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  • All HBS Web  (2,829)
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Show Results For

  • All HBS Web  (2,829)
    • People  (14)
    • News  (647)
    • Research  (1,560)
    • Events  (19)
    • Multimedia  (9)
  • Faculty Publications  (830)
← Page 23 of 2,829 Results →

    Seth Neel

    Seth Neel is an Assistant Professor housed in the Department of Technology and Operations Management (TOM) at HBS, and a Faculty Affiliate in Computer Science at SEAS. He is Principal Investigator of the Trustworthy AI Lab in Harvard's new View Details
    • 2021
    • Working Paper

    An Empirical Study of Time Allotment and Delays in E-commerce Delivery

    By: M. Balakrishnan, MoonSoo Choi and Natalie Epstein
    Problem definition: We study how having more time allotted to deliver an order affects the speed of the delivery process. Furthermore, we seek to predict orders that are likely to be delayed early in the delivery process so that actions can be taken to avoid delays.... View Details
    Keywords: Logistics; E-commerce; Mathematical Methods; AI and Machine Learning; Performance Productivity
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    Balakrishnan, M., MoonSoo Choi, and Natalie Epstein. "An Empirical Study of Time Allotment and Delays in E-commerce Delivery." Working Paper, December 2021.
    • 30 May 2000
    • Research & Ideas

    Market Makers Bid for Success

    indirect materials, which are primarily downward auctions. Although, there are some market situations where you would use an upward auction just to have people bid on certain kinds of pricing. Basically, we've evolved our business model... View Details
    Keywords: by Staff; Web Services; Technology
    • 17 Dec 2012
    • Research & Ideas

    Teaming in the Twenty-First Century

    progress without a blueprint. The skill set involves interpersonal awareness, skillful inquiry, and an ability to teach others what you know. Teaming is very different from the idea of building a high-performance team to fit a known task. It is dynamic; View Details
    Keywords: by Maggie Starvish
    • 2023
    • Working Paper

    The Optimal Stock Valuation Ratio

    By: Sebastian Hillenbrand and Odhrain McCarthy
    Trailing price ratios, such as the price-dividend and the price-earnings ratio, scale prices by trailing cash flow measures. They theoretically contain expected returns, yet, their performance in predicting stock market returns is poor. This is because of an omitted... View Details
    Keywords: Price; Investment Return; AI and Machine Learning; Valuation; Cash Flow; Forecasting and Prediction
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    Hillenbrand, Sebastian, and Odhrain McCarthy. "The Optimal Stock Valuation Ratio." Working Paper, November 2023.
    • Article

    The Pitfalls of Pricing Algorithms: Be Mindful of How They Can Hurt Your Brand

    By: Marco Bertini and Oded Koenigsberg
    More and more companies are relying on pricing algorithms to maximize profits. The use of artificial intelligence and machine learning enables real-time price adjustments based on supply and demand, competitors’ activities, delivery schedules, and so forth. But... View Details
    Keywords: Algorithmic Pricing; Dynamic Pricing; Price; Change; Information Technology; Brands and Branding; Perception; Consumer Behavior
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    Bertini, Marco, and Oded Koenigsberg. "The Pitfalls of Pricing Algorithms: Be Mindful of How They Can Hurt Your Brand." Harvard Business Review 99, no. 5 (September–October 2021): 74–83.
    • September 2023 (Revised April 2024)
    • Case

    Atomwise: Strategic Opportunities in AI for Pharma

    By: Satish Tadikonda
    Abraham Heifets and his co-founder, Izhar Wallach, had founded Atomwise to develop i) an AI engine to transform drug discovery by creating better medicines faster, and ii) a machine learning-based discovery engine that combined the power of convolutional neural... View Details
    Keywords: Business Model; Business Startups; AI and Machine Learning; Science-Based Business; Technological Innovation; Biotechnology Industry; Pharmaceutical Industry
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    Tadikonda, Satish. "Atomwise: Strategic Opportunities in AI for Pharma." Harvard Business School Case 824-043, September 2023. (Revised April 2024.)
    • 17 Nov 2016
    • News

    Building Affordable Health Care in Paradise

    • 2020
    • Working Paper

    Improving Regulatory Effectiveness Through Better Targeting: Evidence from OSHA

    By: Matthew S. Johnson, David I. Levine and Michael W. Toffel
    We study how a regulator can best target inspections. Our case study is a US Occupational Safety and Health Administration (OSHA) program that randomly allocated some inspections. On average, each inspection averted 2.4 serious injuries (9%) over the next five years.... View Details
    Keywords: Government Administration; Working Conditions; Safety; Quality; Production; Analysis; Resource Allocation; Manufacturing Industry; United States
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    Johnson, Matthew S., David I. Levine, and Michael W. Toffel. "Improving Regulatory Effectiveness Through Better Targeting: Evidence from OSHA." Harvard Business School Working Paper, No. 20-019, August 2019. (Revised February 2020.)
    • October 14, 2019
    • Article

    How Artificial Intelligence Is Changing Health Care Delivery

    By: Samantha F. Sanders, Mats Terwiesch, William J. Gordon and Ariel Dora Stern
    The development of intelligent machines holds great promise for making health care delivery more accurate, efficient, and accessible, but challenges remain for incorporating AI into clinical and administrative settings. View Details
    Keywords: Artificial Intelligence; Health Care and Treatment; Service Delivery; Technological Innovation; AI and Machine Learning
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    Sanders, Samantha F., Mats Terwiesch, William J. Gordon, and Ariel Dora Stern. "How Artificial Intelligence Is Changing Health Care Delivery." NEJM Catalyst (October 17, 2019).

      Julian De Freitas

      Julian De Freitas is an Assistant Professor of Business Administration in the Marketing Unit, and Director of the Ethical Intelligence Lab, at Harvard Business School. He earned his PhD in psychology from Harvard, masters from Oxford, and BA from Yale. He teaches... View Details

      Keywords: advertising; automotive; consumer products; e-commerce industry; insurance industry; marketing industry; nonprofit industry; software; transportation; video games
      • 2017
      • Working Paper

      Self-Employment Dynamics and the Returns to Entrepreneurship

      By: Eleanor W. Dillon and Christopher T. Stanton
      Small business owners and others in self-employment have the option to transition to paid work. If there is initial uncertainty about entrepreneurial earnings, this option increases the expected lifetime value of self-employment relative to pay in a single year. This... View Details
      Keywords: Self-employed; Small Business; Business Earnings; Entrepreneurship; Ownership; Compensation and Benefits
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      Dillon, Eleanor W., and Christopher T. Stanton. "Self-Employment Dynamics and the Returns to Entrepreneurship." Harvard Business School Working Paper, No. 17-022, September 2016. (Revised March 2018.)
      • 2023
      • Other Article

      The Harvard USPTO Patent Dataset: A Large-Scale, Well-Structured, and Multi-Purpose Corpus of Patent Applications

      By: Mirac Suzgun, Luke Melas-Kyriazi, Suproteem K. Sarkar, Scott Duke Kominers and Stuart Shieber
      Innovation is a major driver of economic and social development, and information about many kinds of innovation is embedded in semi-structured data from patents and patent applications. Though the impact and novelty of innovations expressed in patent data are difficult... View Details
      Keywords: USPTO; Natural Language Processing; Classification; Summarization; Patent Novelty; Patent Trolls; Patent Enforceability; Patents; Innovation and Invention; Intellectual Property; AI and Machine Learning; Analytics and Data Science
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      Suzgun, Mirac, Luke Melas-Kyriazi, Suproteem K. Sarkar, Scott Duke Kominers, and Stuart Shieber. "The Harvard USPTO Patent Dataset: A Large-Scale, Well-Structured, and Multi-Purpose Corpus of Patent Applications." Conference on Neural Information Processing Systems (NeurIPS), Datasets and Benchmarks Track 36 (2023).
      • April 2010
      • Article

      Complex Business Models: Managing Strategic Paradoxes Simultaneously

      By: Wendy K. Smith, Andrew Binns and Michael Tushman
      As our world becomes more global, fast paced and hypercompetitive, competitive advantage may increasingly depend on success in managing paradoxical strategies - strategies associated with contradictory, yet integrated tensions. We identify several types of complex... View Details
      Keywords: Business Model; Management; Strategy
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      Smith, Wendy K., Andrew Binns, and Michael Tushman. "Complex Business Models: Managing Strategic Paradoxes Simultaneously." Special Issue on Business Models. Long Range Planning 43, no. 2 (April 2010): 448–461.
      • December 2019 (Revised November 2021)
      • Course Overview Note

      The Entrepreneurial Manager: Spring 2022

      By: Mitchell Weiss and Benjamin Henkes
      This is the course overview note for “The Entrepreneurial Manager,” taught in the first year at Harvard Business School. Students will learn how to be opportunity-driven managers and how to lead under uncertainty. They'll learn how to identify opportunities, how to... View Details
      Keywords: Entrepreneurial Management; Entrepreneurship; Management
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      Weiss, Mitchell, and Benjamin Henkes. "The Entrepreneurial Manager: Spring 2022." Harvard Business School Course Overview Note 820-082, December 2019. (Revised November 2021.)
      • 2021
      • Article

      ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation

      By: Chuang Gan, Jeremy Schwartz, Seth Alter, Damian Mrowca, Martin Schrimpf, James Traer, Julian De Freitas, Jonas Kubilius, Abhishek Bhandwaldar, Nick Haber, Megumi Sano, Kuno Kim, Elias Wang, Michael Lingelbach, Aidan Curtis, Kevin Feigelis, Daniel M. Bear, Dan Gutfreund, David Cox, Antonio Torralba, James J. DiCarlo, Joshua B. Tenenbaum, Josh H. McDermott and Daniel L.K. Yamins
      We introduce ThreeDWorld (TDW), a platform for interactive multi-modal physical simulation. TDW enables simulation of high-fidelity sensory data and physical interactions between mobile agents and objects in rich 3D environments. Unique properties include: real-time... View Details
      Keywords: Artificial Intelligence; Platform; Interactive Physical Simulation; Virtual Environment; Multi-modal; AI and Machine Learning
      Citation
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      Gan, Chuang, Jeremy Schwartz, Seth Alter, Damian Mrowca, Martin Schrimpf, James Traer, Julian De Freitas, Jonas Kubilius, Abhishek Bhandwaldar, Nick Haber, Megumi Sano, Kuno Kim, Elias Wang, Michael Lingelbach, Aidan Curtis, Kevin Feigelis, Daniel M. Bear, Dan Gutfreund, David Cox, Antonio Torralba, James J. DiCarlo, Joshua B. Tenenbaum, Josh H. McDermott, and Daniel L.K. Yamins. "ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation." Conference on Neural Information Processing Systems (NeurIPS), Datasets and Benchmarks Track 35th (2021).
      • 18 Feb 2019
      • Working Paper Summaries

      Diagnostic Bubbles

      Keywords: by Pedro Bordalo, Nicola Gennaioli, Spencer Yongwook Kwon, and Andrei Shleifer; Financial Services
      • August 2020 (Revised February 2021)
      • Case

      Luckin Coffee (A): Caffeine-fueled Growth?

      By: Ramon Casadesus-Masanell and Karen Elterman
      This case describes the founding of Chinese coffee chain Luckin Coffee in 2017 and its path to surpassing Starbucks as the largest coffee chain in China (by number of stores) in 2019. Unlike Starbucks stores, which were designed to be welcoming “third places” for... View Details
      Keywords: Business Model; Business Earnings; Cost; Cost Management; Financial Statements; Financial Condition; Financial Management; Stocks; Profit; Revenue; Price; Food; Business History; Employment; Brands and Branding; Product Positioning; Marketing Strategy; Business Strategy; Expansion; Competitive Strategy; Food and Beverage Industry; Technology Industry; Asia; China
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      Casadesus-Masanell, Ramon, and Karen Elterman. "Luckin Coffee (A): Caffeine-fueled Growth?" Harvard Business School Case 721-370, August 2020. (Revised February 2021.)
      • 04 Dec 2024
      • HBS Seminar

      Mert Demirer, MIT Sloan School of Management

      • 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.
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