Skip to Main Content
HBS Home
  • About
  • Academic Programs
  • Alumni
  • Faculty & Research
  • Baker Library
  • Giving
  • Harvard Business Review
  • Initiatives
  • News
  • Recruit
  • Map / Directions
Faculty & Research
  • Faculty
  • Research
  • Featured Topics
  • Academic Units
  • …→
  • Harvard Business School→
  • Faculty & Research→
  • Research
    • Research
    • Publications
    • Global Research Centers
    • Case Development
    • Initiatives & Projects
    • Research Services
    • Seminars & Conferences
    →
  • Publications→

Publications

Publications

Filter Results: (604) Arrow Down
Filter Results: (604) Arrow Down Arrow Up

Show Results For

  • All HBS Web  (3,063)
    • Faculty Publications  (604)

    Show Results For

    • All HBS Web  (3,063)
      • Faculty Publications  (604)

      Machine Learning ModelsRemove Machine Learning Models →

      ← Page 15 of 604 Results →

      Are you looking for?

      →Search All HBS Web
      • July 2022
      • Article

      A Strategic View of Team Learning in Organizations

      By: Jean-François Harvey, Henrik Bresman, Amy C. Edmondson and Gary P. Pisano
      Research in strategic management and organizational behavior has increasingly focused on understanding how organizations achieve and sustain performance in fast-changing environments. Strategy research suggests that senior managers, through their decisions, influence... View Details
      Keywords: Strategic Management; Organization Behavior; Teams; Organizational Capabilities; Groups and Teams; Learning; Management; Decision Making; Performance; Organizational Design
      Citation
      Find at Harvard
      Purchase
      Related
      Harvey, Jean-François, Henrik Bresman, Amy C. Edmondson, and Gary P. Pisano. "A Strategic View of Team Learning in Organizations." Academy of Management Annals 16, no. 2 (July 2022): 476–507.
      • 2022
      • Working Paper

      Product2Vec: Leveraging Representation Learning to Model Consumer Product Choice in Large Assortments

      By: Fanglin Chen, Xiao Liu, Davide Proserpio and Isamar Troncoso
      We propose a method, Product2Vec, based on representation learning, that can automatically learn latent product attributes that drive consumer choices, to study product-level competition when the number of products is large. We demonstrate Product2Vec’s... View Details
      Keywords: Consumer Choice; Consumer Behavior; Competition; Product Marketing
      Citation
      SSRN
      Read Now
      Related
      Chen, Fanglin, Xiao Liu, Davide Proserpio, and Isamar Troncoso. "Product2Vec: Leveraging Representation Learning to Model Consumer Product Choice in Large Assortments." NYU Stern School of Business Research Paper Series, July 2022.
      • June 2022 (Revised January 2023)
      • Case

      Buurtzorg

      By: Ethan Bernstein, Tatiana Sandino, Joost Minnaar and Annelena Lobb
      As co-founders of home nursing company Buurtzorg, Jos de Blok and Gonnie Kronenberg prized both self-management and organizational learning. Buurtzorg’s 10,000 nurses across 950 neighborhood nursing teams in the Netherlands were empowered to manage themselves, both in... View Details
      Keywords: Healthcare; Best Practices; Best Practices Transfer; Flat Organization; Self-Managed Organizations; Self-Managed Teams; Organizational Learning; Knowledge Management; Learning; Management Practices and Processes; Human Resources; Communication; Organizational Structure; Organizational Design; Organizational Change and Adaptation; Groups and Teams; Networks; Health Industry; Netherlands; Europe
      Citation
      Educators
      Purchase
      Related
      Bernstein, Ethan, Tatiana Sandino, Joost Minnaar, and Annelena Lobb. "Buurtzorg." Harvard Business School Case 122-101, June 2022. (Revised January 2023.)
      • 2022
      • Working Paper

      Machine Learning Models for Prediction of Scope 3 Carbon Emissions

      By: George Serafeim and Gladys Vélez Caicedo
      For most organizations, the vast amount of carbon emissions occur in their supply chain and in the post-sale processing, usage, and end of life treatment of a product, collectively labelled scope 3 emissions. In this paper, we train machine learning algorithms on 15... View Details
      Keywords: Carbon Emissions; Climate Change; Environment; Carbon Accounting; Machine Learning; Artificial Intelligence; Digital; Data Science; Environmental Sustainability; Environmental Management; Environmental Accounting
      Citation
      SSRN
      Read Now
      Related
      Serafeim, George, and Gladys Vélez Caicedo. "Machine Learning Models for Prediction of Scope 3 Carbon Emissions." Harvard Business School Working Paper, No. 22-080, June 2022.
      • June 2022
      • Article

      The Use and Misuse of Patent Data: Issues for Finance and Beyond

      By: Josh Lerner and Amit Seru
      Patents and citations are powerful tools for understanding innovation increasingly used in financial economics (and management research more broadly). Biases may result, however, from the interactions between the truncation of patents and citations and the changing... View Details
      Keywords: Patents; Analytics and Data Science; Corporate Finance; Research
      Citation
      Find at Harvard
      Read Now
      Related
      Lerner, Josh, and Amit Seru. "The Use and Misuse of Patent Data: Issues for Finance and Beyond." Review of Financial Studies 35, no. 6 (June 2022): 2667–2704.
      • 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
      Citation
      Read Now
      Related
      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.
      • May 2022
      • Case

      AWS and Amazon SageMaker (A): The Commercialization of Machine Learning Services

      By: Karim R. Lakhani, Shane Greenstein and Kerry Herman
      Citation
      Educators
      Purchase
      Related
      Lakhani, Karim R., Shane Greenstein, and Kerry Herman. "AWS and Amazon SageMaker (A): The Commercialization of Machine Learning Services." Harvard Business School Case 622-060, May 2022.
      • May 2022
      • Supplement

      AWS and Amazon SageMaker (B): The Commercialization of Machine Learning Services

      By: Karim R. Lakhani, Shane Greenstein and Kerry Herman
      Citation
      Purchase
      Related
      Lakhani, Karim R., Shane Greenstein, and Kerry Herman. "AWS and Amazon SageMaker (B): The Commercialization of Machine Learning Services." Harvard Business School Supplement 622-086, May 2022.
      • May 2022 (Revised July 2022)
      • Supplement

      AWS and Amazon SageMaker (C): The Commercialization of Machine Learning Services

      By: Karim R. Lakhani, Shane Greenstein and Kerry Herman
      Citation
      Purchase
      Related
      Lakhani, Karim R., Shane Greenstein, and Kerry Herman. "AWS and Amazon SageMaker (C): The Commercialization of Machine Learning Services." Harvard Business School Supplement 622-087, May 2022. (Revised July 2022.)
      • May 2022 (Revised June 2024)
      • Case

      LOOP: Driving Change in Auto Insurance Pricing

      By: Elie Ofek and Alicia Dadlani
      John Henry and Carey Anne Nadeau, co-founders and co-CEOs of LOOP, an insurtech startup based in Austin, Texas, were on a mission to modernize the archaic $250 billion automobile insurance market. They sought to create equitably priced insurance by eliminating pricing... View Details
      Keywords: AI and Machine Learning; Technological Innovation; Equality and Inequality; Prejudice and Bias; Growth and Development Strategy; Customer Relationship Management; Price; Insurance Industry; Financial Services Industry
      Citation
      Educators
      Purchase
      Related
      Ofek, Elie, and Alicia Dadlani. "LOOP: Driving Change in Auto Insurance Pricing." Harvard Business School Case 522-073, May 2022. (Revised June 2024.)
      • May 2022 (Revised July 2022)
      • Case

      The Voice War Continues: Hey Google vs. Alexa vs. Siri in 2022

      By: David B. Yoffie and Daniel Fisher
      In 2022, after five years of pursuing a new "AI-first" strategy, Google had captured a sizeable share of the American and global markets for voice assistants. Google Assistant was used by hundreds of millions of users around the world, but Amazon retained the largest... View Details
      Keywords: Strategy; Artificial Intelligence; Deep Learning; Voice Assistants; Smart Home; Market Share; Globalized Markets and Industries; Competitive Strategy; Digital Platforms; AI and Machine Learning; Technology Industry; United States
      Citation
      Educators
      Purchase
      Related
      Yoffie, David B., and Daniel Fisher. "The Voice War Continues: Hey Google vs. Alexa vs. Siri in 2022." Harvard Business School Case 722-462, May 2022. (Revised July 2022.)
      • May 2022
      • Article

      Coins for Bombs: The Predictive Ability of On-Chain Transfers for Terrorist Attacks

      By: Dan Amiram, Evgeny Lyandres and Daniel Rabetti
      This study examines whether we can learn from the behavior of blockchain-based transfers to predict the financing of terrorist attacks. We exploit blockchain transaction transparency to map millions of transfers for hundreds of large on-chain service providers. The... View Details
      Keywords: Blockchain; Bitcoin; Accounting; AI and Machine Learning; National Security; Governing Rules, Regulations, and Reforms
      Citation
      Read Now
      Related
      Amiram, Dan, Evgeny Lyandres, and Daniel Rabetti. "Coins for Bombs: The Predictive Ability of On-Chain Transfers for Terrorist Attacks." Journal of Accounting Research 60, no. 2 (May 2022): 427–466.
      • Article

      Developing a Digital Mindset: How to Lead Your Organization into the Age of Data, Algorithms, and AI

      By: Tsedal Neeley and Paul Leonardi
      Learning new technological skills is essential for digital transformation. But it is not enough. Employees must be motivated to use their skills to create new opportunities. They need a digital mindset: a set of attitudes and behaviors that enable people and... View Details
      Keywords: Machine Learning; AI; Information Technology; Transformation; Competency and Skills; Employees; Technology Adoption; Leading Change; Digital Transformation
      Citation
      Find at Harvard
      Read Now
      Purchase
      Related
      Neeley, Tsedal, and Paul Leonardi. "Developing a Digital Mindset: How to Lead Your Organization into the Age of Data, Algorithms, and AI." S22032. Harvard Business Review 100, no. 3 (May–June 2022): 50–55.
      • 2022
      • Article

      Exploring Counterfactual Explanations Through the Lens of Adversarial Examples: A Theoretical and Empirical Analysis.

      By: Martin Pawelczyk, Chirag Agarwal, Shalmali Joshi, Sohini Upadhyay and Himabindu Lakkaraju
      As machine learning (ML) models become more widely deployed in high-stakes applications, counterfactual explanations have emerged as key tools for providing actionable model explanations in practice. Despite the growing popularity of counterfactual explanations, a... View Details
      Keywords: Machine Learning Models; Counterfactual Explanations; Adversarial Examples; Mathematical Methods
      Citation
      Read Now
      Related
      Pawelczyk, Martin, Chirag Agarwal, Shalmali Joshi, Sohini Upadhyay, and Himabindu Lakkaraju. "Exploring Counterfactual Explanations Through the Lens of Adversarial Examples: A Theoretical and Empirical Analysis." Proceedings of the International Conference on Artificial Intelligence and Statistics (AISTATS) 25th (2022).
      • 2022
      • Book

      The Digital Mindset: What It Really Takes to Thrive in the Age of Data, Algorithms, and AI

      By: Paul Leonardi and Tsedal Neeley
      The pressure to "be digital" has never been greater, but you can meet the challenge. The digital revolution is here, changing how work gets done, how industries are structured, and how people from all walks of life work, behave, and relate to each other. To thrive... View Details
      Keywords: Digital; Artificial Intelligence; Big Data; Digital Transformation; Technological Innovation; Transformation; Learning; Competency and Skills
      Citation
      Purchase
      Related
      Leonardi, Paul, and Tsedal Neeley. The Digital Mindset: What It Really Takes to Thrive in the Age of Data, Algorithms, and AI. Boston, MA: Harvard Business Review Press, 2022.
      • April 2022
      • Supplement

      Mastercard Labs (B)

      By: Linda A. Hill, Sunil Gupta, Emily Tedards and Julia Kelley
      When Ajaypal (Ajay) Banga became the CEO of Mastercard in 2010, digital technologies were on the rise, and innovation needed to become a strategic imperative at the company. Banga tasked Garry Lyons, who had joined Mastercard through the 2009 acquisition of Orbiscom,... View Details
      Keywords: Organizational Behavior; Culture; Transformation; Organizational Culture; Culture Change; Organizational Adaptation; Organizational Effectiveness; Alignment; Leadership; Leadership Development; Innovation; Innovation Ecosystems; Diversity; Collaboration; Co-creation; Learning Organizations; Empowerment; Ecosystem; Agility; Prototype; Experiment; Partnerships; Operating Model; Risk Management; Digital Transformation; Metrics; Payments; Financial Industry; Financial Inclusion; Ambidexterity; Corporate Innovation; Innovation Lab; Accelerator; Start-up; Fintech
      Citation
      Purchase
      Related
      Hill, Linda A., Sunil Gupta, Emily Tedards, and Julia Kelley. "Mastercard Labs (B)." Harvard Business School Supplement 422-081, April 2022.
      • April 2022 (Revised May 2022)
      • Case

      Mastercard Labs (A)

      By: Linda A. Hill, Sunil Gupta, Emily Tedards and Julia Kelley
      When Ajaypal (Ajay) Banga became the CEO of Mastercard in 2010, he shifted the company’s competitive focus from card networks to cash itself. Mastercard’s new vision of a “World Beyond Cash” distilled into a three-pronged framework: Grow the core business, Diversify... View Details
      Keywords: Organizational Behavior; Culture; Culture Change; Organizational Adaptation; Organizational Effectiveness; Alignment; Leadership; Leadership Development; Innovation; Innovation Ecosystems; Ecosystem; Diversity; Collaboration; Co-creation; Learning Organizations; Empowerment; Globalization; Agility; Prototype; Experiment; Partnerships; Operating Model; Risk Management; Metrics; Payments; Financial Inclusion; Financial Industry; Ambidexterity; Corporate Innovation; Innovation Lab; Digital Transformation; Digital Strategy; Credit Cards; Innovation Leadership; Organizational Culture
      Citation
      Educators
      Purchase
      Related
      Hill, Linda A., Sunil Gupta, Emily Tedards, and Julia Kelley. "Mastercard Labs (A)." Harvard Business School Case 422-080, April 2022. (Revised May 2022.)
      • April 2022 (Revised May 2022)
      • Case

      Mastercard Labs (A) (Abridged)

      By: Linda A. Hill, Sunil Gupta, Emily Tedards and Julia Kelley
      When Ajaypal (Ajay) Banga became the CEO of Mastercard in 2010, he shifted the company’s competitive focus from card networks to cash itself. Mastercard’s new vision of a “World Beyond Cash” distilled into a three-pronged framework: Grow the core business, Diversify... View Details
      Keywords: Organizational Behavior; Culture; Organizational Culture; Culture Change; Organizational Adaptation; Organizational Effectiveness; Alignment; Leadership; Leadership Development; Innovation; Innovation Ecosystems; Diversity; Collaboration; Co-creation; Learning Organizations; Empowerment; Ecosystem; Agility; Prototype; Experiment; Partnerships; Operating Model; Risk Management; Metrics; Payments; Financial Inclusion; Financial Industry; Ambidexterity; Corporate Innovation; Innovation Lab; Accelerator; Start-up; Intrapreneurship; Competitive Strategy; Business Model; Technological Innovation; Growth and Development Strategy; Digital Transformation
      Citation
      Educators
      Purchase
      Related
      Hill, Linda A., Sunil Gupta, Emily Tedards, and Julia Kelley. "Mastercard Labs (A) (Abridged)." Harvard Business School Case 422-082, April 2022. (Revised May 2022.)
      • April–June 2022
      • Other Article

      Commentary on 'Causal Decision Making and Causal Effect Estimation Are Not the Same... and Why It Matters'

      By: Edward McFowland III
      There has been a substantial discussion in various methodological and applied literatures around causal inference; especially in the use of machine learning and statistical models to understand heterogeneity in treatment effects and to make optimal decision... View Details
      Keywords: Causal Inference; Treatment Effect Estimation; Treatment Assignment Policy; Human-in-the-loop; Decision Making; Fairness
      Citation
      Find at Harvard
      Purchase
      Related
      McFowland III, Edward. "Commentary on 'Causal Decision Making and Causal Effect Estimation Are Not the Same... and Why It Matters'." INFORMS Journal on Data Science 1, no. 1 (April–June 2022): 21–22.
      • March 2022 (Revised January 2025)
      • Technical Note

      Prediction & Machine Learning

      By: Iavor I. Bojinov, Michael Parzen and Paul Hamilton
      This note provides an introduction to machine learning for an introductory data science course. The note begins with a description of supervised, unsupervised, and reinforcement learning. Then, the note provides a brief explanation of the difference between traditional... View Details
      Keywords: Machine Learning; Data Science; Learning; Analytics and Data Science; Performance Evaluation; AI and Machine Learning
      Citation
      Educators
      Purchase
      Related
      Bojinov, Iavor I., Michael Parzen, and Paul Hamilton. "Prediction & Machine Learning." Harvard Business School Technical Note 622-101, March 2022. (Revised January 2025.)
      • ←
      • 15
      • 16
      • …
      • 30
      • 31
      • →

      Are you looking for?

      →Search All HBS Web
      ǁ
      Campus Map
      Harvard Business School
      Soldiers Field
      Boston, MA 02163
      →Map & Directions
      →More Contact Information
      • Make a Gift
      • Site Map
      • Jobs
      • Harvard University
      • Trademarks
      • Policies
      • Accessibility
      • Digital Accessibility
      Copyright © President & Fellows of Harvard College.