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Publications

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  • All HBS Web  (1,468)
    • News  (546)
    • Research  (613)
    • Events  (29)
    • Multimedia  (82)
  • Faculty Publications  (581)

Show Results For

  • All HBS Web  (1,468)
    • News  (546)
    • Research  (613)
    • Events  (29)
    • Multimedia  (82)
  • Faculty Publications  (581)
← Page 27 of 1,468 Results →
  • 10 May 2024
  • News

Grammy Nominee Bas Said AI Still Can’t Make Music That Evokes Feeling: ‘Ai Never Been to the Club.'

  • 09 May 2024
  • News

JP Morgan's Mary Callahan Erdoes says 'curiosity' will be the most important human trait in the age of AI

  • Web

SEI25 Series: Gayle Lemmon (MBA 2006), Best-Selling Author and Partner/CMO, Shield AI | Social Enterprise | Harvard Business School

  • June 2025
  • Supplement

Transforming a Titan (B)

By: George Serafeim and Lena Duchene
After a global search the board appoints Marcel Cobuz—ex-LafargeHolcim executive with deep innovation experience—as TITAN’s first non-family CEO. Cobuz co-creates a four-pillar roadmap: sharpen the core cement portfolio, accelerate low-carbon products and aggregates,... View Details
Keywords: AI; Artificial Intelligence; CEO Succession; CEO Role; Family Business
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Serafeim, George, and Lena Duchene. "Transforming a Titan (B)." Harvard Business School Supplement 125-122, June 2025.
  • 10 Mar 2021
  • News

Elevator Pitch: Game Time

Video Embed Animation by Drue Wagner and Troubadour Image + Sound Concept: Tilt Five is an entertainment system that uses augmented reality (AR) glasses, a game board, and a wand controller to engage players in tabletop and video games in 3D holographic environments.... View Details
Keywords: AI; virtual reality; gaming; technology; entrepreneurship; startups; Amusement, Gambling, and Recreation Industries; Arts, Entertainment
  • 28 Mar 2023
  • News

ChatGPT, AI Platforms Excite but Also Concern Experts: “We Need to ... Learn How to Work with These Tools'

  • 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
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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.
  • 08 Sep 2021
  • News

AI Tools That Companies Use to Scan Resumes Are Stopping 27 Million People Finding New Jobs, a Harvard Report Says

  • October 2021 (Revised June 2022)
  • Case

PittaRosso: Artificial Intelligence-Driven Pricing and Promotion

By: Ayelet Israeli
PittaRosso, a traditional Italian shoe retailer, is implementing an AI system to provide pricing and promotion recommendations. The system allows them to implement changes that would affect both the top of funnel and bottom of funnel activities for the company: once... View Details
Keywords: Artificial Intelligence; Pricing; Pricing Algorithm; Pricing Decisions; Pricing Strategy; Pricing Structure; Promotion; Promotions; Online Marketing; Data-driven Decision-making; Data-driven Management; Retail; Retail Analytics; AI; Price; Advertising Campaigns; Analytics and Data Science; Analysis; Digital Marketing; Budgets and Budgeting; Marketing Strategy; Marketing; Transformation; Decision Making; AI and Machine Learning; Retail Industry; Italy
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Israeli, Ayelet. "PittaRosso: Artificial Intelligence-Driven Pricing and Promotion." Harvard Business School Case 522-046, October 2021. (Revised June 2022.)
  • 20 May 2025
  • News

AI in the Workplace Is Nearly Three Times More Likely to Take a Woman’s Job as a Man’s, Un Report Finds

  • 09 Feb 2022
  • News

Why Do Startups Fail And Can We Create An AI Formula To Prevent Failure? An Interview With Harvard Business School Professor Tom Eisenmann

  • 2021
  • Working Paper

Time and the Value of Data

By: Ehsan Valavi, Joel Hestness, Newsha Ardalani and Marco Iansiti

Managers often believe that collecting more data will continually improve the accuracy of their machine learning models. However, we argue in this paper that when data lose relevance over time, it may be optimal to collect a limited amount of recent data instead of... View Details

Keywords: Economics Of AI; Machine Learning; Non-stationarity; Perishability; Value Depreciation; Analytics and Data Science; Value
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Valavi, Ehsan, Joel Hestness, Newsha Ardalani, and Marco Iansiti. "Time and the Value of Data." Harvard Business School Working Paper, No. 21-016, August 2020. (Revised November 2021.)
  • January 2021 (Revised March 2021)
  • Case

THE YES: Reimagining the Future of E-Commerce with Artificial Intelligence (AI)

By: Jill Avery, Ayelet Israeli and Emma von Maur
THE YES, a multi-brand shopping app launched in May 2020 offered a new type of buying experience for women’s fashion, driven by a sophisticated algorithm that used data science and machine learning to create and deliver a personalized store for every shopper, based on... View Details
Keywords: Data; Data Analytics; Artificial Intelligence; AI; AI Algorithms; AI Creativity; Fashion; Retail; Retail Analytics; E-Commerce Strategy; Platform; Platforms; Big Data; Preference Elicitation; Preference Prediction; Predictive Analytics; App Development; "Marketing Analytics"; Advertising; Mobile App; Mobile Marketing; Apparel; Online Advertising; Referral Rewards; Referrals; Female Ceo; Female Entrepreneur; Female Protagonist; Analytics and Data Science; Analysis; Creativity; Marketing Strategy; Brands and Branding; Consumer Behavior; Demand and Consumers; Forecasting and Prediction; Marketing Channels; Digital Marketing; Internet and the Web; Mobile and Wireless Technology; AI and Machine Learning; E-commerce; Digital Platforms; Fashion Industry; Retail Industry; Apparel and Accessories Industry; Consumer Products Industry; United States
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Avery, Jill, Ayelet Israeli, and Emma von Maur. "THE YES: Reimagining the Future of E-Commerce with Artificial Intelligence (AI)." Harvard Business School Case 521-070, January 2021. (Revised March 2021.)
  • February 2022 (Revised February 2023)
  • Case

TikTok in 2020: Super App or Supernova? (Abridged)

By: Jeffrey F. Rayport, Dan Maher and Dan O'Brien
TikTok’s parent company, ByteDance, was launched in 2012 around a simple idea—helping users entertain themselves on their smartphones while on the Beijing Subway. In less than a decade, it had become one of the world’s most valuable private companies, with investors... View Details
Keywords: Digital Platform; Artificial Intelligence; AI; Mobile App; Mobile App Industry; Mobile and Wireless Technology; Market Entry and Exit; Brands and Branding; Growth and Development Strategy; China
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Rayport, Jeffrey F., Dan Maher, and Dan O'Brien. "TikTok in 2020: Super App or Supernova? (Abridged)." Harvard Business School Case 822-112, February 2022. (Revised February 2023.)
  • 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.)
  • September 22, 2020
  • Article

Amazon's AI Is Learning New Rules to Win for the Holidays: With Stressed Supply Chains and Changing Consumer Behaviors, the Holidays Are Likely to Accelerate Amazon's Advantage

By: Jeffrey F. Rayport and Niall Murphy
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Rayport, Jeffrey F., and Niall Murphy. "Amazon's AI Is Learning New Rules to Win for the Holidays: With Stressed Supply Chains and Changing Consumer Behaviors, the Holidays Are Likely to Accelerate Amazon's Advantage." Forbes.com (September 22, 2020).
  • 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
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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.
  • May 2021 (Revised February 2024)
  • Teaching Note

THE YES: Reimagining the Future of E-Commerce with Artificial Intelligence (AI)

By: Ayelet Israeli and Jill Avery
THE YES, a multi-brand shopping app launched in May 2020 offered a new type of buying experience for women’s fashion, driven by a sophisticated algorithm that used data science and machine learning to create and deliver a personalized store for every shopper, based on... View Details
Keywords: Data; Data Analytics; Artificial Intelligence; AI; AI Algorithms; AI Creativity; Fashion; Retail; Retail Analytics; E-Commerce Strategy; Platform; Platforms; Big Data; Preference Elicitation; Predictive Analytics; App Development; "Marketing Analytics"; Advertising; Mobile App; Mobile Marketing; Apparel; Online Advertising; Referral Rewards; Referrals; Female Ceo; Female Entrepreneur; Female Protagonist; Analytics and Data Science; Analysis; Creativity; Marketing Strategy; Brands and Branding; Consumer Behavior; Demand and Consumers; Forecasting and Prediction; Marketing Channels; Digital Marketing; Internet and the Web; Mobile and Wireless Technology; AI and Machine Learning; E-commerce; Digital Platforms; Fashion Industry; Retail Industry; Apparel and Accessories Industry; Consumer Products Industry; United States
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Israeli, Ayelet, and Jill Avery. "THE YES: Reimagining the Future of E-Commerce with Artificial Intelligence (AI)." Harvard Business School Teaching Note 521-097, May 2021. (Revised February 2024.)
  • July 2019 (Revised November 2019)
  • Case

Osaro: Picking the Best Path

By: William R. Kerr, James Palano and Bastiane Huang
The founder of Osaro saw the potential of deep reinforcement learning to allow robots to be applied to new applications. Osaro targeted warehousing, already a dynamic industry for robotics and automation, for its initial product—a system which would allow robotic arms... View Details
Keywords: Artificial Intelligence; Machine Learning; Robotics; Robots; Ecommerce; Fulfillment; Warehousing; AI; Startup; Technology Commercialization; Business Startups; Entrepreneurship; Logistics; Order Taking and Fulfillment; Information Technology; Commercialization; Learning; Complexity; Competition; E-commerce
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Kerr, William R., James Palano, and Bastiane Huang. "Osaro: Picking the Best Path." Harvard Business School Case 820-012, July 2019. (Revised November 2019.)
  • 2021
  • Working Paper

Time Dependency, Data Flow, and Competitive Advantage

By: Ehsan Valavi, Joel Hestness, Marco Iansiti, Newsha Ardalani, Feng Zhu and Karim R. Lakhani
Data is fundamental to machine learning-based products and services and is considered strategic due to its externalities for businesses, governments, non-profits, and more generally for society. It is renowned that the value of organizations (businesses, government... View Details
Keywords: Economics Of AI; Value Of Data; Perishability; Time Dependency; Flow Of Data; Data Strategy; Analytics and Data Science; Value; Strategy; Competitive Advantage
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Valavi, Ehsan, Joel Hestness, Marco Iansiti, Newsha Ardalani, Feng Zhu, and Karim R. Lakhani. "Time Dependency, Data Flow, and Competitive Advantage." Harvard Business School Working Paper, No. 21-099, March 2021.
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