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Publications

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  • 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 73 of 2,829 Results →
  • Forthcoming
  • Article

Human-Algorithm Collaboration with Private Information: Naïve Advice Weighting Behavior and Mitigation

By: Maya Balakrishnan, Kris Ferreira and Jordan Tong
Even if algorithms make better predictions than humans on average, humans may sometimes have private information which an algorithm does not have access to that can improve performance. How can we help humans effectively use and adjust recommendations made by... View Details
Keywords: AI and Machine Learning; Analytics and Data Science; Forecasting and Prediction; Digital Marketing
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Balakrishnan, Maya, Kris Ferreira, and Jordan Tong. "Human-Algorithm Collaboration with Private Information: Naïve Advice Weighting Behavior and Mitigation." Management Science (forthcoming).
  • June 2017
  • Teaching Note

IBM Transforming, 2012–2016: Ginni Rometty Steers Watson

By: Rosabeth Moss Kanter and Jonathan Cohen
Ginni Rometty, who became IBM CEO in 2012, led efforts to transform the company around cognitive computing and the AI platform Watson. This Teaching Note helps instructors understand and teach the Harvard Business School case “IBM Transforming, 2012–2016: Ginni Rometty... View Details
Keywords: Digital; Technological Change; Artificial Intelligence; Data; IBM; Watson; Internet Of Things; Innovation and Invention; Management; Sales; Information Technology; Technological Innovation; Transformation; AI and Machine Learning
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Kanter, Rosabeth Moss, and Jonathan Cohen. "IBM Transforming, 2012–2016: Ginni Rometty Steers Watson." Harvard Business School Teaching Note 317-126, June 2017.
  • January 2025
  • Teaching Note

AGENTS.inc: Pathways to Growth at an AI Startup

By: Frank Nagle and Susan Pinckney
Teaching Note for HBS Case No. 724-444. In 2024, AI agent startup company AGENTS.inc faced multiple strategic decisions that could shape the company’s ability to grow into the future AI agent market leader. View Details
Keywords: Business Startups; AI and Machine Learning; Growth and Development Strategy; Open Source Distribution; Entrepreneurial Finance; Competition; Computer Industry; Technology Industry; Europe; Germany
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Nagle, Frank, and Susan Pinckney. "AGENTS.inc: Pathways to Growth at an AI Startup." Harvard Business School Teaching Note 725-353, January 2025.
  • Working Paper

AI in Disguise—How AI-generated Ads' Visual Cues Shape Consumer Perception and Performance

By: Yannick Exner, Jochen Hartmann, Oded Netzer and Shunyuan Zhang
Generative AI’s recent advancements in creating content have offered vast potential to transform the advertising industry. This research investigates the impact of generative AI-enabled visual ad creation on real-world advertising effectiveness. For this purpose, we... View Details
Keywords: Digital Marketing; AI and Machine Learning; Advertising; Consumer Behavior; Advertising Industry
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Exner, Yannick, Jochen Hartmann, Oded Netzer, and Shunyuan Zhang. "AI in Disguise—How AI-generated Ads' Visual Cues Shape Consumer Perception and Performance." SSRN Working Paper Series, No. 5096969.
  • 08 May 2015
  • News

Ubiquitous digital connectivity is now essential to competitiveness

rethink their business models to identify new opportunities for creating and capturing value. The fundamental properties of digital technology (exact replication infinite times at zero marginal costs), along with cloud computing, have... View Details
  • 16 Oct 2018
  • First Look

New Research and Ideas, October 16, 2018

Methods By: Choudhury, Prithwiraj, Ryan Allen, and Michael G. Endres Abstract—We describe how to employ machine learning (ML) methods in theory development. Compared to traditional causal inference methods,... View Details
Keywords: Dina Gerdeman
  • 24 Nov 2008
  • Research & Ideas

Harvard Business School Discusses Future of the MBA

disciplines, explains Joel Podolny, dean of the Yale School of Management and a participant in the March colloquium. (He previously was a professor at HBS.) "The strict disciplinary model of management education arose at a time of... View Details
Keywords: by Roger Thompson & HBS Bulletin; Education
  • 01 Mar 2018
  • What Do You Think?

Two Decades Later, is the 'New Economy' Finally Here?

potential for ecommerce growth in the country which relies (on) a lot of machine learning and AI the growth rate through the new economy prospects is just starting to take off here in Bangladesh.” Jacob... View Details
Keywords: by James Heskett
  • October 2024 (Revised April 2025)
  • Case

Nvidia

By: Andy Wu and Matt Higgins
This case study examines Nvidia's strategic pivot from gaming GPUs to becoming a leader in general-purpose computing and AI. It explores how Nvidia leveraged its GPU architecture to dominate the growing fields of data center acceleration and AI training, outpacing... View Details
Keywords: Strategy; Technological Innovation; AI and Machine Learning; Product Development; Manufacturing Industry; Technology Industry; Electronics Industry; United States; China; Taiwan
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Wu, Andy, and Matt Higgins. "Nvidia." Harvard Business School Case 725-383, October 2024. (Revised April 2025.)
  • 2023
  • Working Paper

Insufficiently Justified Disparate Impact: A New Criterion for Subgroup Fairness

By: Neil Menghani, Edward McFowland III and Daniel B. Neill
In this paper, we develop a new criterion, "insufficiently justified disparate impact" (IJDI), for assessing whether recommendations (binarized predictions) made by an algorithmic decision support tool are fair. Our novel, utility-based IJDI criterion evaluates false... View Details
Keywords: AI and Machine Learning; Forecasting and Prediction; Prejudice and Bias
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Menghani, Neil, Edward McFowland III, and Daniel B. Neill. "Insufficiently Justified Disparate Impact: A New Criterion for Subgroup Fairness." Working Paper, June 2023.
  • 2024
  • Working Paper

Lessons from an App Update at Replika AI: Identity Discontinuity in Human-AI Relationships

By: Julian De Freitas, Noah Castelo, Ahmet Uğuralp and Zeliha Uğuralp
Can consumers form deep emotional bonds with AI and be vested in AI identities over time? We leverage a natural app-update event at Replika AI, a popular US-based AI companion, to shed light on these questions. We find that customers feel closer to their AI companion... View Details
Keywords: AI and Machine Learning; Welfare; Loss; Well-being; Identity; Perception; Relationships
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De Freitas, Julian, Noah Castelo, Ahmet Uğuralp, and Zeliha Uğuralp. "Lessons from an App Update at Replika AI: Identity Discontinuity in Human-AI Relationships." Harvard Business School Working Paper, No. 25-018, October 2024. (Revised December 2024.)
  • 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
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Buell, Ryan W., and Himabindu Lakkaraju. "Sydney Loves Kevin." Harvard Business School Case 624-039, October 2023. (Revised January 2025.)
  • 01 Sep 2020
  • News

Road Work

world where business content and financial products and services will be integrated seamlessly into the member experience—all driven by unique user data and machine learning models.”It’s a development that... View Details
Keywords: banking; LatinX; small businesses; COVID-19; Finance
  • May–June 2024
  • Article

Should Your Brand Hire a Virtual Influencer?

By: Serim Hwang, Shunyuan Zhang, Xiao Liu and Kannan Srinivasan
Followers respond more favorably to sponsored posts by virtual influencers versus those by humans, costs are lower, and creating an influencer from scratch allows marketers to introduce more diversity. View Details
Keywords: Social Media; AI and Machine Learning; Brands and Branding; Power and Influence
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Hwang, Serim, Shunyuan Zhang, Xiao Liu, and Kannan Srinivasan. "Should Your Brand Hire a Virtual Influencer?" Harvard Business Review 102, no. 3 (May–June 2024): 56–60.
  • 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
  • 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
  • 30 Nov 2021
  • Interview

TikTok: Super App or Supernova?

By: Jeffrey F. Rayport and Brian Kenny
TikTok’s parent company, ByteDance, was launched in 2012 around the simple idea of helping users entertain themselves on their smartphones while on the Beijing Subway. By May 2020, TikTok operated in 155 countries and had roughly 1 billion monthly active users, placing... View Details
Keywords: Apps; Artificial Intelligence; Business Startups; Mobile and Wireless Technology; Business Model; Digital Platforms; Growth and Development Strategy; AI and Machine Learning; Social Media
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"TikTok: Super App or Supernova?" Cold Call (podcast), Harvard Business Review Group, November 30, 2021. (Interviewed by Brian Kenny.)
  • September 2024 (Revised January 2025)
  • Exercise

Building an AI First Snack Company: A Hands-on Generative AI Exercise

By: Iavor I. Bojinov
Although the term 'Generative AI' (GenAI) is widely recognized, its practical application in daily workflows has yet to be understood. This exercise introduces students to GenAI tools, demonstrating how they can be seamlessly integrated into professional work practices... View Details
Keywords: AI and Machine Learning; Technology Adoption; Marketing Strategy; Product Launch; Brands and Branding
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Bojinov, Iavor I. "Building an AI First Snack Company: A Hands-on Generative AI Exercise." Harvard Business School Exercise 625-052, September 2024. (Revised January 2025.)
  • 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
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Weiss, Mitchell, Satish Tadikonda, Vincent Dessain, and Emer Moloney. "Nuritas." Harvard Business School Case 822-080, February 2022. (Revised November 2022.)
  • Student-Profile

Mengjie "Magie" Cheng

Magie Cheng (she/her) worked for a social network company in their machine learning group and spent much of her time analyzing user behavior for a wide range of social networking applications. She became... View Details
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