development
Citation
SSRN
Related
Dell'Acqua, Fabrizio, Charles Ayoubi, Hila Lifshitz, Raffaella Sadun, Ethan Mollick, Lilach Mollick, Yi Han, Jeff Goldman, Hari Nair, Stew Taub, and Karim R. Lakhani. "The Cybernetic Teammate: A Field Experiment on Generative AI Reshaping Teamwork and Expertise." Harvard Business School Working Paper, No. 25-043, March 2025.
  • 01 Oct 2000
  • News

After the Revolution: Putting the Internet in Perspective

Microsoft and Cisco, Nolan said the mature business model of a hierarchical organizational structure with a "make-and-sell" strategy can't be adapted to the virtual, information-enabled world of dot-coms. There, the real-time speed,... View Details
Keywords: Margie Kelley
  • June 2024 (Revised September 2024)
  • Case

Driving Scale with Otto

By: Rebecca Karp, David Allen and Annelena Lobb
This case asks how startup founders make scaling decisions in light of their priorities for their business and for themselves. Otto was a technology company that applied artificial intelligence technology to sales. It deployed natural language processing to find sales... View Details
Keywords: Artificial Intelligence; Natural Language Processing; B2B; B2B Innovation; Scaling; Scaling Tech Ventures; Business Startups; AI and Machine Learning; Finance; Sales; Business Strategy; Growth and Development Strategy; Entrepreneurship; Information Technology Industry; United States; Cambridge; New York (city, NY); Spain
Citation
Educators
Purchase
Related
Karp, Rebecca, David Allen, and Annelena Lobb. "Driving Scale with Otto." Harvard Business School Case 724-407, June 2024. (Revised September 2024.)
  • June 2020
  • Article

Real-time Data from Mobile Platforms to Evaluate Sustainable Transportation Infrastructure

By: Omar Isaac Asensio, Kevin Alvarez, Arielle Dror, Emerson Wenzel, Catharina Hollauer and Sooji Ha
By displacing gasoline and diesel fuels, electric cars and fleets reduce emissions from the transportation sector, thus offering important public health benefits. However, public confidence in the reliability of charging infrastructure remains a fundamental barrier to... View Details
Keywords: Environmental Sustainability; Transportation; Infrastructure; Behavior; AI and Machine Learning; Demand and Consumers
Citation
Find at Harvard
Purchase
Related
Asensio, Omar Isaac, Kevin Alvarez, Arielle Dror, Emerson Wenzel, Catharina Hollauer, and Sooji Ha. "Real-time Data from Mobile Platforms to Evaluate Sustainable Transportation Infrastructure." Nature Sustainability 3, no. 6 (June 2020): 463–471.
  • 01 Sep 2020
  • News

Alumni and Faculty Books for September 2020

this growth is inevitable as the divide between man and machine blurs. Hot Stocks: Investing for Impact and Profit in a Warming World by James Ellman (MBA 1994) Rowman & Littlefield The world is warming, our portfolios will have to adapt,... View Details
  • 01 Jun 2018
  • News

Floor It

they have. The accelerator brings together research foundations with relevant datasets and analytics companies to leverage the latest in artificial intelligence and machine learning, with the ultimate goal of identifying View Details
Keywords: Julia Hanna; illustration by Mengxin Li
  • Web

HBS - Financials | From the Chief Financial Officer

immeasurable value of the in-person, on-campus learning experience. The HBS Economic Model The self-sustaining nature of the HBS economic model is unique among Harvard... View Details
  • September 2023
  • Case

Ada: Cultivating Investors

By: Reza Satchu and Patrick Sanguineti
Mike Murchison, co-founder and CEO of Ada, has an enviable dilemma. Launched in 2016 by Murchison and his co-founder David Hariri, Ada is an AI-native company that aims to revolutionize how businesses approach customer service. The company has already attracted a buzz,... View Details
Keywords: Founder; Fundraising; Business Startups; Decisions; Entrepreneurship; Venture Capital; AI and Machine Learning; Technology Industry
Citation
Educators
Purchase
Related
Satchu, Reza, and Patrick Sanguineti. "Ada: Cultivating Investors." Harvard Business School Case 824-090, September 2023.
  • 06 Dec 2021
  • News

HBS Curricula Explore the Complexities of Innovation

degrees in mechanical engineering and economics at Yale and then worked in tech investments at Morgan Stanley and as a project manager at Microsoft. But what Hopkins hoped to learn from the course taught by Shane Greenstein, the Martin... View Details
Keywords: Jennifer Gillespie
  • February 2022 (Revised November 2022)
  • Case

Nuritas

By: Mitchell Weiss, Satish Tadikonda, Vincent Dessain and Emer Moloney
Nora Khaldi had built a technology “to unlock the power of nature” in the service of extending human lifespan and improving health, and now in April 2020 was debating telling her Board of Directors she wanted to put on ice some of her discoveries. Nuritas, the company... View Details
Keywords: Cash Burn; Cash Flow Analysis; Pharmaceutical Companies; Founder; Artificial Intelligence; AI; Entrepreneurship; Health Testing and Trials; Health Care and Treatment; Decision Making; Market Entry and Exit; AI and Machine Learning; Pharmaceutical Industry
Citation
Educators
Purchase
Related
Weiss, Mitchell, Satish Tadikonda, Vincent Dessain, and Emer Moloney. "Nuritas." Harvard Business School Case 822-080, February 2022. (Revised November 2022.)
  • July 2024 (Revised January 2025)
  • Case

Dynamic Pricing at Wendy's: Where's the Beef?

By: Elie Ofek, Alicia Dadlani and Martha Hostetter
In early 2024, Wendy’s new CEO announced on an earnings call that the company would install digital menus in its US locations so it could begin testing dynamic pricing—changing prices up or down in response to shifts in supply and demand – as well as allow engaging in... View Details
Keywords: Dynamic Pricing; Marketing Strategy; Price; Technology Adoption; Consumer Behavior; AI and Machine Learning; Customer Focus and Relationships; Policy; Food and Beverage Industry
Citation
Educators
Purchase
Related
Ofek, Elie, Alicia Dadlani, and Martha Hostetter. "Dynamic Pricing at Wendy's: Where's the Beef?" Harvard Business School Case 525-010, July 2024. (Revised January 2025.)
  • ←
  • 74
  • 75
  • …
  • 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.