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  • All HBS Web  (1,483)
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    • Events  (19)
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← Page 13 of 1,483 Results →
  • 2021
  • Article

To Thine Own Self Be True? Incentive Problems in Personalized Law

By: Jordan M. Barry, John William Hatfield and Scott Duke Kominers
Recent years have seen an explosion of scholarship on “personalized law.” Commentators foresee a world in which regulators armed with big data and machine learning techniques determine the optimal legal rule for every regulated party, then instantaneously disseminate... View Details
Keywords: Personalized Law; Regulation; Regulatory Avoidance; Regulatory Arbitrage; Law And Economics; Law And Technology; Law And Artificial Intelligence; Futurism; Moral Hazard; Elicitation; Signaling; Privacy; Law; Governing Rules, Regulations, and Reforms; Information Technology; AI and Machine Learning
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Barry, Jordan M., John William Hatfield, and Scott Duke Kominers. "To Thine Own Self Be True? Incentive Problems in Personalized Law." Art. 2. William & Mary Law Review 62, no. 3 (2021).
  • 29 Aug 2020
  • News

How technology enabled women’s rights, and changed the institution of marriage

  • 2022
  • Conference Presentation

Towards the Unification and Robustness of Post hoc Explanation Methods

By: Sushant Agarwal, Shahin Jabbari, Chirag Agarwal, Sohini Upadhyay, Steven Wu and Himabindu Lakkaraju
As machine learning black boxes are increasingly being deployed in critical domains such as healthcare and criminal justice, there has been a growing emphasis on developing techniques for explaining these black boxes in a post hoc manner. In this work, we analyze two... View Details
Keywords: AI and Machine Learning
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Agarwal, Sushant, Shahin Jabbari, Chirag Agarwal, Sohini Upadhyay, Steven Wu, and Himabindu Lakkaraju. "Towards the Unification and Robustness of Post hoc Explanation Methods." Paper presented at the 3rd Symposium on Foundations of Responsible Computing (FORC), 2022.
  • 2023
  • Chapter

Marketing Through the Machine’s Eyes: Image Analytics and Interpretability

By: Shunyuan Zhang, Flora Feng and Kannan Srinivasan
he growth of social media and the sharing economy is generating abundant unstructured image and video data. Computer vision techniques can derive rich insights from unstructured data and can inform recommendations for increasing profits and consumer utility—if only the... View Details
Keywords: Transparency; Marketing Research; Algorithmic Bias; AI and Machine Learning; Marketing
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Zhang, Shunyuan, Flora Feng, and Kannan Srinivasan. "Marketing Through the Machine’s Eyes: Image Analytics and Interpretability." Chap. 8 in Artificial Intelligence in Marketing. 20, edited by Naresh K. Malhotra, K. Sudhir, and Olivier Toubia, 217–238. Review of Marketing Research. Emerald Publishing Limited, 2023.
  • 2020
  • Book

Competing in the Age of AI: Strategy and Leadership When Algorithms and Networks Run the World

By: Marco Iansiti and Karim R. Lakhani
In industry after industry, data, analytics, and AI-driven processes are transforming the nature of work. While we often still treat AI as the domain of a specific skill, business function, or sector, we have entered a new era in which AI is challenging the very... View Details
Keywords: Artificial Intelligence; Technological Innovation; Change; Competition; Strategy; Leadership; Business Processes; Organizational Change and Adaptation; AI and Machine Learning
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Iansiti, Marco, and Karim R. Lakhani. Competing in the Age of AI: Strategy and Leadership When Algorithms and Networks Run the World. Boston: Harvard Business Review Press, 2020.
  • 29 May 2013
  • Blog Post

Reflections and learnings

So, without further ado, the 7* lessons that made this all worthwhile for me: Winning is not easy: It’s easy to look at an industry leader like Sephora and imagine a seamlessly polished machine cranking out... View Details
Keywords: Consumer Products / Retail
  • November 1997
  • Case

Case Corporation

By: Ray A. Goldberg and Tom Clay
A successful turnaround global farm machinery company is attempting to redefine its role in the global food system and develop a strategic plan for the company. View Details
Keywords: Change; Machinery and Machining; Global Strategy; Growth and Development; Strategic Planning; Agriculture and Agribusiness Industry
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Goldberg, Ray A., and Tom Clay. "Case Corporation." Harvard Business School Case 598-046, November 1997.
  • February 2018 (Revised October 2019)
  • Case

HubSpot and Motion AI: Chatbot-Enabled CRM

By: Jill Avery and Thomas Steenburgh
HubSpot, an inbound marketing, sales, and customer relationship management (CRM) software provider, announced that it had acquired Motion AI, a software platform that enabled companies to easily build and deploy chatbots, fueled by artificial intelligence, to interact... View Details
Keywords: CRM; Sales Management; Customer Service; Artificial Intelligence; B2B Vs. B2C; Business Marketing; SaaS; Marketing; Marketing Strategy; Brands and Branding; Customer Focus and Relationships; Sales; Salesforce Management; Technological Innovation; Applications and Software; Customer Relationship Management; AI and Machine Learning; Technology Industry; Service Industry; United States; North America
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Avery, Jill, and Thomas Steenburgh. "HubSpot and Motion AI: Chatbot-Enabled CRM." Harvard Business School Case 518-067, February 2018. (Revised October 2019.)
  • 2024
  • Working Paper

The Cram Method for Efficient Simultaneous Learning and Evaluation

By: Zeyang Jia, Kosuke Imai and Michael Lingzhi Li
We introduce the "cram" method, a general and efficient approach to simultaneous learning and evaluation using a generic machine learning (ML) algorithm. In a single pass of batched data, the proposed method repeatedly trains an ML algorithm and tests its empirical... View Details
Keywords: AI and Machine Learning
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Jia, Zeyang, Kosuke Imai, and Michael Lingzhi Li. "The Cram Method for Efficient Simultaneous Learning and Evaluation." Working Paper, March 2024.
  • June 2024
  • Article

Oral History and Business History in Emerging Markets

By: Geoffrey Jones
This article describes the motivation, structure and use of the Creating Emerging Markets (CEM) oral history-based project at the Harvard Business School. The project consists of lengthy interviews with business leaders from emerging markets. By June 2024 183... View Details
Keywords: Emerging Economies; Oral History; Emerging Markets; Business History; Research
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Jones, Geoffrey. "Oral History and Business History in Emerging Markets." Investigaciones de historia económica 20, no. 2 (June 2024): 1–4.
  • 22 Mar 2023
  • Blog Post

Decarbonization and Sustainable Production: Immersive Field Course in Denmark and the Netherlands

sites ranging from industrial manufacturers of plastic and machines to shipping companies and producers of food, flowers, and other consumables.... View Details
  • 30 Oct 2018
  • Working Paper Summaries

The Value Structure of Technologies, Part 2: Technical and Strategic Bottlenecks as Guides for Action

Keywords: by Carliss Y. Baldwin; Air Transportation; Transportation; Manufacturing
  • 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.
  • 18 Feb 2022
  • News

Behind the Research: Bias in AI with Himabindu Lakkaraju, Edward McFowland III, and Seth Neel

  • 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.)
  • 17 Jul 2023
  • Research & Ideas

Money Isn’t Everything: The Dos and Don’ts of Motivating Employees

that the process is transparent and understood, even if everyone’s individual pay isn’t transparent. Don’t replace all your people with robots In the age of AI and robotics, it’s tempting to slash costs by... View Details
Keywords: by Avery Forman
  • 01 Dec 2022
  • News

December 2022 Alumni and Faculty Books and Podcasts

determined quest. Auth will transport you in his spiritual time machine from Egypt’s Old Kingdom, through Greece and Rome, to medieval Europe; from the age of the Renaissance, through the Ages of Exploration... View Details

    Edward McFowland III

    Edward McFowland III is an Assistant Professor in the Technology and Operations Management Unit at Harvard Business School. He teaches the first-year TOM course in the required curriculum.

    Professor McFowland’s research interests – which lie at the... View Details

    • 26 Feb 2001
    • Research & Ideas

    David, Goliath, and Disruption

    How many of us ever said we wanted to do that?" Schreck asked the room. "I'm sure I didn't wake up one morning saying, 'I just want to write chicken-scratch, slowly, on a Palm.' It's just a horrible behavioral change. But we all do it." Jeffrey Miller,... View Details
    Keywords: by Martha Lagace
    • September 2024
    • Background Note

    Copyright and Fair Use

    By: David B. Yoffie
    The U.S. Copyright Office defines a copyright as “a type of intellectual property that protects original works of authorship as soon as an author fixes the work in a tangible form of expression.” Two core principles of copyright are originality and fixation. A work is... View Details
    Keywords: AI and Machine Learning; Copyright; Lawsuits and Litigation; United States
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    Yoffie, David B. "Copyright and Fair Use." Harvard Business School Background Note 725-394, September 2024.
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