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  • All HBS Web  (667)
    • News  (145)
    • Research  (427)
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Show Results For

  • All HBS Web  (667)
    • News  (145)
    • Research  (427)
    • Events  (20)
    • Multimedia  (12)
  • Faculty Publications  (308)
← Page 14 of 667 Results →
  • 2021
  • Working Paper

The Demand for Executive Skills

By: Stephen Hansen, Raffaella Sadun, Tejas Ramdas and Joseph B. Fuller
We use a unique corpus of job descriptions for C-suite positions to document skills requirements in top managerial occupations across a large sample of firms. A novel algorithm maps the text of each executive search into six separate skill clusters reflecting... View Details
Keywords: C-Suite; Jobs and Positions; Competency and Skills; Management Skills; Job Search; Job Design and Levels
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Hansen, Stephen, Raffaella Sadun, Tejas Ramdas, and Joseph B. Fuller. "The Demand for Executive Skills." Harvard Business School Working Paper, No. 21-133, June 2021.
  • Winter 2016
  • Article

Analytics for an Online Retailer: Demand Forecasting and Price Optimization

By: Kris J. Ferreira, Bin Hong Alex Lee and David Simchi-Levi
We present our work with an online retailer, Rue La La, as an example of how a retailer can use its wealth of data to optimize pricing decisions on a daily basis. Rue La La is in the online fashion sample sales industry, where they offer extremely limited-time... View Details
Keywords: Internet and the Web; Price; Forecasting and Prediction; Revenue; Sales; Retail Industry
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Ferreira, Kris J., Bin Hong Alex Lee, and David Simchi-Levi. "Analytics for an Online Retailer: Demand Forecasting and Price Optimization." Manufacturing & Service Operations Management 18, no. 1 (Winter 2016): 69–88.

    Balancing Risk and Reward: An Automated Phased Release Strategy

    Phased releases are a common strategy in the technology industry for gradually releasing new products or updates through a sequence of A/B tests in which the number of treated units gradually grows until full deployment or deprecation. Performing phased releases... View Details
    • 2021
    • Working Paper

    The Demand for Executive Skills

    By: Stephen Hansen, Tejas Ramdas, Raffaella Sadun and Joseph B. Fuller
    We use a unique corpus of job descriptions for C-suite positions to document skills requirements in top managerial occupations across a large sample of firms. A novel algorithm maps the text of each executive search into six separate skill clusters reflecting... View Details
    Keywords: Executives; Management Skills; Competency and Skills
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    Hansen, Stephen, Tejas Ramdas, Raffaella Sadun, and Joseph B. Fuller. "The Demand for Executive Skills." NBER Working Paper Series, No. 28959, June 2021.
    • March 2021
    • Case

    VideaHealth: Building the AI Factory

    By: Karim R. Lakhani and Amy Klopfenstein
    Florian Hillen, co-founder and CEO of VideaHealth, a startup that used artificial intelligence (AI) to detect dental conditions on x-rays, spent the early years of his company laying the groundwork for an AI factory. A process for quickly building and iterating on new... View Details
    Keywords: Artificial Intelligence; Innovation and Invention; Disruptive Innovation; Technological Innovation; Information Technology; Applications and Software; Technology Adoption; Digital Platforms; Entrepreneurship; AI and Machine Learning; Technology Industry; Medical Devices and Supplies Industry; North and Central America; United States; Massachusetts; Cambridge
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    Lakhani, Karim R., and Amy Klopfenstein. "VideaHealth: Building the AI Factory." Harvard Business School Case 621-021, March 2021.
    • September 24, 2021
    • Article

    A Labor Movement for the Platform Economy

    By: Li Jin, Scott Duke Kominers and Lila Shroff
    Platforms are fundamentally changing the contract between workers and companies—and the workers and creatives that create value for platform companies, and rely on platforms for their livelihoods, often have little power when it comes to getting their concerns... View Details
    Keywords: Gig Workers; Decentralized Collective Action; Internet and the Web; Labor; Labor and Management Relations; Digital Platforms
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    Jin, Li, Scott Duke Kominers, and Lila Shroff. "A Labor Movement for the Platform Economy." Harvard Business Review Digital Articles (September 24, 2021).
    • 10 Jun 2017
    • News

    How big data helped secure Emmanuel Macron’s astounding victory

      Eliminating unintended bias in personalized policies using Bias Eliminating Adapted Trees (BEAT) - PNAS

      An inherent risk of algorithmic personalization is disproportionate targeting of individuals from certain groups (or demographic characteristics such as gender or race), even when the decision maker does not intend to discriminate based on those... View Details

      • February 2024
      • Teaching Note

      Data-Driven Denim: Financial Forecasting at Levi Strauss

      By: Mark Egan
      Teaching Note for HBS Case No. 224-029. Levi Strauss & Co. (“Levi Strauss”) partnered with the IT services company Wipro to incorporate more sophisticated methods, such as machine learning, into their financial forecasting process starting in 2018. The decision to... View Details
      Keywords: Forecasting; Regression; Machine Learning; Artificial Intelligence; Apparel; Corporate Finance; Forecasting and Prediction; AI and Machine Learning; Apparel and Accessories Industry; United States
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      Egan, Mark. "Data-Driven Denim: Financial Forecasting at Levi Strauss." Harvard Business School Teaching Note 224-073, February 2024.
      • April 2020
      • Article

      CEO Behavior and Firm Performance

      By: Oriana Bandiera, Stephen Hansen, Andrea Prat and Raffaella Sadun
      We measure the behavior of 1,114 CEOs in six countries parsing granular CEO diary data through an unsupervised machine learning algorithm. The algorithm uncovers two distinct behavioral types: "leaders" and "managers." Leaders focus on multi-function, high-level... View Details
      Keywords: CEOs; Management; Behavior; Organizations; Performance; Analysis
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      Bandiera, Oriana, Stephen Hansen, Andrea Prat, and Raffaella Sadun. "CEO Behavior and Firm Performance." Journal of Political Economy 128, no. 4 (April 2020): 1325–1369.
      • Spring 2016
      • Article

      Performance Responses to Competition Across Skill-Levels in Rank Order Tournaments: Field Evidence and Implications for Tournament Design

      By: Kevin J. Boudreau, Karim R. Lakhani and Michael E. Menietti
      Tournaments are widely used in the economy to organize production and innovation. We study individual contestant-level data from 2,796 contestants in 774 software algorithm design contests with random assignment. Precisely conforming to theory predictions, the... View Details
      Keywords: Competition; Innovation Strategy
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      Boudreau, Kevin J., Karim R. Lakhani, and Michael E. Menietti. "Performance Responses to Competition Across Skill-Levels in Rank Order Tournaments: Field Evidence and Implications for Tournament Design." RAND Journal of Economics 47, no. 1 (Spring 2016): 140–165.
      • April 2008
      • Article

      The Survey of Industrial R&D—Patent Database Link Project

      By: William R. Kerr and Shihe Fu
      This paper details the construction of a firm-year panel dataset combining the NBER Patent Dataset with the Survey of Industrial R&D conducted by the Census Bureau and National Science Foundation. The dataset constitutes a platform that offers an unprecedented view of... View Details
      Keywords: Analytics and Data Science; Patents; Surveys; Research and Development; Innovation and Invention; Performance Productivity; Projects; Management Practices and Processes; Management Analysis, Tools, and Techniques
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      Kerr, William R., and Shihe Fu. "The Survey of Industrial R&D—Patent Database Link Project." Journal of Technology Transfer 33, no. 2 (April 2008): 173–186.
      • 17 Jun 2015
      • News

      High Yield On Main Street: Investors Earn 12% Lending To Small Business, When Banks Won't

      • Research Summary

      Overview

      By: Antonio Moreno
      Professor Moreno’s research explores how digital technologies are reshaping operational processes, with a particular focus on retail and service industries. His early work examined omnichannel retail—the integration of online and offline channels to create seamless... View Details
      Keywords: Omnichannel; Omni-channel; Omnichannel Retail; Omnichannel Retailing; Retail; Operations; Supply Chain Management; Digital Transformation; Digital Strategy; Retail Industry; Technology Industry; Service Industry; Europe; Spain; Latin America
      • 29 May 2018
      • News

      A Study of NASA Scientists Shows How to Overcome Barriers to Open Innovation

      • July 2023
      • Case

      DayTwo: Going to Market with Gut Microbiome (Abridged)

      By: Ayelet Israeli
      DayTwo is a young Israeli startup that applies research on the gut microbiome and machine learning algorithms to deliver personalized nutritional recommendations to its users in order to minimize blood sugar spikes after meals. After a first year of trial rollout in... View Details
      Keywords: Business Startups; AI and Machine Learning; Nutrition; Market Entry and Exit; Product Marketing; Distribution Channels
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      Israeli, Ayelet. "DayTwo: Going to Market with Gut Microbiome (Abridged)." Harvard Business School Case 524-015, July 2023.
      • May 2023
      • Technical Note

      Dynamic Pricing: Timing is Everything

      By: Elie Ofek
      This note provides a comprehensive exposition to the topic of dynamic pricing (whereby the fee customers are charged is time-dependent). It covers the motivation for firms to engage in dynamic pricing, provides a typology of the main formats dynamic pricing can take,... View Details
      Keywords: Dynamic Pricing; Price
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      Ofek, Elie. "Dynamic Pricing: Timing is Everything." Harvard Business School Technical Note 523-110, May 2023.
      • Article

      Crowdsourcing City Government: Using Tournaments to Improve Inspection Accuracy

      By: Edward Glaeser, Andrew Hillis, Scott Duke Kominers and Michael Luca
      The proliferation of big data makes it possible to better target city services like hygiene inspections, but city governments rarely have the in-house talent needed for developing prediction algorithms. Cities could hire consultants, but a cheaper alternative is to... View Details
      Keywords: User-generated Content; Operations; Tournaments; Policy-making; Machine Learning; Online Platforms; Analytics and Data Science; Mathematical Methods; City; Infrastructure; Business Processes; Government and Politics
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      Glaeser, Edward, Andrew Hillis, Scott Duke Kominers, and Michael Luca. "Crowdsourcing City Government: Using Tournaments to Improve Inspection Accuracy." American Economic Review: Papers and Proceedings 106, no. 5 (May 2016): 114–118.
      • 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.
      • 20 Apr 2021
      • News

      10 Things Your Artificial Intelligence Initiative Needs to Succeed

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