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    • All HBS Web  (119,736)
      • Faculty Publications  (3,296)

      Technology and Operations ManagementRemove Technology and Operations Management →

      ← Page 7 of 3,296 Results →
      • August 2024
      • Case

      Scaling Seven Starling

      By: Ryan W. Buell and Carin-Isabel Knoop
      Seven Starling, a maternal mental health startup, is scaling its digital clinic model. Seven Starling addresses perinatal mental health challenges by providing licensed therapists, peer support, and medication to mothers across five states, with a hybrid care model... View Details
      Keywords: Business Model; Business Startups; Health Care and Treatment; Growth and Development Strategy; Mission and Purpose; Health Industry
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      Buell, Ryan W., and Carin-Isabel Knoop. "Scaling Seven Starling." Harvard Business School Case 625-046, August 2024.
      • August 2024 (Revised March 2025)
      • Case

      DBS' AI Journey

      By: Feng Zhu, Harold Zhu and Adina Wong
      Headquartered in Singapore, DBS Bank, one of Asia's leading financial services groups, embarked on a multi-year digital transformation under CEO Piyush Gupta in 2014. It was then that DBS also began experimenting with AI to drive value for the business and customers.... View Details
      Keywords: Corporate Governance; AI and Machine Learning; Digital Transformation; Risk Management; Value Creation; Banking Industry; Financial Services Industry; Asia; Singapore
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      Zhu, Feng, Harold Zhu, and Adina Wong. "DBS' AI Journey." Harvard Business School Case 625-053, August 2024. (Revised March 2025.)
      • 2024
      • Book

      Smart Rivals: How Innovative Companies Play Games That Tech Giants Can't Win

      By: Feng Zhu and Bonnie Yining Cao
      A fresh, research-based look at how companies can better compete, on their own terms, with tech giants. View Details
      Keywords: Growth and Development Strategy; Product Design; Disruptive Innovation; Competitive Advantage
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      Zhu, Feng, and Bonnie Yining Cao. Smart Rivals: How Innovative Companies Play Games That Tech Giants Can't Win. Harvard Business Review Press, 2024.
      • August 2024
      • Technical Note

      Measuring Concentrated Ownership

      By: Christina R. Wing, Everett Alexander and Justin Huang
      Firms with strong governance practices exhibit lower control premiums due to reduced risks and more efficient operations. Conversely, poorly governed firms may exhibit higher control premiums as new owners anticipate the need for substantial governance improvements.... View Details
      Keywords: Concentrated Ownership; Ownership; Corporate Governance; Valuation
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      Wing, Christina R., Everett Alexander, and Justin Huang. "Measuring Concentrated Ownership." Harvard Business School Technical Note 625-031, August 2024.
      • August 2024
      • Background Note

      Mitigating Climate Change with Machine Learning

      By: Michael W. Toffel, Kelsey Carter, Amy Chambers, Avery Park and Susan Pinckney
      This note highlights how machine learning is being used to decarbonize (reduce GHG emissions) several key sectors including electricity, transportation, building, industrial processes, and agriculture -- and how machine learning is being used to accelerate efforts to... View Details
      Keywords: Climate; Artificial Intelligence; Adaptation; Climate Change; AI and Machine Learning; Innovation and Invention
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      Toffel, Michael W., Kelsey Carter, Amy Chambers, Avery Park, and Susan Pinckney. "Mitigating Climate Change with Machine Learning." Harvard Business School Background Note 625-014, August 2024.
      • August 2024
      • Technical Note

      Managing Professional Relationships in the Modern Workplace

      By: Christina R. Wing, Andrew Peddar and Dylan Torchinsky
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      Wing, Christina R., Andrew Peddar, and Dylan Torchinsky. "Managing Professional Relationships in the Modern Workplace." Harvard Business School Technical Note 625-035, August 2024.
      • August 2024
      • Case

      Managing Science: Perspectives from Postdocs

      By: Kyle R. Myers, Rembrand Koning, Solene Delecourt, Katelyn Cranney, Kris Gulati and Scott Sawaya
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      Myers, Kyle R., Rembrand Koning, Solene Delecourt, Katelyn Cranney, Kris Gulati, and Scott Sawaya. "Managing Science: Perspectives from Postdocs." Harvard Business School Case 625-048, August 2024.
      • August 2024
      • Technical Note

      Introduction to Data Analysis in Python

      By: Michael Parzen and Jo Ellery
      This note introduces Python as a tool for data science, including the Pandas library for data analysis. View Details
      Keywords: Analytics and Data Science
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      Parzen, Michael, and Jo Ellery. "Introduction to Data Analysis in Python." Harvard Business School Technical Note 625-016, August 2024.
      • September 2024
      • Article

      Comprehensive Measurement of Biopharmaceutical R&D Investment

      By: Amitabh Chandra, John Drum, Michael Daly, Henry Mirsberger, Samuel Spare, Ulrich Neumann, Silas Martin and Noam Kirson
      Keywords: Research and Development; Investment; Pharmaceutical Industry
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      Chandra, Amitabh, John Drum, Michael Daly, Henry Mirsberger, Samuel Spare, Ulrich Neumann, Silas Martin, and Noam Kirson. "Comprehensive Measurement of Biopharmaceutical R&D Investment." Nature Reviews: Drug Discovery 23, no. 9 (September 2024): 652–653.
      • August 2024 (Revised November 2024)
      • Case

      Commonwealth Fusion Systems: Born at Scale

      By: Joshua Lev Krieger, Jim Matheson, Kyle Myers, Gunnar Trumbull and Richard Vietor
      This case study chronicles the journey of Commonwealth Fusion Systems (CFS) on its ambitious mission to commercialize fusion energy and become the world’s leading provider of fusion power plants. Emerging from a “special arrangement” with MIT's Plasma Science and... View Details
      Keywords: Nuclear Energy; Innovation; Entrepreneurship; Entrepreneurial Finance; Energy Generation; Commercialization; Science-Based Business; Technological Innovation; Market Entry and Exit; Energy Industry
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      Krieger, Joshua Lev, Jim Matheson, Kyle Myers, Gunnar Trumbull, and Richard Vietor. "Commonwealth Fusion Systems: Born at Scale." Harvard Business School Case 825-061, August 2024. (Revised November 2024.)
      • 2025
      • Working Paper

      Narrative AI and the Human-AI Oversight Paradox in Evaluating Early-Stage Innovations

      By: Jacqueline N. Lane, Léonard Boussioux, Charles Ayoubi, Ying Hao Chen, Camila Lin, Rebecca Spens, Pooja Wagh and Pei-Hsin Wang
      Do AI-generated narrative explanations enhance human oversight or diminish it? We investigate this question through a field experiment with 228 evaluators screening 48 early-stage innovations under three conditions: human-only, black-box AI recommendations without... View Details
      Keywords: Large Language Models; AI and Machine Learning; Innovation and Invention; Decision Making
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      Lane, Jacqueline N., Léonard Boussioux, Charles Ayoubi, Ying Hao Chen, Camila Lin, Rebecca Spens, Pooja Wagh, and Pei-Hsin Wang. "Narrative AI and the Human-AI Oversight Paradox in Evaluating Early-Stage Innovations." Harvard Business School Working Paper, No. 25-001, August 2024. (Revised May 2025.)
      • 2024
      • Article

      Crucibles, Multiple Sensitive Periods, and Career Progression

      By: Prithwiraj Choudhury, Sunasir Dutta, Hise O. Gibson and Eric Lin
      We study the effects of crucible experiences along multiple sensitive periods on career progression. While prior literature has hinted that individuals can be imprinted during multiple sensitive periods, not just during the early career, there has been scant attention... View Details
      Keywords: Military Service; Personal Development and Career; Transformation; Power and Influence; Learning; Human Capital
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      Choudhury, Prithwiraj, Sunasir Dutta, Hise O. Gibson, and Eric Lin. "Crucibles, Multiple Sensitive Periods, and Career Progression." Academy of Management Proceedings (2024).
      • 2024
      • Article

      Neyman Meets Causal Machine Learning: Experimental Evaluation of Individualized Treatment Rules

      By: Michael Lingzhi Li and Kosuke Imai
      A century ago, Neyman showed how to evaluate the efficacy of treatment using a randomized experiment under a minimal set of assumptions. This classical repeated sampling framework serves as a basis of routine experimental analyses conducted by today’s scientists across... View Details
      Keywords: AI and Machine Learning; Research
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      Li, Michael Lingzhi, and Kosuke Imai. "Neyman Meets Causal Machine Learning: Experimental Evaluation of Individualized Treatment Rules." Journal of Causal Inference 12, no. 1 (2024).
      • July 2024
      • Technical Note

      Introduction to SQL in Python

      By: Michael Parzen and Jo Ellery
      This note walks through the basics of SQL and how to use this language in Python via the SQLite package. View Details
      Keywords: Analytics and Data Science
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      Parzen, Michael, and Jo Ellery. "Introduction to SQL in Python." Harvard Business School Technical Note 625-024, July 2024.
      • July 2024
      • Technical Note

      Version Control and Web Deployment

      By: Michael Parzen and Jo Ellery
      This note introduces version control using Git and GitHub, with an example covering how to make simple web applications. View Details
      Keywords: Applications and Software
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      Parzen, Michael, and Jo Ellery. "Version Control and Web Deployment." Harvard Business School Technical Note 625-018, July 2024.
      • July 2024 (Revised March 2025)
      • Technical Note

      Note on Working with Relatives in the Family Enterprise

      By: Christina R. Wing and Hillary B Sieber
      This note delves into the intricacies of working with relatives, offering insights and strategic recommendations for navigating the opportunities and complexities inherent in such environments. This note will cover common challenges, best practices and key governance... View Details
      Keywords: Family and Family Relationships; Governance Controls; Family Business; Business or Company Management
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      Wing, Christina R., and Hillary B Sieber. "Note on Working with Relatives in the Family Enterprise." Harvard Business School Technical Note 625-034, July 2024. (Revised March 2025.)
      • July 2024
      • Case

      Porsche

      By: Stefan Thomke and Daniela Beyersdorfer
      The case reveals how Porsche has become one of the world’s leading car companies. Central to Porsche’s growth strategy is creating great products, including its legendary 911 Carrera sportscar, and offering innovative customer experiences. As the automotive industry is... View Details
      Keywords: Change Management; Product Development; Growth and Development Strategy; Product Marketing; Auto Industry; Germany; Europe
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      Thomke, Stefan, and Daniela Beyersdorfer. "Porsche." Harvard Business School Case 625-038, July 2024.
      • July 2024
      • Technical Note

      Introduction to Optimization Using Python

      By: Michael Parzen and Jo Ellery
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      Parzen, Michael, and Jo Ellery. "Introduction to Optimization Using Python." Harvard Business School Technical Note 625-017, July 2024.
      • July 2024
      • Case

      “In That Crucible, You Find Innovation”: Public Safety Transformation in Albuquerque

      By: Hise O. Gibson and Antonio Manuel Oftelie
      “In That Crucible, You Find Innovation”: Public Safety Transformation in Albuquerque" centers on Mayor Tim Keller’s leadership during the social justice protests in 2020 and his efforts to reinvent Albuquerque’s public safety model. Faced with both a federal consent... View Details
      Keywords: Change Management; Government Administration; Leading Change; Safety; Social Issues; Governing Rules, Regulations, and Reforms; Ethics; Public Administration Industry; New Mexico
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      Gibson, Hise O., and Antonio Manuel Oftelie. "“In That Crucible, You Find Innovation”: Public Safety Transformation in Albuquerque." Harvard Business School Case 625-026, July 2024.
      • July 2024
      • Technical Note

      What Is AI?

      By: Michael Parzen and Jo Ellery
      This note discusses definitions of artificial intelligence and covers the broad types of learning used in training AI, as well as explaining in detail how neural networks are built, trained, and used. View Details
      Keywords: AI and Machine Learning
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      Parzen, Michael, and Jo Ellery. "What Is AI?" Harvard Business School Technical Note 625-010, July 2024.
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